CONNECTIONS / IBM DB2 / IBM DB2 to TikTok Offline eAPI
Db2 tables into TikTok, built for TikTok's Offline Events API.
Connect IBM DB2 and point Signals at your Db2 tables; it sends register and phone sales so offline joins TikTok's web optimization each time the read runs, hashed and consent-checked for TikTok.
- ● ibm db2 → tiktok.eapi :: live
- > read closed_deals rows=53,436
- hash sha256(email,phone) consent=filtered
- route tiktok deliver
- ✓ delivered · 46,489 matched
WHAT THIS ENABLES
IBM DB2 to TikTok Offline Events API
TikTok Offline Events API for IBM DB2: Signals sends register and phone sales so offline joins TikTok's web optimization straight from your Db2 tables, hashed and consent-screened each time the read runs.
- Offline and in-store sales from your Db2 tables activated for TikTok, as Signals sends register and phone sales so offline joins TikTok's web optimization.
- Counter sales deduped against any TikTok web event for the same buyer, drawn from your Db2 tables by enterprise data teams on IBM DB2.
The click, the conversion, and the credit.
The conversion happens off TikTok, away from any pixel. Here is how IBM DB2 closes the loop.
Built for the teams that own the number.
Enterprise data teams on IBM DB2 activating TikTok's Offline Events API straight from Db2 tables.
From kickoff to verified events.
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Connect
A read-only database user scoped to the Db2 tables you name to feed TikTok's Offline Events API, sized for web-to-offline deduplication.
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Map
A scheduled read pulls your Db2 tables, and its columns map to TikTok's Offline Events API in the visual mapper, hashed and checked for web-to-offline deduplication.
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Deliver
On each run, Signals pulls your Db2 tables, sends register and phone sales so offline joins TikTok's web optimization, and reads only the records changed since the last run, with web-to-offline deduplication 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 IBM DB2 records the event. |
What Offline eAPI actually receives.
- ● signals :: event payload
- > POST /event/track source=ibm-db2.closed_deals
- event "CompletePayment" · event_time 1784575261
- user.email sha256 "c02fa8…" · user.phone sha256 "6b91dd…"
- properties.value 46007 · properties.currency USD
- ✓ accepted · dedupe=event_id
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How often does the IBM DB2 TikTok Offline eAPI sync run?
The pace follows your Db2 tables: Signals sends changes from IBM DB2 to TikTok each time the read runs. Because it reads only the records changed since the last run, counter sales deduped against any TikTok web event for the same buyer stays current while enterprise data teams on IBM DB2 keep web-to-offline deduplication in view. Delivery needs no export and no manual upload.
What match rate should a IBM DB2-sourced TikTok Offline eAPI batch expect?
Coverage of hashed identifiers across your Db2 tables decides it, and enterprise data teams on IBM DB2 own that inside IBM DB2. A live email or phone matches into TikTok; neither, and it will not. First-run feedback flags web-to-offline deduplication, which enterprise data teams on IBM DB2 then raise inside your Db2 tables.
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