Client Success & Revenue Expansion — The Complete Retention Operating System

Turn clients into long-term revenue engines. This isn't advice — it's a complete operating system with scoring models, templates, playbooks, and automation patterns that work for any B2B or B2C subscription business.

3,891 stars
Complexity: easy

About this skill

This AI agent skill offers a complete operating system designed to transform clients into long-term revenue engines for any B2B or B2C subscription business. It goes beyond mere advice, providing concrete frameworks including detailed customer health scoring models, actionable templates, strategic playbooks, and automation patterns. The skill guides agents in understanding and implementing robust retention strategies, from initial onboarding to proactive churn prevention and revenue expansion. The core of this system involves establishing a dynamic customer health score, acting as an early warning system to identify at-risk clients before churn occurs. The skill outlines how to build this score using weighted dimensions like usage, engagement, and other critical signals. It also provides guidance on developing intervention playbooks for churn signals, optimizing onboarding flows for stickiness, and strategizing for expansion revenue from existing accounts. Users would leverage this skill to empower an AI agent to design, audit, and execute various aspects of their client success strategy. The agent can interpret the provided models and playbooks to generate tailored recommendations, create necessary documentation, or even suggest automation scripts, effectively acting as a virtual client success consultant powered by a proven methodology.

Best use case

This skill is primarily for business owners, product managers, or client success teams in B2B or B2C subscription models looking to significantly improve customer retention, reduce churn, and maximize lifetime value. It enables an AI agent to act as an expert guide, helping to build, refine, or troubleshoot comprehensive retention and expansion strategies based on a proven, structured operating system.

Turn clients into long-term revenue engines. This isn't advice — it's a complete operating system with scoring models, templates, playbooks, and automation patterns that work for any B2B or B2C subscription business.

A structured, actionable plan or recommendations for improving client retention and expanding revenue, including a defined customer health scoring model and relevant playbooks.

Practical example

Example input

Help me design a retention strategy for my SaaS business. Our current churn rate is 5% monthly, and we want to reduce it to 2%. Focus on the first 90 days of onboarding and identifying churn signals.

Example output

Based on the Complete Retention Operating System, here's a proposed strategy:

**1. Customer Health Score (Phase 1):**
   - Implement a weekly health score (0-100) tracking usage, engagement, and support interactions.
   - **Usage signals:** Login frequency (weight 30), core feature adoption (weight 30), depth of usage (weight 40).
   - **Engagement signals:** Response time to comms (weight 25), QBR attendance (weight 25), proactive outreach (weight 25).
   - **Financial signals:** On-time payments (weight 20), contract length (weight 20).

**2. Onboarding Flow (First 90 Days):**
   - **Week 1:** Guided setup, welcome call, initial success plan.
   - **Week 4:** Feature deep-dive, identify initial ROI points, check-in.
   - **Week 8:** Proactive usage review, identify expansion opportunities.
   - **Churn Signal Intervention:** For low health scores, trigger a specialized playbook including personalized outreach and value demonstration.

When to use this skill

  • Designing or auditing your end-to-end retention strategy.
  • Responding to churn signals with targeted intervention playbooks.
  • Optimizing customer onboarding for long-term engagement.
  • Planning and executing expansion revenue initiatives.

When not to use this skill

  • Generating new leads or acquiring brand-new clients.
  • For businesses focused on one-time product sales with no recurring revenue.
  • If the client relationship is beyond salvageable due to a terrible fit.

Installation

Claude Code / Cursor / Codex

$curl -o ~/.claude/skills/afrexai-client-success/SKILL.md --create-dirs "https://raw.githubusercontent.com/openclaw/skills/main/skills/1kalin/afrexai-client-success/SKILL.md"

Manual Installation

  1. Download SKILL.md from GitHub
  2. Place it in .claude/skills/afrexai-client-success/SKILL.md inside your project
  3. Restart your AI agent — it will auto-discover the skill

How Client Success & Revenue Expansion — The Complete Retention Operating System Compares

Feature / AgentClient Success & Revenue Expansion — The Complete Retention Operating SystemStandard Approach
Platform SupportNot specifiedLimited / Varies
Context Awareness High Baseline
Installation ComplexityeasyN/A

Frequently Asked Questions

What does this skill do?

Turn clients into long-term revenue engines. This isn't advice — it's a complete operating system with scoring models, templates, playbooks, and automation patterns that work for any B2B or B2C subscription business.

