CONNECTIONS / MySQL / MySQL to Snap Offline CAPI
From MySQL tables to Snapchat in-store conversions.
Signals reads your MySQL tables through a read-only database user scoped to the MySQL tables you name, then reports in-store purchases against the Snapchat campaigns that reached the buyer so Snapchat sees offline conversions without an export.
- ● mysql → snap.capi :: live
- > read closed_deals rows=42,799
- hash sha256(email,phone) consent=filtered
- route snap deliver
- ✓ delivered · 35,095 matched
WHAT THIS ENABLES
MySQL to Snapchat Offline CAPI
MySQL to Snapchat Offline CAPI: Signals reads your MySQL tables and reports in-store purchases against the Snapchat campaigns that reached the buyer, hashed and consent-checked each time the read runs.
- Signals reports in-store purchases against the Snapchat campaigns that reached the buyer, reading your MySQL tables each time the read runs.
- In-person conversions Snapchat can bid on, with no export step out of your MySQL tables.
The click, the conversion, and the credit.
The conversion happens off Snap, away from any pixel. Here is how MySQL closes the loop.
Built for the teams that own the number.
Application teams on MySQL who need physical-world sales counted inside Snapchat performance out of MySQL tables.
From kickoff to verified events.
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Connect
A read-only database user scoped to the MySQL tables you name, mapped to Snapchat's Conversions API and tuned for offline event timing.
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Map
Columns from your MySQL tables align to Snapchat's Conversions API in the visual mapper, hashed as the read runs and checked for offline event timing.
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Deliver
Each time the read runs, Signals reads your MySQL tables and reports in-store purchases against the Snapchat campaigns that reached the buyer, reads only the records changed since the last run, with offline event timing 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 CAPI 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 MySQL records the event. |
What Offline CAPI actually receives.
- ● signals :: event payload
- > POST /v2/conversion source=mysql.closed_deals
- event_type "PURCHASE" · event_conversion_type "OFFLINE"
- hashed_email "5d8b22…" · hashed_phone_number "a179fe…"
- timestamp 1784511332 · price 16616 · currency AED
- ✓ accepted · match=true
Adjacent moves on the same stack.
from MySQL
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MySQL to Google Store Sales
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ActiveCampaign to Snap Offline CAPI
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Snap Offline CAPI
Deliver offline conversions to Snap on a schedule that fits your operations.
Learn moreAsked on almost every call.
How often does the MySQL Snap Offline CAPI sync run?
Delivery tracks MySQL, run by application teams on MySQL: a near-real-time or scheduled sync of your MySQL tables feeds Snapchat on that cadence. Each run reads only the records changed since the last run, so in-person conversions Snapchat can bid on holds up on offline event timing. The live debugger confirms every delivery inline.
What match rate should a MySQL-sourced Snap Offline CAPI 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 Snapchat; neither, and it will not. First-run feedback flags offline event timing, which application teams on MySQL then raise inside your MySQL tables.
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