Quality and frequency control for push notifications

Q: Quality and frequency control for push notifications

This question evaluates skills in analytics and experimentation, specifically notification quality metric design, detection of user fatigue versus re‑engagement, causal and observational analysis of opt‑outs/uninstalls, and algorithmic design for per‑user caps.

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Question

Push Notifications: Quality, Overload Mitigation, and Per‑User Caps

Context

You are a data scientist working on push notifications for a consumer app. Pushes increase re‑engagement but can cause fatigue that drives opt‑outs and uninstalls. Answer the following:

What metrics should you use to gauge notification quality?
Users complain about too many pushes—how would you improve the system?
Design a daily per‑user push cap algorithm that maximizes opens while avoiding uninstalls/opt‑outs.

Assume you have standard notification logs (send, deliver, open timestamps), app session logs, opt‑out/uninstall events, user features (timezone, locale, activity), and content metadata.

Quality and frequency control for push notifications

Push Notifications: Quality, Overload Mitigation, and Per‑User Caps

Context

Solution

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Quality and frequency control for push notifications

Overview

Push Notifications: Quality, Overload Mitigation, and Per‑User Caps

Context

Solution

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