CONNECTIONS / Oracle / Oracle to Snap Custom Audience
From Oracle tables to Snapchat audience matching.
Signals reads your Oracle tables through a read-only database user scoped to the Oracle tables you name, then matches your segments into Snapchat for targeting and customer suppression so Snapchat sees match-ready audiences without an export.
- ● oracle → snap.audience :: live
- > read segments rows=62,380
- hash sha256(email,phone) consent=filtered
- route snap deliver
- ✓ delivered · 53,647 matched
WHAT THIS ENABLES
Oracle to Snapchat Custom Audience
Snapchat Custom Audience for Oracle: Signals matches your segments into Snapchat for targeting and customer suppression straight from your Oracle tables, hashed and consent-screened each time the read runs.
- Signals matches your segments into Snapchat for targeting and customer suppression, reading your Oracle tables each time the read runs.
- Audiences that rebuild as the segment does, with no export step out of your Oracle tables.
WHAT FLOWS WHERE
Oracle to Custom Audience, mapped.
Signals reads the customer segments from your Oracle tables each time the read runs, hashes and screens each record, and posts the match-ready audiences to Snapchat's Custom Audiences API, keeping list sizing on Snapchat in view.
Signals reads the customer segments from your Oracle tables each time the read runs, hashes and screens each record, and posts the match-ready audiences to Snapchat's Custom Audiences API, keeping list sizing on Snapchat in view.
Built for the teams that own the number.
Enterprise data teams on Oracle who need Snapchat audiences that stay in step as the segment rebuilds out of Oracle tables.
From kickoff to verified events.
-
Connect
A read-only database user scoped to the Oracle tables you name, mapped to Snapchat's Custom Audiences API and tuned for list sizing on Snapchat.
-
Map
Columns from your Oracle tables align to Snapchat's Custom Audiences API in the visual mapper, hashed as the read runs and checked for list sizing on Snapchat.
-
Deliver
Each time the read runs, Signals reads your Oracle tables and matches your segments into Snapchat for targeting and customer suppression, reads only the records changed since the last run, with list sizing on Snapchat watched in the debugger.
What ships with this use case.
Snapchat audiences that stay in step as the segment rebuilds from your Oracle tables, delivered each time the read runs.
Audiences that rebuild as the segment does out of your Oracle tables, delivered each time the read runs without read load on the database climbing.
Match feedback on list sizing on Snapchat from Snapchat's Custom Audiences API each run, tied back to your Oracle tables.
What Custom Audience actually receives.
- ● signals :: audience upload
- > POST /audience_match source=oracle.segments
- schema ["EMAIL_SHA256","PHONE_SHA256"]
- external_audience_id "aud_65021"
- id_list_size 62,380 · matched 53,647
- ✓ accepted match=86%
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How often does the Oracle Snap Custom Audience sync run?
You set the cadence, from near-real-time to a nightly Oracle sync of your Oracle tables into Snapchat. Since Signals reads only the records changed since the last run, Snapchat audiences that stay in step as the segment rebuilds keeps pace and enterprise data teams on Oracle watch list sizing on Snapchat. One scoped connection sets it up, cadence adjustable later.
What match rate should a Oracle-sourced Snap Custom Audience batch expect?
Match rate follows identifier coverage in your Oracle tables, which enterprise data teams on Oracle control, not Oracle itself. A record with a current hashed email or phone matches for Snapchat; one missing both cannot. First-run feedback from Custom Audiences API pinpoints list sizing on Snapchat, the number enterprise data teams on Oracle tune against.
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