CONNECTIONS / Oracle / Oracle to Google OCI
From Oracle tables to Google Ads offline conversion import.
Signals reads your Oracle tables through a read-only database user scoped to the Oracle tables you name, then reconciles closed-won revenue to the Google Ads click through GCLID so Google Ads sees offline conversions without an export.
- ● oracle → google.oci :: live
- > read closed_deals rows=29,678
- hash sha256(email,phone) consent=filtered
- route google deliver
- ✓ delivered · 26,413 matched
WHAT THIS ENABLES
Oracle to Google Offline Conversions
Google Offline Conversions for Oracle: Signals reconciles closed-won revenue to the Google Ads click through GCLID straight from your Oracle tables, hashed and consent-screened each time the read runs.
- Signals reconciles closed-won revenue to the Google Ads click through GCLID, reading your Oracle tables each time the read runs.
- A clean line from click to closed revenue, with no export step out of your Oracle tables.
The click, the conversion, and the credit.
The conversion happens off Google, 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 Smart Bidding trained on booked revenue instead of a mid-funnel proxy out of Oracle tables.
From kickoff to verified events.
-
Connect
A read-only database user scoped to the Oracle tables you name, mapped to Google Ads' Offline Conversion Import (Google Ads API) and tuned for GCLID coverage.
-
Map
Columns from your Oracle tables align to Google Ads' Offline Conversion Import (Google Ads API) in the visual mapper, hashed as the read runs and checked for GCLID coverage.
-
Deliver
Each time the read runs, Signals reads your Oracle tables and reconciles closed-won revenue to the Google Ads click through GCLID, reads only the records changed since the last run, with GCLID coverage 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 OCI 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 OCI actually receives.
- ● signals :: event payload
- > POST /offline_conversion_import source=oracle.closed_deals
- gclid "Cj0KCQjw…" · conversion_action "closed_won"
- conversion_date_time "2026-07-18T04:19:39"
- conversion_value 37435 · currency_code SAR
- ✓ accepted · batch=daily
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How often does the Oracle Google OCI sync run?
You set the cadence, from near-real-time to a nightly Oracle sync of your Oracle tables into Google Ads. Since Signals reads only the records changed since the last run, Smart Bidding trained on booked revenue instead of a mid-funnel proxy keeps pace and enterprise data teams on Oracle watch GCLID coverage. One scoped connection sets it up, cadence adjustable later.
What match rate should a Oracle-sourced Google OCI 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 Google Ads; one missing both cannot. First-run feedback from Offline Conversion Import (Google Ads API) pinpoints GCLID coverage, the number enterprise data teams on Oracle tune against.
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