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    CONNECTIONS / Apache Cassandra / Apache Cassandra to TikTok Custom Audience

    From Cassandra tables to TikTok audience targeting.

    Connect Apache Cassandra and point Signals at your Cassandra tables; it delivers first-party segments to TikTok as match-ready custom audiences each time the read runs, hashed and consent-checked for TikTok.

    Talk to our team Explore the setup

    apache-cassandra -> tiktok-custom-audience :: live

    1. ● apache cassandra → tiktok.audience :: live
    2. > read segments rows=73,537
    3. hash sha256(email,phone) consent=filtered
    4. route tiktok deliver
    5. ✓ delivered · 56,623 matched

    WHAT THIS ENABLES

    Apache Cassandra to TikTok Custom Audience

    Apache Cassandra to TikTok Custom Audience: Signals reads your Cassandra tables and delivers first-party segments to TikTok as match-ready custom audiences, hashed and consent-checked each time the read runs.

    • Customer segments from your Cassandra tables activated for TikTok, as Signals delivers first-party segments to TikTok as match-ready custom audiences.
    • TikTok custom audiences mirroring the segment your data team publishes, drawn from your Cassandra tables by platform teams running Cassandra.

    WHAT FLOWS WHERE

    Apache Cassandra to Custom Audience, mapped.

    A scheduled read pulls the customer segments from your Cassandra tables; Signals hashes and consent-screens each record before TikTok's Custom Audience API accepts the match-ready audiences for match quality on TikTok.

    A scheduled read pulls the customer segments from your Cassandra tables; Signals hashes and consent-screens each record before TikTok's Custom Audience API accepts the match-ready audiences for match quality on TikTok.

    WHO THIS IS FOR

    Built for the teams that own the number.

    TikTok advertisers seeding lookalikes and suppressing existing customers, with the records already in Cassandra tables and materialized views.

    Platform teams running Cassandra activating TikTok audience targeting straight from Cassandra tables.

    HOW DATAHASH SETS IT UP

    From kickoff to verified events.

    1. Connect

      A read-only database user scoped to the Cassandra tables you name to feed TikTok's Custom Audience API, sized for match quality on TikTok.

    2. Map

      A scheduled read pulls your Cassandra tables, and its columns map to TikTok's Custom Audience API in the visual mapper, hashed and checked for match quality on TikTok.

    3. Deliver

      On each run, Signals pulls your Cassandra tables, delivers first-party segments to TikTok as match-ready custom audiences, and reads only the records changed since the last run, with match quality on TikTok in the debugger.

    WHAT YOU GET

    What ships with this use case.

    TikTok custom audiences mirroring the segment your data team publishes on every run, as Signals reads your Cassandra tables and reads only the records changed since the last run.

    Targeting that mirrors your live segment from your Cassandra tables, with read load on the database steady because Signals reads only the records changed since the last run.

    A per-run match report from TikTok's Custom Audience API on match quality on TikTok, straight out of your Cassandra tables.

    ON THE WIRE

    What Custom Audience actually receives.

    signals :: apache-cassandra.tiktok-custom-audience :: wire

    1. ● signals :: audience upload
    2. > POST /dmp/custom_audience source=apache-cassandra.segments
    3. id_schema ["EMAIL_SHA256","PHONE_SHA256"]
    4. action "add" · audience_id "aud_98638"
    5. id_list_size 73,537 · matched 56,623
    6. ✓ accepted match=77%
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    FAQ

    Asked on almost every call.

    How often does the Apache Cassandra TikTok Custom Audience sync run?

    You set the cadence, from near-real-time to a nightly Apache Cassandra sync of your Cassandra 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 platform teams running Cassandra watch match quality on TikTok. One scoped connection sets it up, cadence adjustable later.

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

    In Apache Cassandra, match rate tracks the email and phone quality your Cassandra tables carry. Clean identifiers land for TikTok; blank ones never will. The first Custom Audience API report shows platform teams running Cassandra where match quality on TikTok needs work, a data-quality task handled in Apache Cassandra.

    NEXT STEP

    Apache Cassandra to TikTok Custom Audience, in production this week.

    Talk to our team All Apache Cassandra use cases