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Build a Segment from Data-In Files

Ingest large data files into Loop through Data-In integration and convert them into actionable segments.

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Written by Juan Sebastian Franco
Updated over 3 months ago

⚠️ Bear in mind:
Before you can build a Data-In segment, your workspace must have Data-In integration enabled. Only an admin can request it. For instructions, see Data-In Integration for Large-Scale Imports.

Data-In integration is ideal when you need to upload large volumes of user data—files that exceed manual upload limits or surpass 1GB. By creating a dedicated Data-In segment, you can funnel these massive files into Loop and populate an audience within 24 hours.

Steps to Build a Data-In Segment

  1. Request or Confirm Data-In Integration

    • An admin must enable the feature and set up API credentials as described in the article linked above.

  2. Create Your Data-In Segment

    • Go to Segments and select Create Segment.

    • Choose Segment from Data-In Integration.

    • Specify any “segkeys” (unique identifiers or labels you need) and add a name and description.

    • Click Create. A numeric ID will be assigned to this new segment.

  3. Upload Your Data File

    • After the segment is created, prepare and upload your data file via the Data-In integration endpoint.

    • Each row in your file must reference the segment’s numeric ID in the segments column (or remove_segments if applicable).

    • Follow the file format and guidelines in the Data-In Integration documentation to ensure correct ingestion.

  4. Wait for Population

    • Processing can take up to 24 hours.

    • Once complete, the segment will include all the device IDs or user identifiers from your uploaded file.

With the Data-In segment ready and populated, you can incorporate these new users into your targeting and marketing strategies—no matter how large your data sets may be.

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