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    CONNECTIONS / PostgreSQL / PostgreSQL to TikTok CRM

    Your PostgreSQL tables, wired to TikTok CRM lead optimization.

    Signals reads your PostgreSQL tables through a read-only database user scoped to the PostgreSQL tables you name, then reports pipeline-stage changes to TikTok as distinct optimizable events so TikTok sees lead conversions without an export.

    Talk to our team Explore the setup

    postgresql -> tiktok-crm-integration :: live

    1. ● postgresql → tiktok.crm :: live
    2. > read lead_pipeline rows=9,595
    3. hash sha256(email,phone) consent=filtered
    4. route tiktok deliver
    5. ✓ delivered · 7,964 matched

    WHAT THIS ENABLES

    PostgreSQL to TikTok CRM Integration

    TikTok CRM Integration for PostgreSQL: Signals reports pipeline-stage changes to TikTok as distinct optimizable events straight from your PostgreSQL tables, hashed and consent-screened each time the read runs.

    • Signals reports pipeline-stage changes to TikTok as distinct optimizable events, reading your PostgreSQL tables each time the read runs.
    • Funnel-depth events TikTok can optimize on, with no export step out of your PostgreSQL tables.

    WHAT FLOWS WHERE

    PostgreSQL to CRM Integration, mapped.

    Signals reads the qualified-lead and pipeline signals from your PostgreSQL tables each time the read runs, hashes and screens each record, and posts the lead conversions to TikTok's CRM Events API, keeping stage-to-event mapping in view.

    Signals reads the qualified-lead and pipeline signals from your PostgreSQL tables each time the read runs, hashes and screens each record, and posts the lead conversions to TikTok's CRM Events API, keeping stage-to-event mapping in view.

    WHO THIS IS FOR

    Built for the teams that own the number.

    TikTok lead-gen advertisers tracking qualification, not form counts, working out of PostgreSQL tables, views, and materialized views.

    Engineering teams running PostgreSQL who need TikTok bidding on the funnel depth your revenue reporting reads 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 TikTok's CRM Events API and tuned for stage-to-event mapping.

    2. Map

      Columns from your PostgreSQL tables align to TikTok's CRM Events API in the visual mapper, hashed as the read runs and checked for stage-to-event mapping.

    3. Deliver

      Each time the read runs, Signals reads your PostgreSQL tables and reports pipeline-stage changes to TikTok as distinct optimizable events, reads only the records changed since the last run, with stage-to-event mapping watched in the debugger.

    WHAT YOU GET

    What ships with this use case.

    TikTok bidding on the funnel depth your revenue reporting reads from your PostgreSQL tables, delivered each time the read runs.

    Funnel-depth events TikTok can optimize on out of your PostgreSQL tables, delivered each time the read runs without read load on the database climbing.

    Match feedback on stage-to-event mapping from TikTok's CRM Events API each run, tied back to your PostgreSQL tables.

    ON THE WIRE

    What CRM Integration actually receives.

    signals :: postgresql.tiktok-crm-integration :: wire

    1. ● signals :: event payload
    2. > POST /event/track source=postgresql.lead_pipeline
    3. event "Contact" · event_time 1784126540
    4. user.email sha256 "8f21ce…" · user.phone sha256 "019d7a…"
    5. properties.lead_status "Qualified"
    6. ✓ accepted · dedupe=event_id
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    FAQ

    Asked on almost every call.

    How often does the PostgreSQL TikTok CRM sync run?

    Delivery tracks PostgreSQL, run by engineering teams running PostgreSQL: a near-real-time or scheduled sync of your PostgreSQL tables feeds TikTok on that cadence. Each run reads only the records changed since the last run, so funnel-depth events TikTok can optimize on holds up on stage-to-event mapping. The live debugger confirms every delivery inline.

    What match rate should a PostgreSQL-sourced TikTok CRM 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 TikTok; neither, and it will not. First-run feedback flags stage-to-event mapping, which engineering teams running PostgreSQL then raise inside your PostgreSQL tables.

    NEXT STEP

    PostgreSQL to TikTok CRM, in production this week.

    Talk to our team All PostgreSQL use cases