CONNECTIONS / Datahash API / Datahash API to Google Store Sales
Post offline and in-store sales to the Datahash API, wired to Google Store Sales matching.
Send offline and in-store sales to one documented REST endpoint from any backend, in any language; Signals matches in-person transactions to Google accounts as store-sales conversions, hashed and consent-checked, with no pixel and no warehouse read.
- ● datahash-api → google.sales :: live
- > POST /v1/events source=api.purchase_events count=57,761
- hash sha256(email,phone) consent=filtered
- route google deliver
- ✓ 202 accepted · 51,407 forwarded
WHAT THIS ENABLES
Datahash API to Google Store Sales
Datahash API to Google Store Sales: post your offline and in-store sales to one REST endpoint and Signals matches in-person transactions to Google accounts as store-sales conversions, hashed and consent-checked server-side before Google Ads sees it.
- Signals matches in-person transactions to Google accounts as store-sales conversions, from events your backend posts server-side.
- Counter and showroom revenue inside the same ROAS view as online orders, without a pixel, a connector, or a nightly export.
The click, the conversion, and the credit.
The conversion happens off Google, away from any pixel. Here is how Datahash API closes the loop.
Built for the teams that own the number.
Backend and platform teams driving Google Store Sales matching by sending offline and in-store sales 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' Store Sales Direct API.
-
Map
Map your event payload to Google Ads' Store Sales Direct API fields once; per-request validation flags bad events instead of dropping the batch.
-
Deliver
Post events as they happen and Signals matches in-person transactions to Google accounts as store-sales conversions, hashing server-side, with the store-sales match rate shown in the debugger.
What changes when the CSV goes away.
| Capability | Manual CSV upload | Datahash |
|---|---|---|
| Reporting | Offline sales sit in a separate export, reconciled by hand. | Revenue counted in the same Store Sales reporting as web conversions. |
| Deduplication | A re-uploaded file risks counting the same conversion twice. | Deduped delivery, so a resent record never counts as a second conversion. |
| Match visibility | Match quality is a guess until the numbers look off. | Match rate reported per upload, tied to the source event set that produced it. |
| Effort and latency | An analyst exports and uploads on a manual cadence. | Server-side and automatic the moment Datahash API records the event. |
What Store Sales actually receives.
- ● signals :: store sales upload
- > POST /offline_user_data_jobs source=api.purchase_events
- transaction_time 2026-07-18T02:16:03 · transaction_amount_micros 28908000000
- currency_code SAR
- hashed_email sha256 "6d2e91…" · hashed_last_name sha256 "cc410a…"
- ✓ accepted match=89%
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Which backends can send to Google Store Sales through the Datahash API?
Any backend that can make an HTTPS request. You POST offline and in-store sales as JSON to one documented endpoint and Signals forwards the offline conversions to Google Ads' Store Sales Direct API; identifiers are hashed at ingestion or sent pre-hashed, and omnichannel retailers reconciling point-of-sale against Google spend track the store-sales match rate in the debugger.
How fresh are Google Store Sales events sent over the API?
As fresh as you post them. The API accepts events in near real time, so counter and showroom revenue inside the same ROAS view as online orders 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 store-sales match rate current for the teams driving Google Store Sales matching.
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