CONNECTIONS / Clickhouse / ClickHouse to Meta Custom Audience
From ClickHouse tables to Meta lookalike and suppression seeds.
Signals reads your ClickHouse tables through a read-only database user scoped to the ClickHouse tables you name, then keeps Meta audiences synced as adds and removals so lists never drift so Meta sees match-ready audiences without an export.
- ● clickhouse → meta.audience :: live
- > read segments rows=58,256
- hash sha256(email,phone) consent=filtered
- route meta deliver
- ✓ delivered · 43,692 matched
WHAT THIS ENABLES
ClickHouse to Meta Custom Audience
Meta Custom Audience for ClickHouse: Signals keeps Meta audiences synced as adds and removals so lists never drift straight from your ClickHouse tables, hashed and consent-screened each time the read runs.
- Signals keeps Meta audiences synced as adds and removals so lists never drift, reading your ClickHouse tables each time the read runs.
- Always-current lookalike seeds and exclusions, with no export step out of your ClickHouse tables.
WHAT FLOWS WHERE
Clickhouse to Custom Audience, mapped.
Each sync hands the customer segments from your ClickHouse tables to Signals, which hashes and filters every record, then Meta's Custom Audiences API logs the match-ready audiences for audience refresh cadence.
Each sync hands the customer segments from your ClickHouse tables to Signals, which hashes and filters every record, then Meta's Custom Audiences API logs the match-ready audiences for audience refresh cadence.
Built for the teams that own the number.
Analytics engineers on ClickHouse who need lookalike seeds and suppression lists that track your live customer base out of ClickHouse tables.
From kickoff to verified events.
-
Connect
A read-only database user scoped to the ClickHouse tables you name, mapped to Meta's Custom Audiences API and tuned for audience refresh cadence.
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Map
Columns from your ClickHouse tables align to Meta's Custom Audiences API in the visual mapper, hashed as the read runs and checked for audience refresh cadence.
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Deliver
Each time the read runs, Signals reads your ClickHouse tables and keeps Meta audiences synced as adds and removals so lists never drift, reads only the records changed since the last run, with audience refresh cadence watched in the debugger.
What ships with this use case.
Lookalike seeds and suppression lists that track your live customer base from your ClickHouse tables, delivered each time the read runs.
Always-current lookalike seeds and exclusions out of your ClickHouse tables, delivered each time the read runs without read load on the database climbing.
Match feedback on audience refresh cadence from Meta's Custom Audiences API each run, tied back to your ClickHouse tables.
What Custom Audience actually receives.
- ● signals :: audience upload
- > POST /customaudiences source=clickhouse.segments
- schema ["EMAIL_SHA256","PHONE_SHA256"]
- num_received 58,256 · num_invalid_entries -169
- audience_id "1668254" · session "upsert"
- ✓ accepted match=75%
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How often does the ClickHouse Meta Custom Audience sync run?
The pace follows your ClickHouse tables: Signals sends changes from ClickHouse to Meta each time the read runs. Because it reads only the records changed since the last run, lookalike seeds and suppression lists that track your live customer base stays current while analytics engineers on ClickHouse keep audience refresh cadence in view. Delivery needs no export and no manual upload.
What match rate should a ClickHouse-sourced Meta Custom Audience batch expect?
In ClickHouse, match rate tracks the email and phone quality your ClickHouse tables carry. Clean identifiers land for Meta; blank ones never will. The first Custom Audiences API report shows analytics engineers on ClickHouse where audience refresh cadence needs work, a data-quality task handled in ClickHouse.
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