Mobile Gaming Use Cases/Data ScienceData Scientist

Does a 2-push-per-day cap outperform a 4-push-per-day cap in 30-day net revenue per user by more than 5%, accounting for both engagement uplift and opt-out reduction?

Run controlled experiments on push frequency cap levels to find the revenue-maximizing cap that balances engagement with fatigue

Metrics & KPIs

Net revenue per user by capopt-out rate by capengagement ratestatistical significance

Required Data

A/B test assignmentspush countsrevenue per useropt-out eventsengagement data

Data Sources

A/B TestingCRM PlatformData Warehouse

Works with tools like

OptimizelyFirebase Remote ConfigLaunchDarklySplit.ioBrazeCleverTapOneSignalLeanplumAirshipSnowflakeBigQueryRedshiftDatabricksClickHouse

How Bruin answers this

Bruin

Bruin AI Data Analyst

Does a 2-push-per-day cap outperform a 4-push-per-day cap in 30-day net revenue per user by more than 5%, accounting for both engagement uplift and opt-out reduction?

Bruin connects to your A/B Testing, CRM Platform, Data Warehouse and runs the analysis automatically.

It tracks Net revenue per user by cap, opt-out rate by cap, engagement rate 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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