CONNECTIONS / Datahash API / Datahash API to TikTok CRM
Post qualified-lead and pipeline signals to the Datahash API, wired to TikTok CRM lead optimization.
Send qualified-lead and pipeline signals to one documented REST endpoint from any backend, in any language; Signals reports pipeline-stage changes to TikTok as distinct optimizable events, hashed and consent-checked, with no pixel and no warehouse read.
- ● datahash-api → tiktok.crm :: live
- > POST /v1/events source=api.lead_events count=15,121
- hash sha256(email,phone) consent=filtered
- route tiktok deliver
- ✓ 202 accepted · 12,097 forwarded
WHAT THIS ENABLES
Datahash API to TikTok CRM Integration
Datahash API to TikTok CRM Integration: post your qualified-lead and pipeline signals to one REST endpoint and Signals reports pipeline-stage changes to TikTok as distinct optimizable events, hashed and consent-checked server-side before TikTok sees it.
- Signals reports pipeline-stage changes to TikTok as distinct optimizable events, from events your backend posts server-side.
- TikTok bidding on the funnel depth your revenue reporting reads, without a pixel, a connector, or a nightly export.
WHAT FLOWS WHERE
Datahash API to CRM Integration, mapped.
Your backend posts each event to the Datahash API, which hashes and consent-screens it server-side, then TikTok's CRM Events API records the lead conversions for stage-to-event mapping.
Your backend posts each event to the Datahash API, which hashes and consent-screens it server-side, then TikTok's CRM Events API records the lead conversions for stage-to-event mapping.
Built for the teams that own the number.
Backend and platform teams driving TikTok CRM lead optimization by sending qualified-lead and pipeline signals straight from their own stack.
From kickoff to verified events.
-
Connect
Create an API key in the Signals console and point your backend at the endpoint that feeds TikTok's CRM Events API.
-
Map
Map your event payload to TikTok's CRM Events API fields once; per-request validation flags bad events instead of dropping the batch.
-
Deliver
Post events as they happen and Signals reports pipeline-stage changes to TikTok as distinct optimizable events, hashing server-side, with stage-to-event mapping shown in the debugger.
What ships with this use case.
TikTok bidding on the funnel depth your revenue reporting reads from a single server-side call.
Funnel-depth events TikTok can optimize on, with identifiers hashed at ingestion or sent pre-hashed.
Per-event status and match feedback on stage-to-event mapping from TikTok's CRM Events API, returned inline in the live debugger.
What CRM Integration actually receives.
- ● signals :: event payload
- > POST /event/track source=api.lead_events
- event "Contact" · event_time 1784189393
- user.email sha256 "8f21ce…" · user.phone sha256 "019d7a…"
- properties.lead_status "Qualified"
- ✓ accepted · dedupe=event_id
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Which backends can send to TikTok CRM through the Datahash API?
Any backend that can make an HTTPS request. You POST qualified-lead and pipeline signals as JSON to one documented endpoint and Signals forwards the lead conversions to TikTok's CRM Events API; identifiers are hashed at ingestion or sent pre-hashed, and TikTok lead-gen advertisers tracking qualification, not form counts track stage-to-event mapping in the debugger.
How fresh are TikTok CRM events sent over the API?
As fresh as you post them. The API accepts events in near real time, so TikTok bidding on the funnel depth your revenue reporting reads reaches TikTok moments after your backend fires the call, with per-event status returned inline. There is no batch window and no scheduled read, which keeps stage-to-event mapping current for the teams driving TikTok CRM lead optimization.
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