Mobile App Analyticsv1.0.0

A subscription-based meditation app wants to understand why users churn after the free trial. The skill analyzes D1, D7, and D30 retention cohorts segmented by acquisition source (organic vs paid ads) to identify which user groups have the lowest LTV:CAC ratios and recommends funnel optimizations.

An e-commerce mobile app experiences high cart abandonment. Using Firebase Analytics, the skill tracks the complete_purchase funnel from view_product to tap_button_checkout, comparing iOS and Android platforms to identify where platform-specific UI issues cause drop-offs.

A mobile game developer needs to boost in-app purchase revenue. The skill analyzes ARPU by user tier (free vs paid), segments by install cohort to see if recent updates improved monetization, and compares crash-free rates between platforms to ensure technical issues don't block purchases.

A news publisher's app sees declining DAU/MAU ratios. The skill sets up alerts for engagement drops >10% week-over-week, analyzes session length by user demographics (without PII), and uses cohort analysis to determine if new features increase retention among recent installs.

A fitness app running paid user acquisition campaigns needs to optimize ad spend. The skill compares 30-day attribution windows for subscription conversions across App Store Connect and Play Console, identifying which acquisition sources deliver users with the highest D30 retention rates.

Apps offering free basic features with premium upgrades or virtual goods for purchase. This skill prioritizes revenue metrics like LTV and conversion rates, while tracking retention to ensure free users eventually convert to paying customers through optimized funnels.

Apps charging recurring fees for ongoing access to content or services. The skill focuses heavily on cohort retention analysis (D1, D7, D30) and LTV:CAC ratios, using 30-day attribution windows to accurately track subscription conversions from acquisition campaigns.

Completely free apps monetizing through display ads, video ads, or native advertising. This skill emphasizes engagement metrics like DAU/MAU and session length to maximize ad impressions, while monitoring retention to maintain a valuable user base for advertisers.