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    CONNECTIONS / Oracle / Oracle to LinkedIn Leads CAPI

    From Oracle tables to LinkedIn lead-stage optimization.

    Signals reads your Oracle tables through a read-only database user scoped to the Oracle tables you name, then reports deal-stage progress so LinkedIn favors opportunities that advance so LinkedIn sees lead conversions without an export.

    Talk to our team Explore the setup

    oracle -> linkedin-leads-capi :: live

    1. ● oracle → linkedin.capi :: live
    2. > read lead_pipeline rows=13,899
    3. hash sha256(email,phone) consent=filtered
    4. route linkedin deliver
    5. ✓ delivered · 10,146 matched

    WHAT THIS ENABLES

    Oracle to LinkedIn Leads CAPI

    LinkedIn Leads CAPI for Oracle: Signals reports deal-stage progress so LinkedIn favors opportunities that advance straight from your Oracle tables, hashed and consent-screened each time the read runs.

    • Signals reports deal-stage progress so LinkedIn favors opportunities that advance, reading your Oracle tables each time the read runs.
    • Campaign focus on the deals that advance, with no export step out of your Oracle tables.

    WHAT FLOWS WHERE

    Oracle to Leads CAPI, mapped.

    Signals reads the qualified-lead and pipeline signals from your Oracle tables each time the read runs, hashes and screens each record, and posts the lead conversions to LinkedIn's Leads Conversions API, keeping opportunity-stage weighting in view.

    Signals reads the qualified-lead and pipeline signals from your Oracle tables each time the read runs, hashes and screens each record, and posts the lead conversions to LinkedIn's Leads Conversions API, keeping opportunity-stage weighting in view.

    WHO THIS IS FOR

    Built for the teams that own the number.

    B2B advertisers whose LinkedIn forms fill faster than they qualify, working out of Oracle tables, views, and PL/SQL results.

    Enterprise data teams on Oracle who need LinkedIn focus on the deals that actually advance out of Oracle tables.

    HOW DATAHASH SETS IT UP

    From kickoff to verified events.

    1. Connect

      A read-only database user scoped to the Oracle tables you name, mapped to LinkedIn's Leads Conversions API and tuned for opportunity-stage weighting.

    2. Map

      Columns from your Oracle tables align to LinkedIn's Leads Conversions API in the visual mapper, hashed as the read runs and checked for opportunity-stage weighting.

    3. Deliver

      Each time the read runs, Signals reads your Oracle tables and reports deal-stage progress so LinkedIn favors opportunities that advance, reads only the records changed since the last run, with opportunity-stage weighting watched in the debugger.

    WHAT YOU GET

    What ships with this use case.

    LinkedIn focus on the deals that actually advance from your Oracle tables, delivered each time the read runs.

    Campaign focus on the deals that advance out of your Oracle tables, delivered each time the read runs without read load on the database climbing.

    Match feedback on opportunity-stage weighting from LinkedIn's Leads Conversions API each run, tied back to your Oracle tables.

    ON THE WIRE

    What Leads CAPI actually receives.

    signals :: oracle.linkedin-leads-capi :: wire

    1. ● signals :: event payload
    2. > POST /conversionEvents source=oracle.lead_pipeline
    3. conversion "urn:lla:llaPartnerConversion:48912"
    4. conversionHappenedAt 1784095912000
    5. user.userIds [{ idType: "SHA256_EMAIL", idValue: "b19e04…" }]
    6. ✓ accepted · conversionValue 1997 USD
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    FAQ

    Asked on almost every call.

    How often does the Oracle LinkedIn Leads CAPI sync run?

    You set the cadence, from near-real-time to a nightly Oracle sync of your Oracle 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 enterprise data teams on Oracle watch opportunity-stage weighting. One scoped connection sets it up, cadence adjustable later.

    What match rate should a Oracle-sourced LinkedIn Leads CAPI batch expect?

    Match rate follows identifier coverage in your Oracle tables, which enterprise data teams on Oracle control, not Oracle itself. A record with a current hashed email or phone matches for LinkedIn; one missing both cannot. First-run feedback from Leads Conversions API pinpoints opportunity-stage weighting, the number enterprise data teams on Oracle tune against.

    NEXT STEP

    Oracle to LinkedIn Leads CAPI, in production this week.

    Talk to our team All Oracle use cases