It is not.

You copy a pattern, paste it into one filter, and GSC does work that used to mean exporting to Sheets.

You do not need to be technical. If a pattern needs tweaking, describe what you want to any current AI model and ask it for RE2 syntax that works in GSC.

Any model does this well now, so there is no need to pay for a specific one.

How to Use This Guide

There are two ways to use what follows.

1. Copy a pattern straight into GSC.
2. Or take one as a starting point and swap the words inside it.

Every pattern goes into the Performance report.

Open the report, add a filter, choose Query or Page.

Then pick the Custom (regex) option. Set it to Matches regex to keep what fits the pattern, or Doesn’t match regex to exclude it.

How Regex Actually Behaves in GSC

*Skip this section if you just want to copy-paste some Regex.

GSC runs on RE2, Google’s own regex engine. It behaves differently from the regex you copy off Stack Overflow. Five rules cover most of the pain.

• Query data is lowercase. Capitals in a query pattern match nothing. Prefix with (?i) out of habit and stop thinking about case.
• Matching is partial by default. Your pattern matches anywhere in the string unless you anchor it with ^ for the start or $ for the end. You rarely need .* wrappers.
• Use word boundaries. Without \b, the pattern can matches “scan”, “candle”, and “cancer”. Adding \b fixes it.
• No lookaheads, lookbehinds, or backreferences. RE2 does not support (?=...), (?<=...), or \1. Patterns that use them fail, usually with no error and no data. For “not this”, use the “Doesn’t match regex” option instead of a negative lookahead.
• An empty report usually means a broken pattern, not no data. Test in Regex101 with the flavor set to Golang, which uses RE2.

Brand vs Non-Brand

This is my favorite regex, and the one I reach for first. It splits your queries into branded and non-branded, so you can see brand lift from a launch or a seasonal dip without guessing.

Build one pattern that holds your brand, its spelling variants, and its common misspellings.

(?i)(yourbrand|your brand|yourbrnad|common misspelling)

Replace the placeholders with your actual terms. For a brand like Microsoft it might look like this:

(?i)(microsoft|micrsoft|mircosoft|microsft|msft)

The fastest way to build a complete version:

• Filter your queries to your homepage.
• Export the queries and sort by clicks.
• Pull out the branded terms and misspellings.
• Paste them into an AI model and ask for a GSC-ready RE2 pattern.

Then use it two ways.

Branded Queries: Set the filter to Matches regex to see branded demand.

Non-Branded Queries: Change to Doesn’t match regex to see everything else, which is your non-brand universe.

GSC Built-in Brand vs Non-Brand

Since last year, Google Search Console includes a Branded and Non-Branded queries functionality, but I have found it to be lacking sometimes.

Use regex when you want to include or exclude specific variations of branded terms.

Long-tail Questions for AI Search

Question queries are the most common query fan-outs for AI search. These are the queries where a direct, well-structured answer wins the citation.

(?i)^(who|what|where|when|why|how|which|can|do|does|is|are|will|should)\b

Short questions are hard to rank for. Narrow to the long-tail versions, eight words or more, where the intent is clearer and the competition thinner:

(?i)^(who|what|where|when|why|how|which|can|do|does|is|are)\b(\W+\w+){7,}

*Change the number at {7,} for questions with more or less words. For example, conversational strings that show how AI-era search behaves, ten words or more:

^(\w+\s){9,}\w+$

Change the 9 to test other lengths. Push it much higher to isolate the unusually long, structured queries that can point to AI-assisted or machine-generated searches:

^(\w+\s){31,}\w+$

\w skips apostrophes, so contractions nudge the word count. Treat it as a cue to investigate.

Short-Tail and Long-Tail Queries

Word count is a fast proxy for intent and difficulty. Short queries are broad and competitive. Long queries are specific and easier to win.

Short-tail, one to four words:

^(\w+\s){0,3}\w+$

Long-tail, eight words or more:

^(\w+\s){7,}\w+$

Change the numbers to move the threshold wherever you want to test.

Intent Filters

Group your queries by what the searcher wants to do. Each of these goes in the Query filter. Together they turn a flat query list into a funnel.

Commercial and comparison (people weighing options):

(?i)\b(best|top|alternative|alternatives|vs|versus|compare|comparison|review|reviews|cheapest)\b

You can see my commercial intent queries using the same regex in the example above.

Local intent (people looking nearby):

(?i)\b(near me|nearby|near by|closest|close to me|in my area|open now)\b

Price and buying intent (people close to a decision):

(?i)\b(price|pricing|cost|how much|cheap|cheapest|discount|coupon|promo|deal|free trial|buy|for sale)\b

Content format (the shape of answer they want):

(?i)\b(template|checklist|cheat ?sheet|pdf|download|spreadsheet|calculator|generator|tool|example|guide|tutorial)\b

Year and freshness (people who want current information, and your cue to refresh a page):

\b20\d{2}\b

Countries and Languages (International SEO)

If you run a large multi-regional site, you have several solutions of monitoring Search results. You may need to have separate GSCs per region / language (using subdomains or foldering).

But, if you have a single Google Search Console for an international site, Regex can save you while looking for specific countries.

Regex runs on the Query and Page filters only, never on the Country dimension. For where the searcher is located, use the built-in Country filter.

To use Regex, you will need to look at the URL – subdomains or foldering sections. An example targeting German visitors:

de.mysite.com

or

mysite.com/de

Per-market performance by URL section

If your site folders by country or language, a Page regex isolates each market. Page matching is case-sensitive, and dots need escaping.

Subfolders on one domain:

^https://yourdomain\.com/(es|fr|de|it|pt|nl|pl)/

Any locale folder, wherever it sits in the path:

/(es|fr|de|it|pt|pt-br|en-gb|en-us)/

Locale subdomains:

^https://(es|fr|de|it)\.yourdomain\.com

Use ISO alpha-2 codes to match your own structure. To compare one market against everything else, run the same pattern with Doesn’t match regex.

Ready-made geo groupings

Three groupings people reach for most, each as one Page filter. Codes are ISO alpha-2. Fold by country and these pull the whole region in a single view.

Europe (the EU plus the UK, Switzerland, and Norway):

/(at|be|bg|hr|cy|cz|dk|ee|fi|fr|de|gr|hu|ie|it|lv|lt|lu|mt|nl|pl|pt|ro|sk|si|es|se|gb|uk|ch|no)/

Tier 1 (the wealthiest, highest-CPC markets, straight from the Tier 1 countries list):

/(au|at|be|ca|dk|fi|fr|de|ie|it|lu|nl|nz|no|es|se|ch|gb|uk|us)/

APAC (major Asia-Pacific markets):

/(au|nz|jp|cn|hk|tw|kr|sg|my|id|th|ph|vn|in|pk|bd|lk)/

Anchor any of them to your domain, and for language-region folders like /en-us/ or /de-ch/, match the region on the end:

^https://yourdomain\.com/(au|at|be|ca|dk|fi|fr|de|ie|it|lu|nl|nz|no|es|se|ch|gb|uk|us)/
/[a-z]{2}-(au|at|be|ca|dk|fi|fr|de|ie|it|lu|nl|nz|no|es|se|ch|gb|uk|us)/

Three notes before you paste:

• gb is the ISO code for the United Kingdom, but many sites use /uk/, so both are in the patterns.
• Bare two-letter codes are greedy. /it/ catches Italy and an IT section, /in/ catches India and an “in” folder, /id/ catches Indonesia and an id folder. Test against your real URLs first.
• Want Tier 2 and Tier 3 as their own filters? Build them the same way off the full country tier list.

Geo-modified query intent

Different job. These catch searches where someone types a place into the box, like “crm software germany” or “melhor crm brasil”. Set the filter to Query and use (?i) because query data arrives lowercase. Include native spellings and unaccented variants, because people type both “españa” and “espana”. You can rebuild any of the three page groupings above as a query filter by swapping the ISO codes for country names.

North America:

(?i)\b(usa|u\.s\.a|united states|america|canada|mexico|méxico)\b

South America:

(?i)\b(brazil|brasil|argentina|colombia|chile|peru|perú|venezuela|ecuador|bolivia|paraguay|uruguay|guyana|suriname)\b

Spanish-speaking countries:

(?i)\b(espana|españa|mexico|méxico|argentina|colombia|chile|peru|perú|venezuela|ecuador|guatemala|cuba|bolivia|dominicana|honduras|paraguay|salvador|nicaragua|costa rica|panama|panamá|uruguay)\b

Portuguese-speaking countries:

(?i)\b(brasil|brazil|portugal|angola|mocambique|moçambique|cabo verde|guine|guiné)\b

One caveat, and it matters. Most local searches do not contain the country name. Someone in Spain searches “zapatos”, not “zapatos españa”. So this catches explicit geo-modified demand only, a slice, not the whole market. For true market performance, use the Country dropdown or the Page patterns above.

Product IDs and SKUs

For ecommerce, regex lets you track a series of products even when they sit across many URLs. Say your IDs look like A123, PR097, or ABC234. This pattern finds them:

^(A\d{3}|PR\d{3}|ABC\s?\d{3})$

Use it in the Page filter. Change the letter prefixes and digit counts to match your own SKU structure. The same idea groups any related set of pages: colors, clothing types, or content categories like guides and templates.

Misspellings

Misspellings work like the brand pattern, but for non-branded terms. Collect the variants you see in your query report, or ask an AI model for the common misspellings of a target word, then wrap them in one pattern.

(?i)(definately|definitely|seperate|separate|recieve|receive)

Swap in your own set. This surfaces demand you are quietly ranking for and shows where a corrected on-page mention could pick up easy impressions.

Make Some SEO Magic

These are a fraction of what regex can do inside Search Console. The point is not the patterns themselves. It is that a couple of minutes of setup replaces a routine you have been doing in Sheets. Branded versus non-branded, question demand, buying intent, and market-by-market performance are all one filter away.

A few of the patterns I used while updating the article were inspired by Amy Lynch‘s carousel, Head of SEO at Gravytrain.

This guide takes a different angle: 8 software tools mapped to the business models they actually fit, with verified pricing, real review quotes, and honest trade-offs for each.

The goal is to leave you with a two-or three-tool shortlist worth trialing.

Start with the comparison table below, then jump to the section that matches your use case.

Disclaimer: The information on these platforms is valid as of June 2026. Software offerings, pricing, and features change; verify current details directly with each vendor before making a decision.

Now, let’s review each platform in detail.

1. Viral Loops

Viral Loops is a referral marketing platform built for growth teams that need to launch referral, waitlist, and giveaway campaigns without writing custom code or waiting weeks for engineering bandwidth.

The platform takes a templates-first approach to building a referral program. Templates cover the most common viral mechanics, with examples documented on the Viral Loops site referencing programs from Dropbox, Mailchimp, Harry’s, and Uber as inspiration.

Source: viral-loops.com

Teams without a website ready to host a campaign can use Viral Loops Pages, a hosted landing page builder included with the platform.

Teams with a site can install a JavaScript widget, deploy via an AI-driven installer that wires custom forms into the campaign, or build directly against the API and SDK for in-product placements.

Two things differentiate Viral Loops from purpose-built B2B SaaS or DTC ecommerce tools.

The first is the breadth of campaign types under one roof: milestone referrals, waitlists, sweepstakes and giveaways, leaderboards, refer-a-friend flows, and an affiliate program tier for promoting top referrers all run on the same engine.

The second is the reward stack: a native Stripe Connect integration handles cash payouts, and an official Tremendous partnership covers gift card distribution.

The Viral Loops customer support team is a recurring theme across G2 and Capterra reviews, both for fast response times and for the program-design input they offer alongside technical help.

Key features

• Pre-built campaign templates modeled on proven viral programs (milestone referrals, waitlists, leaderboards, sweepstakes, refer-a-friend flows).
• AI-powered campaign installer for no-code deployment, including custom form integration and platform-agnostic widgets.
• Landing page builder for hosting referral campaigns without a separate site builder.
• Real-time analytics dashboard for tracking shares, conversions, and reward fulfillment by channel.
• Hands-on customer support with rapid response times and strategic campaign guidance.

Pricing

Viral Loops uses tiered pricing based on campaign participants and business size.

Yearly billing saves 30%:

• Start-up: $49/month ($35/month billed annually, up to 1,000 participants)
• Plus: $139/month (up to 5,000 participants)
• Growing: $229/month
• Power: $399/month (priority support, white-label widgets)

Enterprise plans, concierge services, and custom feature development are available on demand.

A 14-day free trial is available across all plans (capped at 8 participants).

Integrations

Stripe and Tremendous for reward fulfillment, Shopify for ecommerce, HubSpot for CRM sync, Mailchimp and Klaviyo for email, Mixpanel for behavioral analytics, plus WordPress, Zapier, AWeber, Mailjet, Instapage, and webhooks.

Pros

• Exceptional customer service: “When I did encounter a challenge […] the Viral Loops team jumped on it […] and did a thorough job investigating and getting it sorted. That alone has made me want to stay with them.”
• Powerful product with time-saving features: “The platform provides pre-built templates for different use cases, […] which save a lot of time. The integration with tools like Shopify and email marketing platforms is seamless, and the analytics dashboard is intuitive, helping us track campaign performance in real time.”
• Simple interface: “What I like best about Viral Loops is how easy it makes creating referral and viral marketing campaigns. The setup process is straightforward, and the automation helps grow audiences and engagement.”

Cons

• Limited customization freedom: Customization options can feel limited for bespoke campaigns, and advanced setups sometimes require workarounds or indirect integrations.
• Restricted multilingual customization: Editing campaigns in non-English languages without support can be inconsistent, with some users reporting issues with language switching between campaigns.

Best for

• Startups and tech companies
• Fintech companies
• E-commerce businesses
• Newsletter creators and content publishers
• Customer referral programs

2. ReferralCandy

ReferralCandy is one of the most established referral platforms purpose-built for ecommerce.

The product includes post-purchase popups, embedded widgets on product and account pages, and automated invitation emails triggered after an order ships.

Source: referralcandy.com

What makes ReferralCandy distinct in this list is its commercial model.

Most platforms charge by participant count or a flat subscription; ReferralCandy adds a percentage commission on referred revenue on top of a lower base fee.

The result is favorable economics for stores still testing whether referrals are a viable channel and steadily worse economics for stores running a high-volume program.

On the operational side, the platform automates the parts of referral that usually leak time: it pushes rewards to customers as store credit, discount codes, or cash payouts; flags duplicate sign-ups, suspicious IPs, and self-referral patterns for review; and lets brands customize the landing page, invitation emails, and on-site banners without leaving the dashboard.

Key features

• On-site signup widgets that embed referral invitations into product pages, post-purchase flows, and account pages.
• FlexiTiers reward system that incentivizes higher-volume referrers with escalating rewards.
• Automated reward fulfillment for cash payouts, store credit, and discount coupons.
• Built-in fraud detection flagging suspicious patterns for manual review.
• Custom branding with editable landing pages, emails, and banners.

Pricing

• Basic: $39/month + 10.5% success fee
• Grow: $79/month + 3.5% success fee
• Scale: $249/month + 1.5% success fee
• Enterprise: $799/month + 0.25% success fee

A 7-day free trial is available.

Integrations

Shopify, WooCommerce, BigCommerce, Magento, ReCharge, Klaviyo, Mailchimp, Google Ads, and Meta Ads.

Pros

• Easy setup: Retail brands consistently flag how user-friendly the setup is for non-technical teams.
• Responsive support: Users highlight quick response times when issues come up.
• Solid analytics dashboard that surfaces referral revenue, share counts, and reward fulfillment at a glance.

Cons

• Performance lag inside Shopify: Some users report the app can slow down the Shopify admin, particularly when pinned to the dropdown menu.
• Limited theme and email customization: Granular control over email templates and notification logic is more restricted than on developer-first platforms.

Best for

• Shopify and BigCommerce merchants who want a referral channel without engineering involvement.
• DTC brands testing referral marketing for the first time and willing to pay a success fee on referred sales.
• E-commerce stores that need automated reward fulfillment integrated directly into their payment stack.

