Mobile Gaming Use Cases/Data ScienceData Scientist

Does a deep learning LTV model outperform gradient boosting after feature engineering on our dataset?

Benchmark XGBoost LightGBM and MLP models on identical holdout sets with consistent features

Metrics & KPIs

RMSEMAER-squaredinference latencymodel calibration

Required Data

player feature matrixLTV labelsholdout splitshyperparameter search logs

Data Sources

TelemetryA/B TestingMonetization

Works with tools like

MixpanelAmplitudeGameAnalyticsFirebase AnalyticsdeltaDNAOptimizelyFirebase Remote ConfigLaunchDarklySplit.ioRevenueCatStripeGoogle Play ConsoleApp Store Connect

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Does a deep learning LTV model outperform gradient boosting after feature engineering on our dataset?

Bruin connects to your Telemetry, A/B Testing, Monetization and runs the analysis automatically.

It tracks RMSE, MAE, R-squared and delivers the answer in seconds, in Slack, Discord, Teams, Google Chat, WhatsApp, Telegram, email, or your browser.

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