CONNECTIONS / Apache Cassandra / Apache Cassandra to Google OCI
From Cassandra tables to Google Ads offline conversion import.
Connect Apache Cassandra and point Signals at your Cassandra tables; it reconciles closed-won revenue to the Google Ads click through GCLID each time the read runs, hashed and consent-checked for Google Ads.
- ● apache cassandra → google.oci :: live
- > read closed_deals rows=55,673
- hash sha256(email,phone) consent=filtered
- route google deliver
- ✓ delivered · 44,538 matched
WHAT THIS ENABLES
Apache Cassandra to Google Offline Conversions
Apache Cassandra to Google Offline Conversions: Signals reads your Cassandra tables and reconciles closed-won revenue to the Google Ads click through GCLID, hashed and consent-checked each time the read runs.
- Offline and in-store sales from your Cassandra tables activated for Google Ads, as Signals reconciles closed-won revenue to the Google Ads click through GCLID.
- Smart Bidding trained on booked revenue instead of a mid-funnel proxy, drawn from your Cassandra tables by platform teams running Cassandra.
The click, the conversion, and the credit.
The conversion happens off Google, away from any pixel. Here is how Apache Cassandra closes the loop.
Built for the teams that own the number.
Platform teams running Cassandra activating Google Ads offline conversion import straight from Cassandra tables.
From kickoff to verified events.
-
Connect
A read-only database user scoped to the Cassandra tables you name to feed Google Ads' Offline Conversion Import (Google Ads API), sized for GCLID coverage.
-
Map
A scheduled read pulls your Cassandra tables, and its columns map to Google Ads' Offline Conversion Import (Google Ads API) in the visual mapper, hashed and checked for GCLID coverage.
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Deliver
On each run, Signals pulls your Cassandra tables, reconciles closed-won revenue to the Google Ads click through GCLID, and reads only the records changed since the last run, with GCLID coverage 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 Apache Cassandra records the event. |
What OCI actually receives.
- ● signals :: event payload
- > POST /offline_conversion_import source=apache-cassandra.closed_deals
- gclid "Cj0KCQjw…" · conversion_action "closed_won"
- conversion_date_time "2026-07-18T11:55:30"
- conversion_value 38266 · currency_code GBP
- ✓ accepted · batch=daily
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Learn moreAsked on almost every call.
How often does the Apache Cassandra Google OCI sync run?
You set the cadence, from near-real-time to a nightly Apache Cassandra sync of your Cassandra 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 platform teams running Cassandra watch GCLID coverage. One scoped connection sets it up, cadence adjustable later.
What match rate should a Apache Cassandra-sourced Google OCI batch expect?
In Apache Cassandra, match rate tracks the email and phone quality your Cassandra tables carry. Clean identifiers land for Google Ads; blank ones never will. The first Offline Conversion Import (Google Ads API) report shows platform teams running Cassandra where GCLID coverage needs work, a data-quality task handled in Apache Cassandra.
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