3. Referral Rock

Referral Rock is one of the few platforms built for various service businesses (agencies, financial advisors, home services, professional services) and supports both customer referral programs and partner/affiliate programs in the same workspace.

Source: referralrock.com

Teams can structure rewards as one-sided, two-sided, tiered, or multi-step (where the referrer earns smaller rewards along the funnel before a full payout on close), which fits how B2B referral economics actually work.

The HubSpot and Salesforce integrations are where the product earns its keep for B2B buyers.

Referrals push into the CRM as leads, and attribution flows through to deals and revenue reporting.

Key features

• Multi-step and tiered referral workflows that match B2B and service-business sales cycles.
• Offline referral tracking via codes, QR mechanisms, or manual entry from the sales team.
• Deep HubSpot, Salesforce, and Pipedrive integrations that push referrals into the CRM as leads.
• Concierge onboarding with a dedicated specialist mapping workflows during setup.
• Combined customer-and-partner program management in a single workspace.

Pricing

Referral Rock offers two plans:

• Professional: $175/month
• Professional+: $350/month

They also offer dedicated packages for e-commerce and enterprise.

You can also get concierge services, such as a done-with-you onboarding for everyone, coming as a $400 one-time fee. 

Integrations

HubSpot, Salesforce, Pipedrive, Zoho, Mailchimp, Stripe, PayPal, Shopify, BigCommerce, WooCommerce, plus Zapier.

Pros

• Versatile across business models. Works for B2B, services, and hybrid models that don’t fit ecommerce or SaaS templates.
• Strong CRM attribution that flows referral data directly into pipeline reporting.
• Hands-on onboarding that helps non-technical teams get programs live.

Cons

• Higher price point for small businesses compared with self-serve tools.
• UI feels less modern than newer platforms, per reviewer feedback on G2 and Capterra.

Best for

• Service businesses (agencies, consultancies, financial advisors, home services) running referral programs alongside their existing sales motion
• B2B companies that want a single tool for both customer referrals and partner referrals
• Mid-market teams that need white-glove onboarding to launch a complex program

4. GrowSurf

GrowSurf is built for product-led SaaS, with embeddable UI components that engineers can drop into an existing application, e.g., in-product referral dashboards, share prompts, and leaderboards.

Source: growsurf.com

That positioning shows up everywhere in the product.

Key features

• Viral coefficient (K-factor) is a primary metric in the analytics dashboard, alongside cohort conversion data.
• Reward logic understands subscription mechanics, so trial extensions, plan upgrades, and feature unlocks can be triggered by referral events without custom code.
• Webhooks fire on every significant moment in the funnel, which lets product teams stitch referrals into the same event stream powering analytics and email automation.
• The trade-off is engineering involvement: GrowSurf requires developer time to integrate, which most no-code platforms in this list don’t.
• GDPR and SOC 2 documentation come standard, which matters for fintech and any B2B SaaS selling into regulated buyers.

Pricing

Paid plans start at $125/month (billed annually) and scale up significantly for higher participant counts. Monthly pricing is also available.

Source: growsurf.com

Some premium features (white-labeling, advanced analytics) are gated to higher-tier plans.

Integrations

Stripe, HubSpot, Salesforce, Segment, Intercom, plus webhook and Zapier support for custom workflows.

Pros

• Clean developer experience with thorough API documentation.
• Strong B2B SaaS fit. The metrics, participant flows, and reward logic all assume a subscription product.
• Compliance posture meets the bar for fintech and other regulated categories.

Cons

• Higher technical lift than no-code platforms. Integration requires developer involvement.
• Premium features cost extra, including removing the “Powered by GrowSurf” branding that competitors include in lower tiers.

Best for

• Product-led SaaS teams building referral into the application UI, not a separate landing page
• Regulated B2B SaaS where SOC 2 and GDPR documentation is a procurement requirement
• Growth teams that need viral coefficient as a tracked metric, not just total referrals

5. Referral Factory

Referral Factory has built a reputation in the no-code corner of the category by treating the campaign editor itself as the product.

The template library runs into the thousands, drag-and-drop covers nearly every element a marketing team would otherwise need a developer to touch, and an AI-assisted generator can produce a fully branded campaign from a short prompt.

Source: referral-factory.com

The standalone-hosted-page model means brands without a developer-accessible CMS, or agencies running programs for multiple clients, can run a referral program without touching their primary website.

Multilingual support across 25+ languages and white-label hosting on higher tiers reinforce the international and agency use cases.

The reward stack covers vouchers, PayPal cash payouts, Stripe credits, digital gift cards, donations, and custom rewards through API and webhook hooks.

The enterprise security posture (GDPR, SOC 2, ISO 27001, optional self-hosting) clears procurement bars that most platforms in this price range can’t.

The trade-off shows up for teams that want referral mechanics deeply embedded inside a product experience: the standalone-page model is a strength for marketing-led launches and a limitation for product-led ones.

Key features

• Thousands of pre-built templates and an AI-powered campaign generator for fast launches.
• Standalone hosted pages that don’t require integration with the primary website.
• Multilingual campaigns across 25+ languages with localized landing pages.
• 200+ reward types including PayPal payouts, gift cards, Stripe credits, and custom payouts.
• Enterprise security posture (GDPR, SOC 2, ISO 27001) with optional on-premise hosting.

Pricing

• Basic: $200/month ($160/mo billed annually)
• Pro: $400/month
• Enterprise: $1,000/month and up

A free trial is available across plans, and annual billing saves 20%.

The Enterprise plan adds SSO, on-premise hosting, custom HTML/email uploads, and dedicated account management.

Integrations

HubSpot, Salesforce, Pipedrive, Intercom, 3,000+ tools via Zapier and Make, plus API, webhooks, and Tremendous for payouts.

Pros

• Easy setup and customization: Reviewers consistently mention how quickly the platform gets a program live, often within days.
• No-code-first approach that suits non-technical teams and agencies running programs for clients.
• Strong compliance posture that satisfies enterprise procurement.

Cons

• Standalone page approach may feel disconnected from a core product experience for teams that want deep in-app referral flows.
• Higher entry price than the bottom of the category for very small programs.

Best for

• Small and mid-market businesses without dedicated engineering resources
• Service companies and agencies running referral programs for themselves or clients
• International programs that need multilingual referral pages out of the box

6. Friendbuy

Friendbuy is built for mid-market and enterprise DTC brands with the referral volume to run meaningful A/B tests on reward structures, creative placement, and behavioral triggers.

Source: friendbuy.com

The testing engine covers reward structures, creative variations, and behavioral triggers, with significance reporting built in.

Key features

• Native A/B testing engine for reward variants, creative placement, and behavioral triggers with significance reporting.
• Behavioral trigger library spanning post-purchase, post-delivery, and post-repeat-purchase moments.
• Bundled loyalty program module for brands consolidating referrals and retention with one vendor.
• Deep Klaviyo, Attentive, and Iterable integrations for lifecycle email and SMS stitching.
• Headless and custom storefront support via a documented API.

Pricing

Friendbuy is quote-only.

Integrations

Shopify, BigCommerce, Salesforce Commerce Cloud, Klaviyo, Iterable, Attentive, Segment, GA4, plus REST API and webhooks.

Pros

• Sophisticated experimentation that scales with program volume.
• Strong analytics depth for cohort and segment analysis.
• Mature lifecycle integration with the standard DTC email and SMS stack.

Cons

• Pricing is gated behind a sales call, which slows down evaluation for teams that prefer self-serve discovery.
• The depth of the testing engine is overkill for stores below mid-six-figure annual referred revenue, where simpler tools deliver more of the value at a fraction of the cost.

Best for

• DTC brands with the referral volume to A/B test program variables
• Klaviyo or Attentive-driven lifecycle programs wanting referral stitched into the same trigger logic
• Ecommerce teams treating referrals as a measured acquisition channel

7. Genius Referrals

Genius Referrals sits at the developer-friendly end of the category.

Agencies running programs for multiple clients can use it as backend infrastructure, and engineering teams can use the API to build in-product referral flows.

Source: geniusreferrals.com

White-label capabilities cover landing pages, advocate dashboards, and email notifications without Genius Referrals branding.

Key features

• API-first engine with thorough documentation for engineering-led builds.
• Full white-label experience across landing pages, dashboards, and notifications.
• Multi-program account structure that fits agency and multi-brand use cases.
• 200+ reward types with automation via Tremendous, Zapier, Make, and webhooks.
• Real-time program ROI analytics with custom event tracking.

Pricing

Here’s an overview of Genius Referrals’ pricing plans:

• Starter: $89/month ($63/month billed annually)
• Silver: $199/month
• Gold: $399/month
• Platinum: $799/month
• Custom: Available for enterprise needs

A 14-day free trial is also available, and they offer 20% on annual plans.

Integrations

HubSpot, Salesforce, Mailchimp, Stripe, PayPal, Tremendous, Zapier, Make, plus webhooks and a REST API.

Pros

• Feature-rich and flexible: Reviewers highlight the breadth of customization and program-type support.
• Strong API documentation for teams building custom flows.
• $89/month entry tier that’s lower than most API-first competitors.

Cons

• Steep learning curve that some users find overwhelming without onboarding assistance.
• Higher-tier features locked behind add-ons that increase total cost beyond the headline plan price.

Best for

• Agencies and platforms building custom referral experiences for clients
• Tech companies with engineering resources to build on top of a referral API
• Multi-program businesses managing several distinct referral campaigns simultaneously

8. Referral Hero

Referral Hero focuses on newsletter creators, indie makers, and pre-launch startups, with built-in support for the mechanics common in that audience: leaderboards, milestone-based rewards that unlock at specific referral counts, and share-to-unlock flows.

Source: referralhero.com

SMS-based reward delivery (pay-as-you-go) is a notable touch for newsletter operators who want to push milestone alerts to subscribers without setting up a full SMS marketing stack.

Key features

• Waitlist and pre-launch templates with milestone-unlock mechanics built in.
• Leaderboard view that gamifies the top of the referrer list.
• Standalone landing page builder for creators without a separate site.
• SMS reward delivery on a pay-as-you-go basis for milestone alerts.
• Creator-economy integrations with ConvertKit, Mailchimp, and Beehiiv-friendly Zapier flows.

Pricing

Plans start at $249/month and scale up to $399/month based on subscriber count, with custom enterprise packages available above that.

A free starter tier (up to 25 subscribers with Referral Hero branding) is available for testing the platform.

Integrations

Mailchimp, ConvertKit, Zapier, Stripe, Segment, plus webhook support.

Pros

• Strong fit for the use cases it targets (waitlists, newsletters, pre-launch campaigns).
• Cleaner, more modern UI than older platforms in the category.
• Predictable pricing without success fees or per-referral charges.

Cons

• Less robust for post-launch, ongoing referral programs at scale.
• Smaller integration footprint than enterprise-focused tools.

Best for

• Newsletter operators and content publishers running referral programs to grow subscribers
• Pre-launch startups capturing waitlist demand before a product opens up
• Creators who want a narrower, simpler tool

How to Choose the Right Customer Referral Software

The questions below are worth asking before shortlisting.

What is the primary use case?

The single biggest filter, since the shape of the program drives every downstream decision. For a customer-to-customer referral program inside a subscription product, the shortlist is GrowSurf, or Viral Loops. For brands building structured advocacy programs around brand ambassadors and high-volume sharers, Friendbuy carries the deepest segmentation. For post-purchase referrals at a DTC brand, the shortlist is ReferralCandy, Friendbuy, or InviteReferrals. For a pre-launch waitlist or newsletter referral program, Viral Loops or Referral Hero. For a partner-and-customer hybrid program in a service business, Referral Rock For agencies running multiple programs or building custom referral experiences, Genius Referrals or Referral Factory. This question alone will eliminate six or seven tools.

Do you need no-code setup or API-first flexibility?

Most marketing teams don’t have engineering bandwidth to spare. For those teams, the priority is referral software with mature no-code installation (Viral Loops, Referral Factory, ReferralCandy) and a templated campaign builder. For teams with dedicated product engineering that want referral logic embedded inside their application, GrowSurf, or Genius Referrals are stronger fits.

What integrations do you need?

Make a short list of must-have integrations: CRM (HubSpot, Salesforce, Pipedrive), ecommerce platform (Shopify, BigCommerce, Magento), email tool (Klaviyo, Mailchimp, ConvertKit), payment processor (Stripe, Paddle, PayPal), and analytics stack (GA4, Mixpanel, Segment). Disqualify any tool that requires a Zapier workaround for an integration used daily.

What reward types do you need?

Cash payouts via Stripe Connect or PayPal?

Gift cards through Tremendous, Tango, or Giftbit?

Store credit native to Shopify?

Account credits inside a SaaS product?

Custom physical rewards?

Reward fulfillment is where most referral programs leak operational time, and the right platform should automate it end-to-end and integrate cleanly with the marketing channels teams already use.

Teams that pick tools based on a feature checklist and then spend ten hours a week manually issuing PayPal payouts have made the wrong choice.

What’s your total budget, including reward costs?

Software subscription is usually the smaller piece. A double-sided $20 reward paid across 500 monthly referrals comes to $20,000 monthly on rewards alone, which is multiples of what any platform on this list charges in software fees. Build a total program cost model before signing anything: software fees plus reward fulfillment plus internal management time.

Wrapping up

Most referral marketing software evaluations get stuck in the same place: trying to find the platform that wins on every dimension.

That platform doesn’t exist.

The buyers who launch fastest usually decide which one or two dimensions matter most for their business (no-code speed, in-product integration, multi-program scale, fraud control, total cost) and let those choices eliminate the rest.

Two practical moves shorten the timeline.

The first is to shortlist two platforms, not five. Three or more trials in parallel rarely get a fair test, and the comparison fatigue tends to defer the actual launch by weeks.

The second is to pick a real campaign goal before opening the trial: a refer-a-friend flow, a waitlist, a milestone newsletter program, or a post-purchase prompt.

Configuring the same campaign across two platforms makes the trade-offs visible faster than reading feature lists ever does.

Trials reveal setup speed, integration depth, and dashboard usability.

They don’t reveal fraud resilience, support quality once a program scales, or how the platform handles edge-case payouts at volume.

For higher-stakes programs, ask each vendor for a reference call with a customer running a similar use case before signing an annual contract.

And so, for the vast majority of marketers, the question in 2026 is not what new piece of software to buy, but what pieces of software you’re already paying for are still essential to your business, and what categories of software you’re currently missing in your stack.

This article presents a curated, opinionated, category-by-category shortlist of the 19 B2B marketing software tools that I see modern B2B marketing teams deriving the most value from, along with honest pricing, and honest notes on when they’re a bad fit for your team.

I am not associated with any of the software tools listed below, and I’ve personally used or evaluated each on this list, in the context of running a B2B marketing function.

How I picked the tools in this list

Three filters had to clear before a tool made the cut.

1) The tool is in active use in at least one B2B marketing team I work with right now.

2) Pricing is at least partially public on the website. If it is “contact sales only,” it had to either be a true enterprise category (Marketo, Eloqua) where opacity is unavoidable, or it had to provide a realistic starting figure on request.

3) The tool integrates with at least three other tools in a typical B2B stack, CRM, marketing automation, and analytics at the minimum.

Anything below a 4-star average on G2 was discarded. So were any tools that only solve a B2C-shaped problem. That removed a long list of social-first or e-commerce-shaped tools that show up in generic “marketing software” lists.

The 19 tools below are grouped by job-to-be-done. Most B2B marketing leaders I talk to think in categories (“we need a better ABM tool” or “our enablement is broken”), not in vendor names, so the structure reflects that.

B2B marketing software at a glance

Before the deep dive, here is the full shortlist across all 11 categories.

What is B2B marketing software?

B2B marketing software is any software a B2B marketing team uses to drive demand generation, lead capture, sales routing, lead nurturing, and measurement of resulting revenue. The scope of the category is wide because the scope of B2B marketing is wide. You would typically expect a B2B stack to include software from at least 11 of these categories in a single setup:

• marketing automation
• account-based marketing
• customer relationship management
• lead enrichment and intent data
• email marketing
• SMS and text marketing
• content marketing and SEO
• analytics and conversion-rate optimization
• video and localization
• sales enablement and lead routing
• internal enablement and learning

What makes B2B so different is that the marketing tools have to be designed to operate as part of the sales motion. In the B2C world the marketing software lives independently. In B2B, marketing tools have to communicate efficiently with the CRM, lead scoring, sales development representative routing, and, increasingly in 2026, attribution of revenue by marketing. A piece of software that operates really well independently but fails to integrate will be almost completely useless in the B2B space.

