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    CONNECTIONS / IBM DB2 / IBM DB2 to Meta Offline CAPI

    Db2 tables into Meta, built for Meta's offline optimization.

    Connect IBM DB2 and point Signals at your Db2 tables; it credits dealer, branch, and phone sales to the Meta campaigns behind them each time the read runs, hashed and consent-checked for Meta.

    Talk to our team Explore the setup

    ibm-db2 -> meta-offline-capi :: live

    1. ● ibm db2 → meta.capi :: live
    2. > read closed_deals rows=11,985
    3. hash sha256(email,phone) consent=filtered
    4. route meta deliver
    5. ✓ delivered · 10,067 matched

    WHAT THIS ENABLES

    IBM DB2 to Meta Offline CAPI

    Meta Offline CAPI for IBM DB2: Signals credits dealer, branch, and phone sales to the Meta campaigns behind them straight from your Db2 tables, hashed and consent-screened each time the read runs.

    • Offline and in-store sales from your Db2 tables activated for Meta, as Signals credits dealer, branch, and phone sales to the Meta campaigns behind them.
    • In-store and phone revenue joining Meta's optimization loop, drawn from your Db2 tables by enterprise data teams on IBM DB2.
    WHAT FLOWS WHERE

    The click, the conversion, and the credit.

    The conversion happens off Meta, away from any pixel. Here is how IBM DB2 closes the loop.

    Meta credits the campaign that sourced the conversion conversion happens off-platform Ad click on Meta Scheduled read sync recorded in IBM DB2 S Signals hash · dedupe Offline Conversions API delivered · credited
    WHO THIS IS FOR

    Built for the teams that own the number.

    Considered-purchase brands closing revenue far from the browser, with the records already in Db2 tables and views.

    Enterprise data teams on IBM DB2 activating Meta's offline optimization straight from Db2 tables.

    HOW DATAHASH SETS IT UP

    From kickoff to verified events.

    1. Connect

      A read-only database user scoped to the Db2 tables you name to feed Meta's Offline Conversions API, sized for Meta's 62-day event window.

    2. Map

      A scheduled read pulls your Db2 tables, and its columns map to Meta's Offline Conversions API in the visual mapper, hashed and checked for Meta's 62-day event window.

    3. Deliver

      On each run, Signals pulls your Db2 tables, credits dealer, branch, and phone sales to the Meta campaigns behind them, and reads only the records changed since the last run, with Meta's 62-day event window in the debugger.

    WHAT YOU GET

    What changes when the CSV goes away.

    Capability Manual CSV upload Datahash
    Reporting Offline sales sit in a separate export, reconciled by hand. Revenue counted in the same Offline CAPI reporting as web conversions.
    Deduplication A re-uploaded file risks counting the same conversion twice. Deduped delivery, so a resent record never counts as a second conversion.
    Match visibility Match quality is a guess until the numbers look off. Match rate reported per upload, tied to the source event set that produced it.
    Effort and latency An analyst exports and uploads on a manual cadence. Server-side and automatic the moment IBM DB2 records the event.
    ON THE WIRE

    What Offline CAPI actually receives.

    signals :: ibm-db2.meta-offline-capi :: wire

    1. ● signals :: event payload
    2. > POST /offline_conversions source=ibm-db2.closed_deals
    3. event_name "Purchase" · event_time 2026-07-21T00:22:34
    4. value 33469.00 · currency GBP
    5. em sha256 "1fa603…" · ph sha256 "eb2201…" · external_id "txn-48354"
    6. ✓ accepted match=84%
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    FAQ

    Asked on almost every call.

    How often does the IBM DB2 Meta Offline CAPI sync run?

    The pace follows your Db2 tables: Signals sends changes from IBM DB2 to Meta each time the read runs. Because it reads only the records changed since the last run, in-store and phone revenue joining Meta's optimization loop stays current while enterprise data teams on IBM DB2 keep Meta's 62-day event window in view. Delivery needs no export and no manual upload.

    What match rate should a IBM DB2-sourced Meta Offline CAPI batch expect?

    Coverage of hashed identifiers across your Db2 tables decides it, and enterprise data teams on IBM DB2 own that inside IBM DB2. A live email or phone matches into Meta; neither, and it will not. First-run feedback flags Meta's 62-day event window, which enterprise data teams on IBM DB2 then raise inside your Db2 tables.

    NEXT STEP

    IBM DB2 to Meta Offline CAPI, in production this week.

    Talk to our team All IBM DB2 use cases