Which leading indicators predict renewal churn before the renewal conversation starts?

Question

Pulse RevOps · The Machine · Accepted Answer

## The Churn Index: 6 Predictive Signals

Churn doesn't surprise—it telegraphs. **Pavilion's renewal prediction model** identifies six signals that forecast churn **60+ days early**:

### Signal 1: Usage Decline (Strongest)
- **-30% YoY** login frequency or monthly active users
- **-25% YoY** feature adoption (tracks in product telemetry)
- **When**: Detect by month 7-8 of contract year
- **Accuracy**: **78%** churn prediction rate when paired with other signals

### Signal 2: Expansion Stall
- Zero expansion purchase requests in 6+ months
- No new seat purchases despite company growth
- **Implication**: Product doesn't fit new use cases; customer sees it as old tech
- **Paired with Usage Decline**: **83%** churn probability

### Signal 3: Executive Disengagement
- No exec sponsor contact in **90+ days**
- Original buyer left the company; replacement hasn't engaged
- **Red flag**: CFO or VP asks to see competitor RFPs (Gong signal)
- **SaaStr data**: Budget holder departure = **42% churn lift**

### Signal 4: Support Ticket Spike (Inverted Signal)
- **2.5× increase** in support volume (indicates pain, not adoption)
- Repeated tickets on same issue (product debt, not user error)
- **vs. Feature Requests**: Feature requests indicate engagement
- **Interpretation**: High tickets + low feature requests = frustration, not growth

### Signal 5: Buyer's Role Shift
- Original buyer gets promoted or demoted out of procurement
- New gatekeeper asks for cost justification (vs. strategic review)
- **CSM red flag**: "New budget holder wants to talk pricing"
- **Win rate on save**: **34%** (hard to reverse once buyer is gone)

### Signal 6: Product Roadmap Gaps
- Customer asks for feature; told **"Not on roadmap"** > 2 times
- Competitor gains feature customer needs; you don't
- **By month 9**: Gives customer 3-month window to test competitor

### Predictive Scoring Table

| Signal | Weight | Churn Probability When Active | Detection Point |
|---|---|---|---|
| Usage -30% YoY | 25% | +42% | Month 7-8 |
| Expansion stall (6mo) | 20% | +35% | Month 6 |
| Exec disengagement (90d) | 20% | +38% | Month 8-9 |
| Support spike (2.5×) | 15% | +28% | Ongoing |
| Buyer role shift | 12% | +48% | Immediate |
| Roadmap rejection (2×) | 8% | +18% | Month 5+ |

**Bridge Group finding**: Accounts with **3+ signals present** churn at **71% rate**; **1 signal** = **18% churn**. The compounding effect is sharp.

```mermaid
stateDiagram-v2
    [*] --> Healthy
    Healthy --> AtRisk: Usage -30%
    Healthy --> AtRisk: Expansion Stall
    Healthy --> AtRisk: Exec Disengagement
    AtRisk --> HighRisk: Support Spike
    AtRisk --> HighRisk: Buyer Role Shift
    HighRisk --> Critical: 3+ Signals
    Critical --> Churn: No intervention
    AtRisk --> Healthy: CSM Engagement
    HighRisk --> AtRisk: Expansion Win
    Critical --> HighRisk: Save Play Success
```

TAGS: churn-prediction,renewal-leading-indicators,early-warning,usage-analytics,account-health

Signal	Weight	Churn Probability When Active	Detection Point
Usage -30% YoY	25%	+42%	Month 7-8
Expansion stall (6mo)	20%	+35%	Month 6
Exec disengagement (90d)	20%	+38%	Month 8-9
Support spike (2.5×)	15%	+28%	Ongoing
Buyer role shift	12%	+48%	Immediate
Roadmap rejection (2×)	8%	+18%	Month 5+

Which leading indicators predict renewal churn before the renewal conversation starts?

The Churn Index: 6 Predictive Signals

Signal 1: Usage Decline (Strongest)

Signal 2: Expansion Stall

Signal 3: Executive Disengagement

Signal 4: Support Ticket Spike (Inverted Signal)

Signal 5: Buyer's Role Shift

Signal 6: Product Roadmap Gaps

Predictive Scoring Table

What does the score mean?