CONNECTIONS / Oracle / Oracle to TikTok Offline eAPI
From Oracle tables to TikTok's Offline Events API.
Signals reads your Oracle tables through a read-only database user scoped to the Oracle tables you name, then sends register and phone sales so offline joins TikTok's web optimization so TikTok sees offline conversions without an export.
- ● oracle → tiktok.eapi :: live
- > read closed_deals rows=40,038
- hash sha256(email,phone) consent=filtered
- route tiktok deliver
- ✓ delivered · 33,632 matched
WHAT THIS ENABLES
Oracle to TikTok Offline Events API
TikTok Offline Events API for Oracle: Signals sends register and phone sales so offline joins TikTok's web optimization straight from your Oracle tables, hashed and consent-screened each time the read runs.
- Signals sends register and phone sales so offline joins TikTok's web optimization, reading your Oracle tables each time the read runs.
- A unified web-and-offline conversion view, with no export step out of your Oracle tables.
The click, the conversion, and the credit.
The conversion happens off TikTok, away from any pixel. Here is how Oracle closes the loop.
Built for the teams that own the number.
Enterprise data teams on Oracle who need counter sales deduped against any TikTok web event for the same buyer out of Oracle tables.
From kickoff to verified events.
-
Connect
A read-only database user scoped to the Oracle tables you name, mapped to TikTok's Offline Events API and tuned for web-to-offline deduplication.
-
Map
Columns from your Oracle tables align to TikTok's Offline Events API in the visual mapper, hashed as the read runs and checked for web-to-offline deduplication.
-
Deliver
Each time the read runs, Signals reads your Oracle tables and sends register and phone sales so offline joins TikTok's web optimization, reads only the records changed since the last run, with web-to-offline deduplication 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 eAPI 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 Oracle records the event. |
What Offline eAPI actually receives.
- ● signals :: event payload
- > POST /event/track source=oracle.closed_deals
- event "CompletePayment" · event_time 1784514946
- user.email sha256 "c02fa8…" · user.phone sha256 "6b91dd…"
- properties.value 34256 · properties.currency GBP
- ✓ accepted · dedupe=event_id
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How often does the Oracle TikTok Offline eAPI sync run?
You set the cadence, from near-real-time to a nightly Oracle sync of your Oracle tables into TikTok. Since Signals reads only the records changed since the last run, counter sales deduped against any TikTok web event for the same buyer keeps pace and enterprise data teams on Oracle watch web-to-offline deduplication. One scoped connection sets it up, cadence adjustable later.
What match rate should a Oracle-sourced TikTok Offline eAPI batch expect?
Match rate follows identifier coverage in your Oracle tables, which enterprise data teams on Oracle control, not Oracle itself. A record with a current hashed email or phone matches for TikTok; one missing both cannot. First-run feedback from Offline Events API pinpoints web-to-offline deduplication, the number enterprise data teams on Oracle tune against.
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