CONNECTIONS / Cloudian / Cloudian to Meta Custom Audience
Cloudian objects into Meta, built for Meta lookalike and suppression seeds.
Connect Cloudian and point Signals at your Cloudian 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.
- ● cloudian → meta.audience :: live
- > read segments rows=48,710
- hash sha256(email,phone) consent=filtered
- route meta deliver
- ✓ delivered · 40,916 matched
WHAT THIS ENABLES
Cloudian to Meta Custom Audience
Cloudian to Meta Custom Audience: your Cloudian 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 Cloudian 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 Cloudian objects by enterprises running Cloudian object storage.
WHAT FLOWS WHERE
Cloudian to Custom Audience, mapped.
Signals reads the customer segments from your Cloudian objects each time a new file lands, hashes and screens each record, and posts the match-ready audiences to Meta's Custom Audiences API, keeping audience refresh cadence in view.
Signals reads the customer segments from your Cloudian objects each time a new file lands, hashes and screens each record, and posts the match-ready audiences to Meta's Custom Audiences API, keeping audience refresh cadence in view.
Built for the teams that own the number.
Enterprises running Cloudian object storage activating Meta lookalike and suppression seeds straight from Cloudian objects.
From kickoff to verified events.
-
Connect
A read-only S3 key scoped to the Cloudian bucket you name to feed Meta's Custom Audiences API, sized for audience refresh cadence.
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Map
Signals picks up your Cloudian 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 Cloudian 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 Cloudian objects and processes only the newly dropped file.
Always-current lookalike seeds and exclusions from your Cloudian 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 Cloudian objects.
What Custom Audience actually receives.
- ● signals :: audience upload
- > POST /customaudiences source=cloudian.segments
- schema ["EMAIL_SHA256","PHONE_SHA256"]
- num_received 48,710 · num_invalid_entries -311
- audience_id "1667883" · session "upsert"
- ✓ accepted match=84%
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How often does the Cloudian Meta Custom Audience sync run?
You set the cadence, from near-real-time to a nightly Cloudian sync of your Cloudian objects into Meta. Since Signals processes only the newly dropped file, lookalike seeds and suppression lists that track your live customer base keeps pace and enterprises running Cloudian object storage watch audience refresh cadence. One scoped connection sets it up, cadence adjustable later.
What match rate should a Cloudian-sourced Meta Custom Audience batch expect?
In Cloudian, match rate tracks the email and phone quality your Cloudian objects carry. Clean identifiers land for Meta; blank ones never will. The first Custom Audiences API report shows enterprises running Cloudian object storage where audience refresh cadence needs work, a data-quality task handled in Cloudian.
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