How difficult is it to install?

The installation complexity is rated as easy. You can find the installation instructions above.

Where can I find the source code?

You can find the source code on GitHub using the link provided at the top of the page.

Related Guides

SKILL.md Source

# Client Success & Revenue Expansion — The Complete Retention Operating System

Turn clients into long-term revenue engines. This isn't advice — it's a complete operating system with scoring models, templates, playbooks, and automation patterns that work for any B2B or B2C subscription business.

## Use When

- Designing or auditing your retention strategy end-to-end
- A client shows churn signals and you need an intervention playbook
- Building onboarding flows that stick (first 90 days)
- Planning expansion revenue from existing accounts
- Running quarterly business reviews (QBRs)
- Analyzing cohort retention data and identifying drop-off causes
- Creating reactivation campaigns for churned users
- Building a customer health scoring system
- Preventing involuntary churn (payment failures)

## Don't Use When

- Acquiring brand-new clients (use lead generation / outreach skills)
- One-time product sales with zero recurring component
- The client is genuinely a terrible fit — let them go gracefully

---

## Phase 1: Customer Health Score (Your Early Warning System)

Before anything else, build a health score. Without one, you're flying blind — reacting to churn instead of preventing it.

### Health Score Model (0-100)

Score every account weekly. Automate where possible.

```yaml
health_score:
  dimensions:
    usage:
      weight: 30
      signals:
        - login_frequency_vs_baseline: # % of their normal
            90-100%: 10
            70-89%: 7
            50-69%: 4
            below_50%: 1
        - core_feature_adoption: # % of key features used
            4+_features: 10
            3_features: 7
            2_features: 4
            1_or_fewer: 1
        - depth_of_usage: # power user vs surface
            advanced_features: 10
            intermediate: 6
            basic_only: 3
    
    engagement:
      weight: 25
      signals:
        - response_time_to_comms: # avg days to reply
            same_day: 10
            1-2_days: 7
            3-5_days: 4
            5+_days_or_no_reply: 1
        - attends_check_ins: # QBR/call attendance
            always: 10
            usually: 7
            sometimes: 4
            never: 1
        - proactive_requests: # they ask for more
            monthly: 10
            quarterly: 6
            rarely: 3
            never: 1
    
    financial:
      weight: 20
      signals:
        - payment_history: # last 6 months
            always_on_time: 10
            1_late: 7
            2+_late: 3
            failed_payment_unresolved: 0
        - contract_value_trend:
            expanding: 10
            stable: 6
            contracting: 2
        - billing_page_visits: # in last 30 days
            none: 10
            1-2: 6  # curious
            3+: 2   # shopping to leave
    
    relationship:
      weight: 15
      signals:
        - champion_status: # your internal advocate
            strong_champion: 10
            moderate: 6
            weak_or_unknown: 3
            champion_left_company: 0
        - stakeholder_breadth: # contacts you have
            3+_contacts: 10
            2_contacts: 6
            single_threaded: 2
        - sentiment_last_interaction:
            positive: 10
            neutral: 6
            negative: 2
    
    outcome:
      weight: 10
      signals:
        - achieving_stated_goals: # their original objectives
            exceeding: 10
            on_track: 7
            behind: 3
            unclear_goals: 2
        - roi_demonstrated:
            clear_positive_roi: 10
            probable_roi: 6
            unclear: 3
            negative: 0

  risk_tiers:
    healthy: 75-100    # green — nurture & expand
    monitor: 50-74     # yellow — proactive outreach
    at_risk: 25-49     # orange — intervention required
    critical: 0-24     # red — save or graceful exit
```

### Automated Health Alerts

| Score Change | Action |
|---|---|
| Drops 15+ points in one week | Immediate outreach — something changed |
| Enters "at-risk" tier | Trigger save playbook (Phase 5) |
| Enters "critical" | Escalate to founder/CEO within 24 hours |
| Rises to "healthy" from lower tier | Send congratulations + expansion conversation |
| Champion leaves company | Emergency: identify new champion within 48 hours |

