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    CONNECTIONS / Microsoft SQL Server / SQL Server to LinkedIn Leads CAPI

    Your SQL Server tables, wired to LinkedIn lead-stage optimization.

    Connect SQL Server and point Signals at your SQL Server 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

    microsoft-sql-server -> linkedin-leads-capi :: live

    1. ● sql server → linkedin.capi :: live
    2. > read lead_pipeline rows=48,946
    3. hash sha256(email,phone) consent=filtered
    4. route linkedin deliver
    5. ✓ delivered · 42,094 matched

    WHAT THIS ENABLES

    SQL Server to LinkedIn Leads CAPI

    SQL Server to LinkedIn Leads CAPI: Signals reads your SQL Server 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 SQL Server 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 SQL Server tables by data teams running SQL Server.

    WHAT FLOWS WHERE

    Microsoft SQL Server to Leads CAPI, mapped.

    Signals reads the qualified-lead and pipeline signals from your SQL Server 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 SQL Server 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 SQL Server tables, views, and indexed views.

    Data teams running SQL Server activating LinkedIn lead-stage optimization straight from SQL Server tables.

    HOW DATAHASH SETS IT UP

    From kickoff to verified events.

    1. Connect

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

    2. Map

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

    Campaign focus on the deals that advance from your SQL Server 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 SQL Server tables.

    ON THE WIRE

    What Leads CAPI actually receives.

    signals :: microsoft-sql-server.linkedin-leads-capi :: wire

    1. ● signals :: event payload
    2. > POST /conversionEvents source=microsoft-sql-server.lead_pipeline
    3. conversion "urn:lla:llaPartnerConversion:72765"
    4. conversionHappenedAt 1784732765000
    5. user.userIds [{ idType: "SHA256_EMAIL", idValue: "b19e04…" }]
    6. ✓ accepted · conversionValue 1493 USD
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    FAQ

    Asked on almost every call.

    How often does the SQL Server LinkedIn Leads CAPI sync run?

    Delivery tracks SQL Server, run by data teams running SQL Server: a near-real-time or scheduled sync of your SQL Server tables feeds LinkedIn on that cadence. Each run reads only the records changed since the last run, so campaign focus on the deals that advance holds up on opportunity-stage weighting. The live debugger confirms every delivery inline.

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

    Match rate follows identifier coverage in your SQL Server tables, which data teams running SQL Server control, not SQL Server 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 data teams running SQL Server tune against.

    NEXT STEP

    SQL Server to LinkedIn Leads CAPI, in production this week.

    Talk to our team All Microsoft SQL Server use cases