Mobile Gaming Use Cases/Product AnalyticsProduct Manager

Do players who lose a match against an opponent rated 300+ Elo points higher have a 40%+ probability of ending their session immediately, compared to 15% after close matches?

Quantify how unfair matches drive session termination to set maximum acceptable skill gaps

Metrics & KPIs

Session continuation rate by Elo gapsession end probability after lossacceptable gap threshold

Required Data

Match resultsElo gap datapost-match session continuation events

Data Sources

TelemetryData Warehouse

Works with tools like

MixpanelAmplitudeGameAnalyticsFirebase AnalyticsdeltaDNASnowflakeBigQueryRedshiftDatabricksClickHouse

How Bruin answers this

Bruin

Bruin AI Data Analyst

Do players who lose a match against an opponent rated 300+ Elo points higher have a 40%+ probability of ending their session immediately, compared to 15% after close matches?

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

It tracks Session continuation rate by Elo gap, session end probability after loss, acceptable gap threshold 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.

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