CONNECTIONS / Couchbase / Couchbase to Google Customer Match
Your Couchbase buckets, wired to Google Customer Match.
Connect Couchbase and point Signals at your Couchbase buckets; it projects your segments into Google Ads as Customer Match lists each time the read runs, hashed and consent-checked for Google Ads.
- ● couchbase → google.match :: live
- > read segments rows=62,920
- hash sha256(email,phone) consent=filtered
- route google deliver
- ✓ delivered · 54,111 matched
WHAT THIS ENABLES
Couchbase to Google Customer Match
Google Customer Match for Couchbase: Signals projects your segments into Google Ads as Customer Match lists straight from your Couchbase buckets, hashed and consent-screened each time the read runs.
- Customer segments from your Couchbase buckets 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 Couchbase buckets by engineering teams on Couchbase.
WHAT FLOWS WHERE
Couchbase to Customer Match, mapped.
Signals reads the customer segments from your Couchbase buckets each time the read runs, 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 Couchbase buckets each time the read runs, 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.
Engineering teams on Couchbase activating Google Customer Match straight from Couchbase buckets.
From kickoff to verified events.
-
Connect
A read-only database user scoped to the Couchbase buckets you name to feed Google Ads' Customer Match API, sized for the serving-size threshold.
-
Map
A scheduled read pulls your Couchbase buckets, 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 Couchbase buckets, projects your segments into Google Ads as Customer Match lists, and reads only the records changed since the last run, 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 Couchbase buckets and reads only the records changed since the last run.
Lists that self-maintain across syncs from your Couchbase buckets, with read load on the database steady because Signals reads only the records changed since the last run.
A per-run match report from Google Ads' Customer Match API on the serving-size threshold, straight out of your Couchbase buckets.
What Customer Match actually receives.
- ● signals :: audience upload
- > POST /user_list_operations source=couchbase.segments
- operation ADD · user_list "segment_86881"
- hashed_email sha256 "b02cf1…" · hashed_phone sha256 "3ad990…"
- members_uploaded 62,920 · members_matched 54,111
- ✓ accepted match=86%
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How often does the Couchbase Google Customer Match sync run?
You set the cadence, from near-real-time to a nightly Couchbase sync of your Couchbase buckets into Google Ads. Since Signals reads only the records changed since the last run, Customer Match lists that add joiners and drop lapsed members each sync keeps pace and engineering teams on Couchbase watch the serving-size threshold. One scoped connection sets it up, cadence adjustable later.
What match rate should a Couchbase-sourced Google Customer Match batch expect?
In Couchbase, match rate tracks the email and phone quality your Couchbase buckets carry. Clean identifiers land for Google Ads; blank ones never will. The first Customer Match API report shows engineering teams on Couchbase where the serving-size threshold needs work, a data-quality task handled in Couchbase.
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