CONNECTIONS / AWS S3 / AWS S3 to LinkedIn Offline CAPI
S3 exports into LinkedIn, built for LinkedIn account-revenue reporting.
Signals reads your S3 exports through a read-only IAM key scoped to the one S3 bucket you name, then reports closed B2B deals so LinkedIn optimizes on account revenue so LinkedIn sees offline conversions without an export.
- ● aws s3 → linkedin.capi :: live
- > read closed_deals rows=54,746
- hash sha256(email,phone) consent=filtered
- route linkedin deliver
- ✓ delivered · 47,082 matched
WHAT THIS ENABLES
AWS S3 to LinkedIn Offline CAPI
LinkedIn Offline CAPI for AWS S3: Signals reports closed B2B deals so LinkedIn optimizes on account revenue straight from your S3 exports, hashed and consent-screened each time a new file lands.
- Signals reports closed B2B deals so LinkedIn optimizes on account revenue, reading your S3 exports each time a new file lands.
- Account revenue attached to the sourcing campaign, with no export step out of your S3 exports.
The click, the conversion, and the credit.
The conversion happens off LinkedIn, away from any pixel. Here is how AWS S3 closes the loop.
Built for the teams that own the number.
Data teams landing exports in S3 who need pipeline revenue tied to the LinkedIn campaigns that sourced it out of S3 exports.
From kickoff to verified events.
-
Connect
A read-only IAM key scoped to the one S3 bucket you name, mapped to LinkedIn's Conversions API and tuned for long B2B attribution windows.
-
Map
Columns from your S3 exports align to LinkedIn's Conversions API in the visual mapper, hashed as the file lands and checked for long B2B attribution windows.
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Deliver
Each time a new file lands, Signals reads your S3 exports and reports closed B2B deals so LinkedIn optimizes on account revenue, processes only the newly dropped file, with long B2B attribution windows watched 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 AWS S3 records the event. |
What Offline CAPI actually receives.
- ● signals :: event payload
- > POST /conversionEvents source=aws-s3.closed_deals
- conversion "urn:lla:llaPartnerConversion:65524"
- conversionHappenedAt 1784335524000
- user.userIds [{ idType: "SHA256_EMAIL", idValue: "9c41af…" }]
- ✓ accepted · conversionValue 20740 USD
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How often does the AWS S3 LinkedIn Offline CAPI sync run?
You set the cadence, from near-real-time to a nightly AWS S3 sync of your S3 exports into LinkedIn. Since Signals processes only the newly dropped file, pipeline revenue tied to the LinkedIn campaigns that sourced it keeps pace and data teams landing exports in S3 watch long B2B attribution windows. One scoped connection sets it up, cadence adjustable later.
What match rate should a AWS S3-sourced LinkedIn Offline CAPI batch expect?
Match rate follows identifier coverage in your S3 exports, which data teams landing exports in S3 control, not AWS S3 itself. A record with a current hashed email or phone matches for LinkedIn; one missing both cannot. First-run feedback from Conversions API pinpoints long B2B attribution windows, the number data teams landing exports in S3 tune against.
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