---

## Phase 2: Onboarding (Days 0-90) — The Retention Foundation

**20%+ of voluntary churn traces back to poor onboarding** (Recurly). The first 90 days determine the next 900.

### Day-by-Day Onboarding Framework

```yaml
onboarding_playbook:
  day_0:
    - welcome_message: |
        Personal, not templated. Reference their specific goals from the sales process.
        Include: what happens next, timeline, who they'll work with, how to reach you.
    - access_setup: Grant all necessary access, tools, integrations
    - kickoff_call: 30 min — align on goals, success metrics, communication cadence
    - document: Record their stated goals and success criteria in CRM
  
  day_1-3:
    - quick_win: Deliver ONE visible result ASAP
    - examples:
        - SaaS: first workflow automated
        - Agency: first deliverable draft
        - Consulting: first insight or recommendation
    - why: Quick wins create commitment bias — they've now seen value
  
  day_7:
    - check_in_1: |
        "How's everything going? Any questions or blockers?"
        Goal: surface confusion early. Don't wait for them to complain.
    - share_progress: Show what's been done, even if small
  
  day_14:
    - first_result: Share measurable outcome with numbers
    - format: "[Metric] went from [X] to [Y] — here's what that means for you"
    - ask: "Is this aligned with what you expected?"
  
  day_30:
    - milestone_review:
        - Show ROI calculation
        - Confirm success metrics are being hit
        - Discuss next 60 days
        - Introduce expansion possibilities (plant seeds, don't sell)
    - document: Update CRM with 30-day health assessment
  
  day_60:
    - deeper_review:
        - Feature adoption check — are they using everything available?
        - Identify unused capabilities and train on them
        - Stakeholder expansion — meet other team members who should be involved
  
  day_90:
    - graduation:
        - Full QBR format (see Phase 4)
        - Transition from "onboarding" to "ongoing" cadence
        - Set annual goals
        - If health score is green: discuss year 1 roadmap
        - If yellow/orange: intervention before it becomes a habit
```

### Onboarding Scoring Rubric (0-100)

Grade your onboarding process:

| Dimension | Weight | Score 10 | Score 5 | Score 1 |
|---|---|---|---|---|
| Time to first value | 25 | < 3 days | 1-2 weeks | > 2 weeks |
| Client effort required | 20 | Minimal (you do it) | Moderate | Heavy lift |
| Personalization | 15 | Fully customized to goals | Semi-templated | Generic |
| Communication clarity | 15 | Proactive, clear timeline | Reactive | Confusing |
| Quick win delivered | 15 | Measurable result in week 1 | Vague progress | No win |
| Documentation | 10 | Full knowledge base / guide | Basic docs | Nothing |

**Target: 80+.** Below 60 = your onboarding is a churn factory.

---

## Phase 3: Ongoing Value Delivery (Monthly Proof)

Clients don't churn because your service stopped working. They churn because they **forgot it was working.**

### Monthly Value Report Template

```markdown
# [Month] Performance Report — [Client Name]

## Key Metrics
| Metric | This Month | Last Month | Change |
|--------|-----------|------------|--------|
| [Primary KPI] | [value] | [value] | [+/-]% |
| [Secondary KPI] | [value] | [value] | [+/-]% |
| [Tertiary KPI] | [value] | [value] | [+/-]% |

## What We Did
- [Specific action 1 with result]
- [Specific action 2 with result]
- [Optimization or improvement made]

## ROI Summary
- Your investment: $[monthly cost]
- Value delivered: $[quantified value]
- ROI: [X]x return

## What's Next
- [Planned improvement 1]
- [Planned improvement 2]

## Quick Question
[One specific question to keep dialogue open]
```

### Value Report Rules

1. **Send EVERY month without exception** — automate the data pull
2. **Real numbers only** — never vague "things are going well"
3. **Show the trend** — month-over-month shows trajectory
4. **Always end with a question** — keeps communication bidirectional
5. **Highlight one proactive improvement** — shows you're working even when they don't ask
6. **Keep it under 1 page** — executives skim, don't read novels

---

## Phase 4: Quarterly Business Reviews (QBRs)

QBRs are your highest-leverage retention activity. A good QBR simultaneously prevents churn, surfaces expansion, and deepens the relationship.

