CONNECTIONS / Microsoft SQL Server / SQL Server to OpenAI Offline CAPI
Your SQL Server tables, wired to OpenAI's Offline Conversions API.
Connect SQL Server and point Signals at your SQL Server tables; it reports downstream revenue as OpenAI's conversion measurement comes online each time the read runs, hashed and consent-checked for OpenAI.
- ● sql server → openai.capi :: live
- > read closed_deals rows=73,720
- hash sha256(email,phone) consent=filtered
- route openai deliver
- ✓ delivered · 58,239 matched
WHAT THIS ENABLES
SQL Server to OpenAI Offline CAPI
SQL Server to OpenAI Offline CAPI: Signals reads your SQL Server tables and reports downstream revenue as OpenAI's conversion measurement comes online, hashed and consent-checked each time the read runs.
- Offline and in-store sales from your SQL Server tables activated for OpenAI, as Signals reports downstream revenue as OpenAI's conversion measurement comes online.
- A revenue feed ready the moment OpenAI's offline measurement expands, drawn from your SQL Server tables by data teams running SQL Server.
The click, the conversion, and the credit.
The conversion happens off OpenAI, away from any pixel. Here is how Microsoft SQL Server closes the loop.
Built for the teams that own the number.
Data teams running SQL Server activating OpenAI's Offline Conversions API straight from SQL Server tables.
From kickoff to verified events.
-
Connect
A read-only database user scoped to the SQL Server tables you name to feed OpenAI's Offline Conversions API, sized for the emerging OpenAI ad surface.
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Map
A scheduled read pulls your SQL Server tables, and its columns map to OpenAI's Offline Conversions API in the visual mapper, hashed and checked for the emerging OpenAI ad surface.
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Deliver
On each run, Signals pulls your SQL Server tables, reports downstream revenue as OpenAI's conversion measurement comes online, and reads only the records changed since the last run, with the emerging OpenAI ad surface 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 SQL Server records the event. |
What Offline CAPI actually receives.
- ● signals :: event payload
- > POST /offline_conversions source=microsoft-sql-server.closed_deals
- event_name "Purchase" · event_time 1784434997
- em sha256 "2b9d64…" · value 32062 · currency USD
- ✓ accepted · row_status delivered
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How often does the SQL Server OpenAI Offline CAPI sync run?
Delivery tracks SQL Server, run by data teams running SQL Server: a near-real-time or scheduled sync of your SQL Server tables feeds OpenAI on that cadence. Each run reads only the records changed since the last run, so measurement in place before the surface scales holds up on the emerging OpenAI ad surface. The live debugger confirms every delivery inline.
What match rate should a SQL Server-sourced OpenAI Offline CAPI batch expect?
Match rate follows identifier coverage in your SQL Server tables, which data teams running SQL Server control, not SQL Server 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 data teams running SQL Server tune against.
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