CONNECTIONS / Apache Cassandra / Apache Cassandra to Snap Offline CAPI
From Cassandra tables to Snapchat in-store conversions.
Connect Apache Cassandra and point Signals at your Cassandra 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.
- ● apache cassandra → snap.capi :: live
- > read closed_deals rows=20,547
- hash sha256(email,phone) consent=filtered
- route snap deliver
- ✓ delivered · 17,876 matched
WHAT THIS ENABLES
Apache Cassandra to Snapchat Offline CAPI
Apache Cassandra to Snapchat Offline CAPI: Signals reads your Cassandra tables and reports in-store purchases against the Snapchat campaigns that reached the buyer, hashed and consent-checked each time the read runs.
- Offline and in-store sales from your Cassandra 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 Cassandra tables by platform teams running Cassandra.
The click, the conversion, and the credit.
The conversion happens off Snap, away from any pixel. Here is how Apache Cassandra closes the loop.
Built for the teams that own the number.
Platform teams running Cassandra activating Snapchat in-store conversions straight from Cassandra tables.
From kickoff to verified events.
-
Connect
A read-only database user scoped to the Cassandra tables you name to feed Snapchat's Conversions API, sized for offline event timing.
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Map
A scheduled read pulls your Cassandra tables, and its columns map to Snapchat's Conversions API in the visual mapper, hashed and checked for offline event timing.
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Deliver
On each run, Signals pulls your Cassandra 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 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 Apache Cassandra records the event. |
What Offline CAPI actually receives.
- ● signals :: event payload
- > POST /v2/conversion source=apache-cassandra.closed_deals
- event_type "PURCHASE" · event_conversion_type "OFFLINE"
- hashed_email "5d8b22…" · hashed_phone_number "a179fe…"
- timestamp 1784298889 · price 36149 · currency USD
- ✓ accepted · match=true
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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 Apache Cassandra Snap Offline CAPI 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, physical-world sales counted inside Snapchat performance keeps pace and platform teams running Cassandra watch offline event timing. One scoped connection sets it up, cadence adjustable later.
What match rate should a Apache Cassandra-sourced Snap Offline CAPI 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 Conversions API report shows platform teams running Cassandra where offline event timing needs work, a data-quality task handled in Apache Cassandra.
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