### QBR Agenda Template (45-60 min)

```yaml
qbr_agenda:
  1_celebrate_wins: # 10 min
    - "Here's what we've accomplished together this quarter"
    - Show 3-5 headline metrics with trends
    - Tie results to their original goals
    - Ask: "Does this match your perception?"
  
  2_deep_dive: # 15 min
    - One area of focus (their choice or your recommendation)
    - Bring analysis they haven't seen
    - Benchmark against industry if possible
    - "Here's what we've learned and what it means"
  
  3_feedback_loop: # 10 min
    - "What's working well?" (reinforce, don't skip this)
    - "What could we do better?" (write it down visibly)
    - "Has anything changed in your business we should know about?"
    - Listen for churn signals (see list below)
  
  4_roadmap: # 10 min
    - What's planned for next quarter
    - Any new capabilities or features relevant to them
    - Tie roadmap items to their stated needs
  
  5_expansion: # 5 min
    - "Based on your growth, here's where we could help more"
    - Present ONE expansion idea (not three — focused)
    - Frame as: "Other clients in your situation have found X valuable"
    - No pressure — plant the seed
  
  6_next_steps: # 5 min
    - Summarize action items (yours and theirs)
    - Confirm next QBR date
    - Send written summary within 24 hours
```

### QBR Scoring (Rate the Account 1-5)

| Dimension | 5 (Excellent) | 3 (Okay) | 1 (Danger) |
|---|---|---|---|
| Goal achievement | Exceeding all goals | Hitting some | Missing most |
| Engagement | Proactive, enthusiastic | Responsive | Disengaged |
| Relationship depth | Multi-threaded, exec sponsor | Single contact | Contact leaving |
| Expansion signals | Asking about more services | Open to discussion | Cutting scope |
| Payment health | Always on time, expanding | Stable | Late, questioning costs |

**Score 20-25:** Expansion candidate — push for upsell
**Score 15-19:** Healthy — maintain cadence
**Score 10-14:** At risk — increase touchpoints
**Score 5-9:** Critical — activate save playbook immediately

---

## Phase 5: Churn Prevention & Save Playbook

### 14 Churn Signals (Ranked by Severity)

| # | Signal | Severity | Response Time |
|---|---|---|---|
| 1 | Data export request | 🔴 Critical | Same day |
| 2 | Asks about cancellation terms | 🔴 Critical | Same day |
| 3 | Champion leaves company | 🔴 Critical | 48 hours |
| 4 | Payment failure (2nd attempt) | 🔴 Critical | Same day |
| 5 | Usage drops 50%+ from baseline | 🟠 High | 3 days |
| 6 | Stops responding to messages | 🟠 High | 1 week |
| 7 | Misses 2+ scheduled check-ins | 🟠 High | 1 week |
| 8 | Competitor mentioned in conversation | 🟡 Medium | Next touchpoint |
| 9 | Budget review announced internally | 🟡 Medium | 1 week |
| 10 | Key stakeholder change | 🟡 Medium | 2 weeks |
| 11 | Asks to reduce scope/tier | 🟡 Medium | Next touchpoint |
| 12 | Support tickets spike then go silent | 🟡 Medium | 1 week |
| 13 | Billing page visits increase | 🟡 Medium | Next touchpoint |
| 14 | Engagement score declining 3 weeks straight | 🟡 Medium | 2 weeks |

### Save Playbook (5 Stages)

```yaml
save_playbook:
  stage_1_detect:
    trigger: Health score enters "at-risk" OR churn signal detected
    action: |
      Internal alert to account owner + manager.
      Pull full account history: usage, payments, last interactions, open issues.
      Prepare value summary (total ROI delivered to date).
  
  stage_2_reach_out:
    timing: Within response time for the signal severity
    approach: |
      Personal, NOT templated. From a human, not "the team."
      "Hi [Name], I noticed [specific observation]. Wanted to check in — 
      is everything going well with [specific thing]?"
      DO NOT: mention churn, be defensive, or offer discounts preemptively.
    channel: Match their preferred channel (email, call, Slack, etc.)
  
  stage_3_listen:
    goal: Understand the real reason, not the surface excuse
    common_real_reasons:
      - "Not seeing value" → ROI not demonstrated clearly enough
      - "Too expensive" → Value perception gap (or genuine budget cut)
      - "Switched to competitor" → Feature/price gap you didn't know about
      - "Champion left" → Relationship wasn't broad enough
      - "Don't use it enough" → Adoption/training gap
      - "Priorities changed" → Their business shifted
    technique: |
      Ask "What would need to change for this to work for you?" 
      NOT "What's wrong?" (defensive) or "What can we do?" (desperate)
  
  stage_4_intervene:
    options_by_reason:
      not_seeing_value:
        - Emergency value review — show ROI with hard numbers
        - Offer dedicated optimization session
        - Set new, measurable goals with 30-day checkpoint
      too_expensive:
        - Tier adjustment (downgrade > cancel)
        - Pause option (1-2 months, hold their data/setup)
        - Annual discount if they commit
        - LAST RESORT: temporary price reduction with expiry
      low_usage:
        - Personalized training session
        - Assign an onboarding buddy
        - Simplify their setup (reduce complexity)
      champion_left:
        - Request intro to successor within 48 hours
        - Prepare "new stakeholder briefing" with full history + ROI
        - Offer fresh kickoff call with new contact
      competitor:
        - Understand specific features/price they're comparing
        - Build competitive comparison (honest, not FUD)
        - If you genuinely can't compete: let them go gracefully
  
  stage_5_outcome:
    saved:
      - Document what worked → update playbook
      - Set 30/60/90 day health checkpoints
      - Address root cause permanently (don't just bandage)
    churned:
      - Exit interview: "What could we have done differently?"
      - Leave door open: "We're here if things change"
      - Add to reactivation pipeline (see Phase 7)
      - Analyze: was this predictable? Update health score model
```

