Mobile Game Analytics Dashboard: 10 Core Metrics for Growth Teams
Many dashboards hold dozens of convoluted charts without answering the fundamental questions: why are players churning and where is revenue dropping? 10 actionable metrics and alert thresholds.

In this article⌄
An effective mobile game analytics dashboard is not a dumping ground for every trackable metric. Its operational goal is to enable Product Managers and UA Leads to assess within 60 seconds: how traffic, player quality, and in-app monetization are shifting this week, and exactly who owns the required action.

Pillar 1: Acquisition & Top-Funnel Quality
- 1. Blended eCPI (Effective CPI): The actual blended cost per install factoring in both paid campaigns and downstream organic lift.
- 2. Tutorial Completion Rate (Activation): Percentage of installers completing the opening tutorial. If this drops below 65%, onboarding friction is the culprit rather than ad targeting.
- 3. Day 1 Retention (D1): The initial user satisfaction proxy. Casual benchmarks target D1 > 35%, while mid-core/hardcore games require D1 > 40%.
Pillar 2: In-Game Engagement & Product Health
- 4. Day 7 & Day 30 Retention (D7/D30): Measures core loop resonance, guild dynamics, and liveops event sustainability.
- 5. DAU/MAU Stickiness Ratio: The definitive game habit metric. A ratio above 20% indicates players treat logging in as a daily routine.
- 6. Crash & ANR Rate: Technical error rate per 1,000 sessions. Google Play's bad behavior threshold is > 0.47% (risking algorithmic ASO deranking).

Pillar 3: Monetization & Revenue Telemetry
- 7. First-Time Payer Conversion (%): The share of players converting into spenders. Starter packs ($0.99) are specifically engineered to optimize this metric.
- 8. ARPPU (Average Revenue Per Paying User): Average spend among paying players, crucial for segmenting VIP whales and core dolphins.
- 9. Cumulative ROAS D7 / D30 / D90: Cumulative return on ad spend tracked over 7, 30, and 90-day intervals post-install.
- 10. LTV Realization vs. CAC: Lifetime Value to Customer Acquisition Cost ratio. Maintaining a benchmark above 3.0x ensures healthy unit economics.
Data never makes decisions on its own. An exceptional dashboard acts as an early radar, triggering immediate intervention the moment a metric drifts outside safe thresholds.
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