All 19 tools I chose below pass this test of interoperability with other tools, and the comparison table above summarizes what job each tool is intended to serve.

Top picks: 3 B2B marketing tools to evaluate first

The three tools below are the ones I’d start with for any B2B team auditing or building its marketing stack, each owns a category most lists overlook (video localization, service-based email, modern enablement) and each has the clearest payback in the first six months.

1. Synthesia: Best for localized B2B video and the video translator

Synthesia is the AI video platform I recommend to B2B marketing teams for their multi-region campaigns. And the Synthesia Video Translator is why it earns that spot. It enables you to upload one original video, whether a product demo, customer testimonial, training, or other campaign asset, and immediately translate it into 160+ languages with matching lip-sync, authentic voice and on-screen content branding intact.

This feature allows any multi-region B2B company to go from a multi-vendor 3-6-week video localization workflow into around 1 hour. I’ve seen B2B SaaS marketing teams go from having to hire multiple voice artists and editors to a single Synthesia subscription for all of those use cases.

The Video Translator works well with the rest of Synthesia and the ability to generate entirely new AI avatar content from a script. But in the B2B marketing world, the Video Translator is the only part that really has a clear budget line.

Pros: Speedy multi-language video localization, preserves your original voice (via voice cloning), plus access to the entire suite of Synthesia AI avatar features. 

Cons: It’s a bit enterprise focused which is not necessarily bad

Pricing: $26/month for the Starter tier ($16/month billed annually); enterprise pricing is also available for scaling teams.

2. Constant Contact: Best for service-based B2B and consultancies

I’d argue that if you operate a service-based B2B business, whether an agency, consultancy, fractional advisor or a professional services provider, Constant Contact is the email marketing tool to use. It’s specifically designed around the reality of being a business that sends out email marketing campaigns with no dedicated Marketing Ops. It has straightforward, clean templates, an uncluttered editor, and the marketing automation can be customized without having to read a 500 page manual.

Additionally, it includes SMS marketing, event marketing, and a built-in CRM, which are most of the things a small B2B service team needs, without having to adopt another tool.

Pros: Tailored for non-technical marketers; SMS and events included; excellent deliverability.

Cons: Limited lead scoring or ability to set up complex, multi-channel nurture tracks; not scalable for mid-market B2B companies.

Pricing: Starts at $12/month for the Lite plan; Standard plan is $35/month.

3. 5app: Best modern learning platform for marketing teams

5app serves as a contemporary learning and enablement solution to a problem many marketing teams don’t recognize: you buy the tools, but without the know-how of how to use them, they are worthless. It provides marketers with bite-sized, segmented learning materials, such as tool walkthroughs, playbooks, and mini lessons, in a way that aligns with how they actually learn (in bites of 5-10 minutes at their own pace and time).

I have added 5app to the list in particular due to how much more expensive of a mistake it is to underutilize a marketing automation platform that cost $30,000 per year, versus a learning platform. For mid-sized and large enterprise B2B marketing teams, 5app is the tool that fills the distance between “we bought the tool” and “our team is actually getting value from it.”

Pros: Built for modern workflows of micro-learning; can integrate with your existing tools; quicker time to use than LMS platforms. 

Cons: You have to invest resources to make content from the start. 

Pricing: Custom; deployments for mid-market clients typically begin very high.

Best B2B marketing automation platforms

4. HubSpot Marketing Hub: Best all-in-one for mid-market B2B

If a B2B company has fewer than 200 employees, then HubSpot Marketing Hub is usually the marketing automation platform I recommend to them. The combination of a CRM, marketing email, marketing automation, marketing content, landing pages, and marketing analytics in one tool is what most B2B marketers need to run their business; HubSpot integrates all of those parts together better than the competition.

If a B2B marketer also has an account-based motion, the HubSpot Marketing Hub’s workflow features, lead scoring, and account-based marketing module will likely cover all the functionality they would need from an ABM solution. HubSpot is less ideal as the B2B marketing software of choice at the upper end of enterprise scale; once a team grows to around 50,000 contacts or needs highly custom attribution, many teams will move on to Marketo or Pardot instead.

Pros: Quickest time-to-value, great CRM integration, fair Starter plan prices. 

Cons: Pricing is steep once you exceed the free CRM plan. Marketing Hub Professional starts at $880/month. 

Pricing: Starts at $20 per seat/month on the Starter plan ($15/seat with annual + promotional pricing); Marketing Hub Professional starts at $800/month billed annually ($890/month monthly).

This is also what I am currently using in Cyberbit for most of our marketing activities, automation, and CRM.

Best B2B SMS and text marketing tools

5. SlickText: Best for B2B SMS campaigns and event reminders

SlickText is the B2B SMS marketing platform I see B2B teams adopt when they need to layer text messaging on top of their existing email and marketing automation stack. The typical B2B use cases I have seen work well are webinar and event reminders, VIP customer onboarding sequences, sales-meeting confirmations, and conference-floor lead capture via shortcode opt-ins. SMS open rates run above 90% within the first 15 minutes, which is why even traditionally email-first B2B teams have started using SlickText for time-sensitive moments.

The platform handles compliance (TCPA, opt-in management), MMS, automation flows, and integrations with the major B2B marketing platforms including HubSpot and Salesforce. For a B2B marketing team that wants SMS as a campaign channel without building it inside their marketing automation tool, SlickText is the right standalone pick.

Pros: Strong compliance and opt-in handling; clean integrations with HubSpot and Salesforce; MMS supported.
Cons: US-focused, international SMS coverage is thinner than dedicated global platforms; per-message pricing scales quickly for high-volume campaigns.
Pricing: Starts at $29/month for the basic tier.

Best B2B enterprise marketing automation

6. Adobe Marketo Engage: Best enterprise B2B nurturing

Marketo Engage is the B2B marketing automation platform most Fortune 500 B2B marketers eventually go with for this reason. It is excellent for multi-stage lead nurturing, sophisticated lead scoring, and integration with Adobe Experience Cloud or Salesforce CRM.

If a B2B organization has a long sales cycle (6+ months), they’ll likely need to nurture their buyers with a combination of email, paid media, web personalization, and webinars; Marketo is the best option for executing all of those efforts at the enterprise scale.

Pros: Excellent scoring and nurturing, excellent integration with Adobe tools.
Cons: Long implementation (typically 3-6 months), high learning curve, unclear pricing models. Pricing: Starts around $1,250/month on the most basic plan, but typical mid-market deployments cost between $3,000-$5,000/month.

7. Salesforce Marketing Cloud Account Engagement: Best Salesforce-native automation

Formerly known as Pardot, Salesforce Marketing Cloud Account Engagement is the default B2B marketing tool of choice for any organization with Salesforce as their customer database of record. It includes mature lead scoring, lead grading, and nurturing workflows and integrates natively with Salesforce, so there’s never a concern that data syncs incorrectly.

I typically see Account Engagement at B2B SaaS companies with 50+ SDRs and AEs, where the sales and marketing teams have already adopted Salesforce.

Pros: Perfectly built for Salesforce; data is in sync automatically. 

Cons: Clunky user interface versus HubSpot and Marketo, difficult reporting unless you use Tableau CRM or pull the data manually. 

Pricing: Starts at $1,500/month for the Marketing Cloud Next Growth Edition, and scales up to $3,250/month on the Advanced Edition (top tier reaches $8,000/month).

Salesforce is for the “big boys” in tools, another tool I am currently using but requires a ton of maintenance and big budgets for a rev-ops team to customize and maintain.

Best account-based marketing software

8. 6sense: Best enterprise ABM with predictive intent

6sense uses predictive analytics alongside intent data to let your marketing and sales teams know which accounts are currently in the market. It aggregates signals from third-party intent providers, your website’s visitors, and your first-party data, giving an account level score indicating what stage of the buying cycle an account is in. In 2026, 6sense offers useful agentic AI features that help progress accounts through orchestration playbooks, rather than being demo-ware.

Pros: predictive intent at best-in-class; Agentic AI features that do what they are supposed to. Cons: pricing designed for enterprises; long, complex implementation; might be overkill for B2B companies with under 100 employees 

Pricing: Custom; for mid-market, realistically around $60k/year

9. Demandbase: Best ABM with built-in advertising

Demandbase is a key competitor to 6sense on the intent data front, and distinguishes itself with a built-in account based ads platform. If your ABM process is heavily dependent on retargeting and account based paid media, Demandbase is likely more suited to your needs. Its platform also offers website personalization based on the visiting accounts, providing a different homepage experience for the accounts on a target list versus non-target accounts, a feature that B2B teams find very useful.

For mid-market B2B companies, I’ve seen Demandbase used successfully to consolidate three different platforms into one purchase (ABM platform, account based ads, personalization), which often makes the cost work, despite the enterprise pricing.

Pros: account based ads built into platform; strong intent dataset; good Salesforce integrations; website personalization built in 

Cons: challenging to learn; first year of onboarding requires significant investment 

Pricing: Custom; $50-$120k/year depending on how many accounts are in the system

10. Terminus: Best mid-market ABM orchestration

Terminus is the third major ABM platform, better suited for mid-market B2B companies ($10M-$100M ARR) who find Demandbase and 6sense overkill. It features a solid orchestration engine and useful chat based account engagement functionality. Terminus also has a more reasonable price point than the two enterprise ABM solutions mentioned above. In addition, Terminus includes built in account based email and direct mail capabilities, enabling you to run multichannel ABM from a single platform without relying on 3 vendors.

For mid-market B2B organizations prepared to do ABM, but unwilling to pay enterprise level costs, Terminus is a good place to start.

Pros: reasonable price; flexible orchestration; multiple channels for ABM in one platform. 

Cons: smaller 3rd party intent data than 6sense; less ecosystem support 

Pricing: Custom; $30-$60k/year for mid-market

Best CRM and revenue ops tooling

11. HubSpot CRM: Best free B2B CRM

Best free B2B CRM

HubSpot CRM remains the free CRM that pretty much every small or growing B2B team begins with. It has unlimited users, up to 1 million contacts, and all the deal pipeline functionality necessary to run a real sales motion. It integrates natively with HubSpot Marketing Hub if you go up the stack, and Salesforce if you don’t.

Pros: Free forever CRM; unlimited users on free tier

Cons: Reporting maxes out quickly; custom objects, advanced workflows are paywalled

Pricing: Free. Sales Hub paid seats begin at €49 per seat per month.

12. Salesforce Sales Cloud: Best enterprise B2B CRM

Best enterprise B2B CRM

Salesforce Sales Cloud is still the enterprise B2B CRM, and pretty much every B2B company with more than 200 employees eventually settles on it. The deep customization options, the vast AppExchange ecosystem, and bidirectional integrations with all the major marketing automation tools are the reasons most B2B companies don’t move off it once they’re on it.

Pros: Deepest customization in this category; mature integrations

Cons: Expensive; implementation requires either in-house Salesforce admin or a consultancy

Pricing: $25 per user per month for Starter Suite, $175 per user per month for Enterprise

13. Clearbit (by HubSpot): Best B2B lead enrichment

Best B2B lead enrichment

Clearbit is the lead enrichment tool that takes your email address and makes it into a complete B2B contact and account record. Name, company, employee count, tech stack, revenue range, all auto-populated and sent to your CRM. Since HubSpot bought the tool, the integration between Clearbit and HubSpot Marketing Hub has improved significantly.

Pros: Best enrichment data quality in this category; reveals anonymous website visitors

Cons: Pricing has become less transparent since HubSpot bought the company; data freshness varies by industry

Pricing: From $99 per month. Enterprise deployment quickly scales to $1,000+ per month.

Best content marketing and SEO tools

14. Semrush: Best all-in-one SEO platform

Semrush is the SEO tool that I turn to whenever a B2B marketing team needs robust SEO research, combined with paid search and content workflows, all within one interface. The Position Tracking dashboard, Content Marketing Toolkit, and competitor research functionality all offer real value for B2B, where the majority of your competitors are competing for the same paid and organic keywords that you are.

Pros: One platform delivers SEO, paid, content, and competitor research. 

Cons: Densely packed UI; a few weeks are required for most people to become familiar with the tool. 

Pricing: $139/month for the Pro version.

15. BuzzSumo: Best content research and influencer discovery

BuzzSumo is the content research tool that I consistently observe B2B content teams using for trending topics, content gap analysis, and influencer discovery. The product is especially powerful for B2B content marketers running thought leadership campaigns to learn what already is performing well in their space. The content discovery function allows you to see what the most-shared articles, podcasts, and videos are on any subject, making it the single fastest way to develop a content brief anchored to what the audience has shown to care about.

Its influencer database also is very strong for B2B partnership-driven marketing, since an ideal podcast guest or LinkedIn thought leader could have a larger impact than paid media.

Pros: Leading content discovery; B2B-specific influencer database; podcast and video discovery built in. 

Cons: Pricey given the feature set; reporting could be more in-depth. 

Pricing: $199/month for the Content Creation version.

Best B2B analytics and CRO tools

16. Google Analytics 4: Best free B2B analytics

Google Analytics 4 is the free B2B default and the basis for most B2B marketing analytics stacks. The learning curve is steeper than the last version, but the data quality and BigQuery export at this price point are hard to beat. Add Google Search Console for organic search performance, and you have most of the B2B web data you need.

Pros: Free forever; BigQuery export lets you get every last data point.

Cons: Steep learning curve; cross-domain B2B journeys are still tricky to model.

Pricing: Free; GA4 360 (enterprise) starts at $50,000 per year.

GA4 is probably the standard of marketing analytics, while not the best option, it’s the best free option and a no-brainer to start with.

17. Hotjar: Best qualitative B2B analytics

Hotjar adds qualitative data into B2B analytics stacks that are heavily quantitative. Its heatmap, scroll map, session recording, and on-page surveys answer the “whys” GA4 doesn’t, for example: Why did our pricing page conversion rate fall 30% last week? For B2B marketing teams trying to optimize long, deliberate buyer journeys, session replay is what separates guessing why a high-intent demo prospect bounced from watching them get hung up on a specific form field.

That’s how I use Hotjar the most, in situations where a B2B sales and marketing funnel’s conversion rate plummets, and the data doesn’t make sense.

Pros: Industry-leading qualitative analytics; free tier actually works; session replay is one of the most valuable things in any B2B sales or marketing team’s tool stack.

Cons: Mid-tier pricing levels can get pricey for high-traffic B2B sites.

Pricing: Free for basic use; paid plans start at €39/month (Growth, billed annually), under the Contentsquare platform.

Best video and async communication tools

18. Loom: Best for quick async screen recordings

I find Loom most often being used by B2B marketing & sales people for everything from demo recordings, async product demos, prospect video outreach to internal updates. It’s not the most polished, professional-looking video tool out there. Loom videos are more raw and unpolished than a full video production would be, but Loom is the right tool for the jobs B2B marketers and salespeople actually have, where the need for speed, async-ness & personalization is the driving force.

Pros: The fastest async video workflow in its class; the free tier is sufficient for most individual use cases. 

Cons: Don’t choose this for client-facing videos, you’ll need to edit or polish them first. 

Pricing: Free for individuals; $18/user/month for business tiers.

Best sales-enablement and lead-routing tools

19. Chili Piper: Best inbound lead routing for B2B

Chili Piper addresses a particular B2B scenario: what happens to high-purchase-intent leads in the exact moment they fill out a demo request form on your site? Chili Piper doesn’t let leads fall into the ‘we will reach out to you later’ void. Instead, it qualifies the lead using logic-based rules, distributes them to the best SDR/AE for their territory or niche, and then books a meeting with them in real time on a live calendar. For any inbound-focused B2B team, the conversion lift from just this one lead routing workflow can be as high as 20-40%.

