> 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/snapchat.md).

# Snapchat

<a href="https://dbdiagram.io/e/68c0383661a46d388e362747/68c03a9361a46d388e36b65a" class="button primary" data-icon="table-tree">Prebuilt reports and definition</a>

***

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

To connect Snapchat to Quanti:, you need to access a [Business account](https://accounts.snapchat.com/v2/login).

***

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

1. Connect your Snapchat account to permit Quanti: to access to your data
2. Connector information
   1. Connector Name : Name your connector. It must be unique.
   2. Dataset ID : Define the ID of the dataset. It must not exist yet, as it will be created and data will be sent there.
3. Select accounts : Choose accounts to sync.
4. Select queries : Choose the pre-built queries you’d like to synchronize—or skip this step if none apply.
5. Create queries: create your own custom queries queries you’d like to synchronize—or skip this step if none apply.

***

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

* **ad\_account\_history**: Stores historical data about ad accounts and their configurations.
* **ad\_daily\_report**: Daily performance metrics at the ad level.
* **ad\_demographic\_daily\_report**: Ad performance metrics broken down by demographic segments.
* **ad\_device\_make\_daily\_report**: Ad metrics segmented by device make (e.g. Apple, Samsung).
* **ad\_device\_os\_daily\_report**: Ad metrics segmented by operating system (e.g. iOS, Android).
* **ad\_geo\_country\_daily\_report**: Ad metrics grouped by country.
* **ad\_geo\_dma\_daily\_report**: Ad metrics grouped by DMA (Designated Market Areas).
* **ad\_geo\_region\_daily\_report**: Ad metrics grouped by geographic regions.
* **ad\_history**: Contains historical records of individual ads and their statuses.
* **ad\_squad\_daily\_report**: Daily performance data aggregated at the ad squad level.
* **ad\_squad\_demographic\_daily\_report**: Ad squad performance data by demographic attributes.
* **ad\_squad\_device\_make\_daily\_report**: Ad squad metrics by device make.
* **ad\_squad\_device\_os\_daily\_report**: Ad squad metrics by operating system.
* **ad\_squad\_geo\_country\_daily\_report**: Ad squad performance by country.
* **ad\_squad\_geo\_dma\_daily\_report**: Ad squad performance by DMA region.
* **ad\_squad\_geo\_region\_daily\_report**: Ad squad performance by broader geographic regions.
* **ad\_squad\_history**: Historical configuration and status data for ad squads.
* **campaign\_daily\_report**: Daily performance metrics at the campaign level.
* **campaign\_demographic\_daily\_report**: Campaign metrics by age and gender.
* **campaign\_device\_make\_daily\_report**: Campaign metrics segmented by device make.
* **campaign\_device\_os\_daily\_report**: Campaign metrics segmented by OS.
* **campaign\_geo\_country\_daily\_report**: Campaign metrics by country.
* **campaign\_geo\_dma\_daily\_report**: Campaign metrics by DMA region.
* **campaign\_geo\_region\_daily\_report**: Campaign metrics by larger regions.
* **campaign\_history**: Historical data of campaign configurations and statuses.
* **organization\_history**: Historical data about advertiser organizations.

***

<a href="https://dbdiagram.io/e/68c0383661a46d388e362747/68c03a9361a46d388e36b65a" 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/snapchat.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.
