Jump to a popular page, or start typing.
    Talk to our team

    CONNECTIONS / IBM DB2 / IBM DB2 to LinkedIn Leads CAPI

    Db2 tables into LinkedIn, built for LinkedIn lead-stage optimization.

    Connect IBM DB2 and point Signals at your Db2 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

    ibm-db2 -> linkedin-leads-capi :: live

    1. ● ibm db2 → linkedin.capi :: live
    2. > read lead_pipeline rows=53,062
    3. hash sha256(email,phone) consent=filtered
    4. route linkedin deliver
    5. ✓ delivered · 45,633 matched

    WHAT THIS ENABLES

    IBM DB2 to LinkedIn Leads CAPI

    LinkedIn Leads CAPI for IBM DB2: Signals reports deal-stage progress so LinkedIn favors opportunities that advance straight from your Db2 tables, hashed and consent-screened each time the read runs.

    • Qualified-lead and pipeline signals from your Db2 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 Db2 tables by enterprise data teams on IBM DB2.

    WHAT FLOWS WHERE

    IBM DB2 to Leads CAPI, mapped.

    Signals reads the qualified-lead and pipeline signals from your Db2 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 Db2 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, with the records already in Db2 tables and views.

    Enterprise data teams on IBM DB2 activating LinkedIn lead-stage optimization straight from Db2 tables.

    HOW DATAHASH SETS IT UP

    From kickoff to verified events.

    1. Connect

      A read-only database user scoped to the Db2 tables you name to feed LinkedIn's Leads Conversions API, sized for opportunity-stage weighting.

    2. Map

      A scheduled read pulls your Db2 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 Db2 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 Db2 tables and reads only the records changed since the last run.

    Campaign focus on the deals that advance from your Db2 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 Db2 tables.

    ON THE WIRE

    What Leads CAPI actually receives.

    signals :: ibm-db2.linkedin-leads-capi :: wire

    1. ● signals :: event payload
    2. > POST /conversionEvents source=ibm-db2.lead_pipeline
    3. conversion "urn:lla:llaPartnerConversion:50115"
    4. conversionHappenedAt 1784734115000
    5. user.userIds [{ idType: "SHA256_EMAIL", idValue: "b19e04…" }]
    6. ✓ accepted · conversionValue 4282 USD
    RELATED USE CASES

    Adjacent moves on the same stack.

    from IBM DB2

    IBM DB2 to Meta Conversion Leads

    Meta CAPI for CRM for IBM DB2: Signals reports lead-stage progress so Meta bids toward…

    Learn more

    from IBM DB2

    IBM DB2 to Google EC for Leads

    Google EC for Leads for IBM DB2: Signals sends down-funnel lead milestones matched to the…

    Learn more

    same use case

    ActiveCampaign to LinkedIn Leads CAPI

    ActiveCampaign to LinkedIn Leads CAPI: Signals reads your ActiveCampaign contacts and deal…

    Learn more

    generic

    LinkedIn Leads Conversions API

    Datahash sends CRM lead events to LinkedIn server-side, so campaigns optimize toward…

    Learn more
    FAQ

    Asked on almost every call.

    How often does the IBM DB2 LinkedIn Leads CAPI sync run?

    The pace follows your Db2 tables: Signals sends changes from IBM DB2 to LinkedIn each time the read runs. Because it reads only the records changed since the last run, LinkedIn focus on the deals that actually advance stays current while enterprise data teams on IBM DB2 keep opportunity-stage weighting in view. Delivery needs no export and no manual upload.

    What match rate should a IBM DB2-sourced LinkedIn Leads CAPI batch expect?

    Coverage of hashed identifiers across your Db2 tables decides it, and enterprise data teams on IBM DB2 own that inside IBM DB2. A live email or phone matches into LinkedIn; neither, and it will not. First-run feedback flags opportunity-stage weighting, which enterprise data teams on IBM DB2 then raise inside your Db2 tables.

    NEXT STEP

    IBM DB2 to LinkedIn Leads CAPI, in production this week.

    Talk to our team All IBM DB2 use cases