CONNECTIONS / File drops / File drops to Google Customer Match
Your file drops, wired to Google Customer Match.
Connect File drops and point Signals at your file drops; it projects your segments into Google Ads as Customer Match lists each time a new file lands, hashed and consent-checked for Google Ads.
- ● file drops → google.match :: live
- > read segments rows=72,421
- hash sha256(email,phone) consent=filtered
- route google deliver
- ✓ delivered · 57,937 matched
WHAT THIS ENABLES
File drops to Google Customer Match
File drops to Google Customer Match: your file drops, 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 file drops 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 file drops by teams landing POS and back-office exports as files.
WHAT FLOWS WHERE
File drops to Customer Match, mapped.
Signals reads the customer segments from your file drops 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 file drops 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 landing POS and back-office exports as files activating Google Customer Match straight from file drops.
From kickoff to verified events.
-
Connect
Read-only access to the SFTP, S3, or GCS drop you name to feed Google Ads' Customer Match API, sized for the serving-size threshold.
-
Map
Signals picks up your file drops, 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 file drops, 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 file drops and processes only the newly dropped file.
Lists that self-maintain across syncs from your file drops, 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 file drops.
What Customer Match actually receives.
- ● signals :: audience upload
- > POST /user_list_operations source=files.segments
- operation ADD · user_list "segment_60041"
- hashed_email sha256 "b02cf1…" · hashed_phone sha256 "3ad990…"
- members_uploaded 72,421 · members_matched 57,937
- ✓ accepted match=80%
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How often does the File drops Google Customer Match sync run?
You set the cadence, from near-real-time to a nightly File drops sync of your file drops 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 landing POS and back-office exports as files watch the serving-size threshold. One scoped connection sets it up, cadence adjustable later.
What match rate should a File drops-sourced Google Customer Match batch expect?
In File drops, match rate tracks the email and phone quality your file drops carry. Clean identifiers land for Google Ads; blank ones never will. The first Customer Match API report shows teams landing POS and back-office exports as files where the serving-size threshold needs work, a data-quality task handled in File drops.
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