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    CONNECTIONS / GCS / GCS to LinkedIn Leads CAPI

    Your GCS objects, wired to LinkedIn lead-stage optimization.

    Connect GCS and point Signals at your GCS objects; it reports deal-stage progress so LinkedIn favors opportunities that advance each time a new file lands, hashed and consent-checked for LinkedIn.

    Talk to our team Explore the setup

    google-cloud-storage -> linkedin-leads-capi :: live

    1. ● gcs → linkedin.capi :: live
    2. > read lead_pipeline rows=72,554
    3. hash sha256(email,phone) consent=filtered
    4. route linkedin deliver
    5. ✓ delivered · 60,945 matched

    WHAT THIS ENABLES

    GCS to LinkedIn Leads CAPI

    GCS to LinkedIn Leads CAPI: your GCS objects, hashed and consent-checked, feed LinkedIn as Signals reports deal-stage progress so LinkedIn favors opportunities that advance each time a new file lands.

    • Qualified-lead and pipeline signals from your GCS objects 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 GCS objects by data teams landing exports in GCS.

    WHAT FLOWS WHERE

    GCS to Leads CAPI, mapped.

    Each sync hands the qualified-lead and pipeline signals from your GCS objects to Signals, which hashes and filters every record, then LinkedIn's Leads Conversions API logs the lead conversions for opportunity-stage weighting.

    Each sync hands the qualified-lead and pipeline signals from your GCS objects to Signals, which hashes and filters every record, then LinkedIn's Leads Conversions API logs 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 Google Cloud Storage buckets and objects.

    Data teams landing exports in GCS activating LinkedIn lead-stage optimization straight from GCS objects.

    HOW DATAHASH SETS IT UP

    From kickoff to verified events.

    1. Connect

      A read-only service account scoped to the one GCS bucket you name to feed LinkedIn's Leads Conversions API, sized for opportunity-stage weighting.

    2. Map

      Signals picks up your GCS objects, 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 GCS objects, reports deal-stage progress so LinkedIn favors opportunities that advance, and processes only the newly dropped file, 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 GCS objects and processes only the newly dropped file.

    Campaign focus on the deals that advance from your GCS objects, with transfer overhead steady because Signals processes only the newly dropped file.

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

    ON THE WIRE

    What Leads CAPI actually receives.

    signals :: google-cloud-storage.linkedin-leads-capi :: wire

    1. ● signals :: event payload
    2. > POST /conversionEvents source=google-cloud-storage.lead_pipeline
    3. conversion "urn:lla:llaPartnerConversion:63761"
    4. conversionHappenedAt 1784383761000
    5. user.userIds [{ idType: "SHA256_EMAIL", idValue: "b19e04…" }]
    6. ✓ accepted · conversionValue 2078 USD
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    FAQ

    Asked on almost every call.

    How often does the GCS LinkedIn Leads CAPI sync run?

    The pace follows your GCS objects: Signals sends changes from GCS to LinkedIn each time a new file lands. Because it processes only the newly dropped file, LinkedIn focus on the deals that actually advance stays current while data teams landing exports in GCS keep opportunity-stage weighting in view. Delivery needs no export and no manual upload.

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

    Coverage of hashed identifiers across your GCS objects decides it, and data teams landing exports in GCS own that inside GCS. A live email or phone matches into LinkedIn; neither, and it will not. First-run feedback flags opportunity-stage weighting, which data teams landing exports in GCS then raise inside your GCS objects.

    NEXT STEP

    GCS to LinkedIn Leads CAPI, in production this week.

    Talk to our team All GCS use cases