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    CONNECTIONS / MongoDB / MongoDB to Google Store Sales

    From MongoDB collections to Google Store Sales matching.

    Signals reads your MongoDB collections through a read-only database user scoped to the MongoDB collections you name, then matches in-person transactions to Google accounts as store-sales conversions so Google Ads sees offline conversions without an export.

    Talk to our team Explore the setup

    mongodb -> google-store-sales :: live

    1. ● mongodb → google.sales :: live
    2. > read closed_deals rows=70,318
    3. hash sha256(email,phone) consent=filtered
    4. route google deliver
    5. ✓ delivered · 57,661 matched

    WHAT THIS ENABLES

    MongoDB to Google Store Sales

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

    • Signals matches in-person transactions to Google accounts as store-sales conversions, reading your MongoDB collections each time the read runs.
    • Store visits reconciled to campaign spend, with no export step out of your MongoDB collections.
    WHAT FLOWS WHERE

    The click, the conversion, and the credit.

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

    Google credits the campaign that sourced the conversion conversion happens off-platform Ad click on Google Scheduled read sync recorded in MongoDB 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, working out of MongoDB collections and aggregation views.

    Application teams running MongoDB who need counter and showroom revenue inside the same ROAS view as online orders out of MongoDB collections.

    HOW DATAHASH SETS IT UP

    From kickoff to verified events.

    1. Connect

      A read-only database user scoped to the MongoDB collections you name, mapped to Google Ads' Store Sales Direct API and tuned for the store-sales match rate.

    2. Map

      Columns from your MongoDB collections align to Google Ads' Store Sales Direct API in the visual mapper, hashed as the read runs and checked for the store-sales match rate.

    3. Deliver

      Each time the read runs, Signals reads your MongoDB collections and matches in-person transactions to Google accounts as store-sales conversions, reads only the records changed since the last run, with the store-sales match rate watched 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 MongoDB records the event.
    ON THE WIRE

    What Store Sales actually receives.

    signals :: mongodb.google-store-sales :: wire

    1. ● signals :: store sales upload
    2. > POST /offline_user_data_jobs source=mongodb.closed_deals
    3. transaction_time 2026-07-18T17:47:44 · transaction_amount_micros 24496000000
    4. currency_code AED
    5. hashed_email sha256 "6d2e91…" · hashed_last_name sha256 "cc410a…"
    6. ✓ accepted match=82%
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    FAQ

    Asked on almost every call.

    How often does the MongoDB Google Store Sales sync run?

    The pace follows your MongoDB collections: Signals sends changes from MongoDB 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 application teams running MongoDB keep the store-sales match rate in view. Delivery needs no export and no manual upload.

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

    In MongoDB, match rate tracks the email and phone quality your MongoDB collections carry. Clean identifiers land for Google Ads; blank ones never will. The first Store Sales Direct API report shows application teams running MongoDB where the store-sales match rate needs work, a data-quality task handled in MongoDB.

    NEXT STEP

    MongoDB to Google Store Sales, in production this week.

    Talk to our team All MongoDB use cases