How to measure user retention?
summary
Blinkist adds a free trial and sees a 50% conversion lift, but retention drops dramatically. Engineering builds tracking for time spent on content as a North Star metric, then finds it biases toward longer items and lacks validated correlation with renewal. Analytics team is running a cohort analysis comparing time-spent versus frequency as proxy for habit to predict long-term renewal. Conclusion: treat the North Star metric as experimental and iterate it with BI.
AI-written summary · about
chapters (7)
- 0:00Intro
- 0:50How Blinkist started
- 1:15The Soft Pay Law
- 1:42User Retention
- 2:08What do we do
- 2:41Finding a metric
- 6:07Closing statement
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