Agent skill

Retention Churn Prevention

by thatrebeccarae in thatrebeccarae/claude-marketing

Customer retention analysis, churn prediction, cohort analysis, win-back campaigns, and loyalty program design.

MITAuto-check passedMarketing & SEO

Install Retention Churn Prevention

skills CLI
$ npx skills add thatrebeccarae/claude-marketing --skill retention-churn-prevention -a claude-code

Project install by default; add -g for ~/.claude/skills/.

GitHub CLI
$ gh skill install thatrebeccarae/claude-marketing retention-churn-prevention --agent claude-code

Project scope by default; add --scope user for a personal install. Needs GitHub CLI 2.90.0 or later (public preview).

Manual copy
$ git clone --depth 1 https://github.com/thatrebeccarae/claude-marketing.git skills-src && mkdir -p .claude/skills && cp -r skills-src/skills/retention-churn-prevention .claude/skills/retention-churn-prevention && rm -rf skills-src

Use ~/.claude/skills/ instead of .claude/skills for a personal install. The folder must contain SKILL.md.

Claude Code skills documentation · loads skills from .claude/skills/

Facts

Skill name
retention-churn-prevention
GitHub stars
161
Token cost
~1k tokens
SKILL.md length
305 words
Files
4
Skills in repo
55
Repo updated
First seen
Licence
MIT

At a glance

Customer retention analysis, churn prediction, cohort analysis, win-back campaigns, and loyalty program design.

  • Works in 6 steps: Onboarding — Time to first value… → Engagement loops — Regular touchpoints… → Feature adoption — Users who adopt 3+… → …
  • The user asks about churn
  • SKILL.md covers Install, Churn Analysis Framework, Customer Health Scoring and Early Warning Signals, plus 4 more sections
  • Calls git

What it does

Retention Churn Prevention is an agent skill from thatrebeccarae/claude-marketing. Customer retention analysis, churn prediction, cohort analysis, win-back campaigns, and loyalty program design. Use when the user asks about churn, retention, customer lifetime value, cohort analysis, or win-back strategies.

Its SKILL.md is about 1k tokens, which your agent loads only when the skill is triggered. The skill folder holds 3 other files (for example `EXAMPLES.md` and `REFERENCE.md`).

It sits in Marketing & SEO, covering Referral and retention marketing. The repository describes itself as: A full marketing department for Claude Code. Skill packs for Klaviyo, Shopify, GA4, Looker Studio, paid media, and more. Audit, optimize, and report using natural language. The licence is MIT.

When your agent uses it

  • The user asks about churn
  • Customer lifetime value
  • Cohort analysis
  • Win-back strategies

Example prompts

  • “/retention-churn-prevention”

Workflow steps

6 steps, taken from the first numbered list in SKILL.md.

  1. Onboarding — Time to first value predicts retention more than any other factor
  2. Engagement loops — Regular touchpoints (weekly reports, digests)
  3. Feature adoption — Users who adopt 3+ features churn 50% less
  4. Community — Community members have 2-3x higher retention
  5. Switching costs — Integrations and data create healthy lock-in
  6. Proactive support — Reach out before problems become cancellations

What it can do on your machine

Read from SKILL.md and the folder at commit a8a63ec. It shows what the files ask for, not the result of running them.

  • Tool permissions

    Pre-approves nothing: there is no allowed-tools line, so your agent's usual permission prompts apply.

    From allowed-tools in the SKILL.md frontmatter.

  • Runs code

    Shell commands in SKILL.md call:

    • git

    From the folder's file list and the shell code blocks in SKILL.md.

  • Network

    No URLs in SKILL.md. Its commands use git, which can reach the network depending on how they are called.

    From URLs in SKILL.md, links to its own repository left out.

  • Credentials

    Names no API keys, tokens, secrets or passwords.

    From names ending in _API_KEY, _TOKEN, _SECRET, _KEY or _PASSWORD in SKILL.md.

Context cost

Retention Churn Prevention loads about 1k tokens when it runs. Until then it costs about 63 tokens; SKILL.md has 305 words of instructions outside code blocks.

