CONNECTIONS / GCS / GCS to Meta Custom Audience
Your GCS objects, wired to Meta lookalike and suppression seeds.
Connect GCS and point Signals at your GCS objects; it keeps Meta audiences synced as adds and removals so lists never drift each time a new file lands, hashed and consent-checked for Meta.
- ● gcs → meta.audience :: live
- > read segments rows=19,534
- hash sha256(email,phone) consent=filtered
- route meta deliver
- ✓ delivered · 14,455 matched
WHAT THIS ENABLES
GCS to Meta Custom Audience
GCS to Meta Custom Audience: your GCS objects, hashed and consent-checked, feed Meta as Signals keeps Meta audiences synced as adds and removals so lists never drift each time a new file lands.
- Customer segments from your GCS objects activated for Meta, as Signals keeps Meta audiences synced as adds and removals so lists never drift.
- Lookalike seeds and suppression lists that track your live customer base, drawn from your GCS objects by data teams landing exports in GCS.
WHAT FLOWS WHERE
GCS to Custom Audience, mapped.
Each sync hands the customer segments from your GCS objects 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 GCS objects 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.
Data teams landing exports in GCS activating Meta lookalike and suppression seeds straight from GCS objects.
From kickoff to verified events.
-
Connect
A read-only service account scoped to the one GCS bucket you name to feed Meta's Custom Audiences API, sized for audience refresh cadence.
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Map
Signals picks up your GCS objects, and its columns map to Meta's Custom Audiences API in the visual mapper, hashed and checked for audience refresh cadence.
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Deliver
On each run, Signals pulls your GCS objects, keeps Meta audiences synced as adds and removals so lists never drift, and processes only the newly dropped file, with audience refresh cadence in the debugger.
What ships with this use case.
Lookalike seeds and suppression lists that track your live customer base on every run, as Signals reads your GCS objects and processes only the newly dropped file.
Always-current lookalike seeds and exclusions from your GCS objects, with transfer overhead steady because Signals processes only the newly dropped file.
A per-run match report from Meta's Custom Audiences API on audience refresh cadence, straight out of your GCS objects.
What Custom Audience actually receives.
- ● signals :: audience upload
- > POST /customaudiences source=google-cloud-storage.segments
- schema ["EMAIL_SHA256","PHONE_SHA256"]
- num_received 19,534 · num_invalid_entries 183
- audience_id "1679747" · session "upsert"
- ✓ accepted match=74%
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How often does the GCS Meta Custom Audience sync run?
The pace follows your GCS objects: Signals sends changes from GCS to Meta each time a new file lands. Because it processes only the newly dropped file, lookalike seeds and suppression lists that track your live customer base stays current while data teams landing exports in GCS keep audience refresh cadence in view. Delivery needs no export and no manual upload.
What match rate should a GCS-sourced Meta Custom Audience batch expect?
Coverage of hashed identifiers across your GCS objects decides it, and data teams landing exports in GCS own that inside GCS. A live email or phone matches into Meta; neither, and it will not. First-run feedback flags audience refresh cadence, which data teams landing exports in GCS then raise inside your GCS objects.
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