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    CONNECTIONS / Redshift / Redshift to LinkedIn Leads CAPI

    Qualified-lead and pipeline signals in Redshift, activated for LinkedIn lead-stage optimization.

    Grant a scoped IAM role, name the table or materialized view, and Signals reports deal-stage progress so LinkedIn favors opportunities that advance with no UNLOAD to S3 and no file to hand off.

    Talk to our team Explore the setup

    redshift -> linkedin-leads-capi :: live

    1. ● redshift → linkedin.capi :: live
    2. > read crm.opportunity_stage rows=72,283
    3. hash sha256(email,phone) consent=filtered
    4. route linkedin deliver
    5. ✓ delivered · 62,163 matched

    WHAT THIS ENABLES

    Redshift to LinkedIn Leads CAPI

    Redshift to LinkedIn Leads CAPI: The Redshift Data API reads the qualified-lead and pipeline signals in your Redshift tables, and Signals reports deal-stage progress so LinkedIn favors opportunities that advance, hashed and consent-checked as the materialized view refreshes.

    • Signals reports deal-stage progress so LinkedIn favors opportunities that advance, reading your Redshift tables as the materialized view refreshes.
    • LinkedIn focus on the deals that actually advance, fed by analytics teams maintaining Redshift tables and materialized views.

    WHAT FLOWS WHERE

    Redshift to Leads CAPI, mapped.

    Signals pulls qualified-lead and pipeline signals through the Redshift Data API, hashes and filters every row, and posts the lead conversions to LinkedIn's Leads Conversions API, keeping opportunity-stage weighting in view.

    Signals pulls qualified-lead and pipeline signals through the Redshift Data API, hashes and filters every row, 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 numbers already modeled in Redshift tables and materialized views.

    Analytics teams maintaining Redshift tables and materialized views who need LinkedIn focus on the deals that actually advance.

    HOW DATAHASH SETS IT UP

    From kickoff to verified events.

    1. Connect

      A scoped IAM role with SELECT on the schema you name to feed LinkedIn's Leads Conversions API, sized for opportunity-stage weighting.

    2. Map

      The Redshift Data API reads your Redshift tables, and its columns map to LinkedIn's Leads Conversions API in the visual mapper, hashed and checked for opportunity-stage weighting.

    3. Deliver

      As the materialized view refreshes, Signals reports deal-stage progress so LinkedIn favors opportunities that advance, touches only the rows changed since the last read, 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 on every run, since Signals touches only the rows changed since the last read.

    Campaign focus on the deals that advance, delivered as the materialized view refreshes without RA3 load climbing.

    Each run returns a match report on opportunity-stage weighting from LinkedIn's Leads Conversions API, read from your Redshift tables as the materialized view refreshes, at flat RA3 load.

    ON THE WIRE

    What Leads CAPI actually receives.

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

    1. ● signals :: event payload
    2. > POST /conversionEvents source=redshift.crm.opportunity_stage
    3. conversion "urn:lla:llaPartnerConversion:57819"
    4. conversionHappenedAt 1783904819000
    5. user.userIds [{ idType: "SHA256_EMAIL", idValue: "b19e04…" }]
    6. ✓ accepted · conversionValue 3552 USD
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    FAQ

    Asked on almost every call.

    How often does the Redshift LinkedIn Leads CAPI sync run?

    The refresh schedule drives it: when the materialized view rebuilds nightly, LinkedIn gets a nightly feed, and an hourly refresh runs hourly. Each read touches only changed rows, so LinkedIn focus on the deals that actually advance stays fresh for opportunity-stage weighting without RA3 load rising.

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

    The fill rate of the view matters more than Redshift itself. A clean hashed email or phone matches; a blank one never will. The first scheduled read reports quality from LinkedIn's Leads Conversions API, the figure B2B advertisers whose LinkedIn forms fill faster than they qualify weigh against opportunity-stage weighting.

    NEXT STEP

    Redshift to LinkedIn Leads CAPI, in production this week.

    Talk to our team All Redshift use cases