> 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/hb-manager/integrations-and-connections/adding-amazon-uam-tam-to-your-prebid-setup.md).

# Adding Amazon UAM/TAM to your Prebid setup

You can utilise your Amazon UAM/TAM in a parallel auction to your Prebid, and let the HB Manager select the highest value to send to your Adserver. This will make both auction systems compete as one, even though Amazon, not being an official partner of Prebid.

{% hint style="warning" %}
This setup is only available if you are using GAM as an ad server.
{% endhint %}

As a general rule, Amazon should be seen as and added in a very similar way as any other SSP. So set up the SSP in Global Settings - Add SSP and select Amazon

![](/files/11c9ee9dd2a9e46ed88b58b93982cfa4d1b81fd7)

In the setup, you need to add the Publisher ID if you want to use it in the HB Manager/Analytics.

## Relevant Yield Ad Revenue Insights Module

If you also want to collect the API data, you should add the Credentials in the Consumer Key fields, and the S3 location:

![](/files/f7044a0b25029610d404a7146d1819ca4bc19d5a)

Once set up in the Programmatic configuration, you can add the SSP to the placements you want it to run on, just like you would any other SSP. It will work with the placement functionalities, like Floorprices and Reload functionality.

You can use an integer for the placement ID or give it a name of your choice.

![](/files/858a41388e6551b35b0ef73300200c0c2080d8e5)


---

# 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/hb-manager/integrations-and-connections/adding-amazon-uam-tam-to-your-prebid-setup.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.