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    CONNECTIONS / Oracle / Oracle to Google EC for Leads

    From Oracle tables to Google Enhanced Conversions for Leads.

    Signals reads your Oracle tables through a read-only database user scoped to the Oracle 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

    oracle -> google-ec-leads :: live

    1. ● oracle → google.leads :: live
    2. > read lead_pipeline rows=68,873
    3. hash sha256(email,phone) consent=filtered
    4. route google deliver
    5. ✓ delivered · 51,655 matched

    WHAT THIS ENABLES

    Oracle to Google EC for Leads

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

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

    WHAT FLOWS WHERE

    Oracle to EC for Leads, mapped.

    Signals reads the qualified-lead and pipeline signals from your Oracle 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 Oracle 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 Oracle tables, views, and PL/SQL results.

    Enterprise data teams on Oracle who need lead-value bidding fed by the stages your pipeline actually reaches out of Oracle tables.

    HOW DATAHASH SETS IT UP

    From kickoff to verified events.

    1. Connect

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

    2. Map

      Columns from your Oracle 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 Oracle 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 Oracle tables, delivered each time the read runs.

    Lead-value signals matched to the paid click out of your Oracle 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 Oracle tables.

    ON THE WIRE

    What EC for Leads actually receives.

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

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

    You set the cadence, from near-real-time to a nightly Oracle sync of your Oracle tables into Google Ads. Since Signals reads only the records changed since the last run, lead-value bidding fed by the stages your pipeline actually reaches keeps pace and enterprise data teams on Oracle watch GCLID and hashed-email matching. One scoped connection sets it up, cadence adjustable later.

    What match rate should a Oracle-sourced Google EC for Leads batch expect?

    Match rate follows identifier coverage in your Oracle tables, which enterprise data teams on Oracle control, not Oracle 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 enterprise data teams on Oracle tune against.

    NEXT STEP

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

    Talk to our team All Oracle use cases