CONNECTIONS / Microsoft Excel / Microsoft Excel to Meta Custom Audience
Your Excel workbook rows, wired to Meta lookalike and suppression seeds.
Signals reads your Excel workbook rows through read-only access to the Excel workbook you name, then keeps Meta audiences synced as adds and removals so lists never drift so Meta sees match-ready audiences without an export.
- ● microsoft excel → meta.audience :: live
- > read segments rows=65,124
- hash sha256(email,phone) consent=filtered
- route meta deliver
- ✓ delivered · 55,355 matched
WHAT THIS ENABLES
Microsoft Excel to Meta Custom Audience
Microsoft Excel to Meta Custom Audience: your Excel workbook rows, 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.
- Signals keeps Meta audiences synced as adds and removals so lists never drift, reading your Excel workbook rows each time a new file lands.
- Always-current lookalike seeds and exclusions, with no export step out of your Excel workbook rows.
WHAT FLOWS WHERE
Microsoft Excel to Custom Audience, mapped.
Signals picks up the customer segments from your Excel workbook rows; Signals hashes and consent-screens each record before Meta's Custom Audiences API accepts the match-ready audiences for audience refresh cadence.
Signals picks up the customer segments from your Excel workbook rows; Signals hashes and consent-screens each record before Meta's Custom Audiences API accepts the match-ready audiences for audience refresh cadence.
Built for the teams that own the number.
Finance and ops teams working in Excel who need lookalike seeds and suppression lists that track your live customer base out of Excel workbook rows.
From kickoff to verified events.
-
Connect
Read-only access to the Excel workbook you name, mapped to Meta's Custom Audiences API and tuned for audience refresh cadence.
-
Map
Columns from your Excel workbook rows align to Meta's Custom Audiences API in the visual mapper, hashed as the file lands and checked for audience refresh cadence.
-
Deliver
Each time a new file lands, Signals reads your Excel workbook rows and keeps Meta audiences synced as adds and removals so lists never drift, processes only the newly dropped file, 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 Excel workbook rows, delivered each time a new file lands.
Always-current lookalike seeds and exclusions out of your Excel workbook rows, delivered each time a new file lands without transfer overhead climbing.
Match feedback on audience refresh cadence from Meta's Custom Audiences API each run, tied back to your Excel workbook rows.
What Custom Audience actually receives.
- ● signals :: audience upload
- > POST /customaudiences source=microsoft-excel.segments
- schema ["EMAIL_SHA256","PHONE_SHA256"]
- num_received 65,124 · num_invalid_entries -30
- audience_id "1674950" · session "upsert"
- ✓ accepted match=85%
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How often does the Microsoft Excel Meta Custom Audience sync run?
You set the cadence, from near-real-time to a nightly Microsoft Excel sync of your Excel workbook rows into Meta. Since Signals processes only the newly dropped file, lookalike seeds and suppression lists that track your live customer base keeps pace and finance and ops teams working in Excel watch audience refresh cadence. One scoped connection sets it up, cadence adjustable later.
What match rate should a Microsoft Excel-sourced Meta Custom Audience batch expect?
Match rate follows identifier coverage in your Excel workbook rows, which finance and ops teams working in Excel control, not Microsoft Excel itself. A record with a current hashed email or phone matches for Meta; one missing both cannot. First-run feedback from Custom Audiences API pinpoints audience refresh cadence, the number finance and ops teams working in Excel tune against.
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