By outcome · Churn analysis
Churn analysis software that tells you why users leave, not just how many
Most churn analysis stops at a number. You learn that retention slipped two points last quarter, maybe which cohort, but never why those accounts actually walked. Behavior tools show the disengagement curve and feedback tools show the angry tickets, yet the two never meet, so the real reason for the churn stays a guess.
UserInsight joins them. It looks at how at-risk users behave and what they say in tickets, reviews and surveys, then surfaces the themes that actually precede churn, so you can fix causes instead of reacting to cancellations. It also flags accounts showing the same pattern early, while you can still save them. Everything runs on aggregate, consented data with no PII exposed, and each churn driver links to the signals behind it.
Unify · surface the why · traced to evidence
Sample product
Ready to analyze
has signals waiting across usage, tickets and reviews. Surface the insights to see why users churn and what to build next.
Surfacing insights
AnalyzingHeadline insight
← friction step · biggest drop-off
Live, interactive · aggregate sample data
Every insight traced to its source signals · aggregate & consented · no PII exposure
Traced to source evidence
No PII · GDPR-friendly
Why it works
What your team gets with churn analysis
The real reason they left
Churn drivers come from behavior and verbatim feedback together, so you address the cause rather than the cancellation.
Early warning
Accounts showing the same pre-churn pattern are flagged while there is still time to intervene.
Fixable, not fatal
Each driver is specific enough to put on a roadmap, turning churn from a lagging number into a list of things to fix.
What it handles
Unified, analyzed and surfaced, automatically
UserInsight unifies your sources, reads behavior and voice together, and surfaces the churn reasons, feature requests, friction steps and themes, each traced to the signals behind it.
- Identifies the themes that precede churn
- Joins disengagement behavior with customer voice
- Flags at-risk accounts early enough to act
- Segments churn drivers by plan and cohort
- Links every driver to its source signals
Top churn reason
Onboarding stalls before the first project
traced to 214 tickets + a 9% drop-off at onboarding step 3
Why UserInsight
One platform that fuses behavior and voice
Not an analytics tool that only shows the what, not a feedback repository that is blind to behavior. UserInsight joins both and surfaces the why, on aggregate consented data with no PII.
Unifies every source
Usage analytics, tickets, reviews, surveys and in-app feedback come together in one model, so behavior and voice finally live in the same place.
Surfaces the why
You do not write a query and wait. UserInsight tells you why churn moved and what to build next, ranked and quantified, the moment it changes.
Traced to evidence
Every insight links back to the specific tickets, reviews and events behind it, so you can click through and trust what you act on. No black box.
Good questions
Questions about churn analysis
Explore more
More ways teams find the why with UserInsight
Customer experience analytics
See the whole journey, where it breaks, and how people feel about it.
Learn moreFeature request management
Know what to build next, weighted by who is asking.
Learn moreAI user insights platform
The unified layer that joins what users do with what they say.
Learn moreStop guessing. See why users churn and what to build next.
Unify your usage data, feedback, tickets, reviews and surveys, and UserInsight surfaces the why, automatically. Aggregate and consented, with no PII.
Unifies usage, feedback, tickets, reviews and surveys · traced to source · no PII