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COHORT HEALTH · RETURN CURVE

App Retained Users

Map a same-cohort retention curve across D1, D7, D14 and D30, then estimate how many original installers are active at a selected age.

COHORT HEALTH · RETURN CURVE

See where the cohort thins out.

COHORT SCENARIO● LOCAL
modeled retained usersScenario curve · no benchmark applied
INSTALL COHORT10,000people · same starting group
D1D7D14D30
3,500Day 1 return1,500Day 7 return900Day 14 return500Day 30 return
EST. ACTIVE ON DAY 71,500

15.0% modeled retention at day 7. The curve is linearly interpolated between the four cohort checkpoints; values past day 30 hold at the Day 30 rate.

Day 13,500 · 35.0%
Day 71,500 · 15.0%
Day 14900 · 9.0%
Day 30500 · 5.0%
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Follow one install cohort over time

Keep the denominator fixed at the original cohort size. Retention checkpoints estimate how many of those people were active again on each selected day.

Not active by D309,500Change D1 → D3030 ptsDay you selectedD7

Enter observed rates for one install cohort using the same denominator at every age. The selected day is linearly interpolated between checkpoints; after D30, this model holds the D30 rate flat. It is a planning estimate, not a measured value.

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How this app works

Map a same-cohort retention curve across D1, D7, D14 and D30, then estimate how many original installers are active at a selected age. Results update as you edit inputs; the formula and source link are shown beside the estimate.