customer-success-and-retention

name	customer-success-and-retention
description	Comprehensive customer success and retention expertise combining onboarding, health scoring, churn prevention, retention strategies, and LTV maximization. Use when designing customer onboarding flows, reducing churn, building health scores, creating retention systems, designing upsells, or improving customer lifetime value. Covers proactive engagement, cancel flows, dunning, re-engagement, and the full customer lifecycle.
metadata	{"version":"1.0.0","merged_from":["customer-success-manager","customer-success","churn-prevention","retain","retention-engine"]}

Customer Success & Retention

Workspace Context

Read bootstrap context before asking questions: strategy/brand.md for brand, audience, offer, channels, tools, constraints, and metrics; about/me.md for personal voice; content/ideas.md and content/calendar.md for content planning. Use legacy product-marketing context files only as fallback. Save generated drafts to content/<platform>/drafts/YYYY-MM-DD_short-topic-slug.md, and route durable learnings back to strategy/brand.md, about/me.md, or content/ideas.md.

Operating Contract

This skill is self-contained for its frontmatter scope: use its local instructions, references, scripts, and assets as the playbook; ask only for missing task-specific inputs; hand off to adjacent skills instead of expanding scope; and return an actionable artifact, decision, plan, draft, or diagnostic.

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

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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.

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Part 2: Customer Onboarding Design

Onboarding Workflow

1. Map customer goals and success criteria
2. Define key milestones and timeline
3. Create onboarding checklist
4. Design enablement content
5. Set up automated touchpoints
6. Define handoff from sales
7. 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"

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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)

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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
Approaching plan limit	Upgrade nudge
No login for 14 days	Re-engagement email with product updates
NPS detractor (0-6)	Personal follow-up within 24 hours

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Part 5: Cancel Flow Design

The Cancel Flow Structure

Trigger → Survey → Dynamic Offer → Confirmation → Post-Cancel

Exit Survey Design

Reason	What It Tells You
Too expensive	Price sensitivity, may respond to discount
Not using it enough	Low engagement, may respond to pause/onboarding
Missing a feature	Product gap, show roadmap
Switching to competitor	Competitive pressure
Technical issues	Product quality, escalate to support
Temporary / seasonal	Usage pattern, offer pause

Save Offer Mapping

Cancel Reason	Primary Offer	Fallback Offer
Too expensive	Discount (20-30% for 2-3 months)	Downgrade
Not using	Pause (1-3 months)	Free onboarding
Missing feature	Roadmap preview	Workaround guide
Competitor	Competitive comparison + discount	Feedback session
Technical issues	Escalate to support	Credit + priority fix

Save Offer Types

• Discount: 20-30% for 2-3 months (avoid 50%+)
• Pause: 1-3 months max, 60-80% eventually return
• Downgrade: Show what they keep vs. lose
• Feature unlock: Extend trial of higher tier
• Personal outreach: For high-value accounts

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Part 6: Involuntary Churn (Dunning)

The Dunning Stack

Pre-dunning → Smart retry → Dunning emails → Grace period → Hard cancel

Pre-Dunning (Prevent Failures)

• Card expiry alerts: 30, 15, 7 days before
• Backup payment method prompt at signup
• Card updater services (Visa/MC auto-update)
• Pre-billing notification for annual plans

Smart Retry Logic

Decline Type	Retry Strategy
Soft decline	Retry 3-5 times over 7-10 days
Hard decline	Don't retry — ask for new card
Authentication required	Send customer to update payment

Dunning Email Sequence

Email	Timing	Content
1	Day 0	"Your payment didn't go through. Update your card."
2	Day 3	"Quick reminder — update your payment."
3	Day 7	"Your account will be paused in 3 days."
4	Day 10	"Last chance to keep your account active."

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Part 7: Re-engagement & Retention

Re-engagement Triggers

Trigger	Condition	Channel	Max Frequency
Early dormancy	3-7 days inactive	Push	4×/month
Mid dormancy	7-14 days inactive	Email	2×/month
Onboarding drop	Incomplete onboarding	Email	3×/month
Feature discovery	Unused high-value feature	In-app	1×/month
Streak at risk	Streak expires in 6 hours	Push	As needed

Habit Formation (Hook Model)

Phase	Goal	Examples
Trigger	Create the cue	Push notifications, email digest
Action	Minimum viable behavior	One-click action, simple daily task
Variable Reward	Unpredictable value	Social recognition, progress unlocks
Investment	User commits something	Profile data, settings, connections

Gamification Elements

• Badge rarity: Common → Rare → Epic → Legendary
• Progress levels: 5 levels with XP ranges
• Streak systems: 7-day → 30-day → 100-day → 365-day

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Part 8: LTV Maximization

The LTV Equation

LTV = (Average Revenue Per Customer × Average Customer Lifespan) - CAC

To maximize LTV:

• INCREASE Revenue Per Customer (upsells, cross-sells)
• INCREASE Customer Lifespan (reduce churn)
• DECREASE CAC (get referrals)

Ascension Ladder

Level 1: Entry Offer → Solves first problem
    ↓
Level 2: Core Offer → Deeper solution
    ↓
Level 3: Premium Offer → Advanced/faster results
    ↓
Level 4: Done-For-You → They pay you to do it
    ↓
Level 5: Ongoing Relationship → Retainer/subscription

Retention Levers

1. Onboarding Excellence — Get them a win in first 24-48 hours
2. Engagement Systems — Keep them using regularly
3. Success Milestones — Make progress visible and celebrated
4. Community/Connection — Create belonging
5. Ascension Triggers — Move to next level at right time

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Part 9: Metrics & Measurement

Key Metrics

Metric	Formula	Target
Monthly churn rate	Churned / Start-of-month	<5% B2C, <2% B2B
Revenue churn (net)	(Lost MRR - Expansion) / Start MRR	Negative
Cancel flow save rate	Saved / Total cancel sessions	25-35%
Dunning recovery rate	Recovered / Total failures	50-60%
Time to cancel	Days from signal to cancel	Track trend

Cohort Analysis

Segment by:

• Acquisition channel
• Plan type
• Tenure
• Cancel reason
• Save offer type

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Part 10: Segmentation Strategy

Customer Segment Approach

├── Enterprise (high-touch)
│   ├── Dedicated CSM
│   ├── Custom success plans
│   └── Executive sponsors
├── Mid-market (mid-touch)
│   ├── Pooled CSM model
│   ├── Templated playbooks
│   └── Regular check-ins
└── SMB (tech-touch)
    ├── Automated journeys
    ├── Self-service resources
    └── Trigger-based outreach

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Common Mistakes

1. No cancel flow — Even simple survey + offer saves 10-15%
2. Same offer for every reason — Match offer to reason
3. Discounts too deep — 50%+ trains customers to cancel-for-deals
4. Ignoring involuntary churn — Often 30-50% of total
5. No dunning emails — Letting payment failures silently cancel
6. Guilt-trip copy — Damages brand trust
7. Pausing too long — Beyond 3 months rarely reactivates

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Related Skills

• marketing-automation: For onboarding and win-back sequences
• conversion-rate-optimization: For in-app upgrade moments
• pricing-strategy: For plan structure
• user-onboarding: For activation optimization
• data-and-funnel-analytics: For churn signal events