CONNECTIONS / Cloudian / Cloudian to Google Customer Match
Cloudian objects into Google Ads, built for Google Customer Match.
Connect Cloudian and point Signals at your Cloudian objects; it projects your segments into Google Ads as Customer Match lists each time a new file lands, hashed and consent-checked for Google Ads.
- ● cloudian → google.match :: live
- > read segments rows=20,456
- hash sha256(email,phone) consent=filtered
- route google deliver
- ✓ delivered · 18,410 matched
WHAT THIS ENABLES
Cloudian to Google Customer Match
Cloudian to Google Customer Match: your Cloudian objects, hashed and consent-checked, feed Google Ads as Signals projects your segments into Google Ads as Customer Match lists each time a new file lands.
- Customer segments from your Cloudian objects activated for Google Ads, as Signals projects your segments into Google Ads as Customer Match lists.
- Customer Match lists that add joiners and drop lapsed members each sync, drawn from your Cloudian objects by enterprises running Cloudian object storage.
WHAT FLOWS WHERE
Cloudian to Customer Match, mapped.
Signals reads the customer segments from your Cloudian objects each time a new file lands, hashes and screens each record, and posts the match-ready audiences to Google Ads' Customer Match API, keeping the serving-size threshold in view.
Signals reads the customer segments from your Cloudian objects each time a new file lands, hashes and screens each record, and posts the match-ready audiences to Google Ads' Customer Match API, keeping the serving-size threshold in view.
Built for the teams that own the number.
Enterprises running Cloudian object storage activating Google Customer Match straight from Cloudian objects.
From kickoff to verified events.
-
Connect
A read-only S3 key scoped to the Cloudian bucket you name to feed Google Ads' Customer Match API, sized for the serving-size threshold.
-
Map
Signals picks up your Cloudian objects, and its columns map to Google Ads' Customer Match API in the visual mapper, hashed and checked for the serving-size threshold.
-
Deliver
On each run, Signals pulls your Cloudian objects, projects your segments into Google Ads as Customer Match lists, and processes only the newly dropped file, with the serving-size threshold in the debugger.
What ships with this use case.
Customer Match lists that add joiners and drop lapsed members each sync on every run, as Signals reads your Cloudian objects and processes only the newly dropped file.
Lists that self-maintain across syncs from your Cloudian objects, with transfer overhead steady because Signals processes only the newly dropped file.
A per-run match report from Google Ads' Customer Match API on the serving-size threshold, straight out of your Cloudian objects.
What Customer Match actually receives.
- ● signals :: audience upload
- > POST /user_list_operations source=cloudian.segments
- operation ADD · user_list "segment_44359"
- hashed_email sha256 "b02cf1…" · hashed_phone sha256 "3ad990…"
- members_uploaded 20,456 · members_matched 18,410
- ✓ accepted match=90%
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How often does the Cloudian Google Customer Match sync run?
You set the cadence, from near-real-time to a nightly Cloudian sync of your Cloudian objects into Google Ads. Since Signals processes only the newly dropped file, Customer Match lists that add joiners and drop lapsed members each sync keeps pace and enterprises running Cloudian object storage watch the serving-size threshold. One scoped connection sets it up, cadence adjustable later.
What match rate should a Cloudian-sourced Google Customer Match batch expect?
In Cloudian, match rate tracks the email and phone quality your Cloudian objects carry. Clean identifiers land for Google Ads; blank ones never will. The first Customer Match API report shows enterprises running Cloudian object storage where the serving-size threshold needs work, a data-quality task handled in Cloudian.
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