CONNECTIONS / Datahash API / Datahash API to Google Customer Match
Post customer segments to the Datahash API, wired to Google Customer Match.
Send customer segments to one documented REST endpoint from any backend, in any language; Signals projects your segments into Google Ads as Customer Match lists, hashed and consent-checked, with no pixel and no warehouse read.
- ● datahash-api → google.match :: live
- > POST /v1/events source=api.audience_members count=43,009
- hash sha256(email,phone) consent=filtered
- route google deliver
- ✓ 202 accepted · 34,407 forwarded
WHAT THIS ENABLES
Datahash API to Google Customer Match
Datahash API to Google Customer Match: post your customer segments to one REST endpoint and Signals projects your segments into Google Ads as Customer Match lists, hashed and consent-checked server-side before Google Ads sees it.
- Signals projects your segments into Google Ads as Customer Match lists, from events your backend posts server-side.
- Customer Match lists that add joiners and drop lapsed members each sync, without a pixel, a connector, or a nightly export.
WHAT FLOWS WHERE
Datahash API to Customer Match, mapped.
Your backend posts each event to the Datahash API, which hashes and consent-screens it server-side, then Google Ads' Customer Match API records the match-ready audiences for the serving-size threshold.
Your backend posts each event to the Datahash API, which hashes and consent-screens it server-side, then Google Ads' Customer Match API records the match-ready audiences for the serving-size threshold.
Built for the teams that own the number.
Backend and platform teams driving Google Customer Match by sending customer segments straight from their own stack.
From kickoff to verified events.
-
Connect
Create an API key in the Signals console and point your backend at the endpoint that feeds Google Ads' Customer Match API.
-
Map
Map your event payload to Google Ads' Customer Match API fields once; per-request validation flags bad events instead of dropping the batch.
-
Deliver
Post events as they happen and Signals projects your segments into Google Ads as Customer Match lists, hashing server-side, with the serving-size threshold shown in the debugger.
What ships with this use case.
Customer Match lists that add joiners and drop lapsed members each sync from a single server-side call.
Lists that self-maintain across syncs, with identifiers hashed at ingestion or sent pre-hashed.
Per-event status and match feedback on the serving-size threshold from Google Ads' Customer Match API, returned inline in the live debugger.
What Customer Match actually receives.
- ● signals :: audience upload
- > POST /user_list_operations source=api.audience_members
- operation ADD · user_list "segment_42733"
- hashed_email sha256 "b02cf1…" · hashed_phone sha256 "3ad990…"
- members_uploaded 43,009 · members_matched 34,407
- ✓ accepted match=80%
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Which backends can send to Google Customer Match through the Datahash API?
Any backend that can make an HTTPS request. You POST customer segments as JSON to one documented endpoint and Signals forwards the match-ready audiences to Google Ads' Customer Match API; identifiers are hashed at ingestion or sent pre-hashed, and growth teams feeding Google audiences from governed first-party data track the serving-size threshold in the debugger.
How fresh are Google Customer Match events sent over the API?
As fresh as you post them. The API accepts events in near real time, so Customer Match lists that add joiners and drop lapsed members each sync reaches Google Ads moments after your backend fires the call, with per-event status returned inline. There is no batch window and no scheduled read, which keeps the serving-size threshold current for the teams driving Google Customer Match.
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