{"id":519307,"date":"2025-12-02T17:45:14","date_gmt":"2025-12-02T17:45:14","guid":{"rendered":"https:\/\/userpilot.com\/blog\/?p=519307"},"modified":"2026-03-02T13:05:06","modified_gmt":"2026-03-02T13:05:06","slug":"heap-integrations","status":"publish","type":"post","link":"https:\/\/userpilot.com\/blog\/heap-integrations\/","title":{"rendered":"Heap Integrations Explained: Does It Fit Your Tech Stack?"},"content":{"rendered":"

Heap integrations can talk to your CRM, marketing platforms, and product adoption software<\/a> to turn behavioral data into action.<\/p>\n

However, Heap gates these integrations behind their highest tiered plan. Is it worth upgrading your Heap account instead of switching to an all-in-one platform?<\/p>\n

To see if it fits your stack, I’ll break down all integrations in Heap, including how they work and which platforms are supported.<\/p>\n

Explaining Heap integrations<\/h2>\n

To better understand Heap’s environment for integrations, I’ll break it down into 12 different types of software:<\/p>\n

1. Customer data platforms (CDP)<\/h3>\n

CDPs that connect with Heap: <\/strong>Segment, Evergage (requires custom development), and Tealium.<\/p>\n

Heap provides integrations for customer data platforms<\/a> (CDPs) to import or export data via server-side APIs. It ensures Heap\u2019s data doesn\u2019t live in a silo and “User 123” in your analytics is the same person as “User 123” in your help desk.<\/p>\n

This integration makes it possible to, for example, use Heap to analyze product usage based<\/a> on demographic data (e.g., job titles, salaries, etc.) by pulling it from the CDP.<\/p>\n

\"Heap<\/a>
Heap integrations with Segment.<\/figcaption><\/figure>\n

2. Data warehouses<\/h3>\n

Warehouses that connect with Heap: <\/strong>Snowflake, BigQuery, Redshift, Amazon S3, and Databricks.<\/p>\n

Heap’s warehouse integrations use ETL (Extract, Transform, Load) to sync raw event data from Heap into a structured SQL database.<\/p>\n

This way, if the built-in analytics in Heap aren’t enough, your team can run complex SQL queries to find answers. For example, you can join your product usage data<\/a> with your Stripe revenue data to correlate LTV\/CAC ratio<\/a> with in-app behaviors (activity, feature usage, etc).<\/p>\n

3. Product adoption and onboarding<\/h3>\n

DAPs that connect with Heap:<\/strong> Chameleon, Appcues, Userflow, CommandBar, Product Fruits, Candu, and Userpilot.<\/p>\n

With the product adoption tools<\/a> integrations, you can use UI elements (modals, tooltips, checklists) to reduce friction in the product experience<\/a> (e.g., drop-offs, inactivity, etc). It submits the engagement data from<\/a> the adoption tool (e.g., “Flow Completed”) back to Heap for analysis. Plus, it also sends behavioral data (e.g., feature activation) to target personalized in-app guidance<\/a> based on Heap segments.<\/p>\n

This makes it possible to, for instance, see if users who complete your interactive walkthroughs<\/a> have higher retention than those who dismiss them.<\/p>\n

Note: <\/strong>Userpilot’s integration is not two-directional. You can only send data from Userpilot to Heap, but not backwards.<\/p>\n

4. Session replay<\/h3>\n

Heap only integrates with Fullstory for session replays<\/a>. This integration passes a session ID from Fullstory into Heap as an event property, allowing you to click a link in Heap and watch the exact session where an event occurred.<\/p>\n

So if a funnel step in Heap shows high drop-off, it’s possible to use the integration to watch directly how users are dropping off.<\/p>\n

Note: <\/strong>Heap has its own session replay feature<\/a>, which might turn this integration redundant.<\/p>\n

