Ditch GA4: Why It's Time to Switch to PostHog and Go High Level

Are you still running GA4 for traffic, Microsoft Clarity for heatmaps, HubSpot for forms and Optimizely for A/B tests? If so, you're paying for four tools that don't talk to each other, and you still can't answer the one question that matters: which marketing actually produced your best leads?

It's time to consolidate onto one platform that tracks every visitor from first click to closed deal, then feed that data back into your ad campaigns. Here's why, and how to do it.

The problem: too many dashboards, no single story

Each tool in a typical marketing stack sees one slice of the customer. GA4 sees sessions and channels. Clarity sees clicks and scrolls. HubSpot sees the form fill. Optimizely sees which test variant someone got. None of them share a user ID, so none of them can tell you the full story of a single lead.

That creates real costs:

• Hours lost reconciling reports. Every tool counts users, sessions and conversions differently, so the numbers never match.

• Broken attribution. You can't easily see when someone first visited your site, or what brought them back before they converted.

• Budget decisions made on guesswork. If you can't see which channel produced a qualified lead, you can't confidently move money toward it.

Picture a lead who first clicks a LinkedIn ad, reads two blog posts over the next month, then returns through a Google search and books a demo. In a split stack, Google gets the credit and LinkedIn looks like wasted spend. The truth is that both mattered, and you'd never know it.

Four disconnected tools become one platform that feeds your CRM and adsBefore: four tools, four user IDsAfter: one event databaseGA4sessions, channelsMicrosoft Clarityclicks, scrollsHubSpotform fillsOptimizelytest variantsNo shared user ID, so no single lead storyPostHogWeb analyticsSession replayExperimentsIdentity + funnelslead journeysqualified leadsYour CRMGoogle Ads

Before and after: four separate tools versus one platform that feeds your CRM and Google Ads.

Why GA4 became a black box

GA4 was built for aggregate, privacy-safe reporting, not for following individual leads. That design choice shows up in three ways marketers feel every week:

• Data thresholds. GA4 hides rows in reports when it decides the numbers are small enough to risk identifying someone. Google states these thresholds are system-defined and can't be adjusted (Google Analytics Help).

• Modeled data. When visitors decline cookies, GA4 fills the gap with estimates. Those modeled numbers appear in the interface but never reach your raw BigQuery export, so the two never reconcile.

• No person-level journey. GA4 tells you how many users came from a channel. It won't hand you a named lead with every visit, page and ad click attached.

Google has good privacy reasons for all of this. But the result is that marketers lose the visibility they need to judge what's working, and they need it back.

What PostHog replaces

PostHog is an open-source platform that puts web analytics, product analytics, session replay, heatmaps, A/B testing, feature flags, surveys, a data warehouse and a customer data platform on one event database (PostHog FAQ). Because every tool reads the same data, the same visitor can appear in a funnel, a session recording and an experiment with no exports in between.

Your CRM still matters. PostHog doesn't replace it; it feeds it. The goal is one source of behavioral truth that your CRM and ad platforms can draw from.

How identity stitching connects the whole journey

Identity stitching is the feature that makes this switch worth it. It turns a string of anonymous visits into one named lead with a complete history.

One form fill turns anonymous visits into a named lead with a full historySame anonymous ID, stored in a cookieVisit 1clicks a LinkedIn adVisits 2 and 3reads two blog postsVisit 4returns from GoogleForm fillemail identifies themhistory mergesOne named lead profile in PostHog and your CRMFirst touch: LinkedIn ad · Content read: 2 blog postsCame back through: Google search · Converted: demo booked

Identity stitching: four anonymous visits become one named lead profile.

Here's how it works:

1. A visitor arrives. PostHog gives them an anonymous ID and stores it in a cookie.

2. Every visit is logged against that ID. The ad they clicked, the UTM tags, each page viewed and each session recording all attach to the same anonymous profile, across days or weeks.

3. They identify themselves. When the visitor fills out a form, you call PostHog's identify function with their email.

4. History merges. PostHog links the email to the anonymous ID, so everything they did before the form fill now belongs to a named person.

Now you can see which channel first brought each lead in, which pages they read and which ad brought them back. That's the level of detail you need to decide where to invest your time, money and budget.

Closing the loop: send qualified leads back to Google Ads

Here's where the data starts paying for itself. By default, Google Ads optimizes toward whatever you tell it is a conversion, usually a form fill. But not every form fill is a good lead. Spam, students and poor-fit prospects all count the same.

