AGENT SKILLBY THATREBECCARAE
Retention churn prevention
AT A GLANCE
Retention churn prevention is a growth agent skill from thatrebeccarae. Analyze churn, predict at-risk customers, and design retention strategies. The thatrebeccarae/claude-marketing repository on GitHub has 67 stars and the MIT license. It is also listed under go-to-market. To add it, run npx skills add thatrebeccarae/claude-marketing --skill retention-churn-prevention
- SOURCE REPOSITORY
- thatrebeccarae/claude-marketing (opens GitHub in a new tab)
- REPO STARS
- SOURCE REPOSITORY
- LICENSE
- MIT
- SKILL.MD SIZE
- 5.5 KB151 LINES
QUICK ANSWER
- WHAT IT IS01
- Analyze churn, predict at-risk customers, and design retention strategies. What sets it apart is how it narrows go-to-market work into one specific workflow rather than a broad, generic prompt.
- INPUTS02
- Context for go-to-market work: your goals, audience, constraints, and any source material the skill asks for.
- OUTPUT03
- A ready-to-use result for go-to-market work: the analysis, copy, or recommendations the agent produces.
INSTALL
One command adds this skill from its source repository.
npx skills add thatrebeccarae/claude-marketing --skill retention-churn-preventionREAD THE SKILL.MD BELOW BEFORE YOU RUN IT. SKILLS INSTRUCT YOUR AGENT.
SKILL.MD
The full file, as published in the source repository. Copy it, download it or open it on GitHub.
ON THIS PAGE · 16
Retention & Churn Prevention#
Analyze churn, predict at-risk customers, and design retention strategies.
Install#
git clone https://github.com/thatrebeccarae/claude-marketing.git && cp -r claude-marketing/skills/retention-churn-prevention ~/.claude/skills/Churn Analysis Framework#
Churn Types#
| Type | Definition | Signal |
|---|---|---|
| Voluntary | Customer actively cancels | Cancellation request, downgrade |
| Involuntary | Payment failure, card expiry | Failed charge, dunning |
| Silent | Stops using but does not cancel | Usage decline, no logins |
Churn Rate Calculation#
Monthly churn rate = Customers lost / Customers at start of month
Annual churn rate = 1 - (1 - monthly rate)^12
Net revenue retention = (Start MRR + Expansion - Contraction - Churn) / Start MRRBenchmarks#
| Metric | Excellent | Good | Concerning |
|---|---|---|---|
| Monthly churn (SaaS) | <1% | 1-2% | >3% |
| Annual churn (SaaS) | <5% | 5-10% | >15% |
| Net revenue retention | >120% | 100-120% | <100% |
Customer Health Scoring#
| Signal | Weight | Healthy | At Risk |
|---|---|---|---|
| Product usage | 25% | Daily/weekly | Monthly or less |
| Feature adoption | 20% | 5+ features | 1-2 features |
| Support sentiment | 15% | Positive/none | Negative |
| Billing health | 15% | On time, expanding | Late, downgrading |
| Engagement | 15% | Opens, clicks | Ignores |
| NPS/CSAT | 10% | Promoter (9-10) | Detractor (0-6) |
Early Warning Signals#
| Timeframe | Signal | Action |
|---|---|---|
| 7 days | Login frequency drops 50%+ | In-app nudge, value reminder |
| 14 days | Key feature usage stops | CS outreach, usage tips |
| 30 days | No logins for 2+ weeks | Personal CS email, re-engagement |
| 60 days | NPS detractor, unresolved ticket | Executive escalation, save offer |
| 90 days | Cancellation signals | Retention call, custom offer |
Win-Back Campaigns#
Timing#
| Post-Churn Period | Response Rate | Approach |
|---|---|---|
| 0-7 days | 15-25% | Immediate save, address exit reason |
| 7-30 days | 8-15% | New feature announcement, incentive |
| 30-90 days | 3-8% | Major update, significant discount |
| 90+ days | <3% | Annual check-in |
Win-Back Sequence#
Email 1 (Day 1): Address exit reason, offer to help
Email 2 (Day 7): New features since they left
Email 3 (Day 14): Comeback incentive (discount or extended trial)
Email 4 (Day 30): Final offer with urgencyRetention Levers#
- Onboarding — Time to first value predicts retention more than any other factor
- Engagement loops — Regular touchpoints (weekly reports, digests)
- Feature adoption — Users who adopt 3+ features churn 50% less
- Community — Community members have 2-3x higher retention
- Switching costs — Integrations and data create healthy lock-in
- Proactive support — Reach out before problems become cancellations
CLV Calculation#
Simple CLV = ARPU / Monthly Churn Rate
Full CLV = ARPU * Gross Margin % * (1 / Churn Rate)
CLV:CAC ratio target: >3:1Integration with Other Skills#
- klaviyo-analyst — Design retention email flows and win-back sequences
- customer-journey-mapping — Map retention and advocacy stages
- google-analytics — Cohort analysis and engagement metrics
- cro-auditor — Optimize cancellation flow to save more customers
Supporting file: EXAMPLES.md#
Retention & Churn Prevention — Examples#
Example 1: Build Churn Early Warning System#
Prompt#
Design a customer health scoring system for our SaaS product. We have login data, feature usage, support tickets, and billing info.
