Design mobile app analytics tracking plan
app-analyticsskillsetup L2★1,242
Eronred/aso-skills ↗What it does
Design mobile app analytics tracking plan and interpret app performance data
Best for
Mobile teams who need structured metrics frameworks to answer business questions (retention/LTV/churn) rather than raw dashboards.
Inputs
- · app type (fitness/productivity/social/finance/games)
- · analytics tools in use (Firebase/Mixpanel/Amplitude)
- · top 3 business questions about app
- · revenue model (F2P/IAP/subscription)
Outputs
- · event tracking plan (core events: onboarding/core action/monetization/engagement)
- · funnel definitions by user journey
- · metrics framework (acquisition/engagement/retention/revenue)
- · cohort analysis template
- · benchmark comparison
Requires
- · Firebase Analytics
- · Mixpanel or Amplitude (optional)
- · App Store Connect
- · RevenueCat (if subscriptions)
- · Adjust or AppsFlyer (if paid UA)
Preconditions
- · activation event clearly defined
- · analytics tool already configured
Failure modes
- · tracks vanity metrics (daily active users) instead of LTV signals
- · missing attribution setup for paid acquisition channels
- · funnel definitions too wide (doesn't isolate drop-off)
- · doesn't segment by cohort/source/device
- · no churn measurement for subscriptions
Trust signals
- · app-type-specific metrics (fitness activation = first workout, social = first connection)
- · Day 1/7/30 retention benchmarks by app type
- · ARPU/ARPPU/LTV calculation formulas
- · core event templates (onboarding + monetization + engagement)
- · funnel structure by app type