CONNECTIONS / Microsoft Excel / Microsoft Excel to Google OCI
Your Excel workbook rows, wired to Google Ads offline conversion import.
Signals reads your Excel workbook rows through read-only access to the Excel workbook you name, then reconciles closed-won revenue to the Google Ads click through GCLID so Google Ads sees offline conversions without an export.
- ● microsoft excel → google.oci :: live
- > read closed_deals rows=66,441
- hash sha256(email,phone) consent=filtered
- route google deliver
- ✓ delivered · 57,804 matched
WHAT THIS ENABLES
Microsoft Excel to Google Offline Conversions
Microsoft Excel to Google Offline Conversions: your Excel workbook rows, hashed and consent-checked, feed Google Ads as Signals reconciles closed-won revenue to the Google Ads click through GCLID each time a new file lands.
- Signals reconciles closed-won revenue to the Google Ads click through GCLID, reading your Excel workbook rows each time a new file lands.
- A clean line from click to closed revenue, 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 Smart Bidding trained on booked revenue instead of a mid-funnel proxy out of Excel workbook rows.
From kickoff to verified events.
-
Connect
Read-only access to the Excel workbook you name, mapped to Google Ads' Offline Conversion Import (Google Ads API) and tuned for GCLID coverage.
-
Map
Columns from your Excel workbook rows align to Google Ads' Offline Conversion Import (Google Ads API) in the visual mapper, hashed as the file lands and checked for GCLID coverage.
-
Deliver
Each time a new file lands, Signals reads your Excel workbook rows and reconciles closed-won revenue to the Google Ads click through GCLID, processes only the newly dropped file, with GCLID coverage 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 OCI 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 OCI actually receives.
- ● signals :: event payload
- > POST /offline_conversion_import source=microsoft-excel.closed_deals
- gclid "Cj0KCQjw…" · conversion_action "closed_won"
- conversion_date_time "2026-07-17T16:54:37"
- conversion_value 22609 · currency_code USD
- ✓ accepted · batch=nightly
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How often does the Microsoft Excel Google OCI 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, Smart Bidding trained on booked revenue instead of a mid-funnel proxy keeps pace and finance and ops teams working in Excel watch GCLID coverage. One scoped connection sets it up, cadence adjustable later.
What match rate should a Microsoft Excel-sourced Google OCI 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 Offline Conversion Import (Google Ads API) pinpoints GCLID coverage, the number finance and ops teams working in Excel tune against.
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