Comprehensive framework for customer success, retention, and lifetime value maximization.
Quick Reference
Situation
Use This Skill For
Designing onboarding flows
Onboarding Excellence
Reducing churn
Churn Prevention & Recovery
Building health monitoring
Health Score Models
Improving LTV
Retention & Ascension
Cancel flow optimization
Cancel Flow Design
Payment failures
Dunning & Recovery
Part 1: Core Principles
Time to Value Is Everything
The faster users get value, the more likely they stick. Measure and optimize time to first value moment. Remove every obstacle between signup and aha moment.
Proactive Beats Reactive
Reach out before problems escalate. Health scores predict churn before it happens. Intervention when metrics dip is worth 10x intervention after cancellation request.
Segment for Relevance
Not all customers are the same. High-touch for enterprise, tech-touch for SMB, self-serve for individuals. Match effort to customer value and needs.
Measure Leading Indicators
Revenue is a lagging indicator. Track: engagement, feature adoption, support tickets, NPS changes.
Make Expansion Natural
Upselling should feel like helping, not selling. When customers outgrow their tier, expansion is a solution.
Part 2: Customer Onboarding Design
Onboarding Workflow
Map customer goals and success criteria
Define key milestones and timeline
Create onboarding checklist
Design enablement content
Set up automated touchpoints
Define handoff from sales
Measure time-to-value
Activation Milestones
Milestone
Target Time
D30 Retention Impact
Account created
T+0
Baseline
Profile complete
T+5 min
+8%
First core action
T+24 hr
+15%
First value experience
T+3 days
+25%
3-day active streak
T+7 days
+35%
Onboarding Patterns
Approach
Best For
Risk
Product-first
Simple products, B2C
Blank slate overwhelm
Guided setup
Products needing personalization
Friction before value
Value-first
Products with demo data
May not feel "real"
Part 3: Health Scoring
Customer Health Score (100 points)
Dimension
Weight
Signals
Usage frequency
25%
DAU/MAU ratio, sessions, last login
Feature depth
20%
Feature adoption %, core feature use
Engagement
20%
Time on app, actions per session
Satisfaction
15%
NPS, CSAT, support sentiment
Growth
10%
Seat additions, plan upgrades
Relationship
10%
Community participation, referrals
Health Score Thresholds
Score
Status
Action
80-100
Healthy
Upsell opportunities
60-79
Stable
Monitor
40-59
At Risk
Automated intervention
0-39
Critical
Human outreach
Churn Risk Scoring
Level
Score
Action
Low
0-29
Continue normal engagement
Medium
30-49
Automated re-engagement
High
50-69
Personalized intervention
Critical
70+
Human outreach (call/email)
Part 4: Churn Prevention
Churn Types & Solutions
Type
Cause
Solution
Voluntary
Customer chooses to cancel
Cancel flows, save offers, exit surveys
Involuntary
Payment fails
Dunning emails, smart retries, card updaters
Voluntary churn is typically 50-70% of total. Involuntary is 30-50% but easier to fix.
Risk Signals
Signal
Risk Level
Timeframe
Login frequency drops 50%+
High
2-4 weeks before cancel
Key feature usage stops
High
1-3 weeks before cancel
Support tickets spike then stop
High
1-2 weeks before cancel
Billing page visits increase
High
Days before cancel
Team seats removed
High
1-2 weeks before cancel
Data export initiated
Critical
Days before cancel
NPS score drops below 6
Medium
1-3 months before cancel
Proactive Interventions
Trigger
Intervention
Usage drop >50% for 2 weeks
"We noticed you haven't used [feature]. Need help?" email