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Push Convert experiment names and variation names into Amplitude so you can analyze A/B tests in your product analytics environment

The Convert + Amplitude integration allows you to stream experiment and variation details into Amplitude as custom events. This lets you view your testing data alongside all your product metrics (funnels, retention, segmentation) without switching platforms. 

When a user is bucketed into a Convert experiment, the integration can trigger an event like Convert with properties such as Exp_Name and Var_Name. You can then build dashboards and charts in Amplitude that break down user behavior by variation. 

That means your product, growth, and analytics teams don’t have to look at Convert reports in isolation—they can layer experiment metadata onto all their existing analyses.

Key Capabilities

  • Emits a custom event (e.g. “Convert”) in Amplitude with properties: experiment name, variation name 
  • Works for any page where Convert experiments are running (client-side) 
  • You can then filter, segment, and break out Amplitude charts by variation (e.g. funnels, retention)
  • Integrates seamlessly—no large engineering rework, just event wiring
  • Enables deeper cross-analysis: combine experiment buckets with user cohorts, feature usage, and lifecycle metrics

Benefits

  • View A/B test performance in the same environment as your product data—no context switching
  • Correlate variant assignment with downstream behaviors (retention, feature use, monetization)
  • Make experiment analysis more actionable by tying it into product metrics
  • Simplify your analytics stack: one source of truth for experiment and usage data
  • Increase cross-team adoption (product, growth, data) of testing insights

Convert and Amplitude

Amplitude is a powerful product analytics platform that enables you to build better products by tracking and understanding user behavior… answering what happened, why it happened, and which actions to take next.

Use Cases

Tie experiment assignment to long-term behavior

Problem: You know a variant drove more conversions, but you don’t know whether it impacted retention or feature use. Solution: Send experiment + variation data into Amplitude and break out behavior metrics by variation. Outcome: You see which variant led to more engaged, retained users—beyond just immediate conversions.

Segment variant impact by user cohort

Problem: You suspect a variant performs differently for new users vs. power users. Solution: In Amplitude, filter or segment events + behavior metrics by variation and user cohorts. Outcome: You uncover whether a variant’s uplift is consistent or if it’s driven by a particular subgroup.

Validate experiment changes against product metrics

Problem: A variant wins on conversion, but might degrade feature adoption or usage. Solution: Compare key feature/in-app events by variation in Amplitude. Outcome: You ensure that your winning variant doesn’t negatively affect long-term product metrics.

Bucket users early and track downstream paths

Problem: You want to see what paths users take after being exposed to a variant. Solution: Use the experiment metadata event to start analyses (paths, funnels) from variant assignment. Outcome: You gain insight into how variant exposure influences user journeys, drop-offs, and successes.

Combine experiment data with full analytics stack

Problem: Your analyses are siloed—experiment insights live in Convert, product data in Amplitude. Solution: Bring them together via this integration. Outcome: A unified view: experiment, user behavior, and product outcomes in one place.

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