CONNECTIONS / Microsoft Excel / Microsoft Excel to OpenAI Offline CAPI
Your Excel workbook rows, wired to OpenAI's Offline Conversions API.
Signals reads your Excel workbook rows through read-only access to the Excel workbook you name, then reports downstream revenue as OpenAI's conversion measurement comes online so OpenAI sees offline conversions without an export.
- ● microsoft excel → openai.capi :: live
- > read closed_deals rows=33,646
- hash sha256(email,phone) consent=filtered
- route openai deliver
- ✓ delivered · 29,608 matched
WHAT THIS ENABLES
Microsoft Excel to OpenAI Offline CAPI
Microsoft Excel to OpenAI Offline CAPI: your Excel workbook rows, hashed and consent-checked, feed OpenAI as Signals reports downstream revenue as OpenAI's conversion measurement comes online each time a new file lands.
- Signals reports downstream revenue as OpenAI's conversion measurement comes online, reading your Excel workbook rows each time a new file lands.
- Measurement in place before the surface scales, with no export step out of your Excel workbook rows.
The click, the conversion, and the credit.
The conversion happens off OpenAI, 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 a revenue feed ready the moment OpenAI's offline measurement expands out of Excel workbook rows.
From kickoff to verified events.
-
Connect
Read-only access to the Excel workbook you name, mapped to OpenAI's Offline Conversions API and tuned for the emerging OpenAI ad surface.
-
Map
Columns from your Excel workbook rows align to OpenAI's Offline Conversions API in the visual mapper, hashed as the file lands and checked for the emerging OpenAI ad surface.
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Deliver
Each time a new file lands, Signals reads your Excel workbook rows and reports downstream revenue as OpenAI's conversion measurement comes online, processes only the newly dropped file, with the emerging OpenAI ad surface 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 Offline CAPI 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 Offline CAPI actually receives.
- ● signals :: event payload
- > POST /offline_conversions source=microsoft-excel.closed_deals
- event_name "Purchase" · event_time 1784607218
- em sha256 "2b9d64…" · value 44102 · currency GBP
- ✓ accepted · row_status delivered
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How often does the Microsoft Excel OpenAI Offline CAPI sync run?
You set the cadence, from near-real-time to a nightly Microsoft Excel sync of your Excel workbook rows into OpenAI. Since Signals processes only the newly dropped file, a revenue feed ready the moment OpenAI's offline measurement expands keeps pace and finance and ops teams working in Excel watch the emerging OpenAI ad surface. One scoped connection sets it up, cadence adjustable later.
What match rate should a Microsoft Excel-sourced OpenAI Offline CAPI 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 OpenAI; one missing both cannot. First-run feedback from Offline Conversions API pinpoints the emerging OpenAI ad surface, the number finance and ops teams working in Excel tune against.
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