Snowflake Attribution Platform

Snowflake attribution: run attribution on your Snowflake data

AttriByte connects to your Snowflake database with read access, ingests the events it needs into a managed, isolated environment, and runs six attribution models. You keep ownership of your data and can export or delete it anytime.

Setup

Connected in four steps, no pipeline required

AttriByte reads directly from Snowflake using your existing tables. There is no ETL job to maintain, no data copy to pay for, and no additional storage.

Step 1

Grant read-only access

Create a dedicated Snowflake role with SELECT on the schemas AttriByte needs. No write permissions required.

Step 2

Provide connection credentials

Enter your Snowflake account identifier, warehouse, database, schema, and the role you created. Credentials are encrypted at rest with AES-256.

Step 3

Map your event tables

Point AttriByte at your touchpoint, session, and conversion tables. The schema mapper handles non-standard column names automatically.

Step 4

Attribution runs in a managed environment

AttriByte ingests the events it needs and computes all six models in a managed, isolated environment. In-warehouse pushdown is on the Enterprise roadmap.

Data residency

You keep ownership of your Snowflake data

When you connect your Snowflake account, AttriByte reads the events it needs and ingests them into a managed, isolated, encrypted environment to compute your attribution. Your Snowflake account stays the source of truth, and you can export or delete your data at any time.

This matters because Snowflake tables often contain contract-sensitive revenue data, regulated PII, and proprietary product telemetry. AttriByte processes that data in an isolated environment, never pooled across customers, with full export and deletion control so your governance policies stay enforceable.

  • Connect with a read-access role
  • Processed in a managed, isolated environment — never pooled across customers
  • Credentials encrypted AES-256 at rest, TLS in transit
  • Export or delete your data on demand

Query path

Your Snowflake account

Source of truth — you keep ownership

AttriByte attribution engine

Ingests events into a managed, isolated environment

AttriByte app

Renders your attribution reports

Attribution models

Six models, one Snowflake query set

AttriByte runs all six attribution models simultaneously against your Snowflake touchpoint data. Switch between views without re-running pipelines or waiting for a new export.

First-touch

Full credit to the channel that first brought the buyer into your funnel.

Last-touch

Full credit to the final touchpoint before conversion.

Linear

Credit split evenly across every touchpoint in the journey.

Time-decay

More credit to touchpoints closer in time to the conversion.

U-shaped

40% first-touch, 40% last-touch, 20% distributed across the middle.

W-shaped

Weights first-touch, lead creation, and opportunity creation.

Because all models share the same underlying Snowflake event table, you can compare first-touch versus W-shaped in a single dashboard without reconciling two different data exports. Budget reallocation decisions are grounded in one version of the truth.

Real-world scenario

From Snowflake event tables to channel-level ROI in hours

A B2B SaaS company lands paid traffic, tracks product usage events, and closes deals in their CRM. All three data sets live in Snowflake: ad click events from their data pipeline, product events from Segment, and CRM syncs from Fivetran.

Before AttriByte, the marketing team exported CSVs and joined them manually in spreadsheets. Attribution was stale by the time it reached a decision-maker, and the analysis did not survive the next campaign cycle.

After connecting AttriByte to Snowflake, the team gets live W-shaped attribution on every campaign, ad set, and UTM. When a campaign goes over budget, the ops lead can pull up the AttriByte dashboard, see that organic search is driving 3x the pipeline of paid social on a W-shaped basis, and reallocate in the same meeting.

The Snowflake data was already there. AttriByte just made it actionable. See the full product and pricing to get started.

Other warehouses

AttriByte supports every major warehouse

Snowflake is one of four fully supported data warehouses. The same attribution engine works on BigQuery, Redshift, and Postgres.

Learn more about the overall warehouse-native attribution approach.

FAQ

Snowflake attribution: common questions

Does AttriByte store copies of my Snowflake data?
AttriByte reads the events it needs and ingests them into a managed, isolated, encrypted environment to compute attribution. Your Snowflake account stays the source of truth, and you can export or delete your data at any time. Data is never pooled across customers.
What Snowflake permissions does AttriByte need?
SELECT access on the event, session, and conversion schemas you choose to map. Connect with a role scoped to read the data AttriByte needs.
Which Snowflake editions are supported?
AttriByte works with Standard, Enterprise, Business Critical, and Virtual Private Snowflake (VPS).
How long does setup take?
Most teams complete the connection, schema mapping, and first attribution report in under two hours. No data engineering work is required if your event and conversion data already live in Snowflake.
Can I run attribution across multiple Snowflake accounts?
Yes. The Business and Enterprise plans support multiple warehouse connections, so you can join event data from a production account with revenue data from a separate analytics account.
What does it cost?
AttriByte plans start at $1,200/month (Growth, 100K monthly tracked profiles). Snowflake connectivity is included on all plans. See the full pricing breakdown.

Connect your Snowflake warehouse today

Start a 14-day free trial and run attribution on your existing Snowflake data. No pipeline work required.

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