CONNECTIONS / CouchDB / CouchDB to Google EC for Leads
CouchDB documents into Google Ads, built for Google Enhanced Conversions for Leads.
Signals reads your CouchDB documents through a read-only database user scoped to the CouchDB documents you name, then sends down-funnel lead milestones matched to the originating Google click so Google Ads sees lead conversions without an export.
- ● couchdb → google.leads :: live
- > read lead_pipeline rows=57,290
- hash sha256(email,phone) consent=filtered
- route google deliver
- ✓ delivered · 42,968 matched
WHAT THIS ENABLES
CouchDB to Google EC for Leads
Google EC for Leads for CouchDB: Signals sends down-funnel lead milestones matched to the originating Google click straight from your CouchDB documents, hashed and consent-screened each time the read runs.
- Signals sends down-funnel lead milestones matched to the originating Google click, reading your CouchDB documents each time the read runs.
- Lead-value signals matched to the paid click, with no export step out of your CouchDB documents.
WHAT FLOWS WHERE
CouchDB to EC for Leads, mapped.
Each sync hands the qualified-lead and pipeline signals from your CouchDB documents 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 CouchDB documents to Signals, which hashes and filters every record, then Google Ads' Enhanced Conversions API logs the lead conversions for GCLID and hashed-email matching.
Built for the teams that own the number.
Application teams running CouchDB who need lead-value bidding fed by the stages your pipeline actually reaches out of CouchDB documents.
From kickoff to verified events.
-
Connect
A read-only database user scoped to the CouchDB documents you name, mapped to Google Ads' Enhanced Conversions API and tuned for GCLID and hashed-email matching.
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Map
Columns from your CouchDB documents align to Google Ads' Enhanced Conversions API in the visual mapper, hashed as the read runs and checked for GCLID and hashed-email matching.
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Deliver
Each time the read runs, Signals reads your CouchDB documents 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 ships with this use case.
Lead-value bidding fed by the stages your pipeline actually reaches from your CouchDB documents, delivered each time the read runs.
Lead-value signals matched to the paid click out of your CouchDB documents, 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 CouchDB documents.
What EC for Leads actually receives.
- ● signals :: event payload
- > POST /conversion_action source=couchdb.lead_pipeline
- gclid "Cj0KCQjw…" · conversion_action "sql_reached"
- conversion_value 7 · currency GBP
- hashed_email sha256 "9c41af…"
- ✓ accepted match=gclid+hashed_email
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How often does the CouchDB Google EC for Leads sync run?
Delivery tracks CouchDB, run by application teams running CouchDB: a near-real-time or scheduled sync of your CouchDB documents 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 CouchDB-sourced Google EC for Leads batch expect?
Coverage of hashed identifiers across your CouchDB documents decides it, and application teams running CouchDB own that inside CouchDB. A live email or phone matches into Google Ads; neither, and it will not. First-run feedback flags GCLID and hashed-email matching, which application teams running CouchDB then raise inside your CouchDB documents.
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