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    CONNECTIONS / PostgreSQL / PostgreSQL to Google EC for Leads

    Your PostgreSQL tables, wired to Google Enhanced Conversions for Leads.

    Signals reads your PostgreSQL tables through a read-only database user scoped to the PostgreSQL tables you name, then sends down-funnel lead milestones matched to the originating Google click so Google Ads sees lead conversions without an export.

    Talk to our team Explore the setup

    postgresql -> google-ec-leads :: live

    1. ● postgresql → google.leads :: live
    2. > read lead_pipeline rows=64,060
    3. hash sha256(email,phone) consent=filtered
    4. route google deliver
    5. ✓ delivered · 49,326 matched

    WHAT THIS ENABLES

    PostgreSQL to Google EC for Leads

    Google EC for Leads for PostgreSQL: Signals sends down-funnel lead milestones matched to the originating Google click straight from your PostgreSQL tables, hashed and consent-screened each time the read runs.

    • Signals sends down-funnel lead milestones matched to the originating Google click, reading your PostgreSQL tables each time the read runs.
    • Lead-value signals matched to the paid click, with no export step out of your PostgreSQL tables.

    WHAT FLOWS WHERE

    PostgreSQL to EC for Leads, mapped.

    Signals reads the qualified-lead and pipeline signals from your PostgreSQL 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 PostgreSQL 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, working out of PostgreSQL tables, views, and materialized views.

    Engineering teams running PostgreSQL who need lead-value bidding fed by the stages your pipeline actually reaches out of PostgreSQL tables.

    HOW DATAHASH SETS IT UP

    From kickoff to verified events.

    1. Connect

      A read-only database user scoped to the PostgreSQL tables you name, mapped to Google Ads' Enhanced Conversions API and tuned for GCLID and hashed-email matching.

    2. Map

      Columns from your PostgreSQL tables align to Google Ads' Enhanced Conversions API in the visual mapper, hashed as the read runs and checked for GCLID and hashed-email matching.

    3. Deliver

      Each time the read runs, Signals reads your PostgreSQL tables and sends down-funnel lead milestones matched to the originating Google click, reads only the records changed since the last run, with GCLID and hashed-email matching watched in the debugger.

    WHAT YOU GET

    What ships with this use case.

    Lead-value bidding fed by the stages your pipeline actually reaches from your PostgreSQL tables, delivered each time the read runs.

    Lead-value signals matched to the paid click out of your PostgreSQL tables, delivered each time the read runs without read load on the database climbing.

    Match feedback on GCLID and hashed-email matching from Google Ads' Enhanced Conversions API each run, tied back to your PostgreSQL tables.

    ON THE WIRE

    What EC for Leads actually receives.

    signals :: postgresql.google-ec-leads :: wire

    1. ● signals :: event payload
    2. > POST /conversion_action source=postgresql.lead_pipeline
    3. gclid "Cj0KCQjw…" · conversion_action "sql_reached"
    4. conversion_value 7 · currency GBP
    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 PostgreSQL Google EC for Leads sync run?

    Delivery tracks PostgreSQL, run by engineering teams running PostgreSQL: a near-real-time or scheduled sync of your PostgreSQL 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 PostgreSQL-sourced Google EC for Leads batch expect?

    Coverage of hashed identifiers across your PostgreSQL tables decides it, and engineering teams running PostgreSQL own that inside PostgreSQL. A live email or phone matches into Google Ads; neither, and it will not. First-run feedback flags GCLID and hashed-email matching, which engineering teams running PostgreSQL then raise inside your PostgreSQL tables.

    NEXT STEP

    PostgreSQL to Google EC for Leads, in production this week.

    Talk to our team All PostgreSQL use cases