Pros: Eliminates the largest leak in any inbound B2B funnel; deep integrations with CRMs. Cons: Pricing assumes you already have an SDR or AE team available to do the routing. Pricing: Chili Piper moved to a seat-bundle model, Routing & Scheduling starts at $15,000/year (15 seats included), with additional seats at $45/seat/month. The standalone ChiliCal scheduler is $12/user/month with a 200-seat minimum.

How to pick the right B2B marketing software

Three rules cover 90% of B2B software-buying decisions I’ve seen.

First, integration depth wins out over feature depth. A B2B marketing tool that has 80% of the features and integrates perfectly with your CRM, your SDR workflow, and your analytics will outperform a 100% feature-rich tool that needs custom middleware. Marketing automation, ABM tools, and CRM are particularly sensitive to this rule.

Second, real-world pricing beats list pricing. Every B2B vendor will quote you a list price. The price that matters is the second-year jump, after the discount expires, after you’ve added seats, after you’ve crossed a contact threshold. Ask every vendor to model your year-2 cost based on realistic usage, not optimistic projections. Marketing automation and ABM pricing in particular get punishing in year 2.

Third, the buyer must be the user. The most expensive B2B software mistakes I see are when the VP of Marketing or the CMO buys a tool the actual marketing operations team will never adopt. Have the marketer who will run the tool day-to-day lead the evaluation. This applies especially to marketing automation, ABM, and CRM purchases.

Common mistakes B2B teams make when buying marketing software

The biggest cost in B2B marketing software mistakes isn’t the tool, it’s the structure.

1. Purchasing two products to address the same work. I’ve seen three attribution products in one stack, all at odds with one another. Or two Account Based Marketing software in a stack that confuse marketing and sales teams alike.

2. Buying more seats than they’re used. B2B marketing automation pricing is seat based. Review your seat count quarterly. In the majority of companies, 20 to 30 percent of paid seats won’t be used within 12 months.

3. Signing the annual agreement without testing it out first. Any B2B company you work with will ask you to sign the annual agreement right away. Get a 90 day test out with any software, especially marketing automation and ABM, and ask the vendor for a pilot before you sign the annual.

4. Doing a mid quarter software migration. Migrations in a marketing automation stack should take three to six months, depending on the size of your company. Never attempt to move from one software to the next unless you have a migration budget, as well as the means to keep running your software while it’s migrating.

5. Not getting staff trained. Everyone assumes that buying the software means people will use it. They don’t understand how to. This is why 5app is here for you.

Time to upgrade your B2B marketing stack?

The best B2B marketing software stack in 2026 isn’t the one with the most tools or the most agentic AI features. It is the one where each tool earns its line item against a real B2B job-to-be-done, where pricing scales sustainably, and where your marketing team actually adopts every tool you bought.

Pick the categories where you have a real gap. Pilot before you commit. Audit the stack quarterly. And put as much investment into enablement as you do into the software itself, the cost of an unused tool is always higher than the cost of the tool itself.

FAQs

What’s the difference between B2B marketing software and B2B marketing automation?

B2B marketing software is the broad category, it covers every tool a B2B marketing team uses, from CRM to email to video to analytics. B2B marketing automation is a specific subcategory inside that, focused on email nurturing, lead scoring, and workflow automation. HubSpot Marketing Hub, Marketo, and Pardot are marketing automation platforms. Synthesia, Hotjar, and 6sense are B2B marketing software but not marketing automation.

Which B2B marketing tools are worth it for a small B2B team of 1-10 marketers?

A typical small B2B team gets the most value from: HubSpot Marketing Hub Starter (covers CRM + marketing automation + email + landing pages), Constant Contact (if email-led), Google Analytics 4 (free), Hotjar (free tier), Loom (free tier), and Semrush if SEO is a priority. That stack costs under $300/month total and covers 80% of what a small B2B team needs.

What’s the typical cost of a full B2B marketing software stack?

For a mid-market B2B company (50-200 employees), a typical fully-loaded marketing software stack runs $8,000-$25,000 per month. The biggest line items are marketing automation ($2,000-$5,000/mo), ABM ($3,000-$10,000/mo), and CRM ($25-$165 per user per month). Enterprise B2B stacks easily run $50,000+ per month.

Can HubSpot or Salesforce alone replace a full B2B marketing stack?

HubSpot’s Professional and Enterprise tiers cover most of marketing automation, CRM, content, and reporting, but they will not replace your ABM tool, your enrichment tool, your video tools, or your enablement platform. Salesforce alone is the same, strong CRM, weak on actual marketing execution without Marketing Cloud Account Engagement layered on top. You should expect to run 8-12 tools regardless of which all-in-one anchor you pick.

What B2B marketing tools have actually shipped agentic AI in 2026 (vs demo-ware)?

The shortlist of B2B marketing tools where I’ve seen agentic AI features actually working in production (not just on a sales demo) is small: 6sense’s agentic orchestration, HubSpot’s Breeze agents, and Salesforce’s Agentforce for marketing. Many other vendors are claiming agentic features but the production-ready set is still narrow.

How do you measure ROI on B2B marketing software?

The two metrics that matter for B2B marketing software ROI are pipeline sourced per dollar of software spend and time-to-value from contract signature. If a tool costs $30,000/year and sources less than $300,000 of qualified pipeline in year 1, it is probably not earning its place. Tracking this requires a clean CRM, multi-touch attribution, and an honest accounting of soft savings (analyst time, operational efficiency) on top of the pipeline number.

You have poured your heart and soul into it and made sure it covers every possible pain point your customers could have. And they seem to appreciate it. 

Yet, despite loving your product, your customers do not refer others to it. 

What’s the reason?

See, happy customers rarely share their favorites naturally. 

They usually need some kind of an incentive, a prompt to start acting. 

The right customer referral software could give them exactly that.

That’s why, for this article, we’ve aggregated the list of the ten best customer referral software companies. 

Let’s start with their overview. 

Disclaimer: The information on these platforms is valid as of May 2026. Software offerings, pricing, and features change; verify current details directly with each vendor before making a decision.

Now, let’s review each platform in detail.

1. Viral Loops

Viral Loops is a referral program software tool that enables businesses and startups to build referral campaigns modeled after proven frameworks from companies like Dropbox and Uber. 

Each pre-built template includes a setup wizard that guides users through configuration, which makes the platform a strong fit for marketing teams that want to launch without writing custom code or waiting on engineering bandwidth.

Source: viral-loops.com

The platform lets teams launch referral campaigns DIY-style or with the help of a marketing expert to design and execute programs from scratch.

It’s purpose-built for customer referral programs, with native Stripe integration for automated reward fulfillment and an official partnership with Tremendous for gift card distribution.

Once campaigns go live, teams can monitor them in real time, tracking performance by channel, shares, rewards, and status.

Active customer support is a recurring theme in user reviews: quick responses, useful guidance, and custom feature development based on customer needs.

Source: g2.com

Now, let’s review the capabilities of this platform. 

Key features

• Implementation flexibility. Teams can launch a referral campaign using templates, embeddable widgets, landing pages, and APIs that integrate with their existing tech stack.
• AI-powered no-code campaign installer. Simplifies referral campaign deployment, custom form integration, and platform-agnostic widgets.
• Hands-on customer support. Rapid response times and strategic campaign guidance from the Viral Loops team.
• Landing page builder. A built-in page builder for hosting referral campaigns without writing a single line of code.

Pricing

Viral Loops offers the following yearly tiered plans based on campaign participants and business size:

• Start-up: $35/month
• Plus: $99/month
• Growing: $159/month
• Power: $279/month

If billed monthly, the price changes:

• Startup: $49/month
• Plus: $139/month
• Growing: $229/month
• Power: $399/month

Enterprise plans, concierge services, and custom feature development are available on demand.

A 14-day free trial is available (capped at 10 participants); when the trial ends, existing campaigns continue to receive submissions, but new campaigns can’t be created until a paid plan is selected.

Integrations

Stripe and Tremendous for rewards fulfillment, HubSpot for CRM sync, Mailchimp for email marketing, and Mixpanel for behavioral analytics, among other popular tools.

Pros (from real reviews on G2 and Capterra)

• Exceptional customer service: “When I did encounter a challenge […] the Viral Loops team jumped on it […] and did a thorough job investigating and getting it sorted. That alone has made me want to stay with them.”
• Powerful product with time-saving features: “The platform provides pre-built templates for different use cases, […] which save a lot of time. The integration with tools like Shopify and email marketing platforms is seamless, and the analytics dashboard is intuitive, helping us track campaign performance in real time.”
• Simple interface: “What I like best about Viral Loops is how easy it makes creating referral and viral marketing campaigns. The setup process is straightforward, and the automation helps grow audiences and engagement.”

Cons

• Limited customization freedom: Customization options can be limited, and setting up advanced campaigns often requires extra effort or indirect integrations.
• Restricted multilingual customization: Editing campaigns in non-English languages without support can be problematic, with some users reporting language switching between campaigns.

Best for

• Startups and tech companies
• Fintech companies
• E-commerce businesses
• Newsletter creators and content publishers
• Customer referral programs

The review of Eddie Shleyner, newsletter creator and founder of VeryGoodCopy, on Viral Loops homepage captured the customer-support side of the platform:

“Viral Loops goes above and beyond at every stage of the process. From setup to launch and everything that comes after, I was amazed by their dedication and thoughtfulness. This group truly cares about their customers, and it shows.”

2. ReferralCandy

ReferralCandy has been around since 2012 and is one of the most established referral platforms purpose-built for e-commerce.

It’s especially strong inside the Shopify ecosystem, with one-click setup, automated reward fulfillment, and an interface designed around the way online stores actually run their referral programs: post-purchase popups, embedded widgets, and automated invitation emails.

Source: referralcandy.com

The pricing model is what stands out.

Instead of charging by participant count, the lower tiers charge a flat monthly fee plus a success fee on referred sales.

That can be a strong fit for stores still validating the channel (paying more only when referrals actually drive revenue) and a less attractive option for stores running a high-volume program where the success fee compounds.

Key features

• On-site signup widgets that embed referral invitations into product pages, post-purchase flows, and account pages.
• FlexiTiers reward system that incentivizes higher-volume referrers with escalating rewards.
• Automated reward fulfillment for cash payouts, store credit, and discount coupons.
• Built-in fraud detection that flags suspicious referral patterns for manual review.

Pricing

Here’s an overview of ReferralCandy’s plans: 

• Basic: $39/month + 10.5% success fee
• Grow: $79/month + 3.5% success fee
• Scale: $249/month + 1.5% success fee
• Enterprise: $799/month + 0.25% success fee

A 7-day free trial is available.

Note: pricing has shifted multiple times in the last 18 months; verify current rates on referralcandy.com before committing.

Integrations

Shopify, WooCommerce, BigCommerce, Magento, Recharge, Klaviyo, Mailchimp, Google Ads, and Meta Ads.

Pros

• Easy setup: Retail brands consistently flag how user-friendly the setup is for non-technical teams.
• Responsive support: Users highlight quick response times when issues come up.
• Solid analytics dashboard that surfaces referral revenue, share counts, and reward fulfillment at a glance.

Cons

• Performance lag inside Shopify: Some users report that the app can slow down the Shopify admin, particularly when the platform is pinned to the dropdown menu.
• Limited theme and email customization: Granular control over email templates and notification logic is more restricted than on developer-first platforms.

Best for

• Shopify and BigCommerce merchants who want a referral channel without engineering involvement.
• DTC brands testing referral marketing for the first time and willing to pay a success fee on referred sales.
• E-commerce stores that need automated reward fulfillment integrated directly into their payment stack.

3. GrowSurf

GrowSurf is built specifically for B2B SaaS, fintech, and other product-led companies that want to run customer referral programs inside their own product rather than on a separate landing page.

The platform is API-first, which means it’s developer-friendly but also requires more engineering involvement than no-code tools like Viral Loops or Referral Factory.

Source: growsurf.com

The viral coefficient tracking is one of the cleaner implementations in the category, and the participant portal is well-suited to SaaS use cases where existing customers need to log in, see their referrals, and track reward progress over time.

Key features

• An embeddable participant portal that users can access inside an existing product UI.
• Viral coefficient (K-factor) tracking as a first-class metric in the analytics dashboard.
• API and webhook architecture for tying referral events to product activity (signups, paid conversions, plan upgrades).
• GDPR and SOC 2 compliance for regulated industries.

Pricing

Paid plans start at $125/month (billed annually) and scale up significantly for higher participant counts. Monthly pricing is also available.

Source: growsurf.com

Some premium features (white-labeling, advanced analytics) are gated to higher-tier plans, which has been a common complaint in reviews.

Integrations

Stripe, HubSpot, Salesforce, Segment, plus webhook and Zapier support for custom workflows.

Pros

• Clean developer experience with good API documentation.
• Strong B2B SaaS fit: the metrics, participant flows, and reward logic all assume a subscription product (according to Capterra).
• Great customer support: always responsive and helpful. 

Cons

• Higher technical lift than no-code platforms. Marketing teams without engineering support often struggle to get past the initial integration.
• Premium features cost extra, including removing the “Powered by GrowSurf” branding, which competitors include in lower tiers.

Best for

• B2B SaaS companies with in-house engineering willing to integrate referral mechanics into the product.
• Fintech and other regulated industries that need SOC 2 and GDPR compliance documentation.
• Companies that care about viral coefficient as a metric, not just total referrals.

4. Referral Rock

Referral Rock is one of the few platforms that works well outside e-commerce and SaaS.

It’s purpose-built for service businesses (agencies, financial advisors, home services, professional services) and supports both customer referral programs and partner/affiliate programs in the same workspace, with offline referral tracking when face-to-face introductions are part of the buying motion.

Source: referralrock.com

The CRM integrations are particularly deep for HubSpot and Salesforce, which makes sense given the audience: services businesses typically run their pipelines through a CRM, and referral attribution has to flow back into the same system to be useful.

Key features

• Dual customer-referral and partner-program support in one workspace.
• Offline referral tracking through manual entry, unique codes, or QR-style mechanisms.
• Deep HubSpot and Salesforce integration for CRM attribution.
• Automated workflow triggers for reward fulfillment, partner approval, and follow-up.

Pricing

Referral Rock offers two plans:

• Professional: $175/month
• Professional+: $350/month

You can also get concierge services, such as a done-with-you onboarding for everyone, coming as a $400 one-time fee. 

Integrations

HubSpot, Salesforce, Pipedrive, Zoho, Mailchimp, Stripe, PayPal, plus Zapier.

Pros

• A personalized dashboard for each member, which helps avoid mixing up tasks between teams. 
• Strong CRM attribution that flows referral data directly into pipeline reporting.
• Solid automation workflows for partner-program use cases.

Cons

• UI feels dated compared to newer platforms.
• A learning curve for advanced features can be steep without guided onboarding.

Best for

• Service businesses (agencies, consultancies, financial advisors, home services) running referral programs alongside their existing sales motion.
• B2B companies that want a single tool for both customer referrals and partner referrals.
• Teams that run their pipeline in HubSpot or Salesforce and need referral attribution inside the CRM.

5. Friendbuy

Friendbuy sits in the mid-market-to-enterprise DTC space, where post-purchase referrals and customer advocacy are a serious acquisition channel, and the team has the volume to justify continuous experimentation.

The A/B testing engine is the differentiator: teams can systematically test reward structures, creative placement, and messaging, then optimize toward whichever combination drives the highest referred revenue.

Source: friendbuy.com

The platform integrates particularly well with Klaviyo, which fits how some modern DTC brands run their lifecycle email programs, and the API depth supports custom integrations into broader marketing stacks.

Key features

• Built-in A/B testing engine for reward variants, creative placement, and program logic.
• Post-purchase referral engine that triggers personalized prompts immediately after checkout.
• Klaviyo and Iterable integrations for lifecycle-stitched referral campaigns.
• API-first architecture that supports headless and custom storefronts.

Pricing

Friendbuy doesn’t list pricing plans on its website. 

However, according to Capterra, the starting price is $249 per month, with a free trial available. 

