Skip to main content
  1. Home
  2. Connectors
  3. Custom stack - Your warehouse

Send every Custom stack event to your warehouse, server-side

Each event is resolved to a person against a 750M+ device graph before it reaches your warehouse, as a full-fidelity event stream you can query yourself.

US device IDs in the graph
750M+
Match rate on events
90%+
Identity window, per customer
Lifetime
Most brands are live
<20 min

How it flows

How a Custom stack event reaches your warehouse. Captured on the server, resolved to a person, then sent.

01 Capture

Captured from Custom stack

Not on the list? Send events to Upstack from any stack over webhook or direct post, with the same schema and the same resolution.

See the Custom stack integration
Custom stackWhat it sends
  • event_namewhatever you choose to call it
  • user identifiersany of email, phone, external ID
  • value / currencyif the event carries revenue
  • custom propertiesany attribute in your own schema

02 Understand

Resolved to one person before it leaves

Every Custom stack event is matched against a 750M+ device graph, so a phone browse and a desktop checkout resolve to one customer rather than two strangers.

How resolution works
Upstack DataResolved before it is sent
  • IdentityMatched against a 750M+ device graph, so a phone browse and a desktop checkout resolve to one customer.
  • customer_typeNew or returning, resolved before send.
  • DeduplicationStable event IDs, so re-runs and backfills do not double rows.
  • Bot and fraud filteringFiltered before load, with the filter decision recorded.

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.

03 Activate

Delivered to your warehouse

A clean, resolved event stream into BigQuery, Snowflake or Redshift: the same data your dashboards run on.

See the warehouse integration
Your warehouseWhat it receives
  • event_idprimary key you can join on
  • resolved person IDstitch sessions to customers
  • full property payloadnothing dropped, nothing sampled
  • ingest timestamprebuild any point-in-time view

The catch

A custom stream is the easiest to land and the hardest to trust, because nothing enforces the schema.

Resolution and validation happen on the way in.

Where to check in your warehouseA stream you can audit

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

What changes

What changes when Custom stack feeds your warehouse. Two gains on the warehouse side, two on the Custom stack side.

Your warehouse

One resolved event stream

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

Your warehouse

Nothing sampled

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

Custom stack

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.

Custom stack

The same event schema

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

Setup

Post directly from your backend so nothing depends on the browser.

Connect Custom stack once and every destination, your warehouse included, is forwarded the same resolved events.

Upstack dashboardExample
Custom stack Data source Connected
Your warehouse Destination Healthy
Read the full warehouse setup guide
  1. 01

    Connect Custom stack

    Not on the list? Send events to Upstack from any stack over webhook or direct post, with the same schema and the same resolution.

  2. 02

    Add the warehouse destination

    Under Destinations, add your warehouse. Every resolved Custom stack event is then forwarded to it.

  3. 03

    Check delivery to your warehouse

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

FAQ

Questions about Custom stack and your warehouse.

How do I check that Custom stack events are reaching 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.

Will re-runs or backfills duplicate rows?

No. Stable event IDs, so re-runs and backfills do not double rows.

Related connectors

See all 408 connectors

Get Custom stack talking to your warehouse.

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

21-day free trial, no card. Month to month.