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    CONNECTIONS / IBM DB2 / IBM DB2 to Google OCI

    Db2 tables into Google Ads, built for Google Ads offline conversion import.

    Connect IBM DB2 and point Signals at your Db2 tables; it reconciles closed-won revenue to the Google Ads click through GCLID each time the read runs, hashed and consent-checked for Google Ads.

    Talk to our team Explore the setup

    ibm-db2 -> google-oci :: live

    1. ● ibm db2 → google.oci :: live
    2. > read closed_deals rows=14,349
    3. hash sha256(email,phone) consent=filtered
    4. route google deliver
    5. ✓ delivered · 12,053 matched

    WHAT THIS ENABLES

    IBM DB2 to Google Offline Conversions

    Google Offline Conversions for IBM DB2: Signals reconciles closed-won revenue to the Google Ads click through GCLID 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 Google Ads, as Signals reconciles closed-won revenue to the Google Ads click through GCLID.
    • Smart Bidding trained on booked revenue instead of a mid-funnel proxy, 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 Google, away from any pixel. Here is how IBM DB2 closes the loop.

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

    Built for the teams that own the number.

    Advertisers whose Google-sourced deals close days after the click, with the records already in Db2 tables and views.

    Enterprise data teams on IBM DB2 activating Google Ads offline conversion import 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 Google Ads' Offline Conversion Import (Google Ads API), sized for GCLID coverage.

    2. Map

      A scheduled read pulls your Db2 tables, and its columns map to Google Ads' Offline Conversion Import (Google Ads API) in the visual mapper, hashed and checked for GCLID coverage.

    3. Deliver

      On each run, Signals pulls your Db2 tables, reconciles closed-won revenue to the Google Ads click through GCLID, and reads only the records changed since the last run, with GCLID coverage 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 OCI 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 OCI actually receives.

    signals :: ibm-db2.google-oci :: wire

    1. ● signals :: event payload
    2. > POST /offline_conversion_import source=ibm-db2.closed_deals
    3. gclid "Cj0KCQjw…" · conversion_action "closed_won"
    4. conversion_date_time "2026-07-20T04:21:10"
    5. conversion_value 47346 · currency_code GBP
    6. ✓ accepted · batch=nightly
    RELATED USE CASES

    Adjacent moves on the same stack.

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    generic

    Google Offline Conversion Import

    Datahash automates GCLID-based OCI uploads to Google Ads so click-based offline conversions…

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    FAQ

    Asked on almost every call.

    How often does the IBM DB2 Google OCI sync run?

    The pace follows your Db2 tables: Signals sends changes from IBM DB2 to Google Ads each time the read runs. Because it reads only the records changed since the last run, Smart Bidding trained on booked revenue instead of a mid-funnel proxy stays current while enterprise data teams on IBM DB2 keep GCLID coverage in view. Delivery needs no export and no manual upload.

    What match rate should a IBM DB2-sourced Google OCI 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 Google Ads; neither, and it will not. First-run feedback flags GCLID coverage, which enterprise data teams on IBM DB2 then raise inside your Db2 tables.

    NEXT STEP

    IBM DB2 to Google OCI, in production this week.

    Talk to our team All IBM DB2 use cases