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customer-success-and-retention 标准

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.

在 GitHub 打开

安装方式

cp -r skills/customer-success-and-retention ~/.claude/skills/customer-success-and-retention

把该 skill 目录放进客户端 skills 目录。不同客户端的目录可能不同,Claude Code 默认是 ~/.claude/skills/

整仓一次性获取:git clone --depth 1 https://github.com/manojbajaj95/claude-gtm-plugin.git

依赖与权限

  • 无需 API Key
  • 无需联网
  • 依赖外部命令:go make
  • 以上为按正文与 frontmatter 自动推断的信号,仅供参考;安装前建议先阅读原文。
触发场景
reducing churnbuilding health scorescreating rete

SKILL.md 正文

来源 manojbajaj95/claude-gtm-plugin@0830a46 · 许可 MIT · 内容未修改

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

SituationUse This Skill For
Designing onboarding flowsOnboarding Excellence
Reducing churnChurn Prevention & Recovery
Building health monitoringHealth Score Models
Improving LTVRetention & Ascension
Cancel flow optimizationCancel Flow Design
Payment failuresDunning & 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

  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

MilestoneTarget TimeD30 Retention Impact
Account createdT+0Baseline
Profile completeT+5 min+8%
First core actionT+24 hr+15%
First value experienceT+3 days+25%
3-day active streakT+7 days+35%

Onboarding Patterns

ApproachBest ForRisk
Product-firstSimple products, B2CBlank slate overwhelm
Guided setupProducts needing personalizationFriction before value
Value-firstProducts with demo dataMay not feel "real"

Part 3: Health Scoring

Customer Health Score (100 points)

DimensionWeightSignals
Usage frequency25%DAU/MAU ratio, sessions, last login
Feature depth20%Feature adoption %, core feature use
Engagement20%Time on app, actions per session
Satisfaction15%NPS, CSAT, support sentiment
Growth10%Seat additions, plan upgrades
Relationship10%Community participation, referrals

Health Score Thresholds

ScoreStatusAction
80-100HealthyUpsell opportunities
60-79StableMonitor
40-59At RiskAutomated intervention
0-39CriticalHuman outreach

Churn Risk Scoring

LevelScoreAction
Low0-29Continue normal engagement
Medium30-49Automated re-engagement
High50-69Personalized intervention
Critical70+Human outreach (call/email)

Part 4: Churn Prevention

Churn Types & Solutions

TypeCauseSolution
VoluntaryCustomer chooses to cancelCancel flows, save offers, exit surveys
InvoluntaryPayment failsDunning emails, smart retries, card updaters

Voluntary churn is typically 50-70% of total. Involuntary is 30-50% but easier to fix.

Risk Signals

SignalRisk LevelTimeframe
Login frequency drops 50%+High2-4 weeks before cancel
Key feature usage stopsHigh1-3 weeks before cancel
Support tickets spike then stopHigh1-2 weeks before cancel
Billing page visits increaseHighDays before cancel
Team seats removedHigh1-2 weeks before cancel
Data export initiatedCriticalDays before cancel
NPS score drops below 6Medium1-3 months before cancel

Proactive Interventions

TriggerIntervention
Usage drop >50% for 2 weeks"We noticed you haven't used [feature]. Need help?" email
Approaching plan limitUpgrade nudge
No login for 14 daysRe-engagement email with product updates
NPS detractor (0-6)Personal follow-up within 24 hours

Part 5: Cancel Flow Design

The Cancel Flow Structure

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

Exit Survey Design

ReasonWhat It Tells You
Too expensivePrice sensitivity, may respond to discount
Not using it enoughLow engagement, may respond to pause/onboarding
Missing a featureProduct gap, show roadmap
Switching to competitorCompetitive pressure
Technical issuesProduct quality, escalate to support
Temporary / seasonalUsage pattern, offer pause

Save Offer Mapping

Cancel ReasonPrimary OfferFallback Offer
Too expensiveDiscount (20-30% for 2-3 months)Downgrade
Not usingPause (1-3 months)Free onboarding
Missing featureRoadmap previewWorkaround guide
CompetitorCompetitive comparison + discountFeedback session
Technical issuesEscalate to supportCredit + 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

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 TypeRetry Strategy
Soft declineRetry 3-5 times over 7-10 days
Hard declineDon't retry — ask for new card
Authentication requiredSend customer to update payment

Dunning Email Sequence

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

Part 7: Re-engagement & Retention

Re-engagement Triggers

TriggerConditionChannelMax Frequency
Early dormancy3-7 days inactivePush4×/month
Mid dormancy7-14 days inactiveEmail2×/month
Onboarding dropIncomplete onboardingEmail3×/month
Feature discoveryUnused high-value featureIn-app1×/month
Streak at riskStreak expires in 6 hoursPushAs needed

Habit Formation (Hook Model)

PhaseGoalExamples
TriggerCreate the cuePush notifications, email digest
ActionMinimum viable behaviorOne-click action, simple daily task
Variable RewardUnpredictable valueSocial recognition, progress unlocks
InvestmentUser commits somethingProfile 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

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

Part 9: Metrics & Measurement

Key Metrics

MetricFormulaTarget
Monthly churn rateChurned / Start-of-month<5% B2C, <2% B2B
Revenue churn (net)(Lost MRR - Expansion) / Start MRRNegative
Cancel flow save rateSaved / Total cancel sessions25-35%
Dunning recovery rateRecovered / Total failures50-60%
Time to cancelDays from signal to cancelTrack trend

Cohort Analysis

Segment by:

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

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

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

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

质量与来源

所属仓库
manojbajaj95/claude-gtm-plugin
仓库星标
106
最近更新
25 天前
采集时间
今天
commit
0830a46f4cfb
内容指纹
sha256:88a0efb9b12fc76
文件路径
skills/customer-success-and-retention/SKILL.md

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