CONNECTIONS / IBM DB2 / IBM DB2 to Snap Custom Audience
Db2 tables into Snapchat, built for Snapchat audience matching.
Connect IBM DB2 and point Signals at your Db2 tables; it matches your segments into Snapchat for targeting and customer suppression each time the read runs, hashed and consent-checked for Snapchat.
- ● ibm db2 → snap.audience :: live
- > read segments rows=42,644
- hash sha256(email,phone) consent=filtered
- route snap deliver
- ✓ delivered · 37,100 matched
WHAT THIS ENABLES
IBM DB2 to Snapchat Custom Audience
Snapchat Custom Audience for IBM DB2: Signals matches your segments into Snapchat for targeting and customer suppression straight from your Db2 tables, hashed and consent-screened each time the read runs.
- Customer segments from your Db2 tables activated for Snapchat, as Signals matches your segments into Snapchat for targeting and customer suppression.
- Snapchat audiences that stay in step as the segment rebuilds, drawn from your Db2 tables by enterprise data teams on IBM DB2.
WHAT FLOWS WHERE
IBM DB2 to Custom Audience, mapped.
Signals reads the customer segments from your Db2 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 Db2 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 IBM DB2 activating Snapchat audience matching straight from Db2 tables.
From kickoff to verified events.
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Connect
A read-only database user scoped to the Db2 tables you name to feed Snapchat's Custom Audiences API, sized for list sizing on Snapchat.
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Map
A scheduled read pulls your Db2 tables, and its columns map to Snapchat's Custom Audiences API in the visual mapper, hashed and checked for list sizing on Snapchat.
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Deliver
On each run, Signals pulls your Db2 tables, matches your segments into Snapchat for targeting and customer suppression, and reads only the records changed since the last run, with list sizing on Snapchat in the debugger.
What ships with this use case.
Snapchat audiences that stay in step as the segment rebuilds on every run, as Signals reads your Db2 tables and reads only the records changed since the last run.
Audiences that rebuild as the segment does from your Db2 tables, with read load on the database steady because Signals reads only the records changed since the last run.
A per-run match report from Snapchat's Custom Audiences API on list sizing on Snapchat, straight out of your Db2 tables.
What Custom Audience actually receives.
- ● signals :: audience upload
- > POST /audience_match source=ibm-db2.segments
- schema ["EMAIL_SHA256","PHONE_SHA256"]
- external_audience_id "aud_82952"
- id_list_size 42,644 · matched 37,100
- ✓ accepted match=87%
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How often does the IBM DB2 Snap Custom Audience sync run?
The pace follows your Db2 tables: Signals sends changes from IBM DB2 to Snapchat each time the read runs. Because it reads only the records changed since the last run, Snapchat audiences that stay in step as the segment rebuilds stays current while enterprise data teams on IBM DB2 keep list sizing on Snapchat in view. Delivery needs no export and no manual upload.
What match rate should a IBM DB2-sourced Snap Custom Audience batch expect?
Coverage of hashed identifiers across your Db2 tables decides it, and enterprise data teams on IBM DB2 own that inside IBM DB2. A live email or phone matches into Snapchat; neither, and it will not. First-run feedback flags list sizing on Snapchat, which enterprise data teams on IBM DB2 then raise inside your Db2 tables.
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