### Pause vs. Cancel Framework

**Always offer pause before accepting cancellation.**

| Scenario | Offer | Terms |
|---|---|---|
| Budget cut (temporary) | Pause 1-3 months | Hold data, hold price, resume anytime |
| Low usage (seasonal) | Downgrade to maintenance tier | Reduced scope, reduced price |
| Team transition | Pause 1 month | Free re-onboarding when new team is ready |
| "Just not a priority" | Pause with monthly check-in | Quick email: "Ready to resume?" |

**Why pauses work:** 40-60% of paused accounts reactivate. 0% of cancelled accounts come back voluntarily.

---

## Phase 6: Expansion Revenue (Grow Without Acquiring)

### The Expansion Playbook

**Top B2B SaaS companies generate 30-50% of new ARR from existing clients.** Expansion is cheaper, faster, and more reliable than acquisition.

### 5 Expansion Triggers

| Trigger | Signal | Approach |
|---|---|---|
| Usage ceiling | Hitting plan limits | "You're growing fast — here's how Scale tier removes the cap" |
| New use case | They mention adjacent problem | "We actually solve that too — want a quick demo?" |
| Team growth | New hires, departments | "Your team grew — want to add seats / expand access?" |
| Success milestone | Hit a big goal | "Congrats on [milestone]! Clients at your stage usually benefit from [X]" |
| Annual renewal | Contract renewal approaching | "Before we renew, let's look at what's changed and what you might need" |

### Pricing Psychology for Expansion

```yaml
expansion_pricing:
  anchor_to_value:
    - "This feature generates $X/month for similar clients"
    - "At your current volume, the upgrade pays for itself in [N] weeks"
  
  bundle_discount:
    - Package 2-3 add-ons at 15-20% less than individual prices
    - "Most clients at your stage add [X] and [Y] together"
  
  annual_commit:
    - 15-20% discount for annual payment
    - Position as: "Lock in this rate before our next price increase"
    - Only offer when health score is green (don't reward at-risk with discounts)
  
  land_and_expand:
    - Start small, prove value, grow scope
    - "Let's pilot this with one team for 30 days, then expand"
    - Lower risk = higher conversion
  
  never_do:
    - Discount to save a churning client (trains them to threaten churn)
    - Bundle everything together (leaves no expansion room)
    - Surprise price increases without added value
```

### Net Revenue Retention (NRR) Calculation

```
NRR = (Starting MRR + Expansion - Contraction - Churn) / Starting MRR × 100

Example:
  Starting MRR: $50,000
  Expansion (upsells): +$8,000
  Contraction (downgrades): -$2,000
  Churn: -$3,000
  
  NRR = ($50,000 + $8,000 - $2,000 - $3,000) / $50,000 × 100 = 106%

Target NRR by segment:
  SMB: 90-100% (some churn is normal)
  Mid-Market: 100-110%
  Enterprise: 110-130%
  Best in class: 130%+ (Snowflake, Twilio at scale)
```

