CONNECTIONS / Google Sheets / Google Sheets to Google Customer Match
Your Google Sheets rows, wired to Google Customer Match.
Connect Google Sheets and point Signals at your Google Sheets rows; it projects your segments into Google Ads as Customer Match lists each time a new file lands, hashed and consent-checked for Google Ads.
- ● google sheets → google.match :: live
- > read segments rows=52,190
- hash sha256(email,phone) consent=filtered
- route google deliver
- ✓ delivered · 40,708 matched
WHAT THIS ENABLES
Google Sheets to Google Customer Match
Google Sheets to Google Customer Match: Signals reads your Google Sheets rows and projects your segments into Google Ads as Customer Match lists, hashed and consent-checked each time a new file lands.
- Customer segments from your Google Sheets rows 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 Google Sheets rows by ops teams maintaining Google Sheets.
WHAT FLOWS WHERE
Google Sheets to Customer Match, mapped.
Signals picks up the customer segments from your Google Sheets rows; 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 Google Sheets rows; 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.
Ops teams maintaining Google Sheets activating Google Customer Match straight from Google Sheets rows.
From kickoff to verified events.
-
Connect
Read-only OAuth access to the Google Sheet you name to feed Google Ads' Customer Match API, sized for the serving-size threshold.
-
Map
Signals picks up your Google Sheets rows, 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 Google Sheets rows, 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 Google Sheets rows and processes only the newly dropped file.
Lists that self-maintain across syncs from your Google Sheets rows, 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 Google Sheets rows.
What Customer Match actually receives.
- ● signals :: audience upload
- > POST /user_list_operations source=google-sheet.segments
- operation ADD · user_list "segment_60925"
- hashed_email sha256 "b02cf1…" · hashed_phone sha256 "3ad990…"
- members_uploaded 52,190 · members_matched 40,708
- ✓ accepted match=78%
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How often does the Google Sheets Google Customer Match sync run?
You set the cadence, from near-real-time to a nightly Google Sheets sync of your Google Sheets rows 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 ops teams maintaining Google Sheets watch the serving-size threshold. One scoped connection sets it up, cadence adjustable later.
What match rate should a Google Sheets-sourced Google Customer Match batch expect?
In Google Sheets, match rate tracks the email and phone quality your Google Sheets rows carry. Clean identifiers land for Google Ads; blank ones never will. The first Customer Match API report shows ops teams maintaining Google Sheets where the serving-size threshold needs work, a data-quality task handled in Google Sheets.
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