Integrations

Shopify, BigCommerce, Klaviyo, Iterable, Attentive, Segment, GA4, plus REST API and webhooks.

Pros

• Sophisticated experimentation that scales with program volume.
• Strong analytics depth for cohort and segment analysis.
• Mature lifecycle integration with the standard DTC email and SMS stack.

Cons

• Higher price point that’s hard to justify for stores below mid-six-figure annual referred revenue.
• Widget editor is not intuitive: design changes can only be implemented with Friendbuy customer team’s support. 

Best for

• Mid-market to enterprise DTC brands with enough volume to make A/B testing meaningful.
• E-commerce teams that already run a Klaviyo-led lifecycle program and want referral stitched into the same flows.
• Brands committed to treating referrals as a primary acquisition channel, not a side experiment.

6. Extole

Extole is built for enterprise scale.

The customer base skews toward banks, credit unions, fintech, telecom, and large consumer retail, where compliance, fraud prevention, and personalization at scale matter more than time-to-launch.

ISO 27001 certification, three-tier consumer verification (anonymous, identified, verified), and dedicated customer success managers come standard.

Source: extole.com

The fraud suite is probably the most mature in the category.

Browser and device signals, IP and geolocation intelligence with proxy/VPN detection, velocity checks, and event-based reward triggers all operate together to keep referral farming and synthetic-identity fraud from draining the program.

For a bank running a $50 sign-up bonus across millions of accounts, that infrastructure is the difference between a profitable program and a six-figure quarterly loss.

Key features

• Flow Builder drag-and-drop interface for designing advocate and friend experiences.
• Enterprise-grade fraud detection with multi-layer signal analysis.
• Three-tier consumer verification model (anonymous, identified, verified) for PII protection.
• Cross-channel advocacy experiences spanning web, mobile, in-app, in-store, and social media.
• Open API and SDKs for headless implementations.

Pricing

Extole doesn’t list its prices on the website. 

However, based on the information on Capterra, the starter pricing begins from $2,500 a month. 

Integrations

Adobe Analytics, Braze, Iterable, Klaviyo, Optimove, Salesforce, HubSpot, BigCommerce, Magento, and a deep list of enterprise data and identity platforms.

Pros

• Enterprise security and compliance posture: the availability ofISO 27001 and SOC 2.
• Best-in-class fraud prevention for high-value referral programs.
• Strong managed service component with dedicated CSMs and program strategists.

Cons

• Significant implementation timeline: some features take time to install.
• A learning curve:  some reporting features are harder to master compared to other customer referral software solutions. 

Best for

• Banks, credit unions, fintech, and other regulated financial services running high-value referral programs.
• Enterprise retail and telecom brands managing omnichannel referrals (online plus in-store or in-app).
• Companies that need dedicated customer success and program strategy, not just software.

7. ReferralHero

ReferralHero focuses on a niche that bigger platforms underserve: newsletter creators, content publishers, and startups running pre-launch waitlist campaigns.

The platform is built around leaderboard mechanics, milestone-based rewards, and share-to-unlock flows that work especially well for newsletter growth.

Source: referralhero.com

It’s a more focused product than the broader referral platforms, and the pricing reflects that.

Buyers aren’t paying for enterprise fraud detection or omnichannel orchestration; they’re paying for a clean, well-designed tool that does waitlists and creator-economy referrals well.

Key features

• Waitlist and pre-launch campaign templates with built-in milestone unlocks.
• Leaderboard mechanics that gamify the top of a referrer list.
• Landing page builder for hosting standalone referral campaigns.
• Integrations with creator-economy tools like ConvertKit, Mailchimp, and Beehiiv-friendly Zapier flows.

Pricing

ReferralHero currently offers the following plans:

• Basic: $249/month
• Pro: $399/month
• Pro + Done-for-You Service: custom

Users can also go for a 7-day free trial first to check if this platform is a good fit.

Integrations

Mailchimp, ConvertKit, Zapier, Stripe, Segment, plus webhook support.

Pros

• Strong fit for the use cases it targets: sweepstakes and refer-a-friend and pre-launch campaigns.
• Cleaner, more modern UI compared to older platforms in the category.
• Predictable pricing without success fees or per-referral charges.

Cons

• No integration with Wix, which excludes Wix stores from ReferralHero’s functionalities.
• Backend UX is a bit outdated which can sometimes impact the speed of campaign launch..

Best for

• Newsletter creators and content publishers growing their subscriber base through referrals.
• Startups running pre-launch waitlists to build buzz and capture early demand.
• Indie SaaS builders and creators who want a clean tool that does one thing well.

8. Rewardful

Rewardful is the most opinionated tool on this list.

It’s built almost entirely around Stripe (and Paddle), and for businesses running on Stripe subscriptions, the integration is genuinely two-script-tags-and-you’re-done.

The platform handles affiliate and referral commission logic for free trials, upgrades, downgrades, cancellations, pro-rated changes, and refunds, all of which are notoriously painful to track manually.

Source: rewardful.com

Rewardful is designed for a specific segment (SaaS founders running subscription products through Stripe) and excels there at the expense of broader use cases.

Key features

• Native Stripe and Paddle integration with view-from-Stripe-dashboard reporting.
• Subscription-aware commission logic that handles trials, upgrades, downgrades, and refunds correctly.
• Affiliate program functionality alongside customer referrals.
• Direct page tracking without redirect links or ugly subdomains.

Pricing

Here’s an overview of Rewardful’s pricing plans:

• Starter: $49/month
• Growth: $99/month
• Enterprise: $149+/month

A 14-day free trial is also available. 

Integrations

Stripe (deep), Paddle, plus webhook and Zapier support.

Less integration breadth outside the subscription-billing world.

Pros

• Fast setup for teams already on Stripe.
• Supportive customer service available to users at any time.
• Clean, focused product without bloat.

Cons

• No email blast for affiliates, which means it has to be set up manually. 
• No advanced analytics to provide extensive insights for power users.

Best for

• B2B SaaS founders running their billing through Stripe.
• Indie developers and bootstrapped SaaS who want a referral program live in an afternoon.
• Subscription products where commission logic needs to handle plan changes correctly.

9. Talkable

Talkable is the high-touch end of the enterprise DTC market.

The platform combines software with a dedicated customer success team that ideates, designs, A/B tests, and optimizes campaigns on behalf of the brand.

According to its homepage, the company claims to have prevented over $100M in fraudulent referrals across its customer base, and the fraud suite is mature enough to justify that claim.

Source: talkable.com

This is a true managed-service offering wrapped around a sophisticated software platform.

Brands with the budget that don’t want to staff an in-house referral program manager will find Talkable’s model useful.

Brands that want full control with a leaner team will find the price tag hard to swallow.

Key features

• Managed-service customer success model with dedicated program strategists.
• Built-in A/B testing suite for reward, design, and placement experiments.
• Advanced segmentation for personalized offers across customer audiences.
• SOC 2-certified fraud prevention refined over a decade.

Pricing

Talkable doesn’t have exact pricing on its websites but suggests a plan based on a company’s annual revenue:

Source: talkable.com

To find out more about the pricing, a customer should book a demo call. 

Integrations

Shopify Plus, BigCommerce, Salesforce Commerce Cloud, Klaviyo, Attentive, Segment, plus extensive enterprise data warehouse and CDP integrations.

Pros

• Full managed-service offering that effectively acts as an extension of the brand’s marketing team.
• Mature fraud detection with a decade of pattern data behind it.
• Strong A/B testing and segmentation for ongoing optimization (according to the G2 overview).

Cons

• Significant cost commitment with annual contracts and implementation fees.
• One of the difficult martech solutions, with users sometimes encountering issues with implementation and pricing integration. 

Best for

• Mid-market and enterprise DTC brands that want referral as a managed channel.
• Companies running multiple concurrent campaigns across segments and geographies.
• Teams without dedicated referral marketing headcount who want the program run for them.

10. Mention Me

Mention Me is the most popular referral platform in the European DTC market, and its core differentiator is “Name Share,” a referral mechanic where the referrer doesn’t have to share a link or code at all.

Instead, the referred customer enters the advocate’s name at checkout, and Mention Me matches it through fuzzy logic.

It’s a strange-sounding mechanic that consistently outperforms link-based referrals for offline-influenced purchases: in-store, word-of-mouth, conversations rather than digital sharing.

Source: mention-me.com

The platform is otherwise a strong enterprise DTC tool with deep Shopify Plus integration, a mature fraud suite, and a sophisticated experimentation layer.

The fit is especially good for European brands navigating GDPR-heavy compliance, multi-currency programs, and customer advocacy in conversation-driven categories like fashion and beauty.

Key features

• Name Share referral mechanic for matching referrals without a link or code.
• Advanced segmentation and A/B testing built into the platform.
• Multi-currency and multi-language support for international DTC programs.
• GDPR-first compliance posture for European markets.

Pricing

Clients need to fill out a questionnaire to be contacted by the company’s customer team.

Source: mention-me.com

No other resources list Mention Me’s pricing. 

Integrations

Shopify Plus, BigCommerce, Salesforce Commerce Cloud, Klaviyo, Bloomreach, Ometria, Segment, plus a wide European e-commerce stack.

Pros

• Genuinely differentiated referral mechanic that captures attribution from offline conversations.
• Sharing feature allowing customers to refer to their favorite products in conversations. e.
• Great customer support providing detailed feedback almost immediately. 

Cons

• Not a good fit for subscription-based businesses, with the functionality fitting e-commerce businesses more. 
• Has a steep learning curve, with some features being hard to navigate. 

Best for

• European DTC brands running Shopify Plus or comparable enterprise commerce stacks.
• Companies with significant offline or word-of-mouth attribution they want to capture digitally.
• International programs that need multi-currency and multi-language support out of the box.

How to Choose the Right Customer Referral Software

The questions below are worth asking before shortlisting.

What is the primary use case?

The single biggest filter. For a customer-to-customer referral program inside a subscription product, the shortlist is Viral Loops, GrowSurf, or Rewardful. For post-purchase referrals at a DTC brand, the shortlist is Viral Loops, ReferralCandy, Friendbuy, or Mention Me. For a pre-launch waitlist or a social-media-driven advocacy campaign with influencers, the shortlist is Viral Loops or ReferralHero. For a partner/customer hybrid program in a service business, the shortlist is Referral Rock. This question alone will eliminate six or seven tools.

No-code setup or API-first flexibility?

Most marketing teams don’t have engineering bandwidth to spare. For those teams, the priority is tools with mature no-code installation (Viral Loops, Referral Factory, ReferralCandy) and an AI-powered or templated campaign builder. For teams with dedicated product engineering that want referral logic embedded inside their application, GrowSurf, Rewardful, or Extole’s API-first approach will fit better.

What reward types need support?

Cash payouts via Stripe Connect or PayPal? Gift cards through Tremendous, Tango, or Giftbit? Store credit native to Shopify? Account credits inside a SaaS product? Custom physical rewards? Reward fulfillment is where most referral programs leak operational time, and the right platform should automate it end-to-end. Teams that pick tools based on a feature checklist and then spend ten hours a week manually issuing PayPal payouts have made the wrong choice.

What is the total budget, including reward costs?

Software subscription is usually the smaller piece. A double-sided $20 reward paid out across 500 monthly referrals comes to $20,000 monthly on rewards alone, multiples of what any platform on this list will charge. Build a total program cost model before signing anything: software fees plus reward fulfillment plus internal management time.

What does it cost to run a customer referral program?

Three cost categories matter:

• Software: Anywhere from free (GrowSurf’s free tier, Viral Loops’ 14-day trial) to mid-five figures monthly (Extole, Talkable). For most companies in this category, expect to spend $100 to $1,000 monthly on software.
• Rewards: A typical double-sided reward structure runs $5 to $25 per side, but the total reward spend scales with program volume. Plan for the reward cost to be 3 to 10 times the software cost once the program is performing.
• Operational management: Often underestimated. A well-run referral program needs someone to design campaigns, monitor performance, investigate fraud anomalies, optimize creative, and handle edge-case payouts. Budget for 5 to 20 hours per week of program management time, depending on volume.

The math typically pencils out at a CAC well below paid channels, usually 30% to 60% lower for referred customers, but only if the program is actually well-run. A neglected referral program produces neglected results.

Wrapping up

There is no universally “best” customer referral software. 

The right platform depends on whether the business sells to consumers or businesses, whether it runs on Shopify or Stripe, whether the team has engineering bandwidth, and whether the industry attracts high-value fraud.

For product-led growth, viral mechanics, pre-launch campaigns, and the no-code-or-AI-installer end of the spectrum, Viral Loops is hard to beat, which is why it leads this list. 

For large-scale, compliance-heavy enterprise programs, Extole or Talkable will be the better fit. For Shopify-native DTC referrals, ReferralCandy. For Stripe-native SaaS, Rewardful. For service businesses, Referral Rock.

The easiest way to test fit is to start a free trial on two of the platforms that match the primary use case and walk through a campaign template that mirrors an actual goal, a milestone referral, a waitlist, a leaderboard, or a classic refer-a-friend flow. 

Most teams know within a day whether a platform clicks for their stack and their workflow, or whether one of the alternatives is the better call.

Now it is going away.

Shield is winding down.

Both Google and LinkedIn made it clear that we could not continue operating Shield as it was built. We decided not to fight it.

Since 2018, Shield has helped people understand the work they were doing on LinkedIn. Tens of thousands of creators, writers, founders, and operators used Shield to make sense of their words, their content. That mattered to us. We hope it mattered to you.

To all of you who trusted us, thank you.

Andreas & Alex
Co-founders, Shield

This article covers what happened, what current users need to do this week, and the best Shield alternatives in 2026, with honest pros, cons, and best use cases for each.

Why Is Shield Shutting Down?

The ShieldApp had it’s troubles with LinkedIn and their business page got blocked by the platform.

Their app was pulled from the Chrome Store, and they asked the users to manual download & update it.

The workarounds didn’t seem to work, as a few months layer they are announcing their “winding down”.

This is the same wall that hit Apollo and Seamless.AI. LinkedIn does not want third parties operating on top of its platform.

What Shield Users Should Do First: Export Your Data

Before you evaluate a single replacement: export your data while you still can.

Shield’s whole value was historical depth. Years of post history, engagement trends, audience breakdowns. That context does not exist anywhere else once the tool is gone, and you will not get it back from LinkedIn’s native analytics, which only look backward a limited window.

Pull everything. CSV exports, screenshots of the dashboards that matter, whatever the platform still allows. Do it today, not the week of the deadline.

How to Choose a Shield App Alternative

There is no clean one-to-one replacement, because Shield did one thing extremely well and nothing else. The honest answer depends on the job you actually need done.

Most people conflate three different jobs. Get this right before you pick a tool:

• Measuring your own performance … the actual Shield-shaped hole.
• Acting on buyer signals … finding who is in market, not how your post did.
• Capturing and organizing inputs … the swipe file and the people you track.

Here is every tool we are covering, by job, with pros, cons, and the use case each one actually fits.

The three all-in-one Shield alternatives compared side by side. Pricing verified May 2026.

All three advertise a low entry price that locks the feature most people actually want behind a higher tier, so the table shows both the headline price and the real one.

Pricing changes often. Confirm current plans on each tool’s site before subscribing.

Best Shield Alternatives for LinkedIn Analytics

1. Taplio

The all-in-one play: analytics plus AI writing plus scheduling plus a lead database on the higher tier.

Try Taplio

Pros

• Consolidates Shield plus a separate scheduler into one tool.
• AI content generation speeds up drafting.
• Lead database prospecting on the Pro tier.

Cons

• Analytics are adequate, not a step up. If deep data is why you paid for Shield, this is a downgrade on that axis.
• Some automation features push against LinkedIn’s policies, which carries account risk.
• Pricier than single-purpose tools (starts around $39/month).

Best for: Solo creators and founders who want content, scheduling, and analytics in one place and are not running deep data analysis.

2. AuthoredUp

AuthoredUp is the most common landing spot for ex-Shield users. It does analytics, but the center of gravity is content creation: post editor, formatting, device preview, drafts, hooks, and a template library.

