CONNECTIONS / AWS S3 / AWS S3 to Meta Offline CAPI
S3 exports into Meta, built for Meta's offline optimization.
Signals reads your S3 exports through a read-only IAM key scoped to the one S3 bucket you name, then credits dealer, branch, and phone sales to the Meta campaigns behind them so Meta sees offline conversions without an export.
- ● aws s3 → meta.capi :: live
- > read closed_deals rows=31,235
- hash sha256(email,phone) consent=filtered
- route meta deliver
- ✓ delivered · 25,925 matched
WHAT THIS ENABLES
AWS S3 to Meta Offline CAPI
Meta Offline CAPI for AWS S3: Signals credits dealer, branch, and phone sales to the Meta campaigns behind them straight from your S3 exports, hashed and consent-screened each time a new file lands.
- Signals credits dealer, branch, and phone sales to the Meta campaigns behind them, reading your S3 exports each time a new file lands.
- Campaign learning fed by real-world purchases, with no export step out of your S3 exports.
The click, the conversion, and the credit.
The conversion happens off Meta, away from any pixel. Here is how AWS S3 closes the loop.
Built for the teams that own the number.
Data teams landing exports in S3 who need in-store and phone revenue joining Meta's optimization loop out of S3 exports.
From kickoff to verified events.
-
Connect
A read-only IAM key scoped to the one S3 bucket you name, mapped to Meta's Offline Conversions API and tuned for Meta's 62-day event window.
-
Map
Columns from your S3 exports align to Meta's Offline Conversions API in the visual mapper, hashed as the file lands and checked for Meta's 62-day event window.
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Deliver
Each time a new file lands, Signals reads your S3 exports and credits dealer, branch, and phone sales to the Meta campaigns behind them, processes only the newly dropped file, 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 AWS S3 records the event. |
What Offline CAPI actually receives.
- ● signals :: event payload
- > POST /offline_conversions source=aws-s3.closed_deals
- event_name "Purchase" · event_time 2026-07-21T10:55:33
- value 47704.00 · currency USD
- em sha256 "1fa603…" · ph sha256 "eb2201…" · external_id "txn-46333"
- ✓ accepted match=83%
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How often does the AWS S3 Meta Offline CAPI sync run?
You set the cadence, from near-real-time to a nightly AWS S3 sync of your S3 exports into Meta. Since Signals processes only the newly dropped file, in-store and phone revenue joining Meta's optimization loop keeps pace and data teams landing exports in S3 watch Meta's 62-day event window. One scoped connection sets it up, cadence adjustable later.
What match rate should a AWS S3-sourced Meta Offline CAPI batch expect?
Match rate follows identifier coverage in your S3 exports, which data teams landing exports in S3 control, not AWS S3 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 landing exports in S3 tune against.
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