CONNECTIONS / Microsoft Excel / Microsoft Excel to Google Store Sales
Your Excel workbook rows, wired to Google Store Sales matching.
Signals reads your Excel workbook rows through read-only access to the Excel workbook you name, then matches in-person transactions to Google accounts as store-sales conversions so Google Ads sees offline conversions without an export.
- ● microsoft excel → google.sales :: live
- > read closed_deals rows=36,085
- hash sha256(email,phone) consent=filtered
- route google deliver
- ✓ delivered · 29,590 matched
WHAT THIS ENABLES
Microsoft Excel to Google Store Sales
Microsoft Excel to Google Store Sales: your Excel workbook rows, hashed and consent-checked, feed Google Ads as Signals matches in-person transactions to Google accounts as store-sales conversions each time a new file lands.
- Signals matches in-person transactions to Google accounts as store-sales conversions, reading your Excel workbook rows each time a new file lands.
- Store visits reconciled to campaign spend, with no export step out of your Excel workbook rows.
The click, the conversion, and the credit.
The conversion happens off Google, away from any pixel. Here is how Microsoft Excel closes the loop.
Built for the teams that own the number.
Finance and ops teams working in Excel who need counter and showroom revenue inside the same ROAS view as online orders out of Excel workbook rows.
From kickoff to verified events.
-
Connect
Read-only access to the Excel workbook you name, mapped to Google Ads' Store Sales Direct API and tuned for the store-sales match rate.
-
Map
Columns from your Excel workbook rows align to Google Ads' Store Sales Direct API in the visual mapper, hashed as the file lands and checked for the store-sales match rate.
-
Deliver
Each time a new file lands, Signals reads your Excel workbook rows and matches in-person transactions to Google accounts as store-sales conversions, processes only the newly dropped file, with the store-sales match rate watched 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 Microsoft Excel records the event. |
What Store Sales actually receives.
- ● signals :: store sales upload
- > POST /offline_user_data_jobs source=microsoft-excel.closed_deals
- transaction_time 2026-07-23T03:34:56 · transaction_amount_micros 33000000000
- currency_code AED
- hashed_email sha256 "6d2e91…" · hashed_last_name sha256 "cc410a…"
- ✓ accepted match=82%
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How often does the Microsoft Excel Google Store Sales sync run?
You set the cadence, from near-real-time to a nightly Microsoft Excel sync of your Excel workbook 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 finance and ops teams working in Excel watch the store-sales match rate. One scoped connection sets it up, cadence adjustable later.
What match rate should a Microsoft Excel-sourced Google Store Sales batch expect?
Match rate follows identifier coverage in your Excel workbook rows, which finance and ops teams working in Excel control, not Microsoft Excel 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 finance and ops teams working in Excel tune against.
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