CONNECTIONS / IBM DB2 / IBM DB2 to OpenAI Offline CAPI
Db2 tables into OpenAI, built for OpenAI's Offline Conversions API.
Connect IBM DB2 and point Signals at your Db2 tables; it reports downstream revenue as OpenAI's conversion measurement comes online each time the read runs, hashed and consent-checked for OpenAI.
- ● ibm db2 → openai.capi :: live
- > read closed_deals rows=48,862
- hash sha256(email,phone) consent=filtered
- route openai deliver
- ✓ delivered · 41,533 matched
WHAT THIS ENABLES
IBM DB2 to OpenAI Offline CAPI
OpenAI Offline CAPI for IBM DB2: Signals reports downstream revenue as OpenAI's conversion measurement comes online straight from your Db2 tables, hashed and consent-screened each time the read runs.
- Offline and in-store sales from your Db2 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 Db2 tables by enterprise data teams on IBM DB2.
The click, the conversion, and the credit.
The conversion happens off OpenAI, away from any pixel. Here is how IBM DB2 closes the loop.
Built for the teams that own the number.
Enterprise data teams on IBM DB2 activating OpenAI's Offline Conversions API straight from Db2 tables.
From kickoff to verified events.
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Connect
A read-only database user scoped to the Db2 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 Db2 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 Db2 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 IBM DB2 records the event. |
What Offline CAPI actually receives.
- ● signals :: event payload
- > POST /offline_conversions source=ibm-db2.closed_deals
- event_name "Purchase" · event_time 1784240555
- em sha256 "2b9d64…" · value 18457 · currency SAR
- ✓ accepted · row_status delivered
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How often does the IBM DB2 OpenAI Offline CAPI sync run?
The pace follows your Db2 tables: Signals sends changes from IBM DB2 to OpenAI each time the read runs. Because it reads only the records changed since the last run, a revenue feed ready the moment OpenAI's offline measurement expands stays current while enterprise data teams on IBM DB2 keep the emerging OpenAI ad surface in view. Delivery needs no export and no manual upload.
What match rate should a IBM DB2-sourced OpenAI Offline CAPI batch expect?
Coverage of hashed identifiers across your Db2 tables decides it, and enterprise data teams on IBM DB2 own that inside IBM DB2. A live email or phone matches into OpenAI; neither, and it will not. First-run feedback flags the emerging OpenAI ad surface, which enterprise data teams on IBM DB2 then raise inside your Db2 tables.
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