CONNECTIONS / Microsoft SQL Server / SQL Server to Meta Offline CAPI
Your SQL Server tables, wired to Meta's offline optimization.
Connect SQL Server and point Signals at your SQL Server tables; it credits dealer, branch, and phone sales to the Meta campaigns behind them each time the read runs, hashed and consent-checked for Meta.
- ● sql server → meta.capi :: live
- > read closed_deals rows=25,730
- hash sha256(email,phone) consent=filtered
- route meta deliver
- ✓ delivered · 22,128 matched
WHAT THIS ENABLES
SQL Server to Meta Offline CAPI
SQL Server to Meta Offline CAPI: Signals reads your SQL Server tables and credits dealer, branch, and phone sales to the Meta campaigns behind them, hashed and consent-checked each time the read runs.
- Offline and in-store sales from your SQL Server tables activated for Meta, as Signals credits dealer, branch, and phone sales to the Meta campaigns behind them.
- In-store and phone revenue joining Meta's optimization loop, drawn from your SQL Server tables by data teams running SQL Server.
The click, the conversion, and the credit.
The conversion happens off Meta, away from any pixel. Here is how Microsoft SQL Server closes the loop.
Built for the teams that own the number.
Data teams running SQL Server activating Meta's offline optimization straight from SQL Server tables.
From kickoff to verified events.
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Connect
A read-only database user scoped to the SQL Server tables you name to feed Meta's Offline Conversions API, sized for Meta's 62-day event window.
-
Map
A scheduled read pulls your SQL Server tables, and its columns map to Meta's Offline Conversions API in the visual mapper, hashed and checked for Meta's 62-day event window.
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Deliver
On each run, Signals pulls your SQL Server tables, credits dealer, branch, and phone sales to the Meta campaigns behind them, and reads only the records changed since the last run, with Meta's 62-day event window in the debugger.
What changes when the CSV goes away.
| Capability | Manual CSV upload | Datahash |
|---|---|---|
| Reporting | Offline sales sit in a separate export, reconciled by hand. | Revenue counted in the same Offline CAPI reporting as web conversions. |
| Deduplication | A re-uploaded file risks counting the same conversion twice. | Deduped delivery, so a resent record never counts as a second conversion. |
| Match visibility | Match quality is a guess until the numbers look off. | Match rate reported per upload, tied to the source event set that produced it. |
| Effort and latency | An analyst exports and uploads on a manual cadence. | Server-side and automatic the moment Microsoft SQL Server records the event. |
What Offline CAPI actually receives.
- ● signals :: event payload
- > POST /offline_conversions source=microsoft-sql-server.closed_deals
- event_name "Purchase" · event_time 2026-07-19T01:46:36
- value 41399.00 · currency AED
- em sha256 "1fa603…" · ph sha256 "eb2201…" · external_id "txn-50596"
- ✓ accepted match=86%
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How often does the SQL Server Meta Offline CAPI sync run?
Delivery tracks SQL Server, run by data teams running SQL Server: a near-real-time or scheduled sync of your SQL Server tables feeds Meta on that cadence. Each run reads only the records changed since the last run, so campaign learning fed by real-world purchases holds up on Meta's 62-day event window. The live debugger confirms every delivery inline.
What match rate should a SQL Server-sourced Meta Offline CAPI batch expect?
Match rate follows identifier coverage in your SQL Server tables, which data teams running SQL Server control, not SQL Server itself. A record with a current hashed email or phone matches for Meta; one missing both cannot. First-run feedback from Offline Conversions API pinpoints Meta's 62-day event window, the number data teams running SQL Server tune against.
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