CONNECTIONS / File drops / File drops to Meta Custom Audience
Your file drops, wired to Meta lookalike and suppression seeds.
Connect File drops and point Signals at your file drops; 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.
- ● file drops → meta.audience :: live
- > read segments rows=38,319
- hash sha256(email,phone) consent=filtered
- route meta deliver
- ✓ delivered · 33,721 matched
WHAT THIS ENABLES
File drops to Meta Custom Audience
File drops to Meta Custom Audience: your file drops, 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 file drops 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 file drops by teams landing POS and back-office exports as files.
WHAT FLOWS WHERE
File drops to Custom Audience, mapped.
Signals reads the customer segments from your file drops 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 file drops 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 landing POS and back-office exports as files activating Meta lookalike and suppression seeds straight from file drops.
From kickoff to verified events.
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Connect
Read-only access to the SFTP, S3, or GCS drop you name to feed Meta's Custom Audiences API, sized for audience refresh cadence.
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Map
Signals picks up your file drops, 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 file drops, 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 file drops and processes only the newly dropped file.
Always-current lookalike seeds and exclusions from your file drops, 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 file drops.
What Custom Audience actually receives.
- ● signals :: audience upload
- > POST /customaudiences source=files.segments
- schema ["EMAIL_SHA256","PHONE_SHA256"]
- num_received 38,319 · num_invalid_entries -146
- audience_id "1695969" · session "upsert"
- ✓ accepted match=88%
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How often does the File drops Meta Custom Audience sync run?
You set the cadence, from near-real-time to a nightly File drops sync of your file drops into Meta. Since Signals processes only the newly dropped file, lookalike seeds and suppression lists that track your live customer base keeps pace and teams landing POS and back-office exports as files watch audience refresh cadence. One scoped connection sets it up, cadence adjustable later.
What match rate should a File drops-sourced Meta Custom Audience batch expect?
In File drops, match rate tracks the email and phone quality your file drops carry. Clean identifiers land for Meta; blank ones never will. The first Custom Audiences API report shows teams landing POS and back-office exports as files where audience refresh cadence needs work, a data-quality task handled in File drops.
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