Messaging data,
exported continuously to your S3 bucket.
Cross-account IAM. Customer-owned bucket. Files partitioned by date for fast queries. The same engine powers our Snowflake and Databricks destinations, so you can switch without rebuilding the pipeline.
THE BEFORE
Your messaging data shouldn’t live in a vendor’s UI.
Every report your team builds, every model your data scientists train, every audit your compliance lead runs depends on raw events. Not screenshots. Not CSV exports. Continuous, schema-stable, in your warehouse.
Everything your data team expects from a real warehouse pipeline.
Three guarantees. Each one removes a question your engineering review will ask.
01 / CROSS-ACCOUNT IAM
Your account. Your keys. Your control.
You create an IAM role with our External ID. We assume it. We never hold a key. The data lands in a bucket your team owns.
02 / STABLE DATA SHAPES
Versioned. Documented. No glue code.
Stable, versioned data shapes. Same fields next quarter as this quarter. Backwards-compatible additions only, so your pipelines never break on a release.
03 / SCHEDULE AND SCOPE
Hourly, daily, or on demand. Incremental or full.
Hourly, daily, or on demand. Incremental for ongoing pipelines. Full for backfills and audits. Brand-level filtering for multi-brand orgs.
Four data sets. Stable. Documented. Versioned.
The grain matches how data teams actually model messaging. No reshaping required.
Send and delivery events
one row per message status change
Every send, every delivery, every failure. Phone, project, brand, channel, error reason, and timestamps. The grain your attribution and deliverability work has always wanted.
Campaign rollups
one row per campaign
Per-campaign totals for sends, deliveries, failures, clicks, and opt-outs. Executive reporting, finance reconciliation, and historical performance, ready to query.
Opt-out events
one row per opt-out
Compliance-grade opt-out trail. Every STOP, every unsubscribe, with the source and timestamp. The artifact your compliance review needs.
Link engagement
one row per link click
Full clickstream with device, OS, country, and attribution context. The data your downstream models have been waiting for.
Backwards-compatible additions only. Your downstream queries never break on a release.
Same outcome. A real pipeline instead of a spreadsheet.
What used to be a weekly export ritual is one connection and a schedule.
Manual pulls. Stale data. Format drift.
- 1Log in to vendor UI
- 2Export CSVs by hand
- 3Reconcile schema drift
- 4Re-import to the warehouse
Lost weeks. Audit gaps. Decisions on yesterday’s data.
Continuous. Schema-stable. Auditable.
- 1Connect the role once
- 2Pick destination, schedule, scope
- 3Query in the warehouse
One IAM role. Hourly refresh. Every byte audited. Done in an afternoon.
Pick the warehouse you already run on.
All three destinations use the same exports engine. Switch between them without rebuilding the pipeline.
Answered before you have to.
This is the defining platform. See how it's measured.
Every message delivered. At a known cost. On demand. At any scale.