> For the complete documentation index, see [llms.txt](https://docs.adalysis.com/llms.txt). Markdown versions of documentation pages are available by appending `.md` to page URLs; this page is available as [Markdown](https://docs.adalysis.com/manage/keywords/build-campaigns-from-keyword-lists.md).

# Build campaigns from keyword lists

{% embed url="<https://www.youtube.com/watch?v=AoZuVbgJFUQ>" %}

![](https://s3.amazonaws.com/cdn.freshdesk.com/data/helpdesk/attachments/production/1152642709/original/-Trct6OzgK7nFS0RvFVN7NcoVV3VzM6SOQ.png?1734425491)

Organize your keywords into relevant, structured ad groups with the Keyword Grouper. This tool makes working with large keyword lists quick and easy.

To start, go to **Manage** > **Keywords** > **Utilities** > **Grouper**.

1. Paste your keyword list into the tool. You can use CSV or one keyword per line.
2. Choose one or more match types. Then, specify your preferred ad group structure and match type distribution.
3. Click **Group Keywords**. You can review the results and adjust your settings, if needed.
4. Click **Download Google Ads Editor CSV** to export your ad groups and keywords. Alternatively, click **Create ad groups and keywords** to upload them directly to Google Ads. (For the second option, you can select the campaigns you want to add your data to and set default bids.)

{% hint style="info" %}
Selecting a higher similarity level will result in more ad groups with highly specific, granular groupings. A lower similarity means broader ad groups with more keywords.&#x20;
{% endhint %}


---

# 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.adalysis.com/manage/keywords/build-campaigns-from-keyword-lists.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.