CONNECTIONS / Datahash API / Datahash API to LinkedIn Offline CAPI
Post offline and in-store sales to the Datahash API, wired to LinkedIn account-revenue reporting.
Send offline and in-store sales to one documented REST endpoint from any backend, in any language; Signals reports closed B2B deals so LinkedIn optimizes on account revenue, hashed and consent-checked, with no pixel and no warehouse read.
- ● datahash-api → linkedin.capi :: live
- > POST /v1/events source=api.purchase_events count=51,205
- hash sha256(email,phone) consent=filtered
- route linkedin deliver
- ✓ 202 accepted · 43,524 forwarded
WHAT THIS ENABLES
Datahash API to LinkedIn Offline CAPI
Datahash API to LinkedIn Offline CAPI: post your offline and in-store sales to one REST endpoint and Signals reports closed B2B deals so LinkedIn optimizes on account revenue, hashed and consent-checked server-side before LinkedIn sees it.
- Signals reports closed B2B deals so LinkedIn optimizes on account revenue, from events your backend posts server-side.
- Pipeline revenue tied to the LinkedIn campaigns that sourced it, without a pixel, a connector, or a nightly export.
The click, the conversion, and the credit.
The conversion happens off LinkedIn, 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 LinkedIn account-revenue reporting 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 LinkedIn's Conversions API.
-
Map
Map your event payload to LinkedIn's Conversions API fields once; per-request validation flags bad events instead of dropping the batch.
-
Deliver
Post events as they happen and Signals reports closed B2B deals so LinkedIn optimizes on account revenue, hashing server-side, with long B2B attribution windows 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 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 Datahash API records the event. |
What Offline CAPI actually receives.
- ● signals :: event payload
- > POST /conversionEvents source=api.purchase_events
- conversion "urn:lla:llaPartnerConversion:84979"
- conversionHappenedAt 1784596979000
- user.userIds [{ idType: "SHA256_EMAIL", idValue: "9c41af…" }]
- ✓ accepted · conversionValue 29710 USD
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Which backends can send to LinkedIn Offline CAPI 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 LinkedIn's Conversions API; identifiers are hashed at ingestion or sent pre-hashed, and B2B teams whose deals close long after the impression track long B2B attribution windows in the debugger.
How fresh are LinkedIn Offline CAPI events sent over the API?
As fresh as you post them. The API accepts events in near real time, so pipeline revenue tied to the LinkedIn campaigns that sourced it reaches LinkedIn moments after your backend fires the call, with per-event status returned inline. There is no batch window and no scheduled read, which keeps long B2B attribution windows current for the teams driving LinkedIn account-revenue reporting.
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