CONNECTIONS / File drops / File drops to OpenAI Offline CAPI
Your file drops, wired to OpenAI's Offline Conversions API.
Connect File drops and point Signals at your file drops; it reports downstream revenue as OpenAI's conversion measurement comes online each time a new file lands, hashed and consent-checked for OpenAI.
- ● file drops → openai.capi :: live
- > read closed_deals rows=70,579
- hash sha256(email,phone) consent=filtered
- route openai deliver
- ✓ delivered · 59,992 matched
WHAT THIS ENABLES
File drops to OpenAI Offline CAPI
File drops to OpenAI Offline CAPI: your file drops, hashed and consent-checked, feed OpenAI as Signals reports downstream revenue as OpenAI's conversion measurement comes online each time a new file lands.
- Offline and in-store sales from your file drops 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 file drops by teams landing POS and back-office exports as files.
The click, the conversion, and the credit.
The conversion happens off OpenAI, away from any pixel. Here is how File drops closes the loop.
Built for the teams that own the number.
Teams landing POS and back-office exports as files activating OpenAI's Offline Conversions API straight from file drops.
From kickoff to verified events.
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Connect
Read-only access to the SFTP, S3, or GCS drop you name to feed OpenAI's Offline Conversions API, sized for the emerging OpenAI ad surface.
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Map
Signals picks up your file drops, 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 file drops, reports downstream revenue as OpenAI's conversion measurement comes online, and processes only the newly dropped file, 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 File drops records the event. |
What Offline CAPI actually receives.
- ● signals :: event payload
- > POST /offline_conversions source=files.closed_deals
- event_name "Purchase" · event_time 1784517635
- em sha256 "2b9d64…" · value 33104 · currency SAR
- ✓ accepted · row_status delivered
Adjacent moves on the same stack.
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How often does the File drops OpenAI Offline CAPI sync run?
You set the cadence, from near-real-time to a nightly File drops sync of your file drops into OpenAI. Since Signals processes only the newly dropped file, a revenue feed ready the moment OpenAI's offline measurement expands keeps pace and teams landing POS and back-office exports as files watch the emerging OpenAI ad surface. One scoped connection sets it up, cadence adjustable later.
What match rate should a File drops-sourced OpenAI Offline CAPI batch expect?
In File drops, match rate tracks the email and phone quality your file drops carry. Clean identifiers land for OpenAI; blank ones never will. The first Offline Conversions API report shows teams landing POS and back-office exports as files where the emerging OpenAI ad surface needs work, a data-quality task handled in File drops.
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