CONNECTIONS / OVHcloud / OVHcloud to Google Customer Match
From OVHcloud Object Storage files to Google Customer Match.
Signals reads your OVHcloud Object Storage files through a read-only S3 key scoped to the OVHcloud container you name, then projects your segments into Google Ads as Customer Match lists so Google Ads sees match-ready audiences without an export.
- ● ovhcloud → google.match :: live
- > read segments rows=9,381
- hash sha256(email,phone) consent=filtered
- route google deliver
- ✓ delivered · 6,848 matched
WHAT THIS ENABLES
OVHcloud to Google Customer Match
OVHcloud to Google Customer Match: your OVHcloud Object Storage files, 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.
- Signals projects your segments into Google Ads as Customer Match lists, reading your OVHcloud Object Storage files each time a new file lands.
- Lists that self-maintain across syncs, with no export step out of your OVHcloud Object Storage files.
WHAT FLOWS WHERE
OVHcloud to Customer Match, mapped.
Signals picks up the customer segments from your OVHcloud Object Storage files; Signals hashes and consent-screens each record before Google Ads' Customer Match API accepts the match-ready audiences for the serving-size threshold.
Signals picks up the customer segments from your OVHcloud Object Storage files; Signals hashes and consent-screens each record before Google Ads' Customer Match API accepts the match-ready audiences for the serving-size threshold.
Built for the teams that own the number.
Teams on OVHcloud Object Storage who need Customer Match lists that add joiners and drop lapsed members each sync out of OVHcloud Object Storage files.
From kickoff to verified events.
-
Connect
A read-only S3 key scoped to the OVHcloud container you name, mapped to Google Ads' Customer Match API and tuned for the serving-size threshold.
-
Map
Columns from your OVHcloud Object Storage files align to Google Ads' Customer Match API in the visual mapper, hashed as the file lands and checked for the serving-size threshold.
-
Deliver
Each time a new file lands, Signals reads your OVHcloud Object Storage files and projects your segments into Google Ads as Customer Match lists, processes only the newly dropped file, with the serving-size threshold watched in the debugger.
What ships with this use case.
Customer Match lists that add joiners and drop lapsed members each sync from your OVHcloud Object Storage files, delivered each time a new file lands.
Lists that self-maintain across syncs out of your OVHcloud Object Storage files, delivered each time a new file lands without transfer overhead climbing.
Match feedback on the serving-size threshold from Google Ads' Customer Match API each run, tied back to your OVHcloud Object Storage files.
What Customer Match actually receives.
- ● signals :: audience upload
- > POST /user_list_operations source=ovhcloud.segments
- operation ADD · user_list "segment_70444"
- hashed_email sha256 "b02cf1…" · hashed_phone sha256 "3ad990…"
- members_uploaded 9,381 · members_matched 6,848
- ✓ accepted match=73%
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How often does the OVHcloud Google Customer Match sync run?
You set the cadence, from near-real-time to a nightly OVHcloud sync of your OVHcloud Object Storage files 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 teams on OVHcloud Object Storage watch the serving-size threshold. One scoped connection sets it up, cadence adjustable later.
What match rate should a OVHcloud-sourced Google Customer Match batch expect?
Match rate follows identifier coverage in your OVHcloud Object Storage files, which teams on OVHcloud Object Storage control, not OVHcloud itself. A record with a current hashed email or phone matches for Google Ads; one missing both cannot. First-run feedback from Customer Match API pinpoints the serving-size threshold, the number teams on OVHcloud Object Storage tune against.
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