The fix is to tell Google which leads turned out to be qualified:

Qualified leads, not form fills, teach Google where to bidAd clickGoogle Ads, any channelJourney recordedPostHog stitches each visitForm filllead lands in your CRMLead qualifiedsales marks it an MQLSignal sent backvia enhanced conversionsSmarter biddingbids toward qualified leadsmore of the right clicks

The closed loop: CRM qualification feeds Google Ads bidding.

1. A lead fills out a form. The submission, with the email and ad click ID, lands in your CRM, enriched with the journey PostHog recorded.

2. Your sales team qualifies it. The lead is marked as a marketing qualified lead (MQL), sales qualified lead or closed deal.

3. The CRM sends that status back to Google Ads. Google's feature for this is called enhanced conversions for leads, which matches the conversion using the email address the person typed into your form (Google Ads Help).

4. Smart Bidding learns. Google starts bidding more on the keywords, search queries and audiences that produce qualified leads, and less on the ones that only produce form fills.

Two technical notes. Enhanced conversions for leads doesn't require storing the Google click ID (GCLID) in your CRM, which makes setup simpler than classic offline conversion import. And from June 15, 2026, these uploads moved to Google's Data Manager API, so check that your CRM connector or integration is current (Relevant Audience).

Why this matters more in the Performance Max era

Google keeps handing more decisions to automation. Performance Max campaigns decide for you where your ads run across Search, YouTube, Display, Discover, Gmail and Maps, which queries they match and how much to bid.

To be fair, Google has opened the hood a little. Since 2025 it has added channel-level reporting and full search terms reporting to Performance Max (Google). But reporting isn't control. You can see where the money went; the algorithm still decides where it goes next.

That leaves one lever you fully own: the quality of the conversion signal you feed the algorithm. If you tell Performance Max that every form fill is a win, it will happily find you more cheap, low-quality form fills. If you tell it which leads became qualified pipeline, it will hunt for more of those.

In other words, feeding qualified-lead data back into Google Ads is how you take back the control Google is removing.

Getting started

You don't need to rip everything out at once. A sensible rollout looks like this:

1. Install PostHog alongside GA4. Run both for 30 to 60 days so you can compare numbers and build trust in the new data.

2. Identify leads on every form. Call PostHog's identify function with the email on submit, so anonymous history merges into the lead's profile.

3. Capture ad click IDs and UTM tags. Store them on the person in PostHog and pass them into hidden form fields so they reach your CRM.

4. Connect PostHog to your CRM. Use PostHog's data pipelines to push each lead's first-touch channel, key pages and recent activity onto the CRM record.

5. Define what "qualified" means. Agree with sales on the stage that counts as a marketing qualified lead, and make sure reps update it consistently.

6. Set up enhanced conversions for leads. Create the conversion action in Google Ads and connect your CRM, then switch your bidding goal to qualified leads once enough data flows in.

7. Build smarter audiences. Use PostHog cohorts (for example, visitors who viewed pricing twice but never booked) to power retargeting campaigns.

8. Retire the old tools. Once the numbers hold up, cancel Clarity and Optimizely and scale GA4 back to a backup role, or drop it.

Trade-offs to consider

This switch isn't free, and it isn't right for everyone.

• Setup takes effort. Identity stitching, CRM pipelines and conversion imports need a developer or a technical marketer. Budget a few weeks.

• Privacy and consent still apply. Tying behavior to a named person is personal data under GDPR and CCPA. You need a clear privacy policy, proper consent handling and a signed data processing agreement.

• Sales has to play along. The feedback loop only works if reps update lead stages reliably. Garbage in, garbage out.

• Small sites may not need it. If you get a handful of leads a month and spend little on ads, GA4 and a simple CRM may be enough.

• Google Ads still needs volume. Bidding toward qualified leads works best when you have a steady flow of them. If qualified leads are rare, start by optimizing to an earlier stage and move down the funnel as volume grows.

Go high level

GA4 gives you totals. Your business runs on people. Consolidating onto PostHog gives you one view of every lead's journey, and pushing qualified leads back into Google Ads turns that view into better bidding.

Stop juggling dashboards. Pull your data into one place, connect it to your CRM and teach your campaigns what a good lead looks like.

Book a free tracking audit with Verbatim Digital and we'll map your current stack, show you where attribution is breaking and plan your switch.

Sources

• PostHog FAQ

• Google Analytics Help: About data thresholds

• Google Ads Help: Conversions from clicks using enhanced conversions for leads

• Relevant Audience: Offline conversion import, GCLID vs enhanced conversions for leads

• Google: Channel performance reporting coming to Performance Max