# Integrate X (Twitter) with Databox

X (formerly Twitter) is a social platform used to publish short-form content, engage with audiences, and build brand awareness in real time. Connecting X to Databox lets you track tweet performance, follower growth, and engagement trends alongside your other marketing and business data, so you can monitor your social presence and share results with stakeholders without switching between platforms.

## Connection

### Before you begin

### Add a connection

To connect X (Twitter) to your Databox account for the [first time](/add-a-connection), sign in with your phone, Google, Apple, or email/username credentials, then approve the Databox app to grant read-only access to your account data.

x-twitter-connection
## ![lock](/assets/lock.2fb1bbc208afcc03d15a0a45f22bdf7f830322016e038e5721965851130807af.419bb737.svg) Datasets

The X (Twitter) integration supports the creation of [datasets](/understanding-datasets), which allow you to structure and format your X (Twitter) data for more flexible reporting in Databox. By organizing your data into a tabular format, datasets make it easier to filter, segment, and visualize key metrics across projects, clients, and team members.

The entity relationship diagram (ERD) below illustrates how data is organized within the X (Twitter) integration, displaying the available **views** and **columns**, as well as the relationships between them (primary and foreign keys). This diagram represents the **schema**, or structure, of the data and helps you understand the underlying data model. With this context, you can create datasets using the relevant views and columns to build custom metrics tailored to your reporting needs.

## Resources

For comprehensive details on metrics, data availability, templates, specifications, usage guidelines, and other key information, refer to the resources listed below.

Because X allows multiple tweets to have the same text, Databox appends a publication timestamp to each tweet to distinguish them. This ensures that metrics like New Tweets by Retweets Count and New Tweets by Likes Count are attributed correctly to individual tweets rather than aggregated under a shared label.

 

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