Prove which feature actually causes retention, not just correlates with it

Power users retain better and also use more features - that doesn't mean the feature caused the retention. This puts retention curves for week-1 adopters directly against non-adopters, so the real lift (or lack of one) is visible.

AnalyticsData AnalystSaaSQuick setup1 step1 output

Report

Report produced by this recipe.

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What it does

Plots cohort retention curves side by side for users who adopted a target feature in their first week versus those who didn't, isolating the feature's real retention lift.

You get

a feature-adoption retention lift comparison

How it works

Compare adopters and non adopters

build_retention_report

Two weekly retention curves over 12 weeks: users who clicked the target feature within 7 days of signing up, and users who did not. Shows the gap in percentage points at weeks 1, 4, 8 and 12 and flags a week 4 gap above 15 points.

Produces:Report

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