About This Article
"I want to know which customers are likely to accept upsells" "I want to identify highly loyal customers for special treatment"
Setting up post-customer scoring helps you never miss opportunities for LTV (Customer Lifetime Value) expansion.
Customer Scoring Purpose
While lead scoring measures "likelihood to become a customer," customer scoring measures "potential for further value creation."
What Customer Scores Reveal
| Metric | Score Judgment | Action |
|---|---|---|
| Upsell Potential | Interest in additional features | Premium plan offer |
| Cross-sell Potential | Interest in related services | Related service offer |
| Loyalty | Continued use, satisfaction | VIP treatment, referral request |
| Churn Risk | Declining usage, dissatisfaction signs | Retention initiatives |
Score Design
Positive Score (Loyalty/Upsell Tendency)
| Behavior/Status | Points | Meaning |
|---|---|---|
| Weekly product usage | +5/week | Well adopted |
| Started using new feature | +10 | Active utilization |
| Support inquiry (satisfied resolution) | +5 | Trust building |
| Advanced feature page view | +8 | Upsell interest |
| Referral program participation | +20 | High loyalty |
| NPS 9-10 response | +15 | Promoter |
| Contract renewal | +20 | Continuation intent |
Negative Score (Churn Risk)
| Behavior/Status | Points | Meaning |
|---|---|---|
| No login for 30 days | -10 | Usage decline |
| Support inquiry (unresolved) | -5 | Accumulating dissatisfaction |
| Cancellation page view | -20 | Considering cancellation |
| NPS 0-6 response | -15 | Detractor |
| Payment failure (2+ times) | -10 | Continuation risk |
Identifying Upsell Potential
Upsell Behavior Patterns
| Pattern | Score Condition | Points |
|---|---|---|
| Approaching feature limits | Usage at 80% of plan limit | +15 |
| Interest in premium features | Enterprise feature page view | +10 |
| Team expansion | Additional user request | +12 |
| Advanced usage | API usage started | +8 |
Early Churn Risk Detection
Detect risk customer
Slack + Retention follow-up task
Follow-up call within 24 hours / Usage status hearing / Support enhancement if needed
Score-Based Segments
| Segment | Score Condition | Initiative |
|---|---|---|
| Upsell Candidate | Score 80+ with high upsell score | Premium plan offer |
| Loyal Customer | Score 70+ for 6 months | Referral program invitation |
| At-Risk Customer | Score 30-50 | Usage promotion emails |
| Risk Customer | Score below 30 | Direct CSM follow-up |
Effectiveness Measurement
| KPI | Measurement Method | Target Example |
|---|---|---|
| Upsell Rate | High score customer upsell rate | 30%+ |
| Churn Rate | Low score customer churn rate | Prediction accuracy 80%+ |
| NPS | NPS distribution by score | High score customers NPS 50+ |
| LTV | Customer LTV by score | High score customers 1.5x average |
Summary
- Separate design from lead score: Different metrics matter at customer stage
- Utilize usage data: Reflect product usage in scores
- Analyze upsell patterns: Identify common patterns from past cases
- Early churn detection: Set alerts for low scores
- Segment integration: Execute initiatives based on scores
Use customer scoring to maximize LTV and reduce churn rate.