Has the app store received more than 500 1-star reviews in a 24-hour period (3x normal volume), and can we attribute the trigger to a specific game change or external event?
Detect coordinated negative review campaigns and rapidly attribute the trigger event to enable timely community response and app store appeal
Metrics & KPIs
Required Data
Data Sources
Works with tools like
How Bruin answers this
Bruin AI Data Analyst
Has the app store received more than 500 1-star reviews in a 24-hour period (3x normal volume), and can we attribute the trigger to a specific game change or external event?
Bruin connects to your Support Platform, Data Warehouse, Telemetry and runs the analysis automatically.
It tracks Review volume anomaly score, 1-star review surge rate, attributed trigger event and delivers the answer in seconds, in Slack, Discord, Teams, Google Chat, WhatsApp, Telegram, email, or your browser.
Related use cases
Ticket Volume Spike Attribution After Content Update
Which specific features in the 3.5.0 content update are generating the highest ticket volume and what is the per-feature cost to support?
SupportRefund Request Clustering Around Specific IAP SKUs
Are refund requests for the $19.99 starter pack 6x higher in the first 24 hours after a balance change patch than for other SKUs?
SupportExploit Detection via Abnormal Resource Acquisition Patterns
Which player accounts acquired more than 10x the 99th percentile of in-game currency in a single session without a corresponding spend event?
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.
Get this answer in seconds
Connect your data, ask the question, get the answer. No SQL needed.