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retention-strategy

该 Skill 以文本指南形式帮助识别自愿与非自愿流失、按生命周期阶段设计留存战术、构建健康分与干预手册;同时说明主动留存优于被动挽回,并区分产品价值、营销价值和反馈分析。未提供可执行代码或实际数据分析。

kostja94
kostja94
热度 45.38
最近更新 2026-05-11 17:41:40
分类:营销依赖:读写文件应用场景:市场分析 / CRM / 报告撰写

安装技能

复制下面的话术发给你的 Agent,它会通过 secure-skills 检索并安装该技能。

执行命令安装此 skill: npx secure-skills-cli add retention-strategy
Metadata
name
retention-strategy
description
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.
metadata
{"version":"1.1.1"}

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:

  1. Churn type: Voluntary (active cancel) vs involuntary (payment failure)
  2. Signals: Login frequency, feature usage, support tickets
  3. 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)

Related Skills

  • 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