How do you categorize and score churn types (product, price, competitor, organizational)?
Churn Taxonomy and Scoring
Not all churn is equal. A product-churn customer (found better tool) requires different playbook than organizational churn (buyer left; no successor). Pavilion's churn analysis of 1,200+ SaaS companies identified these primary categories and their recoverability.
Churn Type Taxonomy
| Churn Type | % of Total | Recovery Rate | Root Cause |
|---|---|---|---|
| Product | 28% | 15% | Unmet feature need, too complex |
| Price | 22% | 42% | Budget constraint, ROI not shown |
| Competitive | 24% | 8% | Cheaper/better alternative found |
| Organizational | 16% | 31% | Buyer departed; budget reallocated |
| Technical | 10% | 35% | Integration failures, data issues |
Diagnostic Framework
Determine type via post-churn survey (≥90% response rate if incentivized). Key questions:
- "Did the product meet your needs?" (Y=Price/Org churn, N=Product churn)
- "Did you switch to a competitor?" (Y=Competitive churn)
- "Did decision-maker change?" (Y=Organizational churn)
- "Any technical issues?" (Y=Technical churn)
Scoring & Win-Back Priority
Score each type 1–100 to prioritize win-back spend:
- Price churn: 65 points (highest ROI on discounts or annual payment plans)
- Technical churn: 60 points (fixable; re-engage with integration support)
- Organizational churn: 45 points (try new buyer contact if you find one)
- Product churn: 25 points (only worth pursuing if you shipped features they wanted)
- Competitive churn: 15 points (rarely recoverable; focus on learning)
Post-Churn Recovery Plays
Price: "We matched your budget to $X/year. Let's talk." Success: 32% reactivation within 6 months.
Organizational: Contact replacement buyer (via LinkedIn or known exec network). Success: 27% reactivation.
Technical: Root-cause analysis + dedicated engineering review + 30-day trial restart. Success: 41% reactivation.
Product/Competitive: Skip win-back; focus on learning. Allocate resources to acquisition instead.
TAGS: churn-taxonomy,customer-segmentation,win-back-strategy,retention-playbook,saas-retention,customer-classification