
Nov 6, 2024
Introduction
Analyzing A/B test results shouldn't require you to learn new tools or switch between multiple platforms. With Optimal UX's Heap Analytics integration, you can analyze your experiment results directly in your familiar Heap Analytics dashboard. This seamless integration enables product teams to leverage Heap's powerful analytics capabilities while running A/B tests, making data-driven decisions easier than ever.
Why Integrate Heap Analytics with Your A/B Testing Tool?
Track experiment participation alongside other user behavior metrics
Create custom segments based on experiment variants
Build comprehensive funnels that include A/B test data
Analyze experiment results using your existing Heap dashboards
No additional learning curve for your analytics team
Step-by-Step Integration Guide
Enable the Integration
Access your Optimal UX dashboard
Go to Settings > Integrations
Locate the "Heap Analytics" integration
Enable the integration toggle
Understanding Data Flow
When enabled, Optimal UX automatically sends experiment data to Heap Analytics through user properties:
Data is sent via the
heap.addUserProperties()
function (learn more)Each experiment creates a property named
experiment_[experiment_slug]
Security Note: Optimal UX uses experiment slugs instead of full experiment names to ensure data security.
Using Experiment Data in Heap Analytics
Finding Your Experiment Data
Navigate to Heap Analytics
Open the Users section
Click "Add filter"
Look for properties beginning with "experiment_"
You can save it as a segment by choosing "Save as Segment" under "Actions" in the top right corner

Analysis Capabilities
Compare conversion rates between variants
Discover user behavior patterns within experiment groups
Create conversion funnels filtered by experiment participation
Combine experiment data with other user properties
Conclusion
Integrating Optimal UX with Heap Analytics empowers teams to analyze A/B test results within their preferred analytics platform. It takes less than a minute to start sending A/B test results there.
Read more:
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