CONNECTIONS / Google Sheets / Google Sheets to Google Store Sales
Your Google Sheets rows, wired to Google Store Sales matching.
Connect Google Sheets and point Signals at your Google Sheets rows; it matches in-person transactions to Google accounts as store-sales conversions each time a new file lands, hashed and consent-checked for Google Ads.
- ● google sheets → google.sales :: live
- > read closed_deals rows=62,293
- hash sha256(email,phone) consent=filtered
- route google deliver
- ✓ delivered · 52,949 matched
WHAT THIS ENABLES
Google Sheets to Google Store Sales
Google Sheets to Google Store Sales: Signals reads your Google Sheets rows and matches in-person transactions to Google accounts as store-sales conversions, hashed and consent-checked each time a new file lands.
- Offline and in-store sales from your Google Sheets rows 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 Google Sheets rows by ops teams maintaining Google Sheets.
The click, the conversion, and the credit.
The conversion happens off Google, away from any pixel. Here is how Google Sheets closes the loop.
Built for the teams that own the number.
Ops teams maintaining Google Sheets activating Google Store Sales matching straight from Google Sheets rows.
From kickoff to verified events.
-
Connect
Read-only OAuth access to the Google Sheet you name to feed Google Ads' Store Sales Direct API, sized for the store-sales match rate.
-
Map
Signals picks up your Google Sheets rows, and its columns map to Google Ads' Store Sales Direct API in the visual mapper, hashed and checked for the store-sales match rate.
-
Deliver
On each run, Signals pulls your Google Sheets rows, matches in-person transactions to Google accounts as store-sales conversions, and processes only the newly dropped file, with the store-sales match rate in the debugger.
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 Google Sheets records the event. |
What Store Sales actually receives.
- ● signals :: store sales upload
- > POST /offline_user_data_jobs source=google-sheet.closed_deals
- transaction_time 2026-07-13T18:20:11 · transaction_amount_micros 17139000000
- currency_code SAR
- hashed_email sha256 "6d2e91…" · hashed_last_name sha256 "cc410a…"
- ✓ accepted match=85%
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How often does the Google Sheets Google Store Sales sync run?
You set the cadence, from near-real-time to a nightly Google Sheets sync of your Google Sheets rows into Google Ads. Since Signals processes only the newly dropped file, counter and showroom revenue inside the same ROAS view as online orders keeps pace and ops teams maintaining Google Sheets watch the store-sales match rate. One scoped connection sets it up, cadence adjustable later.
What match rate should a Google Sheets-sourced Google Store Sales batch expect?
In Google Sheets, match rate tracks the email and phone quality your Google Sheets rows carry. Clean identifiers land for Google Ads; blank ones never will. The first Store Sales Direct API report shows ops teams maintaining Google Sheets where the store-sales match rate needs work, a data-quality task handled in Google Sheets.
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