What the skill does#
- Designs health score with weighted signals (usage 25%, feature depth 20%, support 15%, billing 15%, engagement 15%, NPS 10%)
- Defines thresholds: Green (80-100), Yellow (50-79), Red (0-49)
- Creates alert triggers for each risk level with recommended CS actions
- Proposes automated intervention playbook for Yellow and Red accounts
Example 2: Win-Back Campaign#
Prompt#
Design a win-back campaign for churned users. We had 340 cancellations last quarter. Top exit reasons: too expensive (40%), not using it enough (35%), switched to competitor (25%).
What the skill does#
- Segments churned users by exit reason
- Designs 3 win-back sequences (one per exit reason): discount offer for price-sensitive, new feature showcase for low-usage, comparison content for competitor-switched
- Sets timing: Day 1, 7, 14, 30 cadence
- Estimates recovery: 8-12% of price-sensitive, 5-8% of low-usage, 2-3% of competitor-switched
Example 3: Cohort Retention Analysis#
Prompt#
Analyze our monthly cohort retention curves. January cohort retained 68% at month 3, but March cohort only retained 52%.
What the skill does#
- Compares cohort curves to identify where March diverges from January
- Investigates variables: onboarding changes, product updates, traffic source mix, seasonal factors
- Identifies root cause: March cohort had 60% from paid ads (vs January 30%) with lower intent
- Recommends: segment retention by acquisition channel, improve paid traffic onboarding, tighten ICP targeting
Supporting file: REFERENCE.md#
Retention Churn Prevention Reference#
Reference data, benchmarks, and platform-specific details for the Retention Churn Prevention skill.
<!-- TODO: Add platform API schemas, benchmark data, and domain-specific reference tables -->FAQ
07 QUESTIONS
01What is the Retention churn prevention agent skill?
Analyze churn, predict at-risk customers, and design retention strategies. It is listed under growth and go-to-market in the 100xLab agent skills directory.
02How do I install Retention churn prevention in Cursor, Claude Code, or Codex?
Run npx skills add thatrebeccarae/claude-marketing --skill retention-churn-prevention in the project where you want it, then ask your agent for the skill by name. The --skill flag installs only Retention churn prevention, not every skill in the repository.
03What does the Retention churn prevention SKILL.md cover?
The SKILL.md includes sections on Install, Churn Analysis Framework, Churn Types, Churn Rate Calculation, Benchmarks and Customer Health Scoring. Read the full text on this page or in plain markdown at /resources/agent-skills/thatrebeccarae-claude-marketing--retention-churn-prevention--ofgqbx/raw.
04Which agents can use Retention churn prevention?
Retention churn prevention installs with the cross-agent skills installer (npx skills add), which sets it up for agents such as Claude Code, Cursor and Codex. Each agent loads the SKILL.md when you ask for the skill by name.
05What license is Retention churn prevention under?
The thatrebeccarae/claude-marketing repository declares the MIT license. Read the license file in the repository before you copy or redistribute the skill.
06Is Retention churn prevention free to use?
Reading, copying and installing Retention churn prevention costs nothing: it is published in a public GitHub repository under the MIT license. Reuse and redistribution follow that license.
07Where is the source of Retention churn prevention?
Retention churn prevention comes from https://github.com/thatrebeccarae/claude-marketing, which has 67 GitHub stars. The SKILL.md is at https://github.com/thatrebeccarae/claude-marketing/blob/HEAD/skills/retention-churn-prevention/SKILL.md. The author is thatrebeccarae.
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ATTRIBUTION
Retention churn prevention was written by its original authors and is published in thatrebeccarae/claude-marketing (opens GitHub in a new tab) under the MIT license. All rights stay with the original authors.
100xLab did not write, maintain or endorse this skill. This page lists it for discovery. Repo stars belong to the source repository, not to the skill. Review any skill before you install it.