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    CONNECTIONS / Microsoft SQL Server / SQL Server to Google Store Sales

    Your SQL Server tables, wired to Google Store Sales matching.

    Connect SQL Server and point Signals at your SQL Server 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

    microsoft-sql-server -> google-store-sales :: live

    1. ● sql server → google.sales :: live
    2. > read closed_deals rows=42,340
    3. hash sha256(email,phone) consent=filtered
    4. route google deliver
    5. ✓ delivered · 33,449 matched

    WHAT THIS ENABLES

    SQL Server to Google Store Sales

    SQL Server to Google Store Sales: Signals reads your SQL Server tables and matches in-person transactions to Google accounts as store-sales conversions, hashed and consent-checked each time the read runs.

    • Offline and in-store sales from your SQL Server 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 SQL Server tables by data teams running SQL Server.
    WHAT FLOWS WHERE

    The click, the conversion, and the credit.

    The conversion happens off Google, away from any pixel. Here is how Microsoft SQL Server closes the loop.

    Google credits the campaign that sourced the conversion conversion happens off-platform Ad click on Google Scheduled read sync recorded in Microsoft SQL… 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 SQL Server tables, views, and indexed views.

    Data teams running SQL Server activating Google Store Sales matching straight from SQL Server tables.

    HOW DATAHASH SETS IT UP

    From kickoff to verified events.

    1. Connect

      A read-only database user scoped to the SQL Server 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 SQL Server 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 SQL Server 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 Microsoft SQL Server records the event.
    ON THE WIRE

    What Store Sales actually receives.

    signals :: microsoft-sql-server.google-store-sales :: wire

    1. ● signals :: store sales upload
    2. > POST /offline_user_data_jobs source=microsoft-sql-server.closed_deals
    3. transaction_time 2026-07-23T01:00:05 · transaction_amount_micros 42850000000
    4. currency_code USD
    5. hashed_email sha256 "6d2e91…" · hashed_last_name sha256 "cc410a…"
    6. ✓ accepted match=79%
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    FAQ

    Asked on almost every call.

    How often does the SQL Server Google Store Sales sync run?

    Delivery tracks SQL Server, run by data teams running SQL Server: a near-real-time or scheduled sync of your SQL Server tables feeds Google Ads on that cadence. Each run reads only the records changed since the last run, so store visits reconciled to campaign spend holds up on the store-sales match rate. The live debugger confirms every delivery inline.

    What match rate should a SQL Server-sourced Google Store Sales batch expect?

    Match rate follows identifier coverage in your SQL Server tables, which data teams running SQL Server control, not SQL Server itself. A record with a current hashed email or phone matches for Google Ads; one missing both cannot. First-run feedback from Store Sales Direct API pinpoints the store-sales match rate, the number data teams running SQL Server tune against.

    NEXT STEP

    SQL Server to Google Store Sales, in production this week.

    Talk to our team All Microsoft SQL Server use cases