Always · name and description, kept in context so the agent knows when to use it
~63
When it runs · the whole SKILL.md, loaded when a task matches
~1k

Estimates: characters ÷ 4, the usual rule of thumb; real counts depend on the model's tokenizer. Scripts and assets cost tokens only if the agent reads them.

Safety

Auto-check passed

The automated check found no risky patterns in SKILL.md.

Automated static check — not a guarantee. Review scripts before installing. It scans the text of SKILL.md for risky patterns (piping downloads into a shell, reading credential files, hidden Unicode, destructive commands); files beside SKILL.md are not scanned.

SKILL.md

The full file from thatrebeccarae/claude-marketing at commit a8a63ec, republished under its MIT licence (© thatrebeccarae). 305 words, ~1,002 tokens.

Download SKILL.mdSave it as .claude/skills/retention-churn-prevention/SKILL.md (or your agent's skills folder). This skill also uses 3 other files; get the full folder from GitHub.
name
retention-churn-prevention
description
Customer retention analysis, churn prediction, cohort analysis, win-back campaigns, and loyalty program design. Use when the user asks about churn, retention, customer lifetime value, cohort analysis, or win-back strategies.
license
MIT
origin
custom
author
Rebecca Rae Barton
author_url
https://github.com/thatrebeccarae
metadata.version
1.0.0
metadata.category
growth
metadata.domain
retention
metadata.updated
2026-03-18
metadata.tested
2026-03-18
metadata.tested_with
Claude Code v2.1

Retention & Churn Prevention

Analyze churn, predict at-risk customers, and design retention strategies.

Install

bash
git clone https://github.com/thatrebeccarae/claude-marketing.git && cp -r claude-marketing/skills/retention-churn-prevention ~/.claude/skills/

Churn Analysis Framework

Churn Types
TypeDefinitionSignal
VoluntaryCustomer actively cancelsCancellation request, downgrade
InvoluntaryPayment failure, card expiryFailed charge, dunning
SilentStops using but does not cancelUsage 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 MRR
Benchmarks
MetricExcellentGoodConcerning
Monthly churn (SaaS)<1%1-2%>3%
Annual churn (SaaS)<5%5-10%>15%
Net revenue retention>120%100-120%<100%

Customer Health Scoring

SignalWeightHealthyAt Risk
Product usage25%Daily/weeklyMonthly or less
Feature adoption20%5+ features1-2 features
Support sentiment15%Positive/noneNegative
Billing health15%On time, expandingLate, downgrading
Engagement15%Opens, clicksIgnores
NPS/CSAT10%Promoter (9-10)Detractor (0-6)

Early Warning Signals

TimeframeSignalAction
7 daysLogin frequency drops 50%+In-app nudge, value reminder
14 daysKey feature usage stopsCS outreach, usage tips
30 daysNo logins for 2+ weeksPersonal CS email, re-engagement
60 daysNPS detractor, unresolved ticketExecutive escalation, save offer
90 daysCancellation signalsRetention call, custom offer

Win-Back Campaigns

Timing
Post-Churn PeriodResponse RateApproach
0-7 days15-25%Immediate save, address exit reason
7-30 days8-15%New feature announcement, incentive
30-90 days3-8%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 urgency

Retention Levers

  1. Onboarding — Time to first value predicts retention more than any other factor
  2. Engagement loops — Regular touchpoints (weekly reports, digests)
  3. Feature adoption — Users who adopt 3+ features churn 50% less
  4. Community — Community members have 2-3x higher retention
  5. Switching costs — Integrations and data create healthy lock-in
  6. 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: >3:1

Integration 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

© thatrebeccarae, MIT. Rendered from Markdown: HTML in the file is shown as text, images as links, and headings moved down two levels. Raw file

Files

SKILL.md and 3 other files in skills/retention-churn-prevention of thatrebeccarae/claude-marketing.

  • SKILL.md
  • EXAMPLES.md
  • LICENSE
  • REFERENCE.md

Open the folder on GitHubat commit a8a63ec

Compare with similar skills

Retention Churn Prevention next to the 5 skills that share the most tags, products or categories with it. Stars are the repository's; “used in” counts other GitHub owners with a copy.

