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    CONNECTIONS / Oracle / Oracle to Meta Custom Audience

    From Oracle tables to Meta lookalike and suppression seeds.

    Signals reads your Oracle tables through a read-only database user scoped to the Oracle tables you name, then keeps Meta audiences synced as adds and removals so lists never drift so Meta sees match-ready audiences without an export.

    Talk to our team Explore the setup

    oracle -> meta-custom-audience :: live

    1. ● oracle → meta.audience :: live
    2. > read segments rows=71,300
    3. hash sha256(email,phone) consent=filtered
    4. route meta deliver
    5. ✓ delivered · 57,753 matched

    WHAT THIS ENABLES

    Oracle to Meta Custom Audience

    Meta Custom Audience for Oracle: Signals keeps Meta audiences synced as adds and removals so lists never drift straight from your Oracle tables, hashed and consent-screened each time the read runs.

    • Signals keeps Meta audiences synced as adds and removals so lists never drift, reading your Oracle tables each time the read runs.
    • Always-current lookalike seeds and exclusions, 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 Meta's Custom Audiences API, keeping audience refresh cadence 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 Meta's Custom Audiences API, keeping audience refresh cadence in view.

    WHO THIS IS FOR

    Built for the teams that own the number.

    Performance teams running first-party suppression and lookalike seeds, working out of Oracle tables, views, and PL/SQL results.

    Enterprise data teams on Oracle who need lookalike seeds and suppression lists that track your live customer base 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 Meta's Custom Audiences API and tuned for audience refresh cadence.

    2. Map

      Columns from your Oracle tables align to Meta's Custom Audiences API in the visual mapper, hashed as the read runs and checked for audience refresh cadence.

    3. Deliver

      Each time the read runs, Signals reads your Oracle tables and keeps Meta audiences synced as adds and removals so lists never drift, reads only the records changed since the last run, with audience refresh cadence watched in the debugger.

    WHAT YOU GET

    What ships with this use case.

    Lookalike seeds and suppression lists that track your live customer base from your Oracle tables, delivered each time the read runs.

    Always-current lookalike seeds and exclusions out of your Oracle tables, delivered each time the read runs without read load on the database climbing.

    Match feedback on audience refresh cadence from Meta's Custom Audiences API each run, tied back to your Oracle tables.

    ON THE WIRE

    What Custom Audience actually receives.

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

    1. ● signals :: audience upload
    2. > POST /customaudiences source=oracle.segments
    3. schema ["EMAIL_SHA256","PHONE_SHA256"]
    4. num_received 71,300 · num_invalid_entries 412
    5. audience_id "1698600" · session "upsert"
    6. ✓ accepted match=81%
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    FAQ

    Asked on almost every call.

    How often does the Oracle Meta Custom Audience sync run?

    You set the cadence, from near-real-time to a nightly Oracle sync of your Oracle tables into Meta. Since Signals reads only the records changed since the last run, lookalike seeds and suppression lists that track your live customer base keeps pace and enterprise data teams on Oracle watch audience refresh cadence. One scoped connection sets it up, cadence adjustable later.

    What match rate should a Oracle-sourced Meta 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 Meta; one missing both cannot. First-run feedback from Custom Audiences API pinpoints audience refresh cadence, the number enterprise data teams on Oracle tune against.

    NEXT STEP

    Oracle to Meta Custom Audience, in production this week.

    Talk to our team All Oracle use cases