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

    Your SQL Server tables, wired to Snapchat qualified-lead reporting.

    Connect SQL Server and point Signals at your SQL Server tables; it sends qualified-lead events so Snapchat bids toward leads that convert offline each time the read runs, hashed and consent-checked for Snapchat.

    Talk to our team Explore the setup

    microsoft-sql-server -> snap-lead-gen-capi :: live

    1. ● sql server → snap.capi :: live
    2. > read lead_pipeline rows=57,455
    3. hash sha256(email,phone) consent=filtered
    4. route snap deliver
    5. ✓ delivered · 48,262 matched

    WHAT THIS ENABLES

    SQL Server to Snapchat Leads CAPI

    SQL Server to Snapchat Leads CAPI: Signals reads your SQL Server tables and sends qualified-lead events so Snapchat bids toward leads that convert offline, hashed and consent-checked each time the read runs.

    • Qualified-lead and pipeline signals from your SQL Server tables activated for Snapchat, as Signals sends qualified-lead events so Snapchat bids toward leads that convert offline.
    • Snapchat optimizing on qualified leads instead of raw submissions, drawn from your SQL Server tables by data teams running SQL Server.

    WHAT FLOWS WHERE

    Microsoft SQL Server to Lead Gen 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 Snapchat's Leads Conversions API, keeping qualified-lead signals 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 Snapchat's Leads Conversions API, keeping qualified-lead signals in view.

    WHO THIS IS FOR

    Built for the teams that own the number.

    Snapchat lead-gen advertisers qualifying leads after the form, with the records already in SQL Server tables, views, and indexed views.

    Data teams running SQL Server activating Snapchat qualified-lead reporting 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 Snapchat's Leads Conversions API, sized for qualified-lead signals.

    2. Map

      A scheduled read pulls your SQL Server tables, and its columns map to Snapchat's Leads Conversions API in the visual mapper, hashed and checked for qualified-lead signals.

    3. Deliver

      On each run, Signals pulls your SQL Server tables, sends qualified-lead events so Snapchat bids toward leads that convert offline, and reads only the records changed since the last run, with qualified-lead signals in the debugger.

    WHAT YOU GET

    What ships with this use case.

    Snapchat optimizing on qualified leads instead of raw submissions on every run, as Signals reads your SQL Server tables and reads only the records changed since the last run.

    Spend steered toward leads that qualify 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 Snapchat's Leads Conversions API on qualified-lead signals, straight out of your SQL Server tables.

    ON THE WIRE

    What Lead Gen CAPI actually receives.

    signals :: microsoft-sql-server.snap-lead-gen-capi :: wire

    1. ● signals :: event payload
    2. > POST /v2/conversion source=microsoft-sql-server.lead_pipeline
    3. event_type "QUALIFIED_LEAD" · event_conversion_type "OFFLINE"
    4. hashed_email "4ac910…" · hashed_phone_number "7e30bc…"
    5. timestamp 1784539317
    6. ✓ accepted · match=true
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    FAQ

    Asked on almost every call.

    How often does the SQL Server Snap 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 Snapchat on that cadence. Each run reads only the records changed since the last run, so spend steered toward leads that qualify holds up on qualified-lead signals. The live debugger confirms every delivery inline.

    What match rate should a SQL Server-sourced Snap 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 Snapchat; one missing both cannot. First-run feedback from Leads Conversions API pinpoints qualified-lead signals, the number data teams running SQL Server tune against.

    NEXT STEP

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

    Talk to our team All Microsoft SQL Server use cases