CONNECTIONS / Backblaze B2 / Backblaze B2 to Google Customer Match
From Backblaze B2 files to Google Customer Match.
Connect Backblaze B2 and point Signals at your Backblaze B2 files; it projects your segments into Google Ads as Customer Match lists each time a new file lands, hashed and consent-checked for Google Ads.
- ● backblaze b2 → google.match :: live
- > read segments rows=35,197
- hash sha256(email,phone) consent=filtered
- route google deliver
- ✓ delivered · 30,269 matched
WHAT THIS ENABLES
Backblaze B2 to Google Customer Match
Backblaze B2 to Google Customer Match: your Backblaze B2 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.
- Customer segments from your Backblaze B2 files 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 Backblaze B2 files by teams archiving exports to Backblaze B2.
WHAT FLOWS WHERE
Backblaze B2 to Customer Match, mapped.
Signals reads the customer segments from your Backblaze B2 files 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 Backblaze B2 files 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.
Teams archiving exports to Backblaze B2 activating Google Customer Match straight from Backblaze B2 files.
From kickoff to verified events.
-
Connect
A read-only application key scoped to the Backblaze B2 bucket you name to feed Google Ads' Customer Match API, sized for the serving-size threshold.
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Map
Signals picks up your Backblaze B2 files, 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 Backblaze B2 files, 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 Backblaze B2 files and processes only the newly dropped file.
Lists that self-maintain across syncs from your Backblaze B2 files, 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 Backblaze B2 files.
What Customer Match actually receives.
- ● signals :: audience upload
- > POST /user_list_operations source=backblaze.segments
- operation ADD · user_list "segment_66847"
- hashed_email sha256 "b02cf1…" · hashed_phone sha256 "3ad990…"
- members_uploaded 35,197 · members_matched 30,269
- ✓ accepted match=86%
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How often does the Backblaze B2 Google Customer Match sync run?
The pace follows your Backblaze B2 files: Signals sends changes from Backblaze B2 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 archiving exports to Backblaze B2 keep the serving-size threshold in view. Delivery needs no export and no manual upload.
What match rate should a Backblaze B2-sourced Google Customer Match batch expect?
Coverage of hashed identifiers across your Backblaze B2 files decides it, and teams archiving exports to Backblaze B2 own that inside Backblaze B2. A live email or phone matches into Google Ads; neither, and it will not. First-run feedback flags the serving-size threshold, which teams archiving exports to Backblaze B2 then raise inside your Backblaze B2 files.
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