How To Export Attribution Data: Exporting attribution data from Causality Engine enables Shopify brands to perform custom analysis or share insights with stakeholders.
Read the full article below for detailed insights and actionable strategies.
The attribution problem
One sale. Four channels. 400% credit claimed.
Reported revenue: €400 · Actual revenue: €100 · Gap: €300
Introduction
Causality Engine allows you to export your marketing attribution data in formats suitable for reporting, advanced analytics, or integration with other tools.
Step 1: Navigate to Export
Log in and go to the Attribution Results page.
Click the "Export Data" button.
Step 2: Select Data Scope
Choose date range.
Select channels or campaigns.
Pick metrics (incremental conversions, spend, ROAS).
Step 3: Choose Export Format
CSV for spreadsheets.
JSON for API ingestion or developer use.
Step 4: Download and Use
Download the exported file.
Import into BI tools like Tableau or Google Sheets.
Automation Options
Subscription plans offer API access for automated data pulls.
Data Fields Explained
Channel ID and Name
Incremental Conversions and Confidence
Spend and True ROAS (see /how-to-calculate-true-roas)
Internal Links
Check /how-to-calculate-true-roas for integrating exported data with performance metrics.
External Resources
For marketing attribution terminology, visit Wikidata.
Conclusion
Data export is essential for transparency, deeper analysis, and cross-team collaboration.
Related Resources
Case Study: Jewelry Brand Holiday Campaign: How