The Analytics of Growth Hacking
summary
Describes building an analytics pipeline that ties acquisition to deep product behavior: installs extended anonymous web logging and a modified cookie to join pre-signup activity to users, runs nightly ETL in Python over Hadoop/Pig using Facebook’s scribe, and writes an activation table used for segmentation. Handles ~80,000 signups a day. Uses Kissmetrics/GA for surface charts, backs hypotheses with cohort lifts from content experiments, and reports higher activation and longer retention after shipping targeted content and recommendation features.
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chapters (10)
- 0:00Introduction
- 2:50Software measurement challenges
- 5:37Analytics metaphors
- 12:05User data quadrants
- 20:55Building analytics stack
- 26:31Prezi growth hacking
- 32:32ETL in analytics
- 35:04Product-market fit measurement
- 37:54ChartCube value
- 39:40Q&A
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