Export raw, user-level marketing data to your warehouse
Attribution's Data Export Tool sends full-fidelity visit-level and user-level data to Snowflake, BigQuery, Redshift, Databricks, and cloud storage. Not aggregated summaries. Not sampled data. Every visit, every cost allocation, every conversion event, every user identity. Best for teams that already have a data ingestion workflow and want full control. Bring whatever warehouse works best.
Snowflake 
BigQuery 
Redshift 
Databricks 
S3 
Azure 
GCS Trusted by data-driven teams to power advanced marketing analytics
What Gets Exported
Nine structured tables with your complete marketing data
Attribution exports the same raw data that powers your dashboard — but in structured, queryable form. Click any table to see what's inside.
Events
~millions rows typicalEvery pageview and custom event captured by Attribution's tracking snippet. Includes timestamp, IP, referring URL, revenue, visitor ID, source, and event type.
Where It Goes
Two paths to your data infrastructure
Cloud storage export
Self-managed
Attribution exports structured data files to Amazon S3, Azure Blob Storage, or Google Cloud Storage on a daily schedule. Your team loads the data into your warehouse using your existing pipeline.
Best for teams that already have a data ingestion workflow and want full control.
S3 Azure Blob GCS Built-in ETL service
Managed
Attribution's ETL service connects directly to your warehouse, creates the schema, loads data, and handles UPSERT/MERGE logic automatically. Daily runs deliver clean, deduplicated data without your team writing loading scripts.
Best for teams that want data in the warehouse without maintaining a pipeline.
Snowflake BigQuery Redshift Databricks PostgreSQL What You Can Build
Use cases your data team will actually care about
Custom attribution models
Build any attribution model in SQL. Weighted models tuned to your funnel, models that incorporate offline touches, models that combine marketing and product usage data. The raw visits, costs, and conversions are all there — no model pre-applied.
Learn about Attribution models →Media mix modeling
Every MMM model needs daily spend by channel and daily conversions. Attribution exports both. Feed the data into Meta's Robyn, Google's Meridian, Keen, or an LLM. Run media mix modeling without buying a $50K+ platform.
Learn about MMM with Attribution →Incrementality testing
Run geo holdout tests, time-based on/off experiments, or synthetic control analyses. Attribution exports granular daily spend and conversion data by channel — everything you need to measure true incremental impact.
Learn about incrementality testing →Unify marketing + product + revenue data
Join Attribution's marketing data with product analytics from Amplitude, billing data from Stripe, and CRM data from Salesforce. Answer questions none of these tools can answer alone: What's the LTV of users acquired through LinkedIn who activated feature X?
See the data schema →CFO-ready financial reporting
Attribution's amounts table contains actual spend pulled from ad platform APIs with original currency and conversion rates. Join it with your financial data for marketing ROI reports that reconcile with bank statements.
See pricing →How teams use Attribution's data export
Xometry exports Attribution's raw event and campaign data into Snowflake so their internal analytics team can run product analytics, incrementality testing, and media mix modeling. By having user-level attribution data alongside their product and revenue data in the same warehouse, Xometry's analysts build custom models that go far beyond what any dashboard can provide — including experimental analyses and forecasting models that inform budget allocation decisions.
Snowflake (via S3) 
Printfly ingests Attribution's raw data into BigQuery where their data team joins attribution visits to order data from Stripe, Segment, and their CRM. This lets them deduplicate conversions, troubleshoot missing order events, and power an in-house dashboard with custom BI reporting. Instead of relying solely on Attribution's dashboard, Printfly's team builds the exact reports their business needs from the raw data.
BigQuery 
Split Pay by Rent App Visible exports Attribution's data to S3 to analyze user behavior beyond standard attribution reporting. Their team blends attribution data into their internal data stack to build custom leadership dashboards that combine marketing acquisition data with product usage and business metrics — giving executives a unified view that no single tool provides on its own.
Amazon S3 Why This Is Different
Attribution's export vs. Fivetran
If you're pulling ad platform data through Fivetran and trying to build attribution or MMM models, you have failed and you probably don't even know it.
Data export pricing
Data export is available as an add-on for any Attribution plan. The export includes all nine tables, daily automatic updates, and your choice of cloud storage or managed ETL to your warehouse. MMM and incrementality analyses are included at no additional cost.
Frequently asked questions
Everything you need to know about the product and billing.
Attribution's Data Export Tool exports nine structured, SQL-queryable tables containing every data point collected by the platform: events (every pageview and custom event with timestamps, revenue, and source), visits (session-level touchpoints with channel assignment — the most valuable table for building custom attribution models), filters (your complete channel hierarchy matching the Attribution dashboard), visitors (identity-resolved user records linking anonymous sessions to known customers across devices), users (mapped to your internal user IDs for joining with product databases and CRMs), amounts (daily ad spend per channel pulled directly from ad platform APIs with currency conversion), params (parsed UTM parameters), properties (custom event properties from track() calls), and companies (account-level B2B data for account-based attribution). This is the same raw data that powers Attribution's dashboard, exported without any attribution model pre-applied.
Attribution exports to cloud storage (Amazon S3, Azure Blob Storage, Google Cloud Storage) for self-managed loading, and directly to data warehouses via a built-in ETL service that supports Snowflake, BigQuery, Redshift, Databricks, and PostgreSQL (beta). The ETL service handles schema creation, daily data loading, and UPSERT/MERGE logic automatically — your data team doesn't need to build or maintain a pipeline.
No. Attribution exports full-fidelity, raw data at the event and visit level — every pageview, every ad click, every conversion, every cost allocation. Unlike ad platform exports through tools like Fivetran, Stitch, or Airbyte, which provide campaign-level aggregates, Attribution's export contains user-level data with persistent identity resolution across sessions and devices. No aggregation, no sampling, no pre-applied attribution models.
Yes, at no additional cost. Attribution's Data Export Tool provides the same input data that dedicated media mix modeling platforms require — daily spend by channel and daily conversions — included with the data export add-on. Teams can run MMM using open-source frameworks including Meta's Robyn (R) and Google's Meridian (Python). For incrementality testing, the export includes granular daily spend and conversion data suitable for geo holdout tests, time-based on/off experiments, and synthetic control analyses. Most standalone MMM and incrementality platforms cost $50,000 or more per year.
Yes. Teams are using Claude, ChatGPT, and other LLMs with code execution to run media mix modeling, incrementality analysis, and custom attribution modeling directly on Attribution's exported data. Export your data as a CSV, upload it to the LLM, and ask it to fit a Bayesian MMM model, design an incrementality test, or build a custom attribution model. The LLM writes and executes the code, produces visualizations, and provides recommendations in plain English.
The data export writes structured data files to your cloud storage (Amazon S3, Azure Blob Storage, or Google Cloud Storage) on a daily schedule. Your team is responsible for loading those files into your warehouse. The ETL service is a managed layer on top — it connects directly to Snowflake, BigQuery, Redshift, or Databricks, creates the schema, loads data, and handles incremental updates and deduplication automatically. Both deliver the same nine tables with the same data.
Data export is available as an add-on to any Attribution plan. Contact sales for pricing. All analyses you run on the exported data — including media mix modeling, incrementality testing, custom attribution models, and LLM-powered analysis — are included at no additional cost. There is no separate MMM module, incrementality module, or per-analysis fee.
