CONNECTIONS / Freshsales / Freshsales to Google Store Sales
Your Freshsales deals and lifecycle stages, wired to Google Store Sales matching.
Signals reads your Freshsales deals and lifecycle stages through scoped OAuth access to Freshsales, reading only your Freshsales deals and lifecycle stages, then matches in-person transactions to Google accounts as store-sales conversions so Google Ads sees offline conversions without an export.
- ● freshsales → google.sales :: live
- > read closed_deals rows=47,034
- hash sha256(email,phone) consent=filtered
- route google deliver
- ✓ delivered · 36,687 matched
WHAT THIS ENABLES
Freshsales to Google Store Sales
Google Store Sales for Freshsales: Signals matches in-person transactions to Google accounts as store-sales conversions straight from your Freshsales deals and lifecycle stages, hashed and consent-screened as records change.
- Signals matches in-person transactions to Google accounts as store-sales conversions, reading your Freshsales deals and lifecycle stages as records change.
- Store visits reconciled to campaign spend, with no export step out of your Freshsales deals and lifecycle stages.
The click, the conversion, and the credit.
The conversion happens off Google, away from any pixel. Here is how Freshsales closes the loop.
Built for the teams that own the number.
Sales teams running Freshsales who need counter and showroom revenue inside the same ROAS view as online orders out of Freshsales deals and lifecycle stages.
From kickoff to verified events.
-
Connect
Scoped OAuth access to Freshsales, reading only your Freshsales deals and lifecycle stages, mapped to Google Ads' Store Sales Direct API and tuned for the store-sales match rate.
-
Map
Columns from your Freshsales deals and lifecycle stages align to Google Ads' Store Sales Direct API in the visual mapper, hashed as the sync runs and checked for the store-sales match rate.
-
Deliver
As records change, Signals reads your Freshsales deals and lifecycle stages and matches in-person transactions to Google accounts as store-sales conversions, sends only the records that changed, with the store-sales match rate watched 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 Freshsales records the event. |
What Store Sales actually receives.
- ● signals :: store sales upload
- > POST /offline_user_data_jobs source=freshsales.closed_deals
- transaction_time 2026-07-22T04:08:28 · transaction_amount_micros 12851000000
- currency_code AED
- hashed_email sha256 "6d2e91…" · hashed_last_name sha256 "cc410a…"
- ✓ accepted match=78%
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How often does the Freshsales Google Store Sales sync run?
The pace follows your Freshsales deals and lifecycle stages: Signals sends changes from Freshsales to Google Ads as records change. Because it sends only the records that changed, counter and showroom revenue inside the same ROAS view as online orders stays current while sales teams running Freshsales keep the store-sales match rate in view. Delivery needs no export and no manual upload.
What match rate should a Freshsales-sourced Google Store Sales batch expect?
In Freshsales, match rate tracks the email and phone quality your Freshsales deals and lifecycle stages carry. Clean identifiers land for Google Ads; blank ones never will. The first Store Sales Direct API report shows sales teams running Freshsales where the store-sales match rate needs work, a data-quality task handled in Freshsales.
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