CONNECTIONS / MySQL / MySQL to TikTok CRM
From MySQL tables to TikTok CRM lead optimization.
Signals reads your MySQL tables through a read-only database user scoped to the MySQL tables you name, then reports pipeline-stage changes to TikTok as distinct optimizable events so TikTok sees lead conversions without an export.
- ● mysql → tiktok.crm :: live
- > read lead_pipeline rows=62,231
- hash sha256(email,phone) consent=filtered
- route tiktok deliver
- ✓ delivered · 54,141 matched
WHAT THIS ENABLES
MySQL to TikTok CRM Integration
MySQL to TikTok CRM Integration: Signals reads your MySQL tables and reports pipeline-stage changes to TikTok as distinct optimizable events, hashed and consent-checked each time the read runs.
- Signals reports pipeline-stage changes to TikTok as distinct optimizable events, reading your MySQL tables each time the read runs.
- Funnel-depth events TikTok can optimize on, with no export step out of your MySQL tables.
WHAT FLOWS WHERE
MySQL to CRM Integration, mapped.
Signals reads the qualified-lead and pipeline signals from your MySQL tables each time the read runs, hashes and screens each record, and posts the lead conversions to TikTok's CRM Events API, keeping stage-to-event mapping in view.
Signals reads the qualified-lead and pipeline signals from your MySQL tables each time the read runs, hashes and screens each record, and posts the lead conversions to TikTok's CRM Events API, keeping stage-to-event mapping in view.
Built for the teams that own the number.
Application teams on MySQL who need TikTok bidding on the funnel depth your revenue reporting reads out of MySQL tables.
From kickoff to verified events.
-
Connect
A read-only database user scoped to the MySQL tables you name, mapped to TikTok's CRM Events API and tuned for stage-to-event mapping.
-
Map
Columns from your MySQL tables align to TikTok's CRM Events API in the visual mapper, hashed as the read runs and checked for stage-to-event mapping.
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Deliver
Each time the read runs, Signals reads your MySQL tables and reports pipeline-stage changes to TikTok as distinct optimizable events, reads only the records changed since the last run, with stage-to-event mapping watched in the debugger.
What ships with this use case.
TikTok bidding on the funnel depth your revenue reporting reads from your MySQL tables, delivered each time the read runs.
Funnel-depth events TikTok can optimize on out of your MySQL tables, delivered each time the read runs without read load on the database climbing.
Match feedback on stage-to-event mapping from TikTok's CRM Events API each run, tied back to your MySQL tables.
What CRM Integration actually receives.
- ● signals :: event payload
- > POST /event/track source=mysql.lead_pipeline
- event "Contact" · event_time 1784054526
- user.email sha256 "8f21ce…" · user.phone sha256 "019d7a…"
- properties.lead_status "Qualified"
- ✓ accepted · dedupe=event_id
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How often does the MySQL TikTok CRM sync run?
Delivery tracks MySQL, run by application teams on MySQL: a near-real-time or scheduled sync of your MySQL tables feeds TikTok on that cadence. Each run reads only the records changed since the last run, so funnel-depth events TikTok can optimize on holds up on stage-to-event mapping. The live debugger confirms every delivery inline.
What match rate should a MySQL-sourced TikTok CRM batch expect?
Coverage of hashed identifiers across your MySQL tables decides it, and application teams on MySQL own that inside MySQL. A live email or phone matches into TikTok; neither, and it will not. First-run feedback flags stage-to-event mapping, which application teams on MySQL then raise inside your MySQL tables.
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