Data Delivery

Each product contains 1 data set that is a MITS (Mobile Ids To Segments) file encompassing the segments within that product’s set of segments. The MITS file contains MAIDs (both adid’s and idfa’s). The MITS file(s) are revised with every version of a bi-monthly Audience index; i.e., each data set will have new revisions for the 1st and the 15th of every month.

Data Schema

The schema for the MITS files will be:

Column	Description
consumer_id	Device ID (IDFA or Android ID)
id_type	Enumerated value indicating whether the consumer_id is an IDFA or an Android ID.
segment_ids	Array of FDC codes representing the segments within the given Data Set that the consumer_id belongs to

NOTE: For a device ID to be included in any Data Set’s MITS file, it must appear in at least one segment under that Data Set.; i.e., there will not be any blanks in the segment_ids column.

Data Integrations

Amazon Data Exchange

AWS Data Exchange makes it easy to find, subscribe to, and use third-party data in the cloud. AWS Data Exchange simplifies access to data — eliminating the need to receive physical media, manage FTP credentials, or integrate with different APIs from multiple providers. When providers publish updates to their data sets, you will receive a notification so you can automatically consume new data as it is published.

Snowflake

Snowflake is a cloud data platform which has a data marketplace. The platform makes it easy for users to begin querying and getting value immediately, without requiring development resources or engineers to receive access. As data is updated by FSQ, those updates are automatically exposed to the user, meaning data is fresh at all times.