What percentage of players in the top 5% of LTV have an unresolved support ticket older than 48 hours and what is their 30-day churn risk?
Prioritize VIP ticket resolution by correlating unresolved ticket age with churn probability for high-LTV players to protect revenue retention
Metrics & KPIs
Required Data
Data Sources
Works with tools like
How Bruin answers this
Bruin AI Data Analyst
What percentage of players in the top 5% of LTV have an unresolved support ticket older than 48 hours and what is their 30-day churn risk?
Bruin connects to your Data Warehouse, Monetization, Support Platform and runs the analysis automatically.
It tracks VIP unresolved ticket rate, VIP churn rate post-ticket age threshold, revenue at risk from VIP churn and delivers the answer in seconds — in Slack, Discord, Teams, 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
350+ 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.