Skip to content
customer-lifetime-value logo

客户生命周期价值 (CLV/LTV)

customer-lifetime-value

Use when needing to calculate, analyze, or optimize customer lifetime value (CLV/LTV) to improve business profitability

SKILL.md

Full skill instructions

客户生命周期价值 (CLV/​LTV)

概述

CLV = 客单价 × 购买频率 × 客户生命周期

计算方法

简单CLV:

CLV = (客单价 × 年购买次数 × 客户年数) - 获客成本

优化CLV:

  • 提高客单价
  • 增加购买频率
  • 延长客户生命周期

关键指标

  • 获客成本 (CAC)
  • CLV/​CAC比例
  • 复购率
  • 留存率

优化策略

  • 会员体系
  • 复购激励
  • 交叉销售
  • 向上销售

最后提醒:CLV是商业健康的关键指标。优化CLV比单纯追求新客户更有价值。

More Other skills

Delegate independent tasks to specialized agents working concurrently with isolated context.

295.4K 206.3K
View

Applies Anthropic's official brand colors and typography to any sort of artifact that may benefit from having Anthropic's look-and-feel. Use it when brand colors or style guidelines, visual formatting, or company design standards apply.

179.7K 100.1K
View

Toolkit for styling artifacts with a theme. These artifacts can be slides, docs, reportings, HTML landing pages, etc. There are 10 pre-set themes with colors/fonts that you can apply to any artifact that has been creating, or can generate a new theme on-the-fly.

179.7K 89.5K
View

A set of resources to help me write all kinds of internal communications, using the formats that my company likes to use. Claude should use this skill whenever asked to write some sort of internal communications (status reports, leadership updates, 3P updates, company newsletters, FAQs, incident reports, project updates, etc.).

179.7K 76.1K
View

Fundamental design principles for writing maintainable, testable Python code.

40.2K 21.9K
View

Modern responsive layouts using container queries, fluid typography, CSS Grid, and mobile-first strategies.

40.2K 20K
View

Generate Playwright tests from scenarios using interactive browser exploration and validation.

39.7K 18.2K
View

Modern React state management with Redux Toolkit, Zustand, Jotai, and React Query for every state category.

40.2K 14.7K
View

GDPR-compliant data handling with consent management, data subject rights, and privacy controls.

40.2K 14.3K
View

Python error handling patterns including input validation, exception hierarchies, and partial failure handling. Use when implementing validation logic, designing exception strategies, handling batch processing failures, or building robust APIs.

40.2K 13.5K
View

Detailed multi-file refactor planning with safety checks and rollback guidance.

39.7K 13K
View