---

## Phase 7: Reactivation (Win-Back Campaigns)

### Reactivation Timing Sequence

```yaml
reactivation_sequence:
  day_7:
    subject: "We saved your setup"
    tone: Soft, no pressure
    message: |
      Hey [Name], your [data/setup/config] is still here. 
      If anything changes, you can pick up right where you left off.
    cta: "Reactivate in one click"
  
  day_30:
    subject: "Here's what you're missing"
    tone: Value-focused
    message: |
      Since you left, we've added [new feature/improvement].
      Clients like you are seeing [specific result].
    cta: "See what's new"
    incentive: None yet
  
  day_60:
    subject: "[Name], quick question"
    tone: Personal, curious
    message: |
      I've been wondering — did you find a solution for [their original problem]?
      If not, I'd love to show you how [specific improvement] addresses 
      exactly what wasn't working before.
    cta: "15-min call"
    incentive: Optional — free month or reduced rate for 3 months
  
  day_90:
    subject: "Last one from me"
    tone: Respectful closure
    message: |
      I won't keep emailing — I know your inbox is busy.
      If you ever want to revisit [problem we solve], we'll be here.
      Your data is saved for another 90 days.
    cta: "Reactivate anytime"
    incentive: Best offer (30% off for 3 months, or free month)
  
  day_180:
    subject: "Your data is expiring"
    tone: Factual, urgency
    message: |
      Your [data/setup] will be deleted in 30 days per our retention policy.
      Want to keep it? Reactivate or export before [date].
    cta: "Save my data" / "Export"
```

### Reactivation Performance Benchmarks

| Metric | Good | Great | Best in Class |
|---|---|---|---|
| Overall win-back rate | 5-10% | 10-15% | 15-25% |
| Day 7-30 reactivation | 3-5% | 5-8% | 8-12% |
| Incentive conversion lift | 2x baseline | 3x | 4x |
| Reactivated client retention (6mo) | 50% | 65% | 80% |

---

## Phase 8: Involuntary Churn Prevention (Payment Recovery)

**30-40% of all churn is involuntary** — failed payments, expired cards, billing errors. This is free revenue you're leaving on the table.

### Payment Recovery Sequence

```yaml
payment_recovery:
  attempt_1_failed:
    action: Retry payment in 24 hours (automatic)
    notification: None (many are temporary holds)
  
  attempt_2_failed:
    action: Retry in 48 hours
    notification: |
      Friendly email: "Heads up — your payment didn't go through. 
      This usually happens when a card expires or has a temporary hold.
      Update your payment method here: [link]"
    tone: Helpful, not threatening
  
  attempt_3_failed:
    action: Retry in 72 hours
    notification: |
      More urgent: "Your account is at risk of interruption. 
      We don't want you to lose access to [specific value they use].
      Takes 30 seconds to update: [link]"
    add: In-app banner if applicable
  
  day_10:
    action: Final retry
    notification: |
      "Last attempt before we pause your account. 
      Your [data/setup/progress] is safe — just update payment to continue."
    escalation: Personal email from account manager for high-value accounts
  
  day_14:
    action: Pause account (don't delete)
    notification: |
      "Your account is paused. Everything is saved.
      Reactivate anytime: [link]"
    retention: Hold data for 90 days minimum
```

### Card Update Optimization

- **Pre-expiry reminder:** Email 30 days before card expires: "Your card ending in [XXXX] expires next month. Update now to avoid interruption."
- **Multiple payment methods:** Allow backup cards
- **Smart retry timing:** Retry on the 1st and 15th (payday alignment)
- **Account updater service:** Use Stripe/processor card updater to auto-refresh expired cards

---

## Phase 9: Segmented Retention Strategies

Different clients need different approaches.

### By Revenue Tier

```yaml
retention_by_tier:
  enterprise: # >$5,000/mo
    cadence: Weekly touchpoint, monthly deep dive, quarterly QBR
    team: Dedicated CSM + executive sponsor
    expansion: Custom solutions, multi-year deals
    save_budget: Up to 25% discount for 6 months
    
  mid_market: # $500-5,000/mo
    cadence: Bi-weekly check-in, quarterly QBR
    team: Shared CSM (1:20 ratio)
    expansion: Tier upgrades, add-on features
    save_budget: Up to 15% discount for 3 months
    
  smb: # <$500/mo
    cadence: Monthly automated report, quarterly email check-in
    team: Tech touch (automated) + pooled support
    expansion: Annual commit discount, referral program
    save_budget: Pause option only (no discounts at this tier)
    
  free_trial:
    cadence: Day 1, 3, 7, 10, 13 (end of trial)
    team: Automated sequences + sales for high-intent
    conversion: Demo offer at day 7, discount at day 12
```

