> For the complete documentation index, see [llms.txt](https://docs.quanti.io/llms.txt). Markdown versions of documentation pages are available by appending `.md` to page URLs; this page is available as [Markdown](https://docs.quanti.io/connectors/marketing-connectors/rtbhouse.md).

# RTB House

<a href="https://dbdiagram.io/e/65bcd2efac844320ae4e9293/65ce242eac844320ae3a13b6" class="button primary" data-icon="table-tree">Prebuilt reports and definition</a>

***

## <mark style="background-color:blue;">Prerequisites</mark>

To connect RTB House to QUANTI, you need an [RTB House](https://www.rtbhouse.com/?utm_source=quanti.io\&utm_medium=partnership) account with API access.

***

## <mark style="background-color:blue;">Setup instructions</mark>

### Finish Quanti: configuration

1. Enter your Account credentials.
2. Enter the name of your choice.
3. Select your Advertiser Id(s).
4. Select an attribution mode.
5. Select the queries you want to sync.
6. Click Save. Quanti: will take it from here and sync your RTB House data.

***

## <mark style="background-color:blue;">Prebuilt reports</mark>

* Campaigns : Campaign metadata.
* Performances : Aggregated daily campaign performance metrics.

***

<a href="https://dbdiagram.io/e/65bcd2efac844320ae4e9293/65ce242eac844320ae3a13b6" class="button primary" data-icon="table-tree">Prebuilt reports and definition</a>


---

# 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:

```
GET https://docs.quanti.io/connectors/marketing-connectors/rtbhouse.md?ask=<question>
```

The question should be specific, self-contained, and written in natural language.
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.