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Upstack Data

Custom stack to Your warehouse

Forward every Custom stack event to Your warehouse server-side, resolved to a person against a 750M+ device graph — as a full-fidelity event stream you can query yourself.

What changes

What changes when Custom stack feeds Your warehouse.

One resolved event stream

The same identity-resolved events that reach your ad platforms, landed in your warehouse.

Nothing sampled

Full-fidelity events, not an aggregate or a sample.

Any stack, any framework

Headless, custom checkout, native app or a platform we haven’t listed — if it can make an HTTP request, it can send to Upstack.

The same event schema

Custom events are resolved, filtered and forwarded exactly like a Shopify order.

What actually moves

What Custom stack carries, and what Your warehouse needs.

Custom stack and Your warehouse describe a customer with different vocabularies. This is the mapping Upstack applies on the way through — the left column is what Custom stack can put on an event, the right is what Your warehouse can actually use.

Custom stack sends

event_name
whatever you choose to call it
user identifiers
any of email, phone, external ID
value / currency
if the event carries revenue
custom properties
any attribute in your own schema

Your warehouse receives

event_id
primary key you can join on
resolved person ID
stitch sessions to customers
full property payload
nothing dropped, nothing sampled
ingest timestamp
rebuild any point-in-time view

A stream you can audit

How you know it is working.

Warehouse data is only useful if you trust it enough to base a decision on it. These controls exist so you can reconstruct how any row got there.

  • Full lineage

    Every row traceable to the event that produced it and the time it landed.
  • Deduplication

    Stable event IDs, so re-runs and backfills do not double rows.
  • Bot and fraud filtering

    Filtered before load, with the filter decision recorded.

Where to check in Your warehouse

Query the events table directly: count distinct resolved person IDs against count distinct sessions, and compare the ratio to what your analytics reports.

Get Custom stack talking to Your warehouse.

A 15-minute walkthrough of this connector on your own account.