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Wiki/Analytics & Metrics/Retention Metrics
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Retention Metrics

Analytics & Metrics

Definition

Retention metrics measure the percentage of users who return to an app within a defined period after first install, commonly tracked at Day 1 (D1), Day 7 (D7), and Day 30 (D30).

Why It Matters for ASO

Retention metrics directly influence store ranking algorithms and recommendation systems. Apps with higher retention signal quality to app stores, improving organic visibility and featured placement eligibility. Strong retention drives positive reviews and reduces uninstalls—both significant ranking factors. For ASO practitioners, retention creates a feedback loop: refined metadata and creative attract qualified users, improving retention, which boosts rankings and discoverability.

Key Points

  • D1 Retention reveals onboarding quality and alignment between store messaging and user expectations; sharp drop-offs indicate UX friction or positioning mismatches
  • D7/D30 Retention measure core gameplay stickiness; gradual decline indicates healthy engagement, while steep drops suggest feature or retention-loop problems
  • Cohort analysis by source, geography, and user segment identifies which acquisition channels and demographics drive strongest long-term engagement
  • Store algorithm weight means retention improvements of 5-10% can meaningfully boost ranking velocity, impressions, and organic install growth

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