Mobile Gaming Use Cases/ExecutiveC-Level

Did the core loop redesign shipped in v4.0 improve D30 retention by the projected 8% and which player segments drove the largest retention movement?

Measure D30 retention lift from the core loop redesign by segment to validate the product hypothesis and identify where the redesign succeeded or underperformed

Metrics & KPIs

D30 retention delta vs projectionsegment-level retention movementcore loop change attribution confidencefeature contribution decomposition

Required Data

D30 retention cohorts pre/post v4.0player segment definitionsfeature change logsession telemetry

Data Sources

Data WarehouseTelemetry

Works with tools like

SnowflakeBigQueryRedshiftDatabricksClickHouseMixpanelAmplitudeGameAnalyticsFirebase AnalyticsdeltaDNA

How Bruin answers this

Bruin

Bruin AI Data Analyst

Did the core loop redesign shipped in v4.0 improve D30 retention by the projected 8% and which player segments drove the largest retention movement?

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

It tracks D30 retention delta vs projection, segment-level retention movement, core loop change attribution confidence and delivers the answer in seconds — in Slack, Discord, Teams, or your browser.

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Ads Monetization ManagerC-LevelCRM / Lifecycle ManagerData ScientistEconomy DesignerEngineeringFinance / FP&AGame DesignerLiveOps ManagerPlayer Support / CommunityProduct ManagerQA EngineerUA Manager

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