mcpbeat

Retention Strategy

kostja94/retention-strategy

When the user wants to reduce churn, improve customer retention, or plan lifecycle marketing. Also use when the user mentions "retention," "churn," "customer lifecycle," "churn prevention," "at-risk customers," or "loyalty program." For lifecycle, use growth-funnel.

850 tokens
context cost
the whole folder, loaded on every use
1
files
instructions only
0
copies elsewhere
how many repositories repackaged it
836
stars on the repo
on the repository, not the skill itself

Install

one command, takes just this skill from the repository
npx skills add https://github.com/kostja94/marketing-skills --skill retention-strategy

The instruction itself

9 sections, as written by the author

Strategies: Retention

Guides customer retention and churn prevention. Acquiring new customers costs 5–25× more than retaining; 5% retention improvement can increase profitability 25–95%. Use this skill when reducing churn, building retention programs, or identifying at-risk customers.

When invoking: On first use, if helpful, open with 1–2 sentences on what this skill covers and why it matters, then provide the main output. On subsequent use or when the user asks to skip, go directly to the main output.

Initial Assessment

Check for project context first: If .claude/project-context.md or .cursor/project-context.md exists, read Sections 4 (Audience), 9 (Documentation).

Identify:

  • Churn type: Voluntary (active cancel) vs involuntary (payment failure)
  • Signals: Login frequency, feature usage, support tickets
  • Stage: Onboarding, expansion, renewal

Churn Types

| Type | Share | Causes |

|------|-------|--------|

| Voluntary | 60–80% | Pricing, missing features, poor onboarding, relationship |

| Involuntary | 20–40% | Payment failures, expired cards, billing |

Predictability: Most churn is predictable 30–90 days before cancellation via behavioral signals.

Proactive vs Reactive

| Approach | Conversion |

|----------|------------|

| Reactive (after cancel) | 15–20% |

| Proactive (before decision) | 60–80% |

Move from lagging indicator to early warning systems.

Retention Strategies

| Strategy | Use |

|----------|-----|

| Health scoring | Behavioral + transactional + relationship signals |

| Loyalty programs | 5–15 percentage point retention lift |

| Segmentation | Predictive modeling for at-risk |

| Onboarding | Prevent low value realization early |

| Dunning | Retry logic; pre-expiry card updates for involuntary |

User Value & Feedback

| Dimension | Use |

|-----------|-----|

| Product value | Registration; feature usage; payment |

| Marketing value | Testimonials; customer stories; webinar guests; feedback, bug reports, feature requests |

| Feedback analysis | Email, community, reviews—AI-assisted analysis; prioritize by impact; route to product vs ops |

Avoid: Treating users only as MAU/registration denominators. See creator-program for creator ecosystem.

Lifecycle Integration

Retention occurs after conversion; ongoing investment in customer success, not isolated campaigns. Map touchpoints: onboarding → adoption → expansion → renewal.

Output Format

  • Churn analysis (voluntary vs involuntary; signals)
  • Retention tactics (by stage)
  • Health score framework (if applicable)
  • Intervention playbook (at-risk triggers)
  • email-marketing: Onboarding sequences; win-back campaigns
  • pmf-strategy: Retention as PMF signal; churn as anti-signal
  • cold-start-strategy: First users; differs from retention
  • analytics-tracking: Usage data; churn signals
  • traffic-analysis: Attribution; retention cohort analysis

How to use it

Copy the folder

Take kostja94/retention-strategy from the repository into ~/.claude/skills for personal use, or into .claude/skills inside a project.

Check the name does not clash

The agent identifies a skill by the name field in its header. Two skills with the same name cannot sit side by side — one of them will be ignored.