See community health before it shows up in a churn report.
Lifecycle Intelligence is GGWP's community and sentiment analytics layer, built on the same signal the moderation engines already generate, aggregated into a picture of how your community is actually doing.
Turns moderation signal into a lifecycle view
Reputation, cross-session behavior and sentiment build up over a player's whole lifecycle. Lifecycle Intelligence aggregates Behavior and Safeguard output into segment and player views, so patterns are visible long before they become churn.
- Dead-end chat analysis that shows where conversations break down
- Feature-window analysis tied to specific features and releases
- Group-type and group-size behavior segmentation
- Drill-down segmentation metadata, not just top-line scores
Turns moderation signal into a lifecycle view
Dead-end chat analysis that shows where conversations break down
Feature-window analysis tied to specific features and releases
Group-type and group-size behavior segmentation
Most bad behavior comes from a small, persistent group
Lifecycle Intelligence quantifies how much harm comes from repeat high-severity users, and how much of it automatic capture catches that player reports alone never surface.
- Identify the cohort driving most negative behavior
- Quantify what auto-detection catches that reports miss
- Give leadership a defensible community-health story
Most bad behavior comes from a small, persistent group
Identify the cohort driving most negative behavior
Quantify what auto-detection catches that reports miss
Give leadership a defensible community-health story
Two coverage models, same incidents.
Reactive reporting and proactive detection see the same community, but not the same volume of harm.
reduction in toxic events when proactive models run alongside reactive filters & reports
typical expansion scope once a customer adds Lifecycle Intelligence
Put a number on your community health.
We'll walk through the segment and cohort views on representative data, and show what proactive detection surfaces that reports never will.