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    CONNECTIONS / Apache Cassandra / Apache Cassandra to LinkedIn Leads CAPI

    From Cassandra tables to LinkedIn lead-stage optimization.

    Connect Apache Cassandra and point Signals at your Cassandra tables; it reports deal-stage progress so LinkedIn favors opportunities that advance each time the read runs, hashed and consent-checked for LinkedIn.

    Talk to our team Explore the setup

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

    1. ● apache cassandra → linkedin.capi :: live
    2. > read lead_pipeline rows=45,474
    3. hash sha256(email,phone) consent=filtered
    4. route linkedin deliver
    5. ✓ delivered · 37,289 matched

    WHAT THIS ENABLES

    Apache Cassandra to LinkedIn Leads CAPI

    Apache Cassandra to LinkedIn Leads CAPI: Signals reads your Cassandra tables and reports deal-stage progress so LinkedIn favors opportunities that advance, hashed and consent-checked each time the read runs.

    • Qualified-lead and pipeline signals from your Cassandra tables activated for LinkedIn, as Signals reports deal-stage progress so LinkedIn favors opportunities that advance.
    • LinkedIn focus on the deals that actually advance, drawn from your Cassandra tables by platform teams running Cassandra.

    WHAT FLOWS WHERE

    Apache Cassandra to Leads CAPI, mapped.

    A scheduled read pulls the qualified-lead and pipeline signals from your Cassandra tables; Signals hashes and consent-screens each record before LinkedIn's Leads Conversions API accepts the lead conversions for opportunity-stage weighting.

    A scheduled read pulls the qualified-lead and pipeline signals from your Cassandra tables; Signals hashes and consent-screens each record before LinkedIn's Leads Conversions API accepts the lead conversions for opportunity-stage weighting.

    WHO THIS IS FOR

    Built for the teams that own the number.

    B2B advertisers whose LinkedIn forms fill faster than they qualify, with the records already in Cassandra tables and materialized views.

    Platform teams running Cassandra activating LinkedIn lead-stage optimization 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 Leads Conversions API, sized for opportunity-stage weighting.

    2. Map

      A scheduled read pulls your Cassandra tables, and its columns map to LinkedIn's Leads Conversions API in the visual mapper, hashed and checked for opportunity-stage weighting.

    3. Deliver

      On each run, Signals pulls your Cassandra tables, reports deal-stage progress so LinkedIn favors opportunities that advance, and reads only the records changed since the last run, with opportunity-stage weighting in the debugger.

    WHAT YOU GET

    What ships with this use case.

    LinkedIn focus on the deals that actually advance on every run, as Signals reads your Cassandra tables and reads only the records changed since the last run.

    Campaign focus on the deals that advance from your Cassandra tables, with read load on the database steady because Signals reads only the records changed since the last run.

    A per-run match report from LinkedIn's Leads Conversions API on opportunity-stage weighting, straight out of your Cassandra tables.

    ON THE WIRE

    What Leads CAPI actually receives.

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

    1. ● signals :: event payload
    2. > POST /conversionEvents source=apache-cassandra.lead_pipeline
    3. conversion "urn:lla:llaPartnerConversion:62175"
    4. conversionHappenedAt 1784049175000
    5. user.userIds [{ idType: "SHA256_EMAIL", idValue: "b19e04…" }]
    6. ✓ accepted · conversionValue 4334 USD
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    FAQ

    Asked on almost every call.

    How often does the Apache Cassandra LinkedIn Leads 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, LinkedIn focus on the deals that actually advance keeps pace and platform teams running Cassandra watch opportunity-stage weighting. One scoped connection sets it up, cadence adjustable later.

    What match rate should a Apache Cassandra-sourced LinkedIn Leads 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 Leads Conversions API report shows platform teams running Cassandra where opportunity-stage weighting needs work, a data-quality task handled in Apache Cassandra.

    NEXT STEP

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

    Talk to our team All Apache Cassandra use cases