Retention Churn Prevention compared with similar skills
SkillStarsUsed inTokensAuto-checkLicenceRepo updated
Retention Churn Prevention this skillthatrebeccarae/claude-marketing161—~1kAutomated safety check: PassMIT
Referralscoreyhaines31/marketingskills54k2 repos~2.6kAutomated safety check: PassMIT
Referral Programfreekmurze/dotfiles1k17 repos~1.8kAutomated safety check: PassNone
Churn Preventionrongxinzy/RongxinAI1543 repos~2.6kAutomated safety check: PassMIT
100m Leadsgetagentseal/founder-playbook729—~2.3kAutomated safety check: PassMIT
Churn Preventionfreekmurze/dotfiles1k13 repos~4.4kAutomated safety check: PassNone

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Categories

Questions about Retention Churn Prevention

What does Retention Churn Prevention do?

Customer retention analysis, churn prediction, cohort analysis, win-back campaigns, and loyalty program design. Retention Churn Prevention is an agent skill from thatrebeccarae/claude-marketing. Customer retention analysis, churn prediction, cohort analysis, win-back campaigns, and loyalty program design.

When should I use Retention Churn Prevention?

Retention Churn Prevention fits situations like: the user asks about churn; customer lifetime value; cohort analysis; win-back strategies.

How do I install Retention Churn Prevention in Claude Code?

Run `npx skills add thatrebeccarae/claude-marketing --skill retention-churn-prevention -a claude-code`. Or copy the skill folder (skills/retention-churn-prevention in thatrebeccarae/claude-marketing) into .claude/skills/retention-churn-prevention in your project. Claude Code loads it when a task matches its description.

How do I install Retention Churn Prevention in Codex?

Run `npx skills add thatrebeccarae/claude-marketing --skill retention-churn-prevention -a codex`. Or copy the skill folder (skills/retention-churn-prevention in thatrebeccarae/claude-marketing) into .agents/skills/retention-churn-prevention in your project. Codex loads it when a task matches its description.

Can I use Retention Churn Prevention in Cursor, Gemini CLI or GitHub Copilot?

Cursor, Gemini CLI, GitHub Copilot and OpenCode also load SKILL.md folders. With the skills CLI, run `npx skills add thatrebeccarae/claude-marketing --skill retention-churn-prevention -a cursor` (or -a gemini-cli, github-copilot or opencode for the others). To copy it by hand, put the folder in .cursor/skills/retention-churn-prevention, .gemini/skills/retention-churn-prevention, .github/skills/retention-churn-prevention and .opencode/skills/retention-churn-prevention in your project.

What does Retention Churn Prevention need to run?

Going by SKILL.md and its folder, Retention Churn Prevention needs the command-line tools its instructions call (git).

Does Retention Churn Prevention access the network?

SKILL.md contains no URLs. Its commands use git, which can reach the network depending on how they are called. This is read from the text; nothing was executed.

Is Retention Churn Prevention safe to install?

Our automated static check of SKILL.md found no risky patterns, such as piping downloads into a shell, reading credential files or hidden Unicode. It is not a guarantee. Review the folder before installing.

What licence does Retention Churn Prevention use?

Retention Churn Prevention is published under the MIT licence (declared in SKILL.md). It allows redistribution, so the full SKILL.md is shown on this page.

How many tokens does Retention Churn Prevention use?

About 1k tokens (SKILL.md is roughly 4k characters). Agents keep only the skill's name and description in context until a task matches; then they load SKILL.md in full.

What are the alternatives to Retention Churn Prevention?

Skills that share tags, products or a category with Retention Churn Prevention: Referrals (coreyhaines31/marketingskills, 54k stars), Referral Program (freekmurze/dotfiles, 1k stars), Churn Prevention (rongxinzy/RongxinAI, 154 stars) and 100m Leads (getagentseal/founder-playbook, 729 stars). The comparison table on this page puts their stars, adoption, token cost, safety result and licence side by side.

Who maintains Retention Churn Prevention?

thatrebeccarae (a GitHub user) maintains it in thatrebeccarae/claude-marketing, which has 161 GitHub stars. The repository holds 55 skills in this directory. The repository was last updated on May 14, 2026.

Source: thatrebeccarae/claude-marketing on GitHub. Facts on this page come from the repository at the commit we read; the author's words are quoted as theirs.