Block · product
Retention Curve
Average weekly retention across cohorts as a decay curve, with the standout cohort surfaced in a plain-language narrative. Reuses the cohort-stats engine.
State
Size
Mode
Product retention curves
32%
Week 7 retention · 6 cohorts
Cohort Jun 2026 showing 69.0% D7 retention — 5 pts above baseline.
Analytics engine · updated hourly
Demo data is illustrative. Replace with your own typed data prop.
How it computes
Average retention per week across cohorts — a cohort grid collapsed to a single curve.
meanₘ = Σ_cohorts retention[c][w] / (# valid cohorts at week w)Assumptions
- Week 0 is trivially ~1.0 and excluded from best/worst comparisons.
- Cohorts not yet aged to a given week are treated as missing, not zero.
- Each cohort's contribution is unweighted by size.
Honest about
- Sparse younger cohorts still contribute to the weekly mean with no age-weighting, so late weeks rest on fewer cohorts.
- Any week with zero valid observations returns 0 rather than NaN.
- Best/worst cohorts are judged on weeks > 0 to avoid the trivial week-0 tie.