Heap (by ContentSquare)

Install Heap snippet

Define the funnel steps using Virtual Events

Use 'Illuminate' to find the top friction point

Segment the drop-off by browser or device type

Watch integrated Session Replays for the drop-off cohort

Release the new feature in the app

Retrospectively label the feature's 'Click' event in Heap

Create a cohort of 'Power Users' from historical data

Compare feature adoption rates between 'Power Users' and 'New Users'

Adjust UX based on the path users took to reach the feature

Integrate Heap with Zendesk/Intercom

Define an event for 'Support Ticket Submitted'

Use 'Path Analysis' to see what users did 5 minutes before submitting a ticket

Identify confusing UI elements that trigger help searches

Deploy UI fixes and monitor the decrease in ticket-to-session ratio

Capture UTM parameters automatically via Autocapture

Create a retention graph segmented by 'Initial Referrer'

Compare 30-day LTV of Google Ads users vs. Organic Search users

Reallocate budget to higher-retaining channels

Run an A/B test using Optimizely or VWO

Heap automatically captures the experiment ID and variant

Analyze how Variant B affected retention, not just the initial click

Verify if the change caused any unexpected regressions in other metrics

Set up a 'Conversion' goal for subscription

Analyze users who converted vs. those who churned

Identify 'Aha moments' (e.g., users who upload 5 files are 80% more likely to pay)

Trigger in-app nudges to encourage those specific behaviors

Create a 'Declining Engagement' cohort (active 30 days ago, inactive last 7 days)

Analyze the last active session to find errors or frustration

Export this list to a Customer Success tool like Gainsight

Initiate a re-engagement campaign based on their last used feature