CONNECTIONS / PostgreSQL / PostgreSQL to Meta Offline CAPI
Your PostgreSQL tables, wired to Meta's offline optimization.
Signals reads your PostgreSQL tables through a read-only database user scoped to the PostgreSQL tables you name, then credits dealer, branch, and phone sales to the Meta campaigns behind them so Meta sees offline conversions without an export.
- ● postgresql → meta.capi :: live
- > read closed_deals rows=52,294
- hash sha256(email,phone) consent=filtered
- route meta deliver
- ✓ delivered · 41,312 matched
WHAT THIS ENABLES
PostgreSQL to Meta Offline CAPI
Meta Offline CAPI for PostgreSQL: Signals credits dealer, branch, and phone sales to the Meta campaigns behind them straight from your PostgreSQL tables, hashed and consent-screened each time the read runs.
- Signals credits dealer, branch, and phone sales to the Meta campaigns behind them, reading your PostgreSQL tables each time the read runs.
- Campaign learning fed by real-world purchases, with no export step out of your PostgreSQL tables.
The click, the conversion, and the credit.
The conversion happens off Meta, away from any pixel. Here is how PostgreSQL closes the loop.
Built for the teams that own the number.
Engineering teams running PostgreSQL who need in-store and phone revenue joining Meta's optimization loop out of PostgreSQL tables.
From kickoff to verified events.
-
Connect
A read-only database user scoped to the PostgreSQL tables you name, mapped to Meta's Offline Conversions API and tuned for Meta's 62-day event window.
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Map
Columns from your PostgreSQL tables align to Meta's Offline Conversions API in the visual mapper, hashed as the read runs and checked for Meta's 62-day event window.
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Deliver
Each time the read runs, Signals reads your PostgreSQL tables and credits dealer, branch, and phone sales to the Meta campaigns behind them, reads only the records changed since the last run, with Meta's 62-day event window watched 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 PostgreSQL records the event. |
What Offline CAPI actually receives.
- ● signals :: event payload
- > POST /offline_conversions source=postgresql.closed_deals
- event_name "Purchase" · event_time 2026-07-17T04:51:05
- value 12183.00 · currency USD
- em sha256 "1fa603…" · ph sha256 "eb2201…" · external_id "txn-61865"
- ✓ accepted match=79%
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How often does the PostgreSQL Meta Offline CAPI sync run?
Delivery tracks PostgreSQL, run by engineering teams running PostgreSQL: a near-real-time or scheduled sync of your PostgreSQL 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 PostgreSQL-sourced Meta Offline CAPI batch expect?
Coverage of hashed identifiers across your PostgreSQL tables decides it, and engineering teams running PostgreSQL own that inside PostgreSQL. A live email or phone matches into Meta; neither, and it will not. First-run feedback flags Meta's 62-day event window, which engineering teams running PostgreSQL then raise inside your PostgreSQL tables.
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