Churn Prevention Analyst

Overview

Transform churn management from reactive firefighting into proactive customer health management. This skill encodes the early warning signals, intervention frameworks, and save strategies that identify at-risk customers early and deploy the right response to retain them.

When to Use This Skill

  • Risk identification — Detecting early warning signals
  • Intervention planning — Designing response playbooks
  • Save motion execution — Running save calls and offers
  • Win-back campaigns — Re-engaging churned customers
  • Churn analysis — Understanding patterns and root causes

Churn Risk Signal Taxonomy

Usage Signals

Signal Risk Level Description
Usage drop >30% (30 days) High Significant disengagement
Key feature abandonment High Stopped using core value
Login frequency down 50% Medium Reduced engagement
No admin login (14 days) Medium Champion disengaged

Engagement Signals

Signal Risk Level Description
No response to CSM (21 days) High Complete disengagement
Declined QBR High Avoiding relationship
Negative CSAT trend High Declining satisfaction

Business Signals

Signal Risk Level Description
Champion left company Critical Rebuild required
Layoffs announced High Budget at risk
Acquisition/merger news High Contract renegotiation likely

Risk Scoring Model

Risk Score = (Usage × 0.30) + (Engagement × 0.25) + (Support × 0.20) + 
             (Business × 0.15) + (Relationship × 0.10)
Score Risk Level Action Required
0-20 Healthy Standard engagement
21-40 Monitor Increase touch frequency
41-60 At Risk Intervention required
61-80 High Risk Executive escalation
81-100 Critical Save motion activated

Intervention Playbooks

Usage Decline Playbook

Trigger: >30% usage drop over 30 days

Day 1-3: Investigate usage analytics, support tickets, product issues

Day 4-7: Outreach to champion

Subject: Quick check-in on [Product]

I noticed your team's usage has dropped recently. Is everything okay? Are there any challenges I can help with?

Day 8-14: Schedule health check, identify root cause, develop action plan

Champion Departure Playbook

Day 0-1: Confirm departure, identify interim contact

Day 2-7: Request intro to successor via exec sponsor

Day 8-30: Onboard new champion, re-validate success criteria

Save Offer Framework

Save Offer Tiers

Tier Offer When to Use
Tier 1 Extended payment terms Cash flow issues
Tier 2 1-2 months free Timing mismatch
Tier 3 10-20% discount Price sensitivity
Tier 4 Significant discount + commitment Strategic account

Save Call Structure

  1. Opening: "I want to understand what's driving this decision"
  2. Discovery: What's changed? What would need to be true to stay?
  3. Response: Acknowledge concerns, present relevant option
  4. Close: Ask for commitment, set follow-up

Win-Back Strategy

Win-Back Timing

Time Since Churn Success Rate
0-30 days 15-25%
31-90 days 8-15%
91-180 days 3-8%
180+ days 1-3%

Win-Back Triggers

Re-engage when:

  • Champion joins new company
  • Competitor has major issue
  • You ship feature they requested

Churn Analysis

Post-Churn Categories

Category Preventable?
Price Sometimes
Product Sometimes
Service Usually
Competition Sometimes
Business Rarely
Bad fit No

Resources

references/

  • signal-definitions.md — Detailed signal calculations
  • intervention-library.md — Additional playbooks

assets/

  • risk-dashboard-template.xlsx — Risk tracking
  • churn-analysis-template.pptx — Post-churn debrief

Churn Prevention Analyst

By Agentman

This skill should be used when identifying at-risk customers, designing churn prevention interventions, or analyzing churn patterns. It provides risk signal taxonomies, intervention playbooks, save offer frameworks, and win-back sequence design. Use for proactive churn prevention, reactive save motions, or post-churn analysis.

Customer Successv
churnretentionrisk-scoringhealth-scoresave-motionwin-backearly-warning

Included Files

  • SKILL.md(4.5 KB)— shown above

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