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    CONNECTIONS / Apache Cassandra / Apache Cassandra to LinkedIn Offline CAPI

    From Cassandra tables to LinkedIn account-revenue reporting.

    Connect Apache Cassandra and point Signals at your Cassandra tables; it reports closed B2B deals so LinkedIn optimizes on account revenue each time the read runs, hashed and consent-checked for LinkedIn.

    Talk to our team Explore the setup

    apache-cassandra -> linkedin-offline-capi :: live

    1. ● apache cassandra → linkedin.capi :: live
    2. > read closed_deals rows=44,319
    3. hash sha256(email,phone) consent=filtered
    4. route linkedin deliver
    5. ✓ delivered · 35,898 matched

    WHAT THIS ENABLES

    Apache Cassandra to LinkedIn Offline CAPI

    Apache Cassandra to LinkedIn Offline CAPI: Signals reads your Cassandra tables and reports closed B2B deals so LinkedIn optimizes on account revenue, hashed and consent-checked each time the read runs.

    • Offline and in-store sales from your Cassandra tables 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 Cassandra tables by platform teams running Cassandra.
    WHAT FLOWS WHERE

    The click, the conversion, and the credit.

    The conversion happens off LinkedIn, away from any pixel. Here is how Apache Cassandra closes the loop.

    LinkedIn credits the campaign that sourced the conversion conversion happens off-platform Ad click on LinkedIn Scheduled read sync recorded in Apache Cassan… S Signals hash · dedupe Conversions API delivered · credited
    WHO THIS IS FOR

    Built for the teams that own the number.

    B2B teams whose deals close long after the impression, with the records already in Cassandra tables and materialized views.

    Platform teams running Cassandra activating LinkedIn account-revenue reporting straight from Cassandra tables.

    HOW DATAHASH SETS IT UP

    From kickoff to verified events.

    1. Connect

      A read-only database user scoped to the Cassandra tables you name to feed LinkedIn's Conversions API, sized for long B2B attribution windows.

    2. Map

      A scheduled read pulls your Cassandra tables, and its columns map to LinkedIn's Conversions API in the visual mapper, hashed and checked for long B2B attribution windows.

    3. Deliver

      On each run, Signals pulls your Cassandra tables, reports closed B2B deals so LinkedIn optimizes on account revenue, and reads only the records changed since the last run, with long B2B attribution windows in the debugger.

    WHAT YOU GET

    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 Apache Cassandra records the event.
    ON THE WIRE

    What Offline CAPI actually receives.

    signals :: apache-cassandra.linkedin-offline-capi :: wire

    1. ● signals :: event payload
    2. > POST /conversionEvents source=apache-cassandra.closed_deals
    3. conversion "urn:lla:llaPartnerConversion:98755"
    4. conversionHappenedAt 1783913755000
    5. user.userIds [{ idType: "SHA256_EMAIL", idValue: "9c41af…" }]
    6. ✓ accepted · conversionValue 38107 USD
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    FAQ

    Asked on almost every call.

    How often does the Apache Cassandra LinkedIn Offline CAPI sync run?

    You set the cadence, from near-real-time to a nightly Apache Cassandra sync of your Cassandra tables into LinkedIn. Since Signals reads only the records changed since the last run, pipeline revenue tied to the LinkedIn campaigns that sourced it keeps pace and platform teams running Cassandra watch long B2B attribution windows. One scoped connection sets it up, cadence adjustable later.

    What match rate should a Apache Cassandra-sourced LinkedIn Offline CAPI batch expect?

    In Apache Cassandra, match rate tracks the email and phone quality your Cassandra tables carry. Clean identifiers land for LinkedIn; blank ones never will. The first Conversions API report shows platform teams running Cassandra where long B2B attribution windows needs work, a data-quality task handled in Apache Cassandra.

    NEXT STEP

    Apache Cassandra to LinkedIn Offline CAPI, in production this week.

    Talk to our team All Apache Cassandra use cases