CONNECTIONS / AWS S3 / AWS S3 to OpenAI Offline CAPI
S3 exports into OpenAI, built for OpenAI's Offline Conversions API.
Signals reads your S3 exports through a read-only IAM key scoped to the one S3 bucket you name, then reports downstream revenue as OpenAI's conversion measurement comes online so OpenAI sees offline conversions without an export.
- ● aws s3 → openai.capi :: live
- > read closed_deals rows=30,154
- hash sha256(email,phone) consent=filtered
- route openai deliver
- ✓ delivered · 24,726 matched
WHAT THIS ENABLES
AWS S3 to OpenAI Offline CAPI
OpenAI Offline CAPI for AWS S3: Signals reports downstream revenue as OpenAI's conversion measurement comes online straight from your S3 exports, hashed and consent-screened each time a new file lands.
- Signals reports downstream revenue as OpenAI's conversion measurement comes online, reading your S3 exports each time a new file lands.
- Measurement in place before the surface scales, with no export step out of your S3 exports.
The click, the conversion, and the credit.
The conversion happens off OpenAI, away from any pixel. Here is how AWS S3 closes the loop.
Built for the teams that own the number.
Data teams landing exports in S3 who need a revenue feed ready the moment OpenAI's offline measurement expands out of S3 exports.
From kickoff to verified events.
-
Connect
A read-only IAM key scoped to the one S3 bucket you name, mapped to OpenAI's Offline Conversions API and tuned for the emerging OpenAI ad surface.
-
Map
Columns from your S3 exports 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 S3 exports 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 AWS S3 records the event. |
What Offline CAPI actually receives.
- ● signals :: event payload
- > POST /offline_conversions source=aws-s3.closed_deals
- event_name "Purchase" · event_time 1783915904
- em sha256 "2b9d64…" · value 40276 · currency AED
- ✓ accepted · row_status delivered
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How often does the AWS S3 OpenAI Offline CAPI sync run?
You set the cadence, from near-real-time to a nightly AWS S3 sync of your S3 exports into OpenAI. Since Signals processes only the newly dropped file, a revenue feed ready the moment OpenAI's offline measurement expands keeps pace and data teams landing exports in S3 watch the emerging OpenAI ad surface. One scoped connection sets it up, cadence adjustable later.
What match rate should a AWS S3-sourced OpenAI Offline CAPI batch expect?
Match rate follows identifier coverage in your S3 exports, which data teams landing exports in S3 control, not AWS S3 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 landing exports in S3 tune against.
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