Engagement and churn monitoring requires manually gathering member activity from multiple sources, scoring risk inconsistently, and drafting personalized outreach. This fragmented approach delays intervention and misses at-risk members.
Automation consolidates activity data, applies consistent scoring rules, and generates personalized re-engagement messages automatically. the team reviews alerts and focuses on relationship-building rather than data compilation.
The full workflow, from trigger to completion.
Automation triggers each morning to pull the latest member activity data and.
Fetch login frequency, email engagement, event attendance, and course progress for all active members into a unified dataset.
Apply a consistent scoring algorithm based on activity thresholds (e.g., no login in 14 days, zero email opens in 30 days, missed last 2 events) to assign each member a risk level.
Branch based on whether the member's churn risk score exceeds the high-risk threshold.
Use member profile data to draft a contextual re-engagement email referencing their specific activity gap (e.g., missing events, low email engagement).
Deliver the personalized message and tag the member as contacted.
Record the outreach attempt, timestamp, and risk score for audit and follow-up tracking.
Send a summary message to the team channel listing high-risk members flagged today and outreach actions taken.
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