Pros

• Backfills your full historical post data instead of starting from install date.
• Does not collect your LinkedIn cookies, which it positions as a safety advantage.
• Combines measurement and writing in one tool, so you stop tab-switching.
• Works for company pages, not just personal profiles.

Cons

• Analytics are solid but not as deep as Shield’s data slicing.
• You pay partly for writing features even if you only want analytics.

Best for: Creators who post consistently and want one tool to write, format, preview, and measure. Pricing sits around $20/month.

3. Supergrow

Supergrow is the budget all-in-one.

Pros

• Cheapest all-in-one option (around $19/month).
• Voice-learning AI, scheduling, and analytics bundled.

Cons

• Analytics are less granular than Shield.
• AI content quality varies.

Best for: Budget-first creators who cannot justify a standalone analytics subscription and want a full package that is good enough across the board.

Extra Tool: Capturing and Organizing Inputs

The third job nobody mentions until they lose access. Not “how is my content doing,” but “how do I capture and organize the posts and people worth learning from.”

LibrarIn

Full disclosure: I built this one. It is a free Chrome extension that adds a tagging and categorization layer on top of the LinkedIn feed.

Pros

• Completely free. No tiers, no post limits, no category limits.
• Save posts into custom color-coded categories, search by keyword, filter by author.
• People You Follow lets you track specific profiles (competitors, ICPs, key prospects) regardless of what the algorithm surfaces that day.
• Privacy-first: no credentials collected, no browsing history tracked. Full CSV export, no lock-in.
• No scraping and no terms-of-service violation, so it does not share Shield’s structural fragility.

Cons

• No analytics. It does not track impressions, engagement, or follower growth.
• Chrome only.
• It does not replace Shield. It solves the capture problem that sits next to the measurement problem.

Best for: Creators building a swipe file, and marketers running competitive intelligence or ABM-style prospect tracking who cannot rely on the feed to surface the right content.

Frequently Asked Questions

Is Shield (ShieldApp) really shutting down?

Yes. The founders confirmed Shield is winding down, citing that Google and LinkedIn made it clear they could not continue operating it as built.

Will I lose my Shield analytics data?

Eventually, yes. Export everything now: CSV files and screenshots of the dashboards that matter. The historical depth does not exist anywhere else once access is gone.

What is the closest replacement for Shield?

For a pure dashboard, Inlytics or LinkedIn’s native analytics. For analytics plus a writing workflow, AuthoredUp is the most common switch.

Is there a free Shield alternative?

Yes. LinkedIn’s native analytics and Inlytics’ free tier cover the basics. LibrarIn is free for the separate job of capturing and organizing posts and people.

We researched and analyzed the agencies claiming this space. We looked at what their capabilities actually entail, what services they’re built around, and whether their pitch holds up under scrutiny. 

What follows is an editorially independent evaluation of eight agencies worth considering, alongside a practical framework for deciding which model fits your situation.

Here’s a table to orient you before diving into the full profiles:

Disclaimer: The information on these agencies is valid as of May 2026. Agency offerings, pricing, and focus areas change; verify current details directly with each vendor before making a decision.

Now, let’s review each agency in detail.

1. Minuttia

Minuttia is a B2B SaaS-focused agency that combines Google and AI search strategy with human and AI content creation, digital PR, and agent analytics. 

Since its founding in 2020, the agency has shifted its positioning from traditional content and SEO to what it now calls an ‘adaptive content marketing’ approach, integrating AI tools into research and production workflows while keeping subject-matter expert involvement in content to ensure high quality.

Source: minuttia.com

What distinguishes Minuttia’s model from pure AI content agencies is the layering. 

AI handles repetitive research tasks, internal linking opportunities, content briefing, and other assisted workflows, but human experts drive the strategic decisions and review outputs for accuracy and depth. 

For companies selling complex B2B products, where E-E-A-T plays a defining role, and generic AI output can actively harm rankings, such an approach truly matters. 

Let’s see how it all translates into services.

Services

• Google & AI Search Strategy
• Human Content Creation
• AI Content Creation
• Digital PR
• Agent Analytics and Reporting

Who is Minuttia for?

Minuttia works best for B2B SaaS and technology companies that need organic growth tied to revenue outcomes, not traffic volume. 

It’s a strong fit for companies with complex products or long sales cycles, where shallow AI content would create more problems than it solves.

Minimum project size: $4,000/month (per Clutch and third-party review sources). Contact for a custom scope at minuttia.com/lets-talk.

2. NoGood

NoGood is a New York-based growth agency working with VC-backed startups, scale-ups, and category-defining brands.

The agency was founded in 2017 as a remote micro-team and has progressively moved upmarket. Its current positioning centers on AI-powered growth across SEO, AEO, paid media, content, and analytics.

Source: nogood.io

NoGood’s AI integration is most visible in its analytics and creative testing layers, where the agency uses LLMs and proprietary models for audience analysis, creative iteration, and channel-mix decisions. 

These tech capabilities define the scope of services this agency offers.

Services

• AEO and SEO
• Paid search and paid social
• Content marketing
• Performance branding and lifecycle marketing
• Marketing analytics

Who is NoGood for?

NoGood works best for post–Series A startups and established brands that want measurable, multi-channel growth and have the internal operations to absorb it. It’s less suited for companies looking for a specialist content shop or a low-budget engagement.

Minimum project size: Undisclosed on Clutch. Third-party directories cite a directional minimum of $50,000+ for full retainers, consistent with the agency’s positioning toward VC-backed scale-ups and Fortune 500 brands.

3. Embarque

Embarque is a content-led SEO agency positioning itself around SaaS and tech companies. 

The agency has been vocal about integrating AI into its production workflow, specifically for content brief generation, topic clustering, and initial draft creation with human editing applied at the review stage.

Source: embarque.io

Embarque has published documentation on its AI-assisted content process, which gives it above-average transparency compared to agencies that invoke AI vaguely in their positioning. 

For companies evaluating agencies on process visibility, this matters.

Services

• SEO strategy and content planning
• AI-assisted content creation
• Link building
• Technical SEO audits

Who is Embarque for?

Startups and mid-market SaaS companies looking for a cost-effective entry point into SEO with transparent AI workflows. A reasonable choice for companies that want AI efficiency without sacrificing editorial oversight.

Minimum project size: From $1,499/month (per agency website). Enterprise plans with full-funnel analytics start at $5,999/month. Clutch reviewers highlight competitive pricing relative to comparable agencies.

4. Powered by Search

Powered by Search is a B2B SaaS-focused agency that combines SEO, paid media, demand generation strategy, and RevOps under one roof.

Founded in 2009 in Toronto, the agency has built its reputation around connecting search to pipeline rather than just rankings. 

Its positioning is explicit. It works only with B2B software and technology companies and organizes services around demand generation outcomes rather than channel-level deliverables.

Source: poweredbysearch.com

What separates Powered by Search from a pure SEO retainer is the integration. 

The agency’s frameworks, including its Authority Architecture for SaaS websites and its 80/20 demand generation playbook, assume that organic search, paid acquisition, content, and CRM/RevOps hygiene need to operate as one system. 

For B2B SaaS teams running multi-stakeholder buying committees and six- to 12-month sales cycles, that integration does more for pipeline than channel optimization in isolation.

Services

• SEO strategy and implementation
• Paid media (Google Ads, LinkedIn Ads, Meta)
• Demand generation strategy
• Conversion rate optimization
• RevOps and HubSpot consulting
• Digital PR and content promotion

Who is Powered by Search for?

B2B SaaS and technology companies, particularly those past initial product-market fit with established sales motions, need search and paid search working together inside a demand generation system. Less suited for pre-PMF startups or companies seeking pure content production.

Minimum project size: Per the Powered by Search pricing page, retainers start at $5,000/month for SaaS startups. Pilot engagements include a $2,500 Power Hour and a $14,900 pipeline audit, with the audit fee credited toward a retainer if upgraded within 30 days.

5. iPullRank

iPullRank is a technical SEO and content agency with a well-established reputation in the SEO community. 

The agency’s founder, Mike King, has been one of the more rigorous public voices on AI in search, publishing research on how large language models interact with web content and what that means for SEO strategy.

Source: ipullrank.com

What sets iPullRank apart from agencies wearing AI as a marketing label is the depth of understanding as to how AI operates. 

The agency has published technical research on LLM crawling behavior, content representation in AI training data, and structured data for AI discoverability, areas that most agencies treat superficially. 

Deep technical knowledge undoubtedly informs the services iPullRank offers. 

Services

• Technical SEO
• Content strategy and production
• AI and LLM search optimization
• SEO consulting and training

Who is iPullRank for?

Companies with technically complex sites, large content libraries, or serious ambitions around AI search visibility. Particularly well-suited to enterprise organizations where SEO requires both technical rigor and a sophisticated understanding of how AI systems process content.

Minimum project size: $50,000+ per Clutch. This enterprise-tier pricing reflects iPullRank’s focus on complex, large-scale engagements; it’s a ceiling, not a floor, for organizations outside enterprise scale.

6. Notebook Agency

Notebook Agency is a Toronto-based SEO, AEO, and GEO consultancy founded by Steve Toth.

The agency started as a solo SEO consulting firm in 2019 and has progressively reoriented its offering around AI search. 

Toth has become one of the more publicly visible operators in the AEO space, publishing through SEO Notebook and AI Notebook (combined ~27,000 subscribers) and teaching cohorts on AEO at platforms like CXL.

Source: notebook.agency

What separates Notebook from most ‘we do AEO too’ agencies is the depth of public artifacts, newsletters, frameworks, and a documented Trust Alignment methodology designed to position brands as the recommended option in late-stage LLM prompts, not just visible somewhere in the answer.

For B2B SaaS companies where the buying decision is increasingly happening inside ChatGPT or Perplexity before any website visit, that distinction matters. 

Services

• AI search optimization (AEO and GEO)
• SEO-driven growth consulting
• Content strategy and production
• Technical SEO
• LLM monitoring and brand truth alignment

Who is Notebook Agency for?

Best for established B2B SaaS and tech brands where decision-stage buyer prompts in LLMs already influence the pipeline. Less suited for very early-stage companies that haven’t yet established a content foundation.

Minimum project size: Pricing is not publicly disclosed on Clutch or the agency’s website. Based on the agency’s public positioning toward seven- and eight-figure B2B brands, retainers sit in the higher tier. Contact directly for a scoped estimate.

7. Avenue Z

Avenue Z is a communications and digital marketing agency that has made AI-native marketing, including AI SEO and GEO, central to its recent positioning. 

The agency expanded through a series of acquisitions in 2024–25, integrating PR, brand governance, and search under a unified offering.

Source: avenuez.com

Avenue Z’s value proposition is cross-channel: combining earned media (PR), owned content, and AI search optimization into a brand visibility program. 

For companies where PR and SEO need to work together to build the kind of third-party authority that AI systems draw from, this integrated approach has genuine merit. 

Services

• Strategic communications and PR
• AI SEO and GEO
• Content and creative services
• Paid media
• Influencer and emerging media

Who is Avenue Z for?

Mid-market to enterprise brands that need PR and search working together to build authority in AI-influenced search engines. Better suited for companies with brand visibility goals that span earned, owned, and AI channels.

Minimum project size: $10,000+ per Clutch. Average hourly rate $150–$199. Specific project costs referenced on Clutch include $50,000 for media buying engagements and $15,000 for website work; total investment scales for integrated PR + AI retainers.

8. Flow Agency

Flow Agency (formerly Flow SEO) is a boutique B2B agency working with SaaS companies, consultancies, and professional services firms.

Founder Viola Eva originally built it as a solo SEO consultancy. Since 2024, the agency has rebranded, expanded its team to ~12, and developed productized B2B offerings around AEO, GEO, and integrated search.

Source: flow-agency.com

Flow’s positioning sits between specialist and generalist. The agency offers traditional SEO, paid media, and link building, but it has explicitly built productized AEO and GEO services that B2B teams can buy as packaged engagements rather than custom retainers. 

Services

• Traditional SEO
• AEO, GEO, and LLM optimization
• Paid media and performance marketing
• Link building and digital PR
• Integrated search strategy

Who is Flow Agency for?

B2B SaaS, consultancies, and professional services firms that want a tailored team and productized AEO/GEO programs without enterprise-tier pricing. Less suited for very large enterprises with deep technical SEO requirements.

Minimum project size: Pricing is not publicly disclosed on Clutch or the agency website. The clearest public pricing signal is a $1,400/retainer minimum for backlink-focused engagements; broader AEO and integrated programs are custom. Contact directly for a scoped estimate.

How to Choose an AI SEO Agency

The questions below are worth asking before shortlisting.

What does ‘AI’ actually mean in their workflow?

Ask agencies to walk you through a specific workflow, say, how they approach a content brief or a technical audit, and identify where AI is involved and what it’s doing. Legitimate AI workflows produce faster research, better topic clustering, or more consistent brief quality.

Do they understand E-E-A-T?

Content rewarded in search engines needs to demonstrate firsthand expertise, credibility, and trustworthiness. Agencies that treat AI content as a volume play without subject-matter expert involvement are operating against this grain. Ask how they handle E-E-A-T in AI-assisted content specifically.

How do they define and measure AI search visibility?

GEO (generative engine optimization) is a real and growing discipline, but measurement standards are not yet mature. Agencies claiming guaranteed AI Overview placements or LLM citation rates should be pressed on methodology. At Minuttia, we track visibility trends and citation appearances across platforms, and we’re iterating as measurement improves.

Is their specialization a genuine fit for your context?

A technical SEO specialist is not the right choice for a company with a thin content library and no indexability problems. A content production agency isn’t the right choice for a company with a major crawl issue. Match the agency’s core strength to your primary constraint.

What do results look like for comparable clients?

Ask for case studies from companies at a similar growth stage, in a similar vertical, with a comparable site profile. Directional traffic increases from consumer brands don’t tell you much if you’re a B2B SaaS company with a long sales cycle.

A structured approach to AI search, one that maps your current visibility across Google and AI answer engines, identifies where competitors are being cited instead of you, and prioritizes the content and authority gaps most worth closing, is more valuable than any single agency relationship. 

One way to get that structure in place before engaging an agency is through a Google and AI Search Strategy engagement, which identifies the topics, prompts, and citation sources shaping your brand’s discoverability.

Wrapping up

Evaluating AI SEO agencies is harder than it should be, primarily because the category label does real work, obscuring what agencies actually do. 

The useful filter is to identify your primary constraint, whether that’s technical indexability, content volume, conversion rate, authority-building, or AI search visibility, and look for the agency whose core strength addresses it.

If you’re a B2B SaaS or technology company evaluating SEO options and want to understand where your current visibility stands across Google and AI search channels before committing to an agency, schedule an intro call with Minuttia’s team.

Frequently Asked Questions (FAQs)

Q1. What are the best AI SEO agencies for SaaS startups?

For early-stage SaaS companies with limited budgets, Embarque offers AI-assisted content production with reasonable entry pricing (from $1,499/month) and process transparency. Flow Agency suits startups that want productized AEO/GEO programs without enterprise pricing. Minuttia is better suited to SaaS companies past early traction that need organic growth tied directly to the pipeline.

Q2. What are the best AI SEO agencies for midsize and enterprise-level SaaS companies?

Midsize and enterprise SaaS companies generally need a combination of technical depth and strategic content capability. iPullRank handles technical complexity at enterprise scale. Powered by Search is strong for B2B SaaS brands wanting demand gen, SEO, and RevOps integrated. Avenue Z suits companies where PR and AI search need to integrate. Minuttia fits complex B2B SaaS companies prioritizing Google and AI search strategy with human-reviewed content.

Q3. What is an AI SEO agency?

An AI SEO agency integrates artificial intelligence tools and workflows into SEO services, covering strategy, content production, and technical optimization. The depth of AI integration varies significantly.

Q4. Who should hire an AI SEO agency?

B2B SaaS and technology companies with complex products, long sales cycles, or content libraries that need to scale without sacrificing accuracy are the most natural candidates. Companies where generic AI content would create compliance or credibility risks should specifically look for agencies with human expert involvement in content creation.

Q5. What services does an AI SEO agency provide?

