> For the complete documentation index, see [llms.txt](https://docs.marketingtool.pro/llms.txt). Markdown versions of documentation pages are available by appending `.md` to page URLs; this page is available as [Markdown](https://docs.marketingtool.pro/customer-lifetime-value-calculator.md).

# Customer Lifetime Value Calculator

Calculates and predicts CLV per customer segment using purchase history, then recommends retention strategies to maximize it.

**Category:** [E-commerce & Shopify](/e-commerce-and-shopify.md) · **Badge:** E-commerce

## Where to find it

* **Web app** — [app.marketingtool.pro/tools/customer-lifetime-value-calculator](https://app.marketingtool.pro/tools/customer-lifetime-value-calculator)
* **iOS / Android app** — open the **Tools** tab and search “Customer Lifetime Value Calculator”

## Inputs

| Input               | Type     | Required | Describe what you need |
| ------------------- | -------- | -------- | ---------------------- |
|                     | textarea | ✅        |                        |
| Store / Brand Name  | text     | optional |                        |
| Average Order Value | text     | optional |                        |

## Result workspace

Your result page is organized into tabs: **Overview**, **Segments**, **Retention**, **Forecast**.

## Tips for best results

* **Average Order Value** — Share your AOV for accurate CLV calculation.
* **Purchase Frequency** — How often does a typical customer buy per year?
* **Customer Lifespan** — Estimate how long customers stay active.

## How to run it

1. Open **Customer Lifetime Value Calculator** (links above).
2. Fill in the inputs and press **Generate**.
3. Review your full result page — it's saved to your History automatically. On desktop, use **Download All** to save every asset.


---

# Agent Instructions
This documentation is published with GitBook. GitBook is the documentation platform designed so that both humans and AI agents can read, navigate, and reason over technical content effectively. Learn more at gitbook.com.

## Querying This Documentation
If you need additional information that is not directly available in this page, you can query the documentation by asking a question.

Perform an HTTP GET request on the following URL with the `ask` and `goal` query parameters:

```
GET https://docs.marketingtool.pro/customer-lifetime-value-calculator.md?ask=<question>&goal=<user_goal>
```

`ask` is the immediate question: it should be specific, self-contained, and written in natural language.
`goal` is what the user is ultimately trying to achieve, the reason they need the answer. Sharing it helps GitBook give you a better, more relevant answer. A goal is most helpful when it describes the outcome the user wants rather than restating the question. For example, with `ask=how do I create an API token`, a goal like `automate deployments from our CI pipeline` lets GitBook tailor the answer to that use case.

The response will contain a direct answer to the question and relevant excerpts and sources from the documentation.

Use this mechanism when the answer is not explicitly present in the current page, you need clarification or additional context, or you want to retrieve related documentation sections.
