CONNECTIONS / Clickhouse / ClickHouse to Google EC for Leads
From ClickHouse tables to Google Enhanced Conversions for Leads.
Signals reads your ClickHouse tables through a read-only database user scoped to the ClickHouse tables you name, then sends down-funnel lead milestones matched to the originating Google click so Google Ads sees lead conversions without an export.
- ● clickhouse → google.leads :: live
- > read lead_pipeline rows=68,102
- hash sha256(email,phone) consent=filtered
- route google deliver
- ✓ delivered · 59,249 matched
WHAT THIS ENABLES
ClickHouse to Google EC for Leads
Google EC for Leads for ClickHouse: Signals sends down-funnel lead milestones matched to the originating Google click straight from your ClickHouse tables, hashed and consent-screened each time the read runs.
- Signals sends down-funnel lead milestones matched to the originating Google click, reading your ClickHouse tables each time the read runs.
- Lead-value signals matched to the paid click, with no export step out of your ClickHouse tables.
WHAT FLOWS WHERE
Clickhouse to EC for Leads, mapped.
Each sync hands the qualified-lead and pipeline signals from your ClickHouse tables 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 ClickHouse tables 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.
Analytics engineers on ClickHouse who need lead-value bidding fed by the stages your pipeline actually reaches out of ClickHouse tables.
From kickoff to verified events.
-
Connect
A read-only database user scoped to the ClickHouse tables 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 ClickHouse 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.
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Deliver
Each time the read runs, Signals reads your ClickHouse 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 ships with this use case.
Lead-value bidding fed by the stages your pipeline actually reaches from your ClickHouse tables, delivered each time the read runs.
Lead-value signals matched to the paid click out of your ClickHouse 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 ClickHouse tables.
What EC for Leads actually receives.
- ● signals :: event payload
- > POST /conversion_action source=clickhouse.lead_pipeline
- gclid "Cj0KCQjw…" · conversion_action "sql_reached"
- conversion_value 5 · currency AED
- hashed_email sha256 "9c41af…"
- ✓ accepted match=gclid+hashed_email
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How often does the ClickHouse Google EC for Leads sync run?
The pace follows your ClickHouse tables: Signals sends changes from ClickHouse 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 analytics engineers on ClickHouse keep GCLID and hashed-email matching in view. Delivery needs no export and no manual upload.
What match rate should a ClickHouse-sourced Google EC for Leads batch expect?
In ClickHouse, match rate tracks the email and phone quality your ClickHouse tables carry. Clean identifiers land for Google Ads; blank ones never will. The first Enhanced Conversions API report shows analytics engineers on ClickHouse where GCLID and hashed-email matching needs work, a data-quality task handled in ClickHouse.
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