Jump to a popular page, or start typing.
    Talk to our team

    CONNECTIONS / IBM DB2 / IBM DB2 to Google Store Sales

    Db2 tables into Google Ads, built for Google Store Sales matching.

    Connect IBM DB2 and point Signals at your Db2 tables; it matches in-person transactions to Google accounts as store-sales conversions each time the read runs, hashed and consent-checked for Google Ads.

    Talk to our team Explore the setup

    ibm-db2 -> google-store-sales :: live

    1. ● ibm db2 → google.sales :: live
    2. > read closed_deals rows=66,682
    3. hash sha256(email,phone) consent=filtered
    4. route google deliver
    5. ✓ delivered · 56,680 matched

    WHAT THIS ENABLES

    IBM DB2 to Google Store Sales

    Google Store Sales for IBM DB2: Signals matches in-person transactions to Google accounts as store-sales conversions 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 matches in-person transactions to Google accounts as store-sales conversions.
    • Counter and showroom revenue inside the same ROAS view as online orders, 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 Store Sales Direct API delivered · credited
    WHO THIS IS FOR

    Built for the teams that own the number.

    Omnichannel retailers reconciling point-of-sale against Google spend, with the records already in Db2 tables and views.

    Enterprise data teams on IBM DB2 activating Google Store Sales matching 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' Store Sales Direct API, sized for the store-sales match rate.

    2. Map

      A scheduled read pulls your Db2 tables, and its columns map to Google Ads' Store Sales Direct API in the visual mapper, hashed and checked for the store-sales match rate.

    3. Deliver

      On each run, Signals pulls your Db2 tables, matches in-person transactions to Google accounts as store-sales conversions, and reads only the records changed since the last run, with the store-sales match rate 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 Store Sales 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 Store Sales actually receives.

    signals :: ibm-db2.google-store-sales :: wire

    1. ● signals :: store sales upload
    2. > POST /offline_user_data_jobs source=ibm-db2.closed_deals
    3. transaction_time 2026-07-21T20:37:11 · transaction_amount_micros 36278000000
    4. currency_code SAR
    5. hashed_email sha256 "6d2e91…" · hashed_last_name sha256 "cc410a…"
    6. ✓ accepted match=85%
    RELATED USE CASES

    Adjacent moves on the same stack.

    from IBM DB2

    IBM DB2 to Google OCI

    Google Offline Conversions for IBM DB2: Signals reconciles closed-won revenue to the Google…

    Learn more

    from IBM DB2

    IBM DB2 to Meta Offline CAPI

    Meta Offline CAPI for IBM DB2: Signals credits dealer, branch, and phone sales to the Meta…

    Learn more

    same use case

    ActiveCampaign to Google Store Sales

    ActiveCampaign to Google Store Sales: Signals reads your ActiveCampaign contacts and deal…

    Learn more

    generic

    Google Store Sales

    Datahash automates Store Sales Direct and Store Sales Customer Match uploads from your POS…

    Learn more
    FAQ

    Asked on almost every call.

    How often does the IBM DB2 Google Store Sales 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, counter and showroom revenue inside the same ROAS view as online orders stays current while enterprise data teams on IBM DB2 keep the store-sales match rate in view. Delivery needs no export and no manual upload.

    What match rate should a IBM DB2-sourced Google Store Sales 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 the store-sales match rate, which enterprise data teams on IBM DB2 then raise inside your Db2 tables.

    NEXT STEP

    IBM DB2 to Google Store Sales, in production this week.

    Talk to our team All IBM DB2 use cases