MemberChurn: Community Retention Risk Predictor
AI dashboard that flags at-risk members in online communities (Discord, Slack, Mighty Networks) based on engagement decay patterns, sending automated re-engagement campaigns before they leave.
The Problem
Community managers have no early warning system for member churn—they notice people are gone only after they've already left. Without predictive signals, retention is reactive and expensive. Most members who churn show clear disengagement signals weeks in advance that go unnoticed.
Target Audience
Online community managers running paid Discord communities, Slack communities, Mighty Networks, or Circle.so—especially those with 500-5000 members where manual tracking is impossible but each member has real lifetime value.
Why Now?
Paid community platforms (Circle, Mighty Networks) have exploded as a creator economy revenue model, but retention remains unsolved. Community managers are desperate for proactive retention tools and willing to pay for them.
What's Missing
Platform dashboards focus on vanity metrics (total members, posts) not behavioral risk scoring. Existing tools require custom Zapier workflows or manual spreadsheets—no plug-and-play churn early warning system exists.
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