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。
Use when needing to calculate, analyze, or optimize customer lifetime value (CLV/LTV) to improve business profitability
| Publisher | vivy-yi |
| Repository | xiaohongshu-skills |
| Skill name | customer-lifetime-value |
| Stars | 502 |
| Forks | 76 |
| Bundled files | Instructions only |
| Links |
A SKILL.md file the model loads on demand, so it only costs tokens when a request actually matches.
AI skills are plain Markdown, not provider-specific code, so this works with GPT, Claude, Gemini, Grok, or a local model.
Everything the model needs lives in the instructions — no extra files to sync.
Published by vivy-yi on GitHub. Read the source before you install it.
Install the Customer Lifetime Value AI skill in TypingMind to use it with any LLM, or drop it into another agent that reads SKILL.md.
TypingMind installs a skill straight from its GitHub folder — it reads SKILL.md, bundles the resource files, and stores the result locally.
https://github.com/vivy-yi/xiaohongshu-skills/tree/main/skills/04-电商转化/customer-lifetime-valueEnable Customer Lifetime Value in any TypingMind chat and the model takes it from there. Its name and description sit in the system prompt, and the moment a request matches, the model loads the full instructions itself — you never invoke it by hand, and it costs no tokens until it is actually used.
AI skills are plain Markdown instructions rather than provider-specific code, so Customer Lifetime Value is not tied to the model it was written for. Install it once in TypingMind and use it with GPT-5, Claude, Gemini, Grok, DeepSeek, Mistral, Llama, or a local model you run yourself — all on your own API keys.
The system prompt carries just the name and description. The instructions are fetched on the first matching request, so an idle skill costs nothing.
Because the skill is instructions rather than code, changing model does not break it — the next model reads the same SKILL.md.
This is the SKILL.md content the model loads. Read it before installing — a skill is instructions your model will follow.
CLV = 客单价 × 购买频率 × 客户生命周期
简单CLV:
CLV = (客单价 × 年购买次数 × 客户年数) - 获客成本
优化CLV:
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。
Use when needing to calculate, analyze, or optimize customer lifetime value (CLV/LTV) to improve business profitability
Because you install it once and use it with any model. Customer Lifetime Value is plain Markdown rather than provider-specific code, so the same skill runs on GPT-5, Claude, Gemini, Grok, or a local model — and you can switch model mid-chat without it breaking. TypingMind runs on your own API keys, so you pay providers directly instead of a per-seat subscription, and your skills and chats stay in your own storage.
Open Plugins → Skills → Install from GitHub in TypingMind and paste https://github.com/vivy-yi/xiaohongshu-skills/tree/main/skills/04-电商转化/customer-lifetime-value. TypingMind reads its SKILL.md and installs it as a skill you can enable per chat.
Any model you connect in TypingMind. AI skills are plain Markdown instructions rather than provider-specific code, so GPT, Claude, Gemini, Grok, and local models can all load this skill when a request matches it.
As many as you like. As long as a model supports skills, you can use Customer Lifetime Value with it — GPT, Claude, Gemini, Grok, DeepSeek, Mistral, Llama and more — all on TypingMind with your own API keys.
It is published on GitHub by vivy-yi. Check the repository for licensing terms. You only pay your own AI provider for the tokens you use.
An AI skill is a reusable instruction bundle that teaches an AI model how to do one specific task. It follows the open Agent Skills format: a SKILL.md file with a name and description, plus any scripts, templates or reference files the model may need. The model reads the instructions only when your request matches the skill, so an installed skill costs nothing until it is used.
A plugin or MCP server gives a model new tools to call — code that runs somewhere and returns a result. An AI skill gives the model knowledge and process instead: how to approach a task, which steps to follow, what good output looks like. Skills are plain Markdown, so they need no server, no API key and no runtime, and they work with any model.
Memory Reflect
Answer questions about history, habits and past decisions by reasoning over Hindsight memory. Use when asked what was decided about something, how something is usually done, what changed over time, or…
To Questionnaire
Turn a decision you can't fully answer into a questionnaire for someone else to fill in.
Wait What
Stop. That last message did not land: re-pitch it.
Get Search View Results
Get the current search results from the Search view in VS Code
Get notified about new features and future giveaways by subscribing to our newsletter 👇
