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    CONNECTIONS / PostgreSQL / PostgreSQL to Snap Custom Audience

    Your PostgreSQL tables, wired to Snapchat audience matching.

    Signals reads your PostgreSQL tables through a read-only database user scoped to the PostgreSQL tables you name, then matches your segments into Snapchat for targeting and customer suppression so Snapchat sees match-ready audiences without an export.

    Talk to our team Explore the setup

    postgresql -> snap-custom-audience :: live

    1. ● postgresql → snap.audience :: live
    2. > read segments rows=18,314
    3. hash sha256(email,phone) consent=filtered
    4. route snap deliver
    5. ✓ delivered · 14,285 matched

    WHAT THIS ENABLES

    PostgreSQL to Snapchat Custom Audience

    Snapchat Custom Audience for PostgreSQL: Signals matches your segments into Snapchat for targeting and customer suppression straight from your PostgreSQL tables, hashed and consent-screened each time the read runs.

    • Signals matches your segments into Snapchat for targeting and customer suppression, reading your PostgreSQL tables each time the read runs.
    • Audiences that rebuild as the segment does, with no export step out of your PostgreSQL tables.

    WHAT FLOWS WHERE

    PostgreSQL to Custom Audience, mapped.

    Signals reads the customer segments from your PostgreSQL tables each time the read runs, hashes and screens each record, and posts the match-ready audiences to Snapchat's Custom Audiences API, keeping list sizing on Snapchat in view.

    Signals reads the customer segments from your PostgreSQL tables each time the read runs, hashes and screens each record, and posts the match-ready audiences to Snapchat's Custom Audiences API, keeping list sizing on Snapchat in view.

    WHO THIS IS FOR

    Built for the teams that own the number.

    Snapchat advertisers building lookalikes and excluding current buyers, working out of PostgreSQL tables, views, and materialized views.

    Engineering teams running PostgreSQL who need Snapchat audiences that stay in step as the segment rebuilds out of PostgreSQL tables.

    HOW DATAHASH SETS IT UP

    From kickoff to verified events.

    1. Connect

      A read-only database user scoped to the PostgreSQL tables you name, mapped to Snapchat's Custom Audiences API and tuned for list sizing on Snapchat.

    2. Map

      Columns from your PostgreSQL tables align to Snapchat's Custom Audiences API in the visual mapper, hashed as the read runs and checked for list sizing on Snapchat.

    3. Deliver

      Each time the read runs, Signals reads your PostgreSQL tables and matches your segments into Snapchat for targeting and customer suppression, reads only the records changed since the last run, with list sizing on Snapchat watched in the debugger.

    WHAT YOU GET

    What ships with this use case.

    Snapchat audiences that stay in step as the segment rebuilds from your PostgreSQL tables, delivered each time the read runs.

    Audiences that rebuild as the segment does out of your PostgreSQL tables, delivered each time the read runs without read load on the database climbing.

    Match feedback on list sizing on Snapchat from Snapchat's Custom Audiences API each run, tied back to your PostgreSQL tables.

    ON THE WIRE

    What Custom Audience actually receives.

    signals :: postgresql.snap-custom-audience :: wire

    1. ● signals :: audience upload
    2. > POST /audience_match source=postgresql.segments
    3. schema ["EMAIL_SHA256","PHONE_SHA256"]
    4. external_audience_id "aud_69865"
    5. id_list_size 18,314 · matched 14,285
    6. ✓ accepted match=78%
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    FAQ

    Asked on almost every call.

    How often does the PostgreSQL Snap Custom Audience sync run?

    Delivery tracks PostgreSQL, run by engineering teams running PostgreSQL: a near-real-time or scheduled sync of your PostgreSQL tables feeds Snapchat on that cadence. Each run reads only the records changed since the last run, so audiences that rebuild as the segment does holds up on list sizing on Snapchat. The live debugger confirms every delivery inline.

    What match rate should a PostgreSQL-sourced Snap Custom Audience batch expect?

    Coverage of hashed identifiers across your PostgreSQL tables decides it, and engineering teams running PostgreSQL own that inside PostgreSQL. A live email or phone matches into Snapchat; neither, and it will not. First-run feedback flags list sizing on Snapchat, which engineering teams running PostgreSQL then raise inside your PostgreSQL tables.

    NEXT STEP

    PostgreSQL to Snap Custom Audience, in production this week.

    Talk to our team All PostgreSQL use cases