### By Lifecycle Stage

| Stage | Focus | Key Metric | Action |
|---|---|---|---|
| 0-30 days | Activation | Time to first value | Accelerate onboarding |
| 30-90 days | Habit formation | Weekly active usage | Feature discovery |
| 90-180 days | Deepening | Feature breadth | Training, QBR |
| 180-365 days | Expansion | NRR | Upsell conversations |
| 365+ days | Loyalty | Advocacy score | Referral program, case study |

---

## Phase 10: Metrics Dashboard

### Weekly Retention Dashboard

```yaml
weekly_dashboard:
  headline_metrics:
    - gross_churn_rate: "% of MRR lost to cancellations"
    - net_churn_rate: "Gross churn minus expansion revenue"
    - nrr: "Net Revenue Retention — THE number that matters"
    - logo_churn: "% of customers lost (not weighted by revenue)"
  
  health_distribution:
    - healthy_accounts: "[count] ([%]) — $[MRR]"
    - monitor_accounts: "[count] ([%]) — $[MRR]"
    - at_risk_accounts: "[count] ([%]) — $[MRR]"
    - critical_accounts: "[count] ([%]) — $[MRR]"
  
  pipeline:
    - expansion_pipeline: "$[amount] in active upsell conversations"
    - renewals_next_30_days: "[count] accounts, $[MRR] at stake"
    - saves_this_week: "[count] interventions, [count] saved, $[MRR] recovered"
  
  cohort_snapshot:
    - latest_cohort_d30: "[%] — trending [up/down] vs prior cohort"
    - best_cohort: "[month] at [%] — analyze why"
    - worst_cohort: "[month] at [%] — analyze why"
```

### Monthly Executive Summary Template

```markdown
# Retention Report — [Month Year]

## Headline
- NRR: [X]% ([up/down] from [last month]%)
- Gross churn: [X]% ($[amount])
- Expansion: $[amount] ([count] accounts upgraded)
- Net change: [+/-]$[amount] MRR from existing clients

## Wins
- [Specific save story with numbers]
- [Expansion win with numbers]

## Risks
- [X] accounts in critical health ([total MRR at risk])
- Top risk: [Account name] — [reason] — [plan]

## Actions for Next Month
1. [Specific action with owner and deadline]
2. [Specific action with owner and deadline]
```

---

## Retention Benchmarks by Industry

| Industry | Good Monthly Churn | Great | Best in Class |
|---|---|---|---|
| B2B SaaS (SMB) | < 5% | < 3% | < 2% |
| B2B SaaS (Enterprise) | < 2% | < 1% | < 0.5% |
| B2C Subscription | < 7% | < 5% | < 3% |
| Agency / Consulting | < 8% | < 5% | < 3% |
| E-commerce (subscription box) | < 10% | < 7% | < 5% |
| Fitness / Wellness | < 12% | < 8% | < 5% |

---

## 10 Revenue-Killing Retention Mistakes

1. **No health score** — you learn about churn AFTER it happens
2. **Single-threaded relationships** — one contact leaves, you lose the account
3. **Generic onboarding** — same flow for a $100/mo and $10,000/mo client
4. **No monthly value report** — clients forget you exist
5. **Reactive QBRs** — only calling when renewal is due (too late)
6. **Discounting to save** — trains clients to threaten churn for deals
7. **Ignoring involuntary churn** — 30-40% of churn is payment failures you can prevent
8. **No reactivation sequence** — churned clients vanish forever
9. **Treating all churn the same** — voluntary vs involuntary, high-value vs low-value need different playbooks
10. **Measuring logo churn not revenue churn** — losing 10 small accounts is different from losing 1 whale

---

## Natural Language Commands

| Command | What It Does |
|---|---|
| "Score [client name]" | Calculate health score for specific account |
| "Onboarding checklist for [client]" | Generate personalized 90-day onboarding plan |
| "QBR prep for [client]" | Build QBR agenda with their metrics and talking points |
| "Churn risk report" | List all accounts by health tier with recommended actions |
| "Monthly report for [client]" | Generate value report with metrics template |
| "Save playbook for [client]" | Diagnose churn reason and recommend intervention |
| "Expansion opportunities" | List healthy accounts with upsell potential |
| "Reactivation list" | Show churned accounts eligible for win-back |
| "NRR this month" | Calculate net revenue retention |
| "Payment failures" | List accounts with failed payments and recovery status |

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