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    CONNECTIONS / Apache Cassandra / Apache Cassandra to Snap Custom Audience

    From Cassandra tables to Snapchat audience matching.

    Connect Apache Cassandra and point Signals at your Cassandra tables; it matches your segments into Snapchat for targeting and customer suppression each time the read runs, hashed and consent-checked for Snapchat.

    Talk to our team Explore the setup

    apache-cassandra -> snap-custom-audience :: live

    1. ● apache cassandra → snap.audience :: live
    2. > read segments rows=14,926
    3. hash sha256(email,phone) consent=filtered
    4. route snap deliver
    5. ✓ delivered · 12,389 matched

    WHAT THIS ENABLES

    Apache Cassandra to Snapchat Custom Audience

    Apache Cassandra to Snapchat Custom Audience: Signals reads your Cassandra tables and matches your segments into Snapchat for targeting and customer suppression, hashed and consent-checked each time the read runs.

    • Customer segments from your Cassandra 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 Cassandra tables by platform teams running Cassandra.

    WHAT FLOWS WHERE

    Apache Cassandra to Custom Audience, mapped.

    A scheduled read pulls the customer segments from your Cassandra tables; Signals hashes and consent-screens each record before Snapchat's Custom Audiences API accepts the match-ready audiences for list sizing on Snapchat.

    A scheduled read pulls the customer segments from your Cassandra tables; Signals hashes and consent-screens each record before Snapchat's Custom Audiences API accepts the match-ready audiences for list sizing on Snapchat.

    WHO THIS IS FOR

    Built for the teams that own the number.

    Snapchat advertisers building lookalikes and excluding current buyers, with the records already in Cassandra tables and materialized views.

    Platform teams running Cassandra activating Snapchat audience matching straight from Cassandra tables.

    HOW DATAHASH SETS IT UP

    From kickoff to verified events.

    1. Connect

      A read-only database user scoped to the Cassandra tables you name to feed Snapchat's Custom Audiences API, sized for list sizing on Snapchat.

    2. Map

      A scheduled read pulls your Cassandra tables, and its columns map to Snapchat's Custom Audiences API in the visual mapper, hashed and checked for list sizing on Snapchat.

    3. Deliver

      On each run, Signals pulls your Cassandra 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 YOU GET

    What ships with this use case.

    Snapchat audiences that stay in step as the segment rebuilds on every run, as Signals reads your Cassandra tables and reads only the records changed since the last run.

    Audiences that rebuild as the segment does from your Cassandra 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 Cassandra tables.

    ON THE WIRE

    What Custom Audience actually receives.

    signals :: apache-cassandra.snap-custom-audience :: wire

    1. ● signals :: audience upload
    2. > POST /audience_match source=apache-cassandra.segments
    3. schema ["EMAIL_SHA256","PHONE_SHA256"]
    4. external_audience_id "aud_69796"
    5. id_list_size 14,926 · matched 12,389
    6. ✓ accepted match=83%
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    FAQ

    Asked on almost every call.

    How often does the Apache Cassandra Snap Custom Audience sync run?

    You set the cadence, from near-real-time to a nightly Apache Cassandra sync of your Cassandra 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 platform teams running Cassandra watch list sizing on Snapchat. One scoped connection sets it up, cadence adjustable later.

    What match rate should a Apache Cassandra-sourced Snap Custom Audience batch expect?

    In Apache Cassandra, match rate tracks the email and phone quality your Cassandra tables carry. Clean identifiers land for Snapchat; blank ones never will. The first Custom Audiences API report shows platform teams running Cassandra where list sizing on Snapchat needs work, a data-quality task handled in Apache Cassandra.

    NEXT STEP

    Apache Cassandra to Snap Custom Audience, in production this week.

    Talk to our team All Apache Cassandra use cases