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    CONNECTIONS / MongoDB / MongoDB to Google EC for Leads

    From MongoDB collections to Google Enhanced Conversions for Leads.

    Signals reads your MongoDB collections through a read-only database user scoped to the MongoDB collections 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

    mongodb -> google-ec-leads :: live

    1. ● mongodb → google.leads :: live
    2. > read lead_pipeline rows=20,266
    3. hash sha256(email,phone) consent=filtered
    4. route google deliver
    5. ✓ delivered · 18,037 matched

    WHAT THIS ENABLES

    MongoDB to Google EC for Leads

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

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

    WHAT FLOWS WHERE

    MongoDB to EC for Leads, mapped.

    Each sync hands the qualified-lead and pipeline signals from your MongoDB collections to Signals, which hashes and filters every record, then Google Ads' Enhanced Conversions API logs the lead conversions for GCLID and hashed-email matching.

    Each sync hands the qualified-lead and pipeline signals from your MongoDB collections to Signals, which hashes and filters every record, then Google Ads' Enhanced Conversions API logs the lead conversions for GCLID and hashed-email matching.

    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 MongoDB collections and aggregation views.

    Application teams running MongoDB who need lead-value bidding fed by the stages your pipeline actually reaches out of MongoDB collections.

    HOW DATAHASH SETS IT UP

    From kickoff to verified events.

    1. Connect

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

    2. Map

      Columns from your MongoDB collections 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 MongoDB collections 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 MongoDB collections, delivered each time the read runs.

    Lead-value signals matched to the paid click out of your MongoDB collections, 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 MongoDB collections.

    ON THE WIRE

    What EC for Leads actually receives.

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

    1. ● signals :: event payload
    2. > POST /conversion_action source=mongodb.lead_pipeline
    3. gclid "Cj0KCQjw…" · conversion_action "sql_reached"
    4. conversion_value 5 · currency AED
    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 MongoDB Google EC for Leads sync run?

    The pace follows your MongoDB collections: Signals sends changes from MongoDB to Google Ads each time the read runs. Because it reads only the records changed since the last run, lead-value bidding fed by the stages your pipeline actually reaches stays current while application teams running MongoDB keep GCLID and hashed-email matching in view. Delivery needs no export and no manual upload.

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

    In MongoDB, match rate tracks the email and phone quality your MongoDB collections carry. Clean identifiers land for Google Ads; blank ones never will. The first Enhanced Conversions API report shows application teams running MongoDB where GCLID and hashed-email matching needs work, a data-quality task handled in MongoDB.

    NEXT STEP

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

    Talk to our team All MongoDB use cases