1. Revenue movement
Revenue movement
Revenue drops rarely explain themselves. A release, a checkout change, a slow screen, or a confusing path can move gross revenue, transaction count, active users, and retention at the same time.
Revenue recovery
Product Analytics For Revenue Leaks
Link gross revenue drops directly to failed checkouts and releases. Recover leaked carts with replay evidence.
Install alongside your existing analytics and evaluate it with real sessions before committing.
5,000 sessions freeNo credit cardGDPR compliant
Lightweight SDKsPrivacy maskingHosted in Germany
Verified customer result
103% sales increase
Burst Creatine
Replay evidence exposed conversion friction in a revenue-critical journey so the team could fix the proven failure first.
From signal to answer
Growth metrics are easier to repair when they keep their sessions
2. Release markers
Release markers
Rejourney keeps the revenue view close to session evidence, so growth teams can move from a metric change to the user behavior and product state that likely caused it.
3. Session context
Session context
That makes growth work less about dashboard watching and more about recovery: identify the movement, inspect the sessions, prioritize the leak, and confirm the fix.
Unmatched Speed & Footprint
SDK PACKAGE SIZE3.9X Smaller
Minified Package Payload
61.2 kBRejourney
238.6 kBPostHog
BundlePhobia MetricVerify metrics
DATA UPLOAD VOLUME3.0X Less Data
Session Upload Payload (KiB/min)
12.4 KiBRejourney
37.8 KiBPostHog
Main Thread: 12.4 msEvidence report
Keep exploring
Continue with the most relevant next step.
FAQ
Questions, answered.
How does Rejourney connect revenue to sessions?
It keeps revenue and product metrics near replay, journey, and issue evidence so teams can inspect the sessions behind a movement instead of stopping at the chart.
Can growth teams use this without engineering?
Yes. Growth teams can identify affected flows and users, then bring engineering a bounded issue with replay evidence when a fix is needed.
What metrics are useful for recovery?
Revenue trend, transaction count, active users, retention, release markers, affected segments, and matching sessions are the most useful starting points.
Start with a real product
Turn product behavior into an answer.
Start free with 5,000 monthly sessions, unlimited analytics events, and no credit card.