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    CONNECTIONS / IBM DB2 / IBM DB2 to Snap Offline CAPI

    Db2 tables into Snapchat, built for Snapchat in-store conversions.

    Connect IBM DB2 and point Signals at your Db2 tables; it reports in-store purchases against the Snapchat campaigns that reached the buyer each time the read runs, hashed and consent-checked for Snapchat.

    Talk to our team Explore the setup

    ibm-db2 -> snap-offline-capi :: live

    1. ● ibm db2 → snap.capi :: live
    2. > read closed_deals rows=35,793
    3. hash sha256(email,phone) consent=filtered
    4. route snap deliver
    5. ✓ delivered · 31,140 matched

    WHAT THIS ENABLES

    IBM DB2 to Snapchat Offline CAPI

    Snapchat Offline CAPI for IBM DB2: Signals reports in-store purchases against the Snapchat campaigns that reached the buyer straight from your Db2 tables, hashed and consent-screened each time the read runs.

    • Offline and in-store sales from your Db2 tables activated for Snapchat, as Signals reports in-store purchases against the Snapchat campaigns that reached the buyer.
    • Physical-world sales counted inside Snapchat performance, drawn from your Db2 tables by enterprise data teams on IBM DB2.
    WHAT FLOWS WHERE

    The click, the conversion, and the credit.

    The conversion happens off Snap, away from any pixel. Here is how IBM DB2 closes the loop.

    Snap credits the campaign that sourced the conversion conversion happens off-platform Ad click on Snap Scheduled read sync recorded in IBM DB2 S Signals hash · dedupe Conversions API delivered · credited
    WHO THIS IS FOR

    Built for the teams that own the number.

    Retail and QSR advertisers whose Snapchat audience buys in person, with the records already in Db2 tables and views.

    Enterprise data teams on IBM DB2 activating Snapchat in-store conversions straight from Db2 tables.

    HOW DATAHASH SETS IT UP

    From kickoff to verified events.

    1. Connect

      A read-only database user scoped to the Db2 tables you name to feed Snapchat's Conversions API, sized for offline event timing.

    2. Map

      A scheduled read pulls your Db2 tables, and its columns map to Snapchat's Conversions API in the visual mapper, hashed and checked for offline event timing.

    3. Deliver

      On each run, Signals pulls your Db2 tables, reports in-store purchases against the Snapchat campaigns that reached the buyer, and reads only the records changed since the last run, with offline event timing in the debugger.

    WHAT YOU GET

    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 IBM DB2 records the event.
    ON THE WIRE

    What Offline CAPI actually receives.

    signals :: ibm-db2.snap-offline-capi :: wire

    1. ● signals :: event payload
    2. > POST /v2/conversion source=ibm-db2.closed_deals
    3. event_type "PURCHASE" · event_conversion_type "OFFLINE"
    4. hashed_email "5d8b22…" · hashed_phone_number "a179fe…"
    5. timestamp 1783929805 · price 43325 · currency USD
    6. ✓ accepted · match=true
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    generic

    Snap Offline CAPI

    Deliver offline conversions to Snap on a schedule that fits your operations.

    Learn more
    FAQ

    Asked on almost every call.

    How often does the IBM DB2 Snap Offline CAPI 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, physical-world sales counted inside Snapchat performance stays current while enterprise data teams on IBM DB2 keep offline event timing in view. Delivery needs no export and no manual upload.

    What match rate should a IBM DB2-sourced Snap Offline CAPI 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 offline event timing, which enterprise data teams on IBM DB2 then raise inside your Db2 tables.

    NEXT STEP

    IBM DB2 to Snap Offline CAPI, in production this week.

    Talk to our team All IBM DB2 use cases