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    CONNECTIONS / Oracle / Oracle to TikTok Custom Audience

    From Oracle tables to TikTok audience targeting.

    Signals reads your Oracle tables through a read-only database user scoped to the Oracle tables you name, then delivers first-party segments to TikTok as match-ready custom audiences so TikTok sees match-ready audiences without an export.

    Talk to our team Explore the setup

    oracle -> tiktok-custom-audience :: live

    1. ● oracle → tiktok.audience :: live
    2. > read segments rows=15,528
    3. hash sha256(email,phone) consent=filtered
    4. route tiktok deliver
    5. ✓ delivered · 11,801 matched

    WHAT THIS ENABLES

    Oracle to TikTok Custom Audience

    TikTok Custom Audience for Oracle: Signals delivers first-party segments to TikTok as match-ready custom audiences straight from your Oracle tables, hashed and consent-screened each time the read runs.

    • Signals delivers first-party segments to TikTok as match-ready custom audiences, reading your Oracle tables each time the read runs.
    • Targeting that mirrors your live segment, with no export step out of your Oracle tables.

    WHAT FLOWS WHERE

    Oracle to Custom Audience, mapped.

    Signals reads the customer segments from your Oracle tables each time the read runs, hashes and screens each record, and posts the match-ready audiences to TikTok's Custom Audience API, keeping match quality on TikTok in view.

    Signals reads the customer segments from your Oracle tables each time the read runs, hashes and screens each record, and posts the match-ready audiences to TikTok's Custom Audience API, keeping match quality on TikTok in view.

    WHO THIS IS FOR

    Built for the teams that own the number.

    TikTok advertisers seeding lookalikes and suppressing existing customers, working out of Oracle tables, views, and PL/SQL results.

    Enterprise data teams on Oracle who need TikTok custom audiences mirroring the segment your data team publishes out of Oracle tables.

    HOW DATAHASH SETS IT UP

    From kickoff to verified events.

    1. Connect

      A read-only database user scoped to the Oracle tables you name, mapped to TikTok's Custom Audience API and tuned for match quality on TikTok.

    2. Map

      Columns from your Oracle tables align to TikTok's Custom Audience API in the visual mapper, hashed as the read runs and checked for match quality on TikTok.

    3. Deliver

      Each time the read runs, Signals reads your Oracle tables and delivers first-party segments to TikTok as match-ready custom audiences, reads only the records changed since the last run, with match quality on TikTok watched in the debugger.

    WHAT YOU GET

    What ships with this use case.

    TikTok custom audiences mirroring the segment your data team publishes from your Oracle tables, delivered each time the read runs.

    Targeting that mirrors your live segment out of your Oracle tables, delivered each time the read runs without read load on the database climbing.

    Match feedback on match quality on TikTok from TikTok's Custom Audience API each run, tied back to your Oracle tables.

    ON THE WIRE

    What Custom Audience actually receives.

    signals :: oracle.tiktok-custom-audience :: wire

    1. ● signals :: audience upload
    2. > POST /dmp/custom_audience source=oracle.segments
    3. id_schema ["EMAIL_SHA256","PHONE_SHA256"]
    4. action "add" · audience_id "aud_83903"
    5. id_list_size 15,528 · matched 11,801
    6. ✓ accepted match=76%
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    FAQ

    Asked on almost every call.

    How often does the Oracle TikTok Custom Audience sync run?

    You set the cadence, from near-real-time to a nightly Oracle sync of your Oracle tables into TikTok. Since Signals reads only the records changed since the last run, TikTok custom audiences mirroring the segment your data team publishes keeps pace and enterprise data teams on Oracle watch match quality on TikTok. One scoped connection sets it up, cadence adjustable later.

    What match rate should a Oracle-sourced TikTok Custom Audience batch expect?

    Match rate follows identifier coverage in your Oracle tables, which enterprise data teams on Oracle control, not Oracle itself. A record with a current hashed email or phone matches for TikTok; one missing both cannot. First-run feedback from Custom Audience API pinpoints match quality on TikTok, the number enterprise data teams on Oracle tune against.

    NEXT STEP

    Oracle to TikTok Custom Audience, in production this week.

    Talk to our team All Oracle use cases