CONNECTIONS / BigCommerce / BigCommerce to Google Customer Match
Your BigCommerce orders, wired to Google Customer Match.
Connect BigCommerce and point Signals at your BigCommerce orders; it projects your segments into Google Ads as Customer Match lists as orders complete, hashed and consent-checked for Google Ads.
- ● bigcommerce → google.match :: live
- > read segments rows=59,063
- hash sha256(email,phone) consent=filtered
- route google deliver
- ✓ delivered · 53,157 matched
WHAT THIS ENABLES
BigCommerce to Google Customer Match
Google Customer Match for BigCommerce: Signals projects your segments into Google Ads as Customer Match lists straight from your BigCommerce orders, hashed and consent-screened as orders complete.
- Customer segments from your BigCommerce orders 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 BigCommerce orders by merchants running BigCommerce.
WHAT FLOWS WHERE
BigCommerce to Customer Match, mapped.
Signals reads the customer segments from your BigCommerce orders; Signals hashes and consent-screens each record before Google Ads' Customer Match API accepts the match-ready audiences for the serving-size threshold.
Signals reads the customer segments from your BigCommerce orders; Signals hashes and consent-screens each record before Google Ads' Customer Match API accepts the match-ready audiences for the serving-size threshold.
Built for the teams that own the number.
Merchants running BigCommerce activating Google Customer Match straight from BigCommerce orders.
From kickoff to verified events.
-
Connect
Scoped API access to BigCommerce, reading only your BigCommerce orders to feed Google Ads' Customer Match API, sized for the serving-size threshold.
-
Map
Signals reads your BigCommerce orders, 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 BigCommerce orders, projects your segments into Google Ads as Customer Match lists, and sends only the orders that changed, 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 BigCommerce orders and sends only the orders that changed.
Lists that self-maintain across syncs from your BigCommerce orders, with API call volume steady because Signals sends only the orders that changed.
A per-run match report from Google Ads' Customer Match API on the serving-size threshold, straight out of your BigCommerce orders.
What Customer Match actually receives.
- ● signals :: audience upload
- > POST /user_list_operations source=bigcommerce.segments
- operation ADD · user_list "segment_47623"
- hashed_email sha256 "b02cf1…" · hashed_phone sha256 "3ad990…"
- members_uploaded 59,063 · members_matched 53,157
- ✓ accepted match=90%
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How often does the BigCommerce Google Customer Match sync run?
The pace follows your BigCommerce orders: Signals sends changes from BigCommerce to Google Ads as orders complete. Because it sends only the orders that changed, Customer Match lists that add joiners and drop lapsed members each sync stays current while merchants running BigCommerce keep the serving-size threshold in view. Delivery needs no export and no manual upload.
What match rate should a BigCommerce-sourced Google Customer Match batch expect?
Coverage of hashed identifiers across your BigCommerce orders decides it, and merchants running BigCommerce own that inside BigCommerce. A live email or phone matches into Google Ads; neither, and it will not. First-run feedback flags the serving-size threshold, which merchants running BigCommerce then raise inside your BigCommerce orders.
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