LTV CAC Calculator

Compare ecommerce LTV and CAC using realistic order, margin, and retention assumptions. Use when teams need to know whether acquisition is compounding value...

Security Scan

The skill is an instruction-only LTV/CAC calculator whose requested resources and runtime instructions match its stated purpose and do not ask for credentials or install anything.

Purpose & Capability

Name, description, and SKILL.md all describe an LTV vs CAC calculation tool; required inputs listed (AOV, margin, frequency, CAC, optional costs) are appropriate and proportional to that purpose.

Instruction Scope

SKILL.md only describes model assumptions, calculation steps, output format, and an output template; it does not instruct the agent to read system files, access environment variables, call external endpoints, or transmit data outside the agent.

Install Mechanism

No install specification and no code files — this is instruction-only, so nothing is written to disk or downloaded during install.

Credentials

The skill declares no required environment variables, credentials, or config paths; the inputs it requests are domain data (pricing, margin, retention) and are appropriate for the task.

Persistence & Privilege

Flags are default (not always), the skill does not request persistent privileges or modify other skills; autonomous invocation is allowed but is the platform default and is not excessive here.

Assessment

This skill appears coherent and low-risk: it is just a recipe for computing LTV/CAC and produces a clear output template. Before using, avoid pasting sensitive customer PII or raw identifiers into the inputs (only aggregated financial/behavioral metrics are needed). Treat the results as a decision aid — verify assumptions and sensitivity ranges with your finance or analytics team before making budgetary changes. If you need an auditable/production-ready model, implement the calculations in your secure analytics environment rather than relying solely on an instruction-only skill.

增长不是把人买进来就结束，关键是这些客户值不值这个获客成本。

解决的问题

很多团队会说“这个渠道还在赚钱”，但没真正算清：

• 用户是否会复购；
• 毛利能否覆盖获客成本；
• 看起来跑得动，其实 payback 太慢；
• 如果 retention 变差，整个模型会不会瞬间失效。

这个 skill 的目标是： 用一套可解释的方式，估算 LTV / CAC 关系，并给出增长是否健康的判断。

何时使用

• 评估新渠道或新 campaign；
• 复盘某类客户是否值得继续加预算；
• 比较不同商品、不同人群的 acquisition quality。

输入要求

• 客单价
• 毛利结构
• 复购频次 / 生命周期窗口
• 当前 CAC
• 可选：退款率、客服成本、履约成本、会员贡献

工作流

1. 估算单客户生命周期贡献。
2. 计算 LTV / CAC 比率。
3. 判断 payback 是否健康。
4. 提示最弱的环节：留存、毛利、价格、CAC 等。

输出格式

1. 假设表
2. LTV / CAC 结果
3. 风险点评
4. 建议动作

质量标准

• 不假装精确，必须说明生命周期假设。
• 区分“看起来合理”和“真正稳健”。
• 输出要服务于预算和 retention 决策。
• 建议动作要明确。

资源

参考 references/output-template.md。