We don't know why people leave**

Insight

Churn is rarely about one bad experience-it's about a broken story. People leave when the perceived value of staying no longer outweighs the effort, noise, or alternatives. Most teams focus on what users did before they left, not what changed in their perception of value. That's why churn analysis often leads to surface-level fixes-price cuts, reminders, new features-without addressing the real emotional or functional drop-off. The deeper issue is that most companies measure behavior without context. Analytics can show friction, but not meaning. Exit surveys capture excuses, not truth. Until you combine quantitative signals with qualitative insight-what users felt, not just what they did-you'll keep treating symptoms instead of causes. People don't leave randomly. They leave patterns you haven't decoded yet.

How Velocity Approaches It

We turn churn into a diagnostic system. Velocity maps the full user journey to detect early signals of disengagement-changes in behavior, frequency, or emotional tone. Then we blend quantitative data with qualitative insights from real user patterns to uncover the underlying "why." From there, we align product, marketing, and lifecycle communication around retention drivers that matter-reinforcing the value moments users actually care about. Instead of reacting to churn, we predict and prevent it. If you're tired of losing users without answers, we'll help you see the story behind every exit.