CONNECTIONS / Zithara / Zithara to LinkedIn Offline CAPI
From Zithara customer records to LinkedIn account-revenue reporting.
Connect Zithara and point Signals at your Zithara customer records; it reports closed B2B deals so LinkedIn optimizes on account revenue as records change, hashed and consent-checked for LinkedIn.
- ● zithara → linkedin.capi :: live
- > read closed_deals rows=24,215
- hash sha256(email,phone) consent=filtered
- route linkedin deliver
- ✓ delivered · 20,098 matched
WHAT THIS ENABLES
Zithara to LinkedIn Offline CAPI
Zithara to LinkedIn Offline CAPI: your Zithara customer records, hashed and consent-checked, feed LinkedIn as Signals reports closed B2B deals so LinkedIn optimizes on account revenue as records change.
- Offline and in-store sales from your Zithara customer records 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 Zithara customer records by retail CRM teams running Zithara.
The click, the conversion, and the credit.
The conversion happens off LinkedIn, away from any pixel. Here is how Zithara closes the loop.
Built for the teams that own the number.
Retail CRM teams running Zithara activating LinkedIn account-revenue reporting straight from Zithara customer records.
From kickoff to verified events.
-
Connect
Scoped OAuth access to Zithara, reading only your Zithara customer records to feed LinkedIn's Conversions API, sized for long B2B attribution windows.
-
Map
Signals reads your Zithara customer records, and its columns map to LinkedIn's Conversions API in the visual mapper, hashed and checked for long B2B attribution windows.
-
Deliver
On each run, Signals pulls your Zithara customer records, reports closed B2B deals so LinkedIn optimizes on account revenue, and sends only the records that changed, 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 Zithara records the event. |
What Offline CAPI actually receives.
- ● signals :: event payload
- > POST /conversionEvents source=zithara.closed_deals
- conversion "urn:lla:llaPartnerConversion:61937"
- conversionHappenedAt 1784360937000
- user.userIds [{ idType: "SHA256_EMAIL", idValue: "9c41af…" }]
- ✓ accepted · conversionValue 38117 USD
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How often does the Zithara LinkedIn Offline CAPI sync run?
You set the cadence, from near-real-time to a nightly Zithara sync of your Zithara customer records into LinkedIn. Since Signals sends only the records that changed, pipeline revenue tied to the LinkedIn campaigns that sourced it keeps pace and retail CRM teams running Zithara watch long B2B attribution windows. One scoped connection sets it up, cadence adjustable later.
What match rate should a Zithara-sourced LinkedIn Offline CAPI batch expect?
In Zithara, match rate tracks the email and phone quality your Zithara customer records carry. Clean identifiers land for LinkedIn; blank ones never will. The first Conversions API report shows retail CRM teams running Zithara where long B2B attribution windows needs work, a data-quality task handled in Zithara.
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