# Page Not Found

The URL `google-analytics/acquisition/building-reports-on-customer-lifetime-value-by-marketing-channel` does not exist. This page may have been moved, renamed, or deleted.

## Suggested Pages

You may be looking for one of the following:
- [Landing page mistake that 90% of Shopify brands are making](https://help.littledata.io/google-analytics/acquisition/landing-page-mistake-shopify-brands-make.md)
- [Custom dimensions for calculating customer lifetime value](https://help.littledata.io/google-analytics/conversions/customer-lifetime-value-google-analytics.md)
- [Are Landing Page reports in GA4 still relevant?](https://help.littledata.io/google-analytics/acquisition/are-landing-page-reports-in-ga4-still-relevant.md)
- [How to track Shopify Sales Channels in GA4](https://help.littledata.io/google-analytics/acquisition/how-to-track-shopify-sales-channels-in-ga4.md)
- [How To Calculate ROAS In GA4](https://help.littledata.io/google-analytics/acquisition/how-to-calculate-roas-in-ga4.md)

## How to find the correct page

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### Option 1 — Ask a question (recommended)

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

```
GET https://help.littledata.io/google-analytics/acquisition/landing-page-mistake-shopify-brands-make.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.

### Option 2 — Browse the documentation index

Full index: https://help.littledata.io/sitemap.md

Use this to discover valid page paths or navigate the documentation structure.

### Option 3 — Retrieve the full documentation corpus

Full export: https://help.littledata.io/llms-full.txt

Use this to access all content at once and perform your own parsing or retrieval. It will be more expensive.

## Tips for requesting documentation

Prefer `.md` URLs for structured content, append `.md` to URLs (e.g., `/google-analytics/acquisition/landing-page-mistake-shopify-brands-make.md`).

You may also use `Accept: text/markdown` header for content negotiation.