CONNECTIONS / MongoDB / MongoDB to TikTok Offline eAPI
From MongoDB collections to TikTok's Offline Events API.
Signals reads your MongoDB collections through a read-only database user scoped to the MongoDB collections you name, then sends register and phone sales so offline joins TikTok's web optimization so TikTok sees offline conversions without an export.
- ● mongodb → tiktok.eapi :: live
- > read closed_deals rows=64,589
- hash sha256(email,phone) consent=filtered
- route tiktok deliver
- ✓ delivered · 55,547 matched
WHAT THIS ENABLES
MongoDB to TikTok Offline Events API
MongoDB to TikTok Offline Events API: Signals reads your MongoDB collections and sends register and phone sales so offline joins TikTok's web optimization, hashed and consent-checked each time the read runs.
- Signals sends register and phone sales so offline joins TikTok's web optimization, reading your MongoDB collections each time the read runs.
- A unified web-and-offline conversion view, with no export step out of your MongoDB collections.
The click, the conversion, and the credit.
The conversion happens off TikTok, away from any pixel. Here is how MongoDB closes the loop.
Built for the teams that own the number.
Application teams running MongoDB who need counter sales deduped against any TikTok web event for the same buyer out of MongoDB collections.
From kickoff to verified events.
-
Connect
A read-only database user scoped to the MongoDB collections you name, mapped to TikTok's Offline Events API and tuned for web-to-offline deduplication.
-
Map
Columns from your MongoDB collections 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 MongoDB collections 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 MongoDB records the event. |
What Offline eAPI actually receives.
- ● signals :: event payload
- > POST /event/track source=mongodb.closed_deals
- event "CompletePayment" · event_time 1784621940
- user.email sha256 "c02fa8…" · user.phone sha256 "6b91dd…"
- properties.value 17830 · properties.currency AED
- ✓ accepted · dedupe=event_id
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How often does the MongoDB TikTok Offline eAPI sync run?
The pace follows your MongoDB collections: Signals sends changes from MongoDB 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 application teams running MongoDB keep web-to-offline deduplication in view. Delivery needs no export and no manual upload.
What match rate should a MongoDB-sourced TikTok Offline eAPI batch expect?
In MongoDB, match rate tracks the email and phone quality your MongoDB collections carry. Clean identifiers land for TikTok; blank ones never will. The first Offline Events API report shows application teams running MongoDB where web-to-offline deduplication needs work, a data-quality task handled in MongoDB.
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