Mobile Gaming Use Cases/Data ScienceData Scientist

How confident can we be in our LTV model given that we can't observe all the factors driving player spending?

Apply Rosenbaum bounds and E-value analysis to quantify robustness of LTV estimates

Metrics & KPIs

E-valueRosenbaum boundssensitivity curvesminimum confounder strength

Required Data

LTV model predictionsobserved covariatessensitivity parameters

Data Sources

Data WarehouseMonetization

Works with tools like

SnowflakeBigQueryRedshiftDatabricksClickHouseRevenueCatStripeGoogle Play ConsoleApp Store Connect

How Bruin answers this

Bruin

Bruin AI Data Analyst

How confident can we be in our LTV model given that we can't observe all the factors driving player spending?

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

It tracks E-value, Rosenbaum bounds, sensitivity curves and delivers the answer in seconds — in Slack, Discord, Teams, or your browser.

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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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