Can Heap Integrate with Google Analytics?

So, you’re using Google Analytics for marketing data and Heap for product analytics, and now you want them to talk to each other. Getting these two powerful platforms to sync up is a common goal, but it's not a simple one-click integration. The good news is that you can absolutely bridge the gap. This guide will walk you through exactly how to connect Heap and Google Analytics, why you’d want to, and what you gain by creating a unified view of your user's journey.

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First, What Is Google Analytics?

Google Analytics (specifically, GA4) is the undisputed king of web analytics. It's built to tell you everything about how people find and arrive at your digital doorstep. At its core, Google Analytics excels at answering questions about traffic and acquisition, such as:

• Where are my website visitors coming from? (e.g., Organic Search, Paid Social, Email)
• Which marketing campaigns are driving the most traffic and conversions?
• What are the demographics and interests of my audience?
• How do users navigate through my site from their landing page to a conversion goal, like a purchase or sign-up?

GA4 organizes data around users and events, but its real strength remains in understanding the customer acquisition funnel and the marketing touchpoints that influence session-level behavior. It helps you measure the effectiveness of your advertising spend and SEO efforts by tracking the path visitors take across your website.

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And What Is Heap?

While Google Analytics focuses on the "how they got here," Heap focuses on "what they did after they arrived." Heap is a powerful product analytics tool that’s famous for its codeless, autocapture technology. From the moment you install its snippet, Heap automatically tracks every single click, tap, swipe, pageview, and form submission on your website or app. You don't need to manually configure "event tracking" for every new button you add.

This comprehensive dataset allows teams to retroactively answer questions about user behavior without waiting for a developer to implement tracking. Heap is ideal for answering detailed product questions like:

• What are the most and least used features in our product?
• Where are users dropping off in the new-user onboarding funnel?
• How does the usage of a specific feature correlate with user retention?
• Do users who interact with feature A convert better than those who don't?

Heap is user-centric, helping you understand how engaged users are with your product over their entire lifecycle, well beyond their initial acquisition session.

Heap vs. Google Analytics: Key Differences

The two tools are designed for different, though related, jobs. Understanding their core philosophies is key to knowing why you'd want to connect them.

Core Focus:

• Google Analytics: Primarily a marketing and acquisition analytics tool. Measures and reports on traffic sources, campaign ROI, and high-level site engagement.
• Heap: Primarily a product analytics tool. Measures in-app behavior, feature adoption, funnels, and user retention with deep granularity.

Data Collection:

• Google Analytics: Requires manual or semi-automated tagging. You have to decide what’s important to track (like a button click or form submit) and configure a GA4 event for it, often using Google Tag Manager.
• Heap: Codeless and retroactive. It automatically captures all user interactions, giving you a complete dataset to analyze after the fact. You can define events in the UI based on data that has already been collected.

Data Model:

• Google Analytics: Rooted in a session-based model. It's excellent at analyzing what a user does during a single visit.
• Heap: Built on a user-based model. It excels at tracking a single user's behavior across multiple sessions over days, weeks, or months.

The Solution: Connecting Heap to GA with a Custom Dimension

While Heap doesn't offer a direct, built-in integration that sends data to Google Analytics, you can connect them by passing a unique identifier from Heap to GA. The goal is to get the heap_user_id into Google Analytics so you can link specific GA sessions to detailed user profiles in Heap.

This bridges the gap between the anonymous marketing session data in GA and the rich, behavioral user data in Heap. Here’s how you do it, step by step.

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Step 1: Create a Custom Dimension in Google Analytics

First, you need a place within Google Analytics to store the Heap User ID. This place is called a "custom dimension."

1. Log in to your Google Analytics 4 property.
2. Go to Admin (the gear icon in the bottom-left).
3. In the 'Property' column, click on Custom definitions.
4. Click the Create custom dimensions button.
5. Configure your new dimension with the following settings:
6. Click Save.

It can take up to 24-48 hours for new custom dimension data to fully process and appear in your reports, so don’t worry if you don’t see it right away.

Step 2: Get Your Heap User ID

Next, you need to grab the unique ID that Heap assigns to each user. Heap provides a simple Javascript API to access this information. You can use the heap.userId property to retrieve the ID of the current user. If a user is anonymous, Heap still assigns an ID that you can access.

Step 3: Send the Heap ID to Google Analytics

With your custom dimension ready in GA and a way to grab the Heap ID, the final step is to send that ID from your website to GA. The two most common ways to do this are via Google Tag Manager or by adding a code snippet directly to your site.

Method A: Using Google Tag Manager (Recommended)

Google Tag Manager (GTM) is the cleanest way to manage this process. It keeps third-party code organized and out of your main codebase.

1. Create a Custom JavaScript Variable in GTM:
2. Update your GA4 Configuration Tag:
3. Preview and Publish: Use GTM's preview mode to test that the variable is working correctly and the heap_user_id is being sent with your GA4 events. Once confirmed, publish your GTM container.

Method B: Add a Direct Code Snippet

If you aren’t using GTM, you can add a snippet of JavaScript directly to your website's code. This code should run on every page load, after both the Heap and Google Analytics gtag.js snippets have loaded.

Place the following code on your website:

if (typeof heap !== 'undefined' && typeof gtag !== 'undefined') {
  var heapUserId = heap.userId,
  if(heapUserId) {
    gtag('set', 'user_properties', {
      'heap_user_id': heapUserId
    }),
  }
}

This code checks if both heap and gtag objects exist, retrieves the heap.userId, and then sends it to Google Analytics as a user property using the gtag('set', ...) command. Now you'll have a Heap User ID dimension attached to your users in GA4.

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Why Is Connecting Heap and Google Analytics So Valuable?

Once you’ve set this up, you can start combining the strengths of both platforms to get visibility into the full customer journey.

• Uncover Your True Acquisition Funnel: You can finally see which Google Ads campaigns drive users who not only sign up, but who also complete your onboarding flow and start using your most valuable features. A campaign might have a great cost-per-signup in GA, but this connection will show you if those users actually stick around and get activated.
• Create Behavior-Based Marketing Audiences: Filter for highly engaged a.k.a. "Power Users" in Heap, export their user list (using the ID), and create remarketing audiences in Google Ads to find more people like them. Or create an audience of users who started your checkout funnel but didn't finish, and retarget them.
• Analyze Marketing Impact on Feature Adoption: Answer powerful questions like, "Do users that visit our 'product use cases' blog posts end up using more of our advanced product features?" By joining that GA session data with Heap’s in-app behavioral data, you connect marketing content to actual product usage.
• Streamline User-Level Debugging: If you see a particularly interesting or unusual session in a GA4 path exploration report, you can copy the Heap User ID from that user, search for it in Heap, and watch session replays or view their full event stream to understand exactly what they did. This turns anonymous patterns into concrete, user-level stories.

Final Thoughts

While Heap and Google Analytics don't offer a native, out-of-the-box integration, you can effectively link them by passing Heap’s unique user ID into a custom dimension in GA4. This powerful workaround lets you connect top-of-funnel marketing data with deep, back-end product behavior, giving you a complete picture of your user journey.

Frankly, this process of manually bridging data silos is the exact kind of reporting headache that keeps marketers and founders stuck in endless configurations instead of finding insights. At Graphed, we automate this entire process. We allow you to connect all your data sources, including Google Analytics, with just a few clicks. Instead of piecing together IDs and dealing with tag managers, you can simply ask in plain English, "Show me which campaigns are driving an increase in user activation," and instantly get an answer that combines marketing and product data. It’s like having a data analyst on your team who handles the tedious data stitching so you can focus on growing your business.