Mobile Gaming Use Cases/Data ScienceData Scientist

Does playing in parties of 3+ increase per-session IAP spend by more than 50% compared to solo play, after controlling for player tenure and historical spend?

Isolate the causal effect of social play on spending behavior using quasi-experimental methods

Metrics & KPIs

Per-session spend by party sizecausal spend liftconfounding-adjusted effect size

Required Data

Party size dataIAP transactionssession logsplayer tenurehistorical spend

Data Sources

Data WarehouseMonetizationTelemetry

Works with tools like

SnowflakeBigQueryRedshiftDatabricksClickHouseRevenueCatStripeGoogle Play ConsoleApp Store ConnectMixpanelAmplitudeGameAnalyticsFirebase AnalyticsdeltaDNA

How Bruin answers this

Bruin

Bruin AI Data Analyst

Does playing in parties of 3+ increase per-session IAP spend by more than 50% compared to solo play, after controlling for player tenure and historical spend?

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

It tracks Per-session spend by party size, causal spend lift, confounding-adjusted effect size and delivers the answer in seconds, in Slack, Discord, Teams, Google Chat, WhatsApp, Telegram, email, or your browser.

Bruin for mobile gaming

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

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

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