CONNECTIONS / Apache Cassandra / Apache Cassandra to Google EC for Leads
From Cassandra tables to Google Enhanced Conversions for Leads.
Connect Apache Cassandra and point Signals at your Cassandra tables; it sends down-funnel lead milestones matched to the originating Google click each time the read runs, hashed and consent-checked for Google Ads.
- ● apache cassandra → google.leads :: live
- > read lead_pipeline rows=65,218
- hash sha256(email,phone) consent=filtered
- route google deliver
- ✓ delivered · 56,087 matched
WHAT THIS ENABLES
Apache Cassandra to Google EC for Leads
Apache Cassandra to Google EC for Leads: Signals reads your Cassandra tables and sends down-funnel lead milestones matched to the originating Google click, hashed and consent-checked each time the read runs.
- Qualified-lead and pipeline signals from your Cassandra tables activated for Google Ads, as Signals sends down-funnel lead milestones matched to the originating Google click.
- Lead-value bidding fed by the stages your pipeline actually reaches, drawn from your Cassandra tables by platform teams running Cassandra.
WHAT FLOWS WHERE
Apache Cassandra to EC for Leads, mapped.
A scheduled read pulls the qualified-lead and pipeline signals from your Cassandra tables; Signals hashes and consent-screens each record before Google Ads' Enhanced Conversions API accepts the lead conversions for GCLID and hashed-email matching.
A scheduled read pulls the qualified-lead and pipeline signals from your Cassandra tables; Signals hashes and consent-screens each record before Google Ads' Enhanced Conversions API accepts the lead conversions for GCLID and hashed-email matching.
Built for the teams that own the number.
Platform teams running Cassandra activating Google Enhanced Conversions for Leads straight from Cassandra tables.
From kickoff to verified events.
-
Connect
A read-only database user scoped to the Cassandra tables you name to feed Google Ads' Enhanced Conversions API, sized for GCLID and hashed-email matching.
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Map
A scheduled read pulls your Cassandra tables, and its columns map to Google Ads' Enhanced Conversions API in the visual mapper, hashed and checked for GCLID and hashed-email matching.
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Deliver
On each run, Signals pulls your Cassandra tables, sends down-funnel lead milestones matched to the originating Google click, and reads only the records changed since the last run, with GCLID and hashed-email matching in the debugger.
What ships with this use case.
Lead-value bidding fed by the stages your pipeline actually reaches on every run, as Signals reads your Cassandra tables and reads only the records changed since the last run.
Lead-value signals matched to the paid click from your Cassandra tables, with read load on the database steady because Signals reads only the records changed since the last run.
A per-run match report from Google Ads' Enhanced Conversions API on GCLID and hashed-email matching, straight out of your Cassandra tables.
What EC for Leads actually receives.
- ● signals :: event payload
- > POST /conversion_action source=apache-cassandra.lead_pipeline
- gclid "Cj0KCQjw…" · conversion_action "sql_reached"
- conversion_value 2 · currency USD
- hashed_email sha256 "9c41af…"
- ✓ accepted match=gclid+hashed_email
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How often does the Apache Cassandra Google EC for Leads sync run?
You set the cadence, from near-real-time to a nightly Apache Cassandra sync of your Cassandra 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 platform teams running Cassandra watch GCLID and hashed-email matching. One scoped connection sets it up, cadence adjustable later.
What match rate should a Apache Cassandra-sourced Google EC for Leads batch expect?
In Apache Cassandra, match rate tracks the email and phone quality your Cassandra tables carry. Clean identifiers land for Google Ads; blank ones never will. The first Enhanced Conversions API report shows platform teams running Cassandra where GCLID and hashed-email matching needs work, a data-quality task handled in Apache Cassandra.
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