CONNECTIONS / GCS / GCS to LinkedIn Offline CAPI
Your GCS objects, wired to LinkedIn account-revenue reporting.
Connect GCS and point Signals at your GCS objects; it reports closed B2B deals so LinkedIn optimizes on account revenue each time a new file lands, hashed and consent-checked for LinkedIn.
- ● gcs → linkedin.capi :: live
- > read closed_deals rows=15,834
- hash sha256(email,phone) consent=filtered
- route linkedin deliver
- ✓ delivered · 13,776 matched
WHAT THIS ENABLES
GCS to LinkedIn Offline CAPI
GCS to LinkedIn Offline CAPI: your GCS objects, hashed and consent-checked, feed LinkedIn as Signals reports closed B2B deals so LinkedIn optimizes on account revenue each time a new file lands.
- Offline and in-store sales from your GCS objects activated for LinkedIn, as Signals reports closed B2B deals so LinkedIn optimizes on account revenue.
- Pipeline revenue tied to the LinkedIn campaigns that sourced it, drawn from your GCS objects by data teams landing exports in GCS.
The click, the conversion, and the credit.
The conversion happens off LinkedIn, away from any pixel. Here is how GCS closes the loop.
Built for the teams that own the number.
Data teams landing exports in GCS activating LinkedIn account-revenue reporting straight from GCS objects.
From kickoff to verified events.
-
Connect
A read-only service account scoped to the one GCS bucket you name to feed LinkedIn's Conversions API, sized for long B2B attribution windows.
-
Map
Signals picks up your GCS objects, and its columns map to LinkedIn's Conversions API in the visual mapper, hashed and checked for long B2B attribution windows.
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Deliver
On each run, Signals pulls your GCS objects, reports closed B2B deals so LinkedIn optimizes on account revenue, and processes only the newly dropped file, with long B2B attribution windows 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 Offline CAPI 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 GCS records the event. |
What Offline CAPI actually receives.
- ● signals :: event payload
- > POST /conversionEvents source=google-cloud-storage.closed_deals
- conversion "urn:lla:llaPartnerConversion:51809"
- conversionHappenedAt 1784117809000
- user.userIds [{ idType: "SHA256_EMAIL", idValue: "9c41af…" }]
- ✓ accepted · conversionValue 35714 USD
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How often does the GCS LinkedIn Offline CAPI sync run?
The pace follows your GCS objects: Signals sends changes from GCS to LinkedIn each time a new file lands. Because it processes only the newly dropped file, pipeline revenue tied to the LinkedIn campaigns that sourced it stays current while data teams landing exports in GCS keep long B2B attribution windows in view. Delivery needs no export and no manual upload.
What match rate should a GCS-sourced LinkedIn Offline CAPI batch expect?
Coverage of hashed identifiers across your GCS objects decides it, and data teams landing exports in GCS own that inside GCS. A live email or phone matches into LinkedIn; neither, and it will not. First-run feedback flags long B2B attribution windows, which data teams landing exports in GCS then raise inside your GCS objects.
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