Real ChatGPT answer · index seedHW2MNE3S8DocompleteMarketing and advertising · web analyticsinformational
How do I properly read day-seven and day-thirty retention curves in my analytics tool to judge product-market fit for my new digital product?
Download run
Fan-out diagram
The searches the AI actually ran for this prompt.
SEED QUERY
How do I properly read day-seven and day-thirty retention curves in my analytics tool to judge product-market fit for my new digital product?
1 real search · 1 real-search pass
product market fit retention curves day 7 day 30 cohort retention benchmarks definition exact rolling retention amplitude mixpanelGoogle ↗
OBSERVEDOther / navigational
Badge and edge weight = share of passes that produced the query. Hover a query for its intent and routing format.
Query classes
Google's semantic query class for every sub-query: what kind of answer each search is after, simulated vs real.
ChatGPT real searches (1)
Classes come from the query-classifier (a local Laya model). 1 of 1 calls are low-confidence (under 50%) — hover a query in the table to see its confidence.
Searches and sources
ChatGPT1 real searches · gpt-6
product market fit retention curves day 7 day 30 cohort retention benchmarks definition exact rolling retention amplitude mixpanel Google ↗
- Interpret your retention analysis · amplitude.com
- Interpret your retention analysis · amplitude.com
- CHAPTER 03 The Retention Lifecycle Framework · info.amplitude.com
- New user retention · amplitude.com
- The Retention Lifecycle Framework · amplitude.com
- The Complete Guide to Cohort Analysis · amplitude.com
- The Complete Guide to Cohort Analysis · amplitude.com