Analyze Customer Feedback for Retention Drivers in Minutes
Upload or paste your customer feedback → uncover the themes, moments, and experiences that make users stay or churn
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"Once I actually finished the setup and connected my data, I never looked back. That first week made all the difference for me."
"They reached out before I even realized there was an issue. That kind of attention is why I've renewed three years in a row."
"At first it felt like a lot, but six months in I'm using things I didn't know existed. It keeps getting more valuable the longer I stay."
"Whenever I'm frustrated I go into the community and someone always has an answer. That's honestly what keeps me from canceling."
What teams usually miss
Most teams focus on why users leave rather than systematically identifying the specific experiences, features, or interactions that caused loyal customers to stay.
Interview transcripts, open-ended survey responses, and review text contain the richest retention intelligence, but they sit unread because manual analysis doesn't scale.
Without analyzing feedback at scale, teams miss the fact that different user cohorts stay for entirely different reasons, making retention strategies generic and less effective.
Decisions you can make from this
Prioritize onboarding improvements for the specific steps most frequently cited by long-term retained customers as their turning-point moment.
Double down on the two or three features your most loyal users describe as "irreplaceable" and highlight them earlier in the customer journey.
Redesign your customer success outreach cadence around the friction points that retained users say almost caused them to cancel but didn't.
Build retention-focused messaging and renewal campaigns around the exact language and outcomes your happiest long-term customers use to describe value.