> For the complete documentation index, see [llms.txt](https://docs.relevant-digital.com/llms.txt). Markdown versions of documentation pages are available by appending `.md` to page URLs; this page is available as [Markdown](https://docs.relevant-digital.com/ad-revenue-insights/data-connections/csv-support-for-web-analytics-imports.md).

# CSV Support for Web-Analytics Imports

Just as you can receive your web analytics data via API calls, we also support importing it through daily CSV files.

### How to Get Started

Setting up your mail import of web analytics for the Ad Revenue Insights module is straightforward.

Go to **Configuration → Integrations → New Analytics System**.

<div data-with-frame="true"><img src="/files/fa7e68f8dcc212148e305ba3457fb4acfe3ee2ac" alt=""></div>

Here, you can choose the type of data import you would like to use. Simply select Mail Import Analytics.

<div data-with-frame="true"><img src="/files/cee5b16f65cbaeaa48cd26197863015564d7609e" alt="" width="563"></div>

Once selected, you can name the columns based on how they appear in your import file. You can also configure a few additional options:

* **CSV is a link** – we will attempt to read the data from the provided link.
* **Ignore data in emails for the date the email was sent** – this can help avoid importing incomplete data for that specific date.

You should also enter the sender’s email address, along with a keyword or phrase from the subject line to help identify the correct email. This is especially useful if multiple emails are sent from the same sender.

<div data-with-frame="true"><img src="/files/ed22e994c7fade07e4138aaddb7944d8319d2d85" alt="" width="563"></div>


---

# 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 dynamically by asking a question.

Perform an HTTP GET request on the current page URL with the `ask` query parameter, and the optional `goal` query parameter:

```
GET https://docs.relevant-digital.com/ad-revenue-insights/data-connections/csv-support-for-web-analytics-imports.md?ask=<question>&goal=<endgoal>
```

`ask` is the immediate question: it should be specific, self-contained, and written in natural language.
`goal` is optional and describes the broader end goal you are ultimately trying to accomplish on behalf of the user. GitBook uses it to tailor the answer towards what is most useful for that goal.

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.
