What it does
Scores churn risk into four tiers using behavioral signals. Low-risk gets value content. Medium gets personalized nudges. High-risk triggers a CSM task. Critical gets handed to an agent and an exec sponsor.
You get
4-tier churn scoring
tier-specific journey paths
CSM alerts
exec escalation triggers
retention dashboard
How it works
Build Churn-Risk AI Attribute
create_ai_attributeCreate an AI-derived attribute
Identify Tiered Risk Cohorts
Create SegmentBuild a parent segment
Build Tier Content Variants
Generate ContentGenerate per-tier email content. Medium tier: educational content matched to underutilized features that drive retention in their cohort + personalized
Build In-App Save Content
create_page_contentGenerate in-app messages for high-tier users when they DO log in (rare and precious moments). Format: contextual banner referencing their most-likely-success-path (
Build Retention Recommendation Surface
create_recommendationConfigure a recommendation surface specifically for high+critical tier users: surfaces underutilized features that THIS user
Build Tiered Churn Journey
Create JourneyBuild a tiered journey wired to the churn-risk segment. Branch on churn_risk tier at entry AND re-evaluate weekly: LOW tier — light-touch nurture email at Day 7 (no urgency, just value content). MEDIUM tier — Touch 1 email Day 0 (helpful tip), Touch 2 in-app at next login (deep-link to retention feature), Touch 3 email Day 7 with recommendation surface highlighting cohort-success features. HIGH tier — Touch 1 email Day 0 from CSM with offer of help, in-app urgent banner on next session, CSM task created same-day. CRITICAL tier — within 4 hours: founder/CEO personal email + agent handoff offering 1:1 call + urgent CSM task + executive-sponsor task. Tier RECOMPUTED weekly — users de-escalate (engagement returned) exit gracefully; users escalate get tier-appropriate next-touch. Exit on: churn_risk drops below 30 for 14+ days (recovered — log retention_win), subscription_canceled (handoff to post-cancel-winback), or unsubscribe.
Build Tiered-Churn Dashboard
Build DashboardCompose a tiered churn intervention dashboard: distribution of users across tiers (low/medium/high/critical) per week — leading indicator of book-of-business health, tier-level save rate (% of users in each tier who exit risk vs. churn — proves tiered strategy works), critical-tier CSM response SLA (target: <4hr for human-touch start), ARR-weighted save value by tier, and tier-migration tracking (high → medium = success, medium → high = early warning). Compare model accuracy: predicted churn vs. actual churn at 30/60/90 days.
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