CONNECTIONS / Oracle / Oracle to Meta Offline CAPI
From Oracle tables to Meta's offline optimization.
Signals reads your Oracle tables through a read-only database user scoped to the Oracle tables you name, then credits dealer, branch, and phone sales to the Meta campaigns behind them so Meta sees offline conversions without an export.
- ● oracle → meta.capi :: live
- > read closed_deals rows=63,197
- hash sha256(email,phone) consent=filtered
- route meta deliver
- ✓ delivered · 52,454 matched
WHAT THIS ENABLES
Oracle to Meta Offline CAPI
Meta Offline CAPI for Oracle: Signals credits dealer, branch, and phone sales to the Meta campaigns behind them straight from your Oracle tables, hashed and consent-screened each time the read runs.
- Signals credits dealer, branch, and phone sales to the Meta campaigns behind them, reading your Oracle tables each time the read runs.
- Campaign learning fed by real-world purchases, with no export step out of your Oracle tables.
The click, the conversion, and the credit.
The conversion happens off Meta, away from any pixel. Here is how Oracle closes the loop.
Built for the teams that own the number.
Enterprise data teams on Oracle who need in-store and phone revenue joining Meta's optimization loop out of Oracle tables.
From kickoff to verified events.
-
Connect
A read-only database user scoped to the Oracle tables you name, mapped to Meta's Offline Conversions API and tuned for Meta's 62-day event window.
-
Map
Columns from your Oracle tables align to Meta's Offline Conversions API in the visual mapper, hashed as the read runs and checked for Meta's 62-day event window.
-
Deliver
Each time the read runs, Signals reads your Oracle tables and credits dealer, branch, and phone sales to the Meta campaigns behind them, reads only the records changed since the last run, with Meta's 62-day event window 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 Oracle records the event. |
What Offline CAPI actually receives.
- ● signals :: event payload
- > POST /offline_conversions source=oracle.closed_deals
- event_name "Purchase" · event_time 2026-07-16T23:17:33
- value 37469.00 · currency USD
- em sha256 "1fa603…" · ph sha256 "eb2201…" · external_id "txn-70853"
- ✓ accepted match=83%
Adjacent moves on the same stack.
from Oracle
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How often does the Oracle Meta Offline CAPI sync run?
You set the cadence, from near-real-time to a nightly Oracle sync of your Oracle tables into Meta. Since Signals reads only the records changed since the last run, in-store and phone revenue joining Meta's optimization loop keeps pace and enterprise data teams on Oracle watch Meta's 62-day event window. One scoped connection sets it up, cadence adjustable later.
What match rate should a Oracle-sourced Meta Offline CAPI batch expect?
Match rate follows identifier coverage in your Oracle tables, which enterprise data teams on Oracle control, not Oracle itself. A record with a current hashed email or phone matches for Meta; one missing both cannot. First-run feedback from Offline Conversions API pinpoints Meta's 62-day event window, the number enterprise data teams on Oracle tune against.
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