CONNECTIONS / File drops / File drops to LinkedIn Offline CAPI
Your file drops, wired to LinkedIn account-revenue reporting.
Connect File drops and point Signals at your file drops; it reports closed B2B deals so LinkedIn optimizes on account revenue each time a new file lands, hashed and consent-checked for LinkedIn.
- ● file drops → linkedin.capi :: live
- > read closed_deals rows=21,126
- hash sha256(email,phone) consent=filtered
- route linkedin deliver
- ✓ delivered · 17,112 matched
WHAT THIS ENABLES
File drops to LinkedIn Offline CAPI
File drops to LinkedIn Offline CAPI: your file drops, 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 file drops 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 file drops by teams landing POS and back-office exports as files.
The click, the conversion, and the credit.
The conversion happens off LinkedIn, away from any pixel. Here is how File drops closes the loop.
Built for the teams that own the number.
Teams landing POS and back-office exports as files activating LinkedIn account-revenue reporting straight from file drops.
From kickoff to verified events.
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Connect
Read-only access to the SFTP, S3, or GCS drop you name to feed LinkedIn's Conversions API, sized for long B2B attribution windows.
-
Map
Signals picks up your file drops, 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 file drops, 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 File drops records the event. |
What Offline CAPI actually receives.
- ● signals :: event payload
- > POST /conversionEvents source=files.closed_deals
- conversion "urn:lla:llaPartnerConversion:73511"
- conversionHappenedAt 1784271511000
- user.userIds [{ idType: "SHA256_EMAIL", idValue: "9c41af…" }]
- ✓ accepted · conversionValue 41726 USD
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How often does the File drops LinkedIn Offline CAPI sync run?
You set the cadence, from near-real-time to a nightly File drops sync of your file drops into LinkedIn. Since Signals processes only the newly dropped file, pipeline revenue tied to the LinkedIn campaigns that sourced it keeps pace and teams landing POS and back-office exports as files watch long B2B attribution windows. One scoped connection sets it up, cadence adjustable later.
What match rate should a File drops-sourced LinkedIn Offline CAPI batch expect?
In File drops, match rate tracks the email and phone quality your file drops carry. Clean identifiers land for LinkedIn; blank ones never will. The first Conversions API report shows teams landing POS and back-office exports as files where long B2B attribution windows needs work, a data-quality task handled in File drops.
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