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    CONNECTIONS / Microsoft SQL Server / SQL Server to Google EC for Leads

    Your SQL Server tables, wired to Google Enhanced Conversions for Leads.

    Connect SQL Server and point Signals at your SQL Server tables; it sends down-funnel lead milestones matched to the originating Google click each time the read runs, hashed and consent-checked for Google Ads.

    Talk to our team Explore the setup

    microsoft-sql-server -> google-ec-leads :: live

    1. ● sql server → google.leads :: live
    2. > read lead_pipeline rows=63,383
    3. hash sha256(email,phone) consent=filtered
    4. route google deliver
    5. ✓ delivered · 53,242 matched

    WHAT THIS ENABLES

    SQL Server to Google EC for Leads

    SQL Server to Google EC for Leads: Signals reads your SQL Server tables and sends down-funnel lead milestones matched to the originating Google click, hashed and consent-checked each time the read runs.

    • Qualified-lead and pipeline signals from your SQL Server tables activated for Google Ads, as Signals sends down-funnel lead milestones matched to the originating Google click.
    • Lead-value bidding fed by the stages your pipeline actually reaches, drawn from your SQL Server tables by data teams running SQL Server.

    WHAT FLOWS WHERE

    Microsoft SQL Server to EC for Leads, 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 Google Ads' Enhanced Conversions API, keeping GCLID and hashed-email matching 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 Google Ads' Enhanced Conversions API, keeping GCLID and hashed-email matching in view.

    WHO THIS IS FOR

    Built for the teams that own the number.

    Google lead-gen advertisers bidding past the first form submit, with the records already in SQL Server tables, views, and indexed views.

    Data teams running SQL Server activating Google Enhanced Conversions for Leads 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 Google Ads' Enhanced Conversions API, sized for GCLID and hashed-email matching.

    2. Map

      A scheduled read pulls your SQL Server tables, and its columns map to Google Ads' Enhanced Conversions API in the visual mapper, hashed and checked for GCLID and hashed-email matching.

    3. Deliver

      On each run, Signals pulls your SQL Server tables, sends down-funnel lead milestones matched to the originating Google click, and reads only the records changed since the last run, with GCLID and hashed-email matching in the debugger.

    WHAT YOU GET

    What ships with this use case.

    Lead-value bidding fed by the stages your pipeline actually reaches on every run, as Signals reads your SQL Server tables and reads only the records changed since the last run.

    Lead-value signals matched to the paid click 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 Google Ads' Enhanced Conversions API on GCLID and hashed-email matching, straight out of your SQL Server tables.

    ON THE WIRE

    What EC for Leads actually receives.

    signals :: microsoft-sql-server.google-ec-leads :: wire

    1. ● signals :: event payload
    2. > POST /conversion_action source=microsoft-sql-server.lead_pipeline
    3. gclid "Cj0KCQjw…" · conversion_action "sql_reached"
    4. conversion_value 8 · currency SAR
    5. hashed_email sha256 "9c41af…"
    6. ✓ accepted match=gclid+hashed_email
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    FAQ

    Asked on almost every call.

    How often does the SQL Server Google EC for Leads 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 Google Ads on that cadence. Each run reads only the records changed since the last run, so lead-value signals matched to the paid click holds up on GCLID and hashed-email matching. The live debugger confirms every delivery inline.

    What match rate should a SQL Server-sourced Google EC for Leads 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 Google Ads; one missing both cannot. First-run feedback from Enhanced Conversions API pinpoints GCLID and hashed-email matching, the number data teams running SQL Server tune against.

    NEXT STEP

    SQL Server to Google EC for Leads, in production this week.

    Talk to our team All Microsoft SQL Server use cases