CONNECTIONS / Backblaze B2 / Backblaze B2 to Meta Custom Audience
From Backblaze B2 files to Meta lookalike and suppression seeds.
Connect Backblaze B2 and point Signals at your Backblaze B2 files; 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.
- ● backblaze b2 → meta.audience :: live
- > read segments rows=48,551
- hash sha256(email,phone) consent=filtered
- route meta deliver
- ✓ delivered · 43,696 matched
WHAT THIS ENABLES
Backblaze B2 to Meta Custom Audience
Backblaze B2 to Meta Custom Audience: your Backblaze B2 files, 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 Backblaze B2 files 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 Backblaze B2 files by teams archiving exports to Backblaze B2.
WHAT FLOWS WHERE
Backblaze B2 to Custom Audience, mapped.
Signals reads the customer segments from your Backblaze B2 files 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 Backblaze B2 files 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.
Teams archiving exports to Backblaze B2 activating Meta lookalike and suppression seeds straight from Backblaze B2 files.
From kickoff to verified events.
-
Connect
A read-only application key scoped to the Backblaze B2 bucket you name to feed Meta's Custom Audiences API, sized for audience refresh cadence.
-
Map
Signals picks up your Backblaze B2 files, 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 Backblaze B2 files, 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 Backblaze B2 files and processes only the newly dropped file.
Always-current lookalike seeds and exclusions from your Backblaze B2 files, 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 Backblaze B2 files.
What Custom Audience actually receives.
- ● signals :: audience upload
- > POST /customaudiences source=backblaze.segments
- schema ["EMAIL_SHA256","PHONE_SHA256"]
- num_received 48,551 · num_invalid_entries -215
- audience_id "1666491" · session "upsert"
- ✓ accepted match=90%
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How often does the Backblaze B2 Meta Custom Audience sync run?
The pace follows your Backblaze B2 files: Signals sends changes from Backblaze B2 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 teams archiving exports to Backblaze B2 keep audience refresh cadence in view. Delivery needs no export and no manual upload.
What match rate should a Backblaze B2-sourced Meta Custom Audience batch expect?
Coverage of hashed identifiers across your Backblaze B2 files decides it, and teams archiving exports to Backblaze B2 own that inside Backblaze B2. A live email or phone matches into Meta; neither, and it will not. First-run feedback flags audience refresh cadence, which teams archiving exports to Backblaze B2 then raise inside your Backblaze B2 files.
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