CONNECTIONS / Tencent COS / Tencent COS to Google Customer Match
Tencent COS objects into Google Ads, built for Google Customer Match.
Connect Tencent COS and point Signals at your Tencent COS 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.
- ● tencent cos → google.match :: live
- > read segments rows=63,984
- hash sha256(email,phone) consent=filtered
- route google deliver
- ✓ delivered · 56,306 matched
WHAT THIS ENABLES
Tencent COS to Google Customer Match
Google Customer Match for Tencent COS: Signals projects your segments into Google Ads as Customer Match lists straight from your Tencent COS objects, hashed and consent-screened each time a new file lands.
- Customer segments from your Tencent COS 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 Tencent COS objects by teams running Tencent Cloud COS.
WHAT FLOWS WHERE
Tencent COS to Customer Match, mapped.
Signals picks up the customer segments from your Tencent COS objects; 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 Tencent COS objects; 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 running Tencent Cloud COS activating Google Customer Match straight from Tencent COS objects.
From kickoff to verified events.
-
Connect
A read-only key scoped to the Tencent COS bucket you name to feed Google Ads' Customer Match API, sized for the serving-size threshold.
-
Map
Signals picks up your Tencent COS objects, and its columns map to Google Ads' Customer Match API in the visual mapper, hashed and checked for the serving-size threshold.
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Deliver
On each run, Signals pulls your Tencent COS 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 Tencent COS objects and processes only the newly dropped file.
Lists that self-maintain across syncs from your Tencent COS 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 Tencent COS objects.
What Customer Match actually receives.
- ● signals :: audience upload
- > POST /user_list_operations source=tencent.segments
- operation ADD · user_list "segment_60635"
- hashed_email sha256 "b02cf1…" · hashed_phone sha256 "3ad990…"
- members_uploaded 63,984 · members_matched 56,306
- ✓ accepted match=88%
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How often does the Tencent COS Google Customer Match sync run?
The pace follows your Tencent COS objects: Signals sends changes from Tencent COS to Google Ads each time a new file lands. Because it processes only the newly dropped file, Customer Match lists that add joiners and drop lapsed members each sync stays current while teams running Tencent Cloud COS keep the serving-size threshold in view. Delivery needs no export and no manual upload.
What match rate should a Tencent COS-sourced Google Customer Match batch expect?
Coverage of hashed identifiers across your Tencent COS objects decides it, and teams running Tencent Cloud COS own that inside Tencent COS. A live email or phone matches into Google Ads; neither, and it will not. First-run feedback flags the serving-size threshold, which teams running Tencent Cloud COS then raise inside your Tencent COS objects.
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