CONNECTIONS / GCS / GCS to OpenAI Offline CAPI
Your GCS objects, wired to OpenAI's Offline Conversions API.
Connect GCS and point Signals at your GCS objects; it reports downstream revenue as OpenAI's conversion measurement comes online each time a new file lands, hashed and consent-checked for OpenAI.
- ● gcs → openai.capi :: live
- > read closed_deals rows=57,191
- hash sha256(email,phone) consent=filtered
- route openai deliver
- ✓ delivered · 47,469 matched
WHAT THIS ENABLES
GCS to OpenAI Offline CAPI
GCS to OpenAI Offline CAPI: your GCS objects, 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 GCS objects 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 GCS objects by data teams landing exports in GCS.
The click, the conversion, and the credit.
The conversion happens off OpenAI, away from any pixel. Here is how GCS closes the loop.
Built for the teams that own the number.
Data teams landing exports in GCS activating OpenAI's Offline Conversions API straight from GCS objects.
From kickoff to verified events.
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Connect
A read-only service account scoped to the one GCS bucket 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 GCS objects, 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 GCS objects, 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 GCS records the event. |
What Offline CAPI actually receives.
- ● signals :: event payload
- > POST /offline_conversions source=google-cloud-storage.closed_deals
- event_name "Purchase" · event_time 1784211585
- em sha256 "2b9d64…" · value 30536 · currency USD
- ✓ accepted · row_status delivered
Adjacent moves on the same stack.
from GCS
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ActiveCampaign to OpenAI Offline CAPI
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OpenAI Offline Conversions API
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How often does the GCS OpenAI Offline CAPI sync run?
The pace follows your GCS objects: Signals sends changes from GCS to OpenAI each time a new file lands. Because it processes only the newly dropped file, a revenue feed ready the moment OpenAI's offline measurement expands stays current while data teams landing exports in GCS keep the emerging OpenAI ad surface in view. Delivery needs no export and no manual upload.
What match rate should a GCS-sourced OpenAI Offline CAPI batch expect?
Coverage of hashed identifiers across your GCS objects decides it, and data teams landing exports in GCS own that inside GCS. A live email or phone matches into OpenAI; neither, and it will not. First-run feedback flags the emerging OpenAI ad surface, which data teams landing exports in GCS then raise inside your GCS objects.
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