5. Net Promoter Score (NPS)<\/h3>\n

For analyzing customer sentiment, Heap only offers integration with Delighted. It sends customers’ NPS rates<\/a> so you can use Heap for deeper analysis.<\/p>\n

This means that, besides segmenting users into promoters, passives, and detractors, it’s also possible to correlate NPS ratings with key events in Heap (e.g., activation, upsells, etc.).<\/p>\n

Note: <\/strong>This integration only sends NPS ratings. It doesn’t include any form of qualitative feedback<\/a>.<\/p>\n

5. A\/B testing<\/h3>\n

A\/B testing platforms<\/a> that connect with Heap:<\/strong> Optimizely, VWO, Kameleoon, AB Tasty, Spit, Qubit, Flagsmith, Statsig, and Oracle Maxymiser.<\/p>\n

Heap’s integration with A\/B testing tools<\/a> sends the “Experiment ID” and “Variation Name” (e.g., Control vs. Variant B) to Heap as event properties. Allowing you to perform deeper analyses of your experiments<\/p>\n

For instance, you can segment your Heap data by “Experiment Variant”. And thus, see if Variant B brought in users who actually stayed active for 6 months (rather than just generating short-term signups).<\/p>\n

6. CRM software<\/h3>\n

CRMs that connect with Heap:<\/strong> Salesforce and HubSpot.<\/p>\n

This integration pushes aggregated behavioral data<\/a> (e.g., “Last Login Date,” “Total Key Actions Performed”) from Heap into custom fields in your CRM. It allows sales reps to approach leads based on their in-app activity, as well as correlate product adoption based<\/a> on CRM values.<\/p>\n

For instance, you can set a Product Qualified Lead (PQL)<\/a> condition in Heap based on high-intent actions (e.g., inviting teammates, viewing the pricing page, hitting usage limits). This way, when a user meets the condition, the integration syncs this status in the CRM to automatically promote it to a PQL.<\/p>\n

7. Customer success and support<\/h3>\n

Helpdesks that connect with Heap:<\/strong> Intercom and Zendesk (requires custom development).<\/p>\n

These integrations embed a “user timeline” into the support agent’s view. So when a ticket is opened, the integration queries Heap to display the user’s recent actions.<\/p>\n

This helps the agent understand the context of the issue. So if a user asks, “How do I invite teammates?”, the agent can see they failed three times in the last ten minutes. Also, it’s possible to trigger automated retention campaigns<\/a> via Intercom if key accounts stop logging in, preventing churn before it happens.<\/p>\n

8. Marketing automation<\/h3>\n

Marketing platforms that connect with Heap:<\/strong> Marketo, Klaviyo, Braze, Iterable, Autopilot, and Sendgrid.<\/p>\n

Heap can serve as a trigger source for marketing automations. So whenever a user performs (or fails to perform) a specific set of actions, Heap pushes that event into a marketing platform to trigger a campaign.<\/p>\n

For example, if a user signs up but fails to activate a core feature, Heap detects this and triggers a “Need Help?” email sequence. This improves open rates and feature adoption<\/a> compared to time-based drip campaigns.<\/p>\n

9. Attribution<\/h3>\n

The Heap-Attribution integration tracks the source of a conversion or visit to calculate the ROI of advertising campaigns.<\/p>\n

With Heap, it can tie that acquisition source to product behavior<\/a>. For example, you may find Facebook Ads bring cheap leads who rarely become “Power Users<\/a>,” while LinkedIn leads cost more but have 3x higher LTV<\/a>.<\/p>\n

10. E-commerce tools<\/h3>\n

E-commerce platforms that connect with Heap:<\/strong> Shopify, Stripe.<\/p>\n

For D2C brands, Heap can integrate with Shopify and Stripe to analyze users based on purchase behaviors. These integrations ingest order data (SKU, quantity, cart price) into Heap, allowing you to identify users by “Total Spend” or “Average Order Value.”<\/p>\n

For example, you can:<\/p>\n