Mobile Gaming Use Cases/Data ScienceData Scientist

Does the overlap between our player demographic (18-34 male, tier-1 markets) and a prospective IP's fanbase exceed 60%, and can we predict the revenue uplift with confidence intervals narrower than +/-15%?

Model audience overlap between the game's player base and prospective IP license targets to quantify expected synergy before deal execution

Metrics & KPIs

Audience overlap percentagepredicted revenue upliftconfidence interval widthdemographic match score

Required Data

Player demographicsIP fanbase surveyshistorical collab performancemarket data

Data Sources

Data WarehouseTelemetry

Works with tools like

SnowflakeBigQueryRedshiftDatabricksClickHouseMixpanelAmplitudeGameAnalyticsFirebase AnalyticsdeltaDNA

How Bruin answers this

Bruin

Bruin AI Data Analyst

Does the overlap between our player demographic (18-34 male, tier-1 markets) and a prospective IP's fanbase exceed 60%, and can we predict the revenue uplift with confidence intervals narrower than +/-15%?

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

It tracks Audience overlap percentage, predicted revenue uplift, confidence interval width 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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