Services vary by agency, but common offerings include keyword research and topic clustering, AI-assisted content brief generation, technical SEO audits, content production using AI tools with human editorial oversight, generative engine optimization (GEO) for AI search visibility, digital PR for citation building, and analytics and reporting using AI for citation tracking and competitive monitoring.

Q6. What should I look for in an AI SEO agency?

Evaluate agencies on: specificity of AI integration (ask for workflow examples, not just claims), E-E-A-T compliance approach for AI-assisted content, AEO measurement methodology, specialization fit with your industry and growth stage, evidence of results from comparable clients, and pricing transparency. Avoid agencies that invoke AI broadly without explaining what it does in practice.

Q7. How long does it take to see results from working with an AI SEO agency?

Realistic timelines depend heavily on starting conditions, domain authority, existing content library, technical health, and competitive density. Most agencies quote three to six months for initial movement and six to 12 months for meaningful pipeline impact. Technical SEO fixes can show indexation improvements in four to eight weeks. AI Overview and LLM citation visibility are harder to predict.

This was not a marketing call. I booked time on his calendar to evaluate Slate as a potential buyer.

The conversation that follows is what a senior practitioner sounds like trying to figure out whether a piece of software

• actually solves a real problem at scale,
• what it costs, and
• who it’s actually built for (ok, this is more professional curiosity).

Watch the full video.

About Shiyam & Slate

Shiyam runs TripleDart, a growth marketing agency for B2B SaaS, and built Slate (slatehq.com) on the back of the content automation problems his agency was already solving for clients.

The product solves problems content teams actually have, first for the team at TripleDart.

It is an automation tool with pre-built workflows on content automation, updates, and content management at scale, with a human-in-the-middle approach to AI.

In this episode, you will hear us discuss:

• What Slate actually is (and what it isn’t)
• The live demo
• The differentiator from tools like N8N and Make
• The credit pricing model, what $500 actually buys, and how Slate set its prices
• Who Slate is built for (Spoiler: 1,000-page minimum sites)

What Slate Actually Is (and What It Isn’t)

The first thing Shiyam wanted to clarify on the call was the positioning, because it gets confused often. Slate is not an AI search tool.

It is not Profound, Peec, or Athena.

It is a content automation platform built around composable AI actions, what Shiyam calls “nodes.”

You build agents.

The agents run sequences of nodes.

• The nodes generate images,
• pull keyword data from Ahrefs and Semrush,
• take screenshots of brand pages,
• write articles,
• do internal linking,
• do external linking, and
• publish to your CMS.

It’s like Clay, but for SEO and content workflows. You build a workflow once, then call that workflow as a single block inside another, bigger workflow.

The Live Demo: From Brief to Published Article

Shiyam walked through a real workflow built for Guideflow, a European SaaS company. The chain runs like this:

• Take an input brief
• Generate a hero image with GPT-image
• Run a fact-checker node to find fresh statistics on the topic
• Extract brand URLs from the brief
• Take screenshots of those brand homepages
• Map screenshots to brand mentions inside the article
• Write the full article
• Convert to clean HTML, flatten to a single file, generate a slug
• Publish directly to Webflow under a new section of the blog

The end output is a published article with original images, embedded screenshots of competitor products and internal links.

How is this different from N8N or Make.

First, the blocks themselves.

Slate has SEO-native nodes that don’t exist in N8N like Ahrefs, Semrush, citation formatting, web search with AI overviews, schema generation, internal linking, external linking, content humanizer, Reddit scraper, G2 reviews scraper.

The general-purpose tools can technically do this, but you’re building it from scratch. Slate already has the functionality built-in.

Second, every block is structured to take a prompt for both the AI agent and the end user. Slate’s blocks have a dual prompt by design with instructions for the system, and instructions for the human reviewer.

That distinction matters more than it sounds. I tend to prefer workflows with the human-in-the-middle-loop.

Bulk Content Refresh and Internal Analysis

The use case that turns Slate from “interesting” into “I would actually buy this” is bulk content refresh.

If you have 10,000 pages and traffic is declining on 800 of them, the manual job is unbearable. Slate’s content refresh agent ingests an existing article, runs the analysis, and produces a refreshed version with modifications highlighted.

1. Yellow for sections it changed.
2. Green for sections it added.
3. You review, approve, and publish.

Razorpay, an Indian fintech directly competing with Stripe, has roughly 10,000 pieces of content and uses Slate to refresh 25 to 30 per week.

Atlas, a global payroll company, uses it to monitor every country’s official visa site and update their content every time visa rules change.

SentinelOne uses it to maintain a daily-updated repository of new cyber attacks.

Agentic Workflow Building

The internal analysis side is where Slate gets ambitious. Shiyam asked the platform a single question on the call: “Where am I losing to competitors on listicles in the last 30 days?”

The system pulled brand-level SEO metrics, gathered competitor listicle pages, ran a diagnosis on why specific pages were underperforming, and recommended refresh-or-rebuild for each one. Then he asked it to fix the problem. It built the refresh workflow on its own.

Pricing, Credits, and Who Slate Is Built For

This is where I pushed hardest, because Slate’s pricing isn’t on their site in a useful way and I wanted the practitioner answer.

Slate uses a credit model.

Pricing

Workflows and agents (the main product)

• Solo: $500 for 50,000 credits → roughly 30 to 40 content creation or refresh tasks, including image generation
• Pro: $1,000 for 100,000 credits → more credits, more users, plus access to Sanity, Contentful, and additional CMSs (Solo only covers WordPress and Webflow)
• Scaling up from there: $2,000 for 200,000 credits, $3,000 for 300,000

Prompt tracking (separate product, for AI search visibility monitoring)

• 100 prompts × 4 platforms × 4 weeks = roughly $199 to $299

I asked Shiyam how they set the price. The answer was unusually direct.

“Purely on our margins.”

Slate isn’t priced based on competitor benchmarks or willingness-to-pay testing. It’s priced as cost-plus on the underlying API and data fetching costs.

Not a Self-Service SaaS

There is no self-service.

I tried to use Slate before the call.

It does not work without setup.

The white-glove model is built-in to the system.

The company sets up your workspace, configures your CMS connections, and helps you build your first agents.

The Target Market: Enterprise

The target customer is mid-market or enterprise, with a minimum of 1,000 pages on their site.

Average ticket size: $10,000 to $25,000 a year. He has roughly 78 independent customers plus 20 from TripleDart’s agency book.

If you have 200 blog posts and traffic is fine, this is not for you. If you have 5,000 product pages and a content refresh problem nobody on the team has time to solve, this is exactly for you.

Takeaways

Three things stayed with me from this conversation.

Slate solves a real problem for the agency.

Pre-built AI workflows to create and refresh content at scale.

This is for big websites.

This is enterprise SEO automation, sold to teams that already have a content engine, and thousands of pages.

The pricing methodology is going to change.

Cost-plus margin is a good way to start, but I expect the pricing to change as it moves forward. Already, the credit limits have been expanded.

But those placements are competitive. For any given query, multiple businesses are bidding for the same handful of spots.

SaaS PPC agencies know how ad platforms decide which businesses win those spots and they use that knowledge to help you get in. They do this through strategies like audience targeting, budget optimization, and landing page optimization.

Some of the top SaaS PPC agencies are:

Now that you have a brief overview, here’s a more detailed explanation of each agency.

Disclaimer: The information about these agencies is accurate as of 29th April, 2026.

1. AdConversion 

AdConversion is a B2B SaaS PPC agency that specializes in creating ad campaigns optimized for revenue (not clicks and low-quality leads).

Source: Adconversion.com

To achieve this, it digs into your CRM data to identify the lead types actually closing deals. It uses the data it finds to build multi-channel campaigns across Google, LinkedIn, Reddit, YouTube, Capterra, and Bing to attract more of those, not form-fills. Meanwhile, the in-house team designs ad creatives and landing pages using what they learn about your brand guidelines and product positioning.

Once campaigns are live, AdConversion’s internal automation platform continuously monitors performance and uses specific rules to optimize your ad campaign for revenue. For example, it can:

• Pause ads when the cost per SQL exceeds $1,000
• Flag creative fatigue when frequency exceeds 5 and CTR drops below 1%
• Limit LinkedIn spend to business hours only

The reporting reflects that same logic. The Revenue Dashboard pulls ad channel data (Google, LinkedIn, Meta) directly into your CRM. So, closed/won data flows back into the platforms, and they optimize toward actual revenue. 

Offline conversion tracking is also part of the setup, so Google and LinkedIn see which leads became customers, not just clickers. For teams on HubSpot or Salesforce, this closes the attribution loop most agencies leave open.

As for the management structure for each campaign, each client has a senior B2B performance marketer, backed by a dedicated creative, web development, and data team. 

That means, over time, they become knowledgeable about your company, enough to create ads that communicate its positioning clearly.

On the commercial side, AdConversion is transparent about pricing. Packages range from $4,000 per month (for teams that prefer to handle execution) to $18,200 per month. Regardless of the tier, there are no fixed contracts, no ad spend fees, and a 30-day money-back guarantee. 

In B2B PPC, where agencies typically hide pricing details and 6- to 12-month retainers are standard, that’s an unusual position to take. 

But it’s an offer an agency will only make when it’s absolutely sure its methodology will produce results that will prompt clients to extend their contracts. Which is why over 8,000 B2B marketers worldwide enroll in AdConversion’s paid media Academy to learn its winning methodology.

Now, let’s look at the services they use to implement their methodology.

Services:

AdConversion’s services include:

• Pay per click (PPC)
• LinkedIn ads
• Video ads
• Demand generation
• ABM (account-based marketing)
• Landing page design and optimization
• Data analytics and revenue dashboards

Take a deeper look at what each service entails:

Who is AdConversion for?

AdConversion is best for a B2B SaaS company that’s Series A or beyond, and is spending (or ready to do so) a minimum of $15,000 per month on paid ads. Within that group, the agency is usually a strong fit for:

• Lean marketing teams running campaigns on their own or with freelancers. They are getting some results with paid media, but lack an overarching strategy. 
• Growing companies already spending massively on paid ads ($5,000+) but not getting the required results.
• In-house marketing teams that need a specialist to own paid media execution, while collaborating with AdConversion’s team on the broader strategy.

Minimum project size (Based on Clutch): 

$5,000+

2. Bounty Hunter

Bounty Hunter is a SaaS marketing agency that also offers PPC services. It focuses on the various channels popular with B2B SaaS buyers: Google, Bing, LinkedIn, Facebook, and even software review platforms like G2 and Capterra.

Source: Bountyhunter.agency

The agency is the result of a merger with Impactable, a LinkedIn ads agency founded by Justin Rowe. The outcome is stronger cross-channel execution than most agencies of Bounty Hunter’s size, particularly on LinkedIn, where many B2B PPC agencies are weakest.

The agency’s coverage of review platforms also sets it apart, especially since most PPC agencies either don’t know how to run G2 and Capterra campaigns or treat them as an afterthought.

On the data side, it is a certified partner of Segment, Clearbit, Mixpanel, and Adalysis, so it can set up the full data pipeline from ad click to CRM record. 

Before setting up the CRM integration, every client is assigned a dedicated PPC strategist, account manager, and copywriter, all of whom are reachable directly via Slack. In practice, it means faster feedback loops and fewer of the miscommunication issues that cause campaigns to fail.

Pricing is published up front, which is worth noting in a category where most agencies make you sit through a discovery call before revealing a number:

Now, here’s a spectrum of services you can pay for:

Services:

• Paid ads management (Google, Bing, LinkedIn, Facebook, Capterra, G2, Quora)
• Conversion rate optimization (CRO)
• Landing page design and development
• Analytics and tracking setup
• Remarketing strategy
• A/B testing
• User onboarding optimization (Unicorn plan)

Who is Bounty Hunter for?

Bounty Hunter is a strong fit for high-growth B2B SaaS companies that have moved past the early stage and are ready to scale acquisition. That means you’ll find the agency a great fit if you:

• Already have a functioning sales process
• Spend (or are ready to spend) a minimum of $5,000 on ads
• Wouldn’t mind giving the agency access to your CRM

Check out a more detailed checklist of the type of clients the agency serves:

Minimum project size (Based on Clutch): 

$5,000+

3. TripleDart

TripleDart runs paid acquisition programs across Google Ads, LinkedIn, Meta, and Bing with full ownership of pipeline and revenue outcomes.

They have managed over $150 million in ad spend across 250+ SaaS companies, which means most SaaS verticals (fintech, security, HR tech, dev tools, enterprise) are familiar territory for us.

What makes their PPC practice different is our proprietary AI workflows.

They run 24/7 and handle things like real-time budget reallocation, anomaly detection on conversion rates and CPC spikes before they drain spend, and lead quality scoring that feeds directly back into platform bidding algorithms.

Their agents also predict creative performance before launch, so we’re not just A/B testing blindly.

TripleDart’s paid programs don’t operate in a silo. Every campaign syncs with clients SEO, content, and RevOps teams, so that attribution modeling, CRM data, and organic insights all inform paid strategy.


They also run ABM programs natively alongside PPC for accounts with high ACVs and long sales cycles to warm up buying committees before they ever hit a demo form.

Best For

B2B SaaS companies with $50K+ monthly ad budgets and 6-18 month sales cycles.

Strengths

AI workflows that automate budget reallocation, anomaly detection, and creative performance prediction in real time
Paid media execution integrated with RevOps infrastructure, so attribution runs from ad click to closed deal
Native ABM layering alongside PPC for enterprise and mid-market sales cycles

Notable Clientwork and Results
We work with companies like Payoneer,
VWO, CleverTap, and Airbase.

Pricing

Starts at $3500/month for Paid Media Operations.

Rating and Reviews

TripleDart is rated 4.8/5 on Trustpilot

4. Spear Growth

Spear Growth is a B2B SaaS PPC agency based in Bengaluru, India, working with SaaS companies, from Series A startups to unicorns. This means the agency has PPC playbooks for companies at different stages of growth.

Source: Speargrowth.com

Its channel coverage is one of the broadest on this list, cutting across the usual suspects (Google Search, LinkedIn, YouTube, and Meta) and extending to niche platforms such as:

• Reddit
• G2
• GitHub
• Salesforce AppExchange

Dev tools and RevOps SaaS businesses find the coverage of GitHub and AppExchange particularly valuable.

Spear Growth implements a five-week onboarding process to set up campaigns for success. 

Week one is dedicated to auditing your existing account, firstly to identify and cut 10–20% of wasted spend. By week three, new campaigns are running under the agency’s DCDG framework: Demand Capture for buyers already in-market, and Demand Generation for buyers who aren’t. Two weeks later, ad spend is reallocated to the best-performing ads by revenue.

The other thing that separates Spear Growth is how it treats unconverted traffic.

Most PPC engagements stop at the form-fill. So, if someone clicks but doesn’t convert, they’re gone forever. 

Spear Growth tracks intent signals from that traffic (ad engagement, pages visited, time on site) and passes that data to your sales team as a list of accounts that have already shown interest. Reps can then warm-call those leads.

On reporting, this agency goes further than most. 

Ad platform metrics connect to your CRM for SQL-level attribution, while an ETL layer on top enables slicing of pipeline data by segment, channel, and funnel stage.

That way, you get insight into which campaigns generated leads and which leads actually moved through the funnel.

Let’s see the services Spear Growth offers:

Services:

• Paid channel execution (LinkedIn, Google, Meta, Reddit, G2, GitHub, AppExchange, YouTube)
• Demo and free-trial funnel optimization
• Signal-based prospecting (signal-based sales)
• Landing page CRO
• Wider conversion journey optimization
• Reporting and attribution (CRM- and ETL-integrated)
• Copy and design production
• Demand generation and strategic ownership

Who is Spear Growth for?

Spear Growth serves unicorns and Series A to C funded B2B SaaS companies. This widens its target audience to early-stage startups and mature companies. The same broad audience coverage is also reflected in the industries the agency serves:

• HR tech
• Fintech
• Dev tech
• Martech
• Security tech
• RevOps tech

Minimum project size (Based on Clutch): 

$1,000+

5. SevenAtoms

SevenAtoms is a digital marketing agency, headquartered in San Francisco. While its client base spans various industries, it has more than a decade of experience running paid media for SaaS companies.

Source: Sevenatoms.com

SevenAtom’s paid media channel coverage is one of the broadest on this list. Google Search, Bing, LinkedIn, Meta, display, video, Performance Max, and shopping ads all feature in its paid media offering. On top of that, the agency manages ad placements on G2 and Capterra, where buyers are actively comparing vendors and shortlisting solutions.

To set up campaigns on those platforms, SevenAtoms follows a methodological approach:

• Strategy: This includes account audits, CRM audits, competitor analysis, keyword and audience research, and budget planning. 
• Setup: This includes landing page design, CRM integration, conversion tracking, ad copy, creatives, and negative keyword lists.
• Ongoing optimization: This includes A/B testing across ads and landing pages, bid management, audience refinement, and real-time ROI dashboards.

While ads run, the agency reports on revenue through the integration it has set up between the ad platform and your CRM.

Services:

• Google Ads management (search, display, video, Performance Max, shopping, remarketing)
• Facebook and Instagram Ads management
• LinkedIn Ads management
• Bing Ads management
• Landing page design and CRO
• Content marketing and SEO
• Review site placements (G2, Capterra)

Who is SevenAtoms for?

SevenAtoms is a great fit for B2B SaaS companies at various stages, from startups without a dedicated marketing team to established companies looking to scale their acquisition efforts. 

Below is the agency’s eligibility checklist.

Minimum project size (Based on Clutch): 

It’s not publicly disclosed. However, based on Clutch reviews, it ranges from $5,000 to $10,000.

6. GrowthSpree

GrowthSpree is an AI-native B2B SaaS marketing agency with offices in India and the US. The agency’s offerings primarily revolve around PPC, ABM, and RevOps.

Source: Growthspreeofficial.com

It describes itself as AI-native. But unlike those agencies that use the label after merely adding a few automation tools, AI is embedded in how GrowthSpree hires, builds campaigns, and measures performance. Three proprietary tools drive most of that automation:

• Zipeline: Consistently monitors your entire marketing engine 24/7 and ties ad spend to revenue. It also automatically reallocates your ad spend to revenue-generating campaigns.
• QLA (lead quality filter): Filters out low-quality leads from Google and Meta at the source, so your sales team isn’t wasting time on people who were never going to buy.
• GrowthSpree MCP: Tracks LinkedIn ad performance and surfaces specific performance metrics using natural language prompts.

That said, AI handles only the repetitive work, such as monitoring campaigns, reporting, and reallocating spend. The strategy and the final call on every major decision stay with the senior PPC specialists on your account.

This combination of human input and AI helps the agency iterate faster and detect what’s not working before it wastes your ad spend.

When it comes to CRM integrations, HubSpot is the primary platform. 

It offers a full HubSpot implementation and migration as a standalone service, including setup and ongoing management. The goal here is to connect your Google, LinkedIn, and Meta ad data directly to the HubSpot pipeline so revenue reporting reflects closed deals.

Services:

• Google Ads, LinkedIn Ads, Meta/Facebook Ads
• Demand generation
• Account-based marketing (ABM)
• Landing page design and optimization
• Content and messaging
• RevOps (HubSpot implementation and migration)

Take a look at what’s in each service offering:

Who is GrowthSpree for?

GrowthSpree works with B2B SaaS companies at two stages, and the engagement looks different for each. 

For early-stage companies, the focus is on building the demand gen foundation from scratch. For scale-ups, the agency prioritizes scaling what’s already working and fixing what isn’t.

Here’s a checklist you can use to determine if GrowthSpree is best positioned to meet your needs:

Minimum project size (Based on Clutch): 

$1,000+

7. Powered by Search

Powered by Search is a B2B SaaS marketing agency that has been working with SaaS companies for over a decade. It’s a certified Google Partner, Meta Business Partner, and Bing Ads Accredited agency.

Source: Poweredbysearch.com

Where other agencies focus purely on paid media, Powered by Search runs the entire marketing operation (paid ads, SEO, content, digital PR, ABM, and web design) under a single strategy. 

Its argument for offering such a broad scope of services is that paid, organic, and content channels compound over time when they work in tandem rather than in isolation. 

This concept forms the basis of the agency’s Predictable Growth Model, where each marketing initiative connects with others and builds on past results. 

So, a blog post is written with distribution in mind, paid campaigns reinforce the same positioning as organic content, and each channel builds on the results of the previous ones.

Here’s how this approach extends to the services the agency offers:

Services:

• Paid advertising across Google, Facebook, Instagram, and LinkedIn
• Search engine optimization (SEO)
• Account-based marketing (ABM)
• Content marketing and publishing
• Digital PR and link building
• Demand generation strategy
• HubSpot operations and revenue operations (RevOps)
• SaaS web design and development
• Marketing for startups
• Marketing to developers

Who is Powered by Search for?

Powered by Search works best with B2B SaaS companies that are ready to hand over demand generation entirely, including the overarching strategy. They’re not a good fit for teams that want an agency to execute a plan they’ve already built internally, or for companies that only need paid media managed without the broader marketing infrastructure.

Here’s a more detailed checklist with all the eligibility criteria:

Minimum project size (Based on Clutch): 

$5,000+

8. Right Left Agency

Right Left Agency is a growth-focused digital marketing agency that works with SaaS, B2B, fintech, and construction tech companies. Its paid advertising process covers the full campaign lifecycle across Google, Meta, LinkedIn, Bing, YouTube, and programmatic display.

Source: Rightleftagency.com

The name ‘Right Left’ reflects how the agency thinks about marketing; the left brain and right brain working together. 

The left side is the science: audience research, campaign structure, attribution, optimization. The right side is the creative: ad design, copy, branding, storytelling. 

The argument is that most agencies are good at one but not both. Either they’re data-driven, and the creative is forgettable, or the creative looks great, but the targeting is all over the place.

So, to bridge the gap, Right Left handles the creative (copy, design, and video editing) and web, as well as the data, in-house. That way, creative decisions are informed by performance data, and targeting decisions are informed by what the creative can actually support.

So, what services does the agency offer?

Services:

• Paid advertising
• SEO
• Email marketing
• Branding
• Creative design
• Web design and development

Who is the Right Left Agency for?

Right Left’s minimum recommended ad spend ($1,500–$3,000 per month) is significantly lower than most specialist agencies on this list. So, it’s a great option for early-stage companies that need real paid media expertise but can’t afford the $5,000–$ 15,000 minimums that larger agencies require.

You’ll have to look elsewhere, however, if you need CRM-connected revenue dashboards, deep RevOps integration, or ABM at scale. Those capabilities aren’t part of this agency’s core offering.

Here are its best- and worst-fit companies based on its service offerings and approach:

Minimum project size (Based on Clutch): 

$5,000

9. Directive Consulting

Directive Consulting is a B2B marketing agency founded in 2013, with offices in Orange County, Austin, New York, London, Toronto, and Mexico City. It works exclusively with companies in three verticals: technology, professional services, and industrial.

Source: Directiveconsulting.com

Its paid media stack covers Google Search, Bing, LinkedIn, Facebook, Google Display Network, and programmatic display and video. It also runs international campaigns across EMEA and APAC, which you’ll need if you’re expanding across markets.

The Directive Consulting framework, DiscoverabilityOS, is built around a single premise: MQLs and traffic are the wrong things to optimize for. 

Instead, every campaign decision is anchored to LTV:CAC, which relies on a single metric: is the cost of acquiring this customer justified by what that customer is actually worth over time?

To better track this metric, the agency built a proprietary AI-powered tool called Stratos. Strategists use the AI tool to:

• Pull together data from across the stack—Google Ads, LinkedIn, HubSpot, Salesforce, ZoomInfo, Gong, SEMrush, and more—into one place. Instead of waiting for end-of-month reports, strategists can immediately see trends and act on them.
• Automate repetitive work (keyword research, reporting, early-stage copy drafts) so the strategists spend more time on strategy than admin.
• Use natural language prompts to identify the shared characteristics of high-value customers and find others like them.
• Enrich known accounts with additional firmographic and behavioral data.

Over time, the platform has become sharper, fueled by the $2.2M Directive invests annually in marketing R&D.

Here are the service offerings this methodology powers:

Services:

• Paid search (Google and Bing) and social (LinkedIn and Facebook)
• Programmatic advertising
• Account-based marketing (ABM)
• Content marketing and SEO
• Revenue operations (RevOps)
• Lifecycle and influencer marketing
• Organic social media
• Public relations (PR)
• Performance reporting and analytics

Here’s a closer look at what each service entails:

Who is Directive Consulting for?

Directive Consulting operates on a scale far beyond that of most PPC agencies. Its client roster—which includes companies like Adobe, Cisco, Calendly, ZoomInfo, and Gong—gives you a clear picture of whom it’s built to serve. 

Its model is designed for companies with large budgets and market scope.

For that reason, it’s a great fit for teams running complex campaigns that cut across multiple markets. But a mismatch for lean teams that need tight, direct access to the people running the account.

Take a closer look at who the agency does and doesn’t serve:

Minimum project size (Based on Clutch): 

$5,000

10. PipeRocket Digital

PipeRocket Digital is a B2B SaaS marketing agency specializing in GTM strategy, SEO, performance marketing, marketing ops, and content marketing. Its paid media runs across Google Ads, LinkedIn Ads, Meta, and programmatic channels.

Source: Piperocket.digital

Praveen Ravi and Kamaraj Mathiarasan, PipeRocket’s co-founders, spent years on the client side of SaaS before starting the agency in 2023. That experience shapes how they work. 

Rather than running generic campaigns and reporting on traffic, PipeRocket builds its engagements around a three-stage process: 

• Understand the product, ICP, competitive landscape, and which channels your buyers actually use.
• Execute campaigns across the right channels, built around that research, not templated from a previous client.
• Continuously test and refine until the results are sustainable, not just present in month one.

Each step is treated as a prerequisite to the next, rather than as a box to be checked during onboarding. PipeRocket has applied this process across 50+ SaaS brands, managing over $5M in ad spend along the way.

For teams using HubSpot, Salesforce, or Marketo, the agency integrates your PPC ad platform directly with your CRM, to simplify revenue attribution.

PipeRocket deliberately limits new client intake to one or two per month. That sounds like a constraint but it actually signals that the agency would rather do fewer things well than overcommit and produce subpar results.

Services

PipeRocket’s services include:

• SaaS PPC (Google Ads, LinkedIn Ads, Meta Ads, programmatic)
• SaaS SEO
• Marketing operations (MarkOps)
• Content marketing
• Go-to-market (GTM) strategy

Here’s how each service matters for SaaS.

Who is PipeRocket for?

PipeRocket works with B2B SaaS companies at any stage, from early-growth to scaling. However, it is only a strong fit for teams that want PPC managed alongside SEO and marketing ops under one roof.

Minimum project size (based on Clutch): 

$5,000+

11. Team 4

Team 4 is a B2B SaaS marketing agency based in London, specializing in inbound. It works exclusively with startups and scale-ups in niche verticals such as AI, fintech, HR tech, edtech, climate tech, and legal tech. 

Source: Team4.agency

Although Team 4 runs PPC campaigns (Google Search, LinkedIn, and Meta), it always runs them alongside SEO, targeting the same keywords across both channels. 

The thinking behind this position is that making paid a major lead acquisition channel is unsustainable over time. Once the ad budget runs out, it stops working. 

So, before scaling spend, Team 4 uses SEO to identify which keywords and messaging actually convert and what an allowable cost per lead looks like. PPC then amplifies what’s already working, rather than funding guesswork at scale. 

That way, every dollar of ad spend goes toward what’s more likely to work, rather than failed experiments.

To keep iteration fast, the agency also offers fully managed landing pages as part of the service, built and hosted by its in-house team. When a page needs to change mid-campaign, the team handles it directly instead of waiting on a third party.

Let’s take a look at Team 4’s other services next.

Services:

• PPC and paid media (Google Search, LinkedIn Ads, Meta for retargeting)
• SEO and organic search
• Webflow design and development
• Inbound marketing
• LLM and AI search optimization
• Content marketing
• Digital marketing strategy

Who is Team 4 for?

Team 4 works primarily with B2B SaaS brands spending at least £3,000 (approximately $4,400 at current rates) per month on marketing. They typically fall into either of two groups:

• A startup or scale-up that doesn’t yet have a dedicated inbound team and needs to build one. 
• A marketing team with a large headcount, but without the specialist expertise to handle PPC.

Early-stage startups that haven’t yet validated product-market fit and larger enterprises that need a full-service agency are unlikely to be a good fit.

Below is a more detailed breakdown of Team 4’s eligibility criteria:

Minimum project size (Based on Clutch): 

Team 4 doesn’t publish pricing on Clutch, but its website states that it typically works with companies spending at least £3,000/month on marketing. Add a typical agency retainer on top of that, and the total monthly commitment is likely closer to £7,000–£8,000. 

However, it’s worth confirming this directly with the agency before coming to a conclusion.

How to Choose a PPC Agency

To choose a PPC marketing agency for your business, follow these steps:

• Match the agency to your stage: Early-stage companies and scaling companies have fundamentally different needs. Most agencies are better at one than the other. Before evaluating anyone, be honest about where you’re actually at, and confirm how they adjust their process to fit your current stage.
• Ask how they measure success: Almost every agency claims to track revenue, but few explain how. Find out by asking the right questions. Does the agency report on cost per SQL or cost per opportunity, not just cost per lead? Can it connect closed/won data from your CRM back into the ad platforms? How does it calculate the CAC payback period?
• Review SaaS-specific case studies: Ask for results from B2B SaaS clients, preferably in your category, at your price point, and with your sales motion (PLG vs. sales-led). Case studies that cite SQL volume, pipeline generated, and CAC improvement would be better, since those numbers are harder to fake.
• Check channel depth, not just channel breadth: It’s best to find an agency that handles the channels that matter most to your buyers specifically, instead of focusing on broad channel coverage. For example, to confirm an agency’s depth in Google Ads, you could ask it to walk you through how it structures a Google Search campaign for a B2B SaaS product specifically. How does it separate branded, non-branded, and competitor terms and handle match types?
• Understand the pricing model before the first call: Learn about the agency’s price structure and what that entails. You should also check for ad spend fees and what happens if there are no results. 
• Confirm the reporting and CRM attribution stack: Regardless of the channel it uses, the agency should be able to connect ad spend data to your CRM. Without this, your ad platforms will be optimizing toward form-fills and attribution will only cover vanity metrics such as clicks and impressions.

Wrapping Up

Every agency on this list runs paid media. What separates them is what they optimize for, how they measure it, and who they’re actually built to serve.

For example, if you’re Series A or beyond with a minimum of $15K/month in ad spend and want campaigns tied directly to revenue, AdConversion is worth the conversation. Whereas if you’re scaling across multiple markets, Directive Consulting might be worth a look.

The right agency for you shouldn’t only have a list of impressive clients and service offerings. Its operating methodology should match your growth stage, budget, and how buyers in your industry make decisions.

Frequently Asked Questions (FAQs)

Check out these answers to questions we get from most B2B SaaS brands looking for a PPC agency:

Are SaaS PPC agencies worth it?

Yes, if you have a clear ICP, a functioning sales process, and enough ad spend to justify the management fee. Without those in place, you’ll likely burn through budget without seeing meaningful returns, even if the agency is really good. Conversely, when they are in place, a great SaaS PPC agency simply comes in to scale what’s working and cut down what’s not.

How long until PPC works for SaaS?

In our experience, we use the first 30–60 days to gather sufficient data to learn what the algorithm rewards and continuously improve the campaign. Once that’s done, we typically start seeing results 30 days later (90 days or three months after we launched the campaign).

Which channels matter most for SaaS?

At the top of the list is Google Search; even with the advent of AI, buyers still search for SaaS companies on Google. LinkedIn is the next on the list for SaaS companies that already have an ICP with a clearly defined job title and company size, and a marketing budget to cover the higher CPCs. Lastly, G2, Reddit, and Capterra are great ways to reach buyers actively comparing vendors.