Mobile Gaming Use Cases/ExecutiveC-Level

Is the average 12-month LTV of new players declining year-over-year and is the decline attributable to monetization weakness or retention degradation?

Decompose the LTV trend into retention and ARPDAU components to correctly attribute performance changes and prioritize the right strategic response

Metrics & KPIs

LTV trend by annual cohortLTV component decomposition (retention vs ARPDAU)YoY LTV change ratestrategic driver attribution

Required Data

Annual cohort LTV dataD30/D90/D180 retention by cohortARPDAU by cohortannual acquisition volume

Data Sources

MMPData WarehouseMonetization

Works with tools like

AppsFlyerAdjustSingularBranchKochavaSnowflakeBigQueryRedshiftDatabricksClickHouseRevenueCatStripeGoogle Play ConsoleApp Store Connect

How Bruin answers this

Bruin

Bruin AI Data Analyst

Is the average 12-month LTV of new players declining year-over-year and is the decline attributable to monetization weakness or retention degradation?

Bruin connects to your MMP, Data Warehouse, Monetization and runs the analysis automatically.

It tracks LTV trend by annual cohort, LTV component decomposition (retention vs ARPDAU), YoY LTV change rate and delivers the answer in seconds — in Slack, Discord, Teams, or your browser.

Bruin for mobile gaming

350+ use cases across every team in your studio — from monetisation to LiveOps, product to engineering. One AI that speaks your data.

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