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Correlation vs Causation in Growth Campaigns

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Problem

Business Context

FitPulse, a subscription fitness app, noticed that users who received more push notifications tended to have higher 30-day retention. The growth team wants to know whether notifications caused the retention lift or whether the relationship is only correlational.

Problem Statement

You are given observational data split by user engagement segment. At the aggregate level, users who received notifications appear to retain better. Determine whether that alone supports a causal claim, and quantify the difference between the naive aggregate conclusion and the segment-adjusted conclusion.

Given Data

SegmentNotification Group UsersRetained in Notification GroupNo-Notification UsersRetained in No-Notification Group
High engagement8,0005,6002,0001,500
Low engagement2,0004008,0001,200

Additional information:

MetricValue
Significance level0.05
Total notification users10,000
Total no-notification users10,000

Requirements

  1. Compute the aggregate 30-day retention rate for notification vs no-notification users.
  2. Test whether the aggregate difference is statistically significant using a two-proportion z-test.
  3. Compute retention rates within each engagement segment.
  4. Explain why the aggregate relationship does not imply causation.
  5. Estimate the notification effect after adjusting for engagement segment using a weighted average of within-segment differences.
  6. State the business conclusion: should FitPulse claim notifications caused retention to improve?

Assumptions

  • Retention is measured consistently across all users.
  • Engagement segment is a pre-existing confounder known before notifications were sent.
  • This is observational data, not a randomized experiment.
  • Ignore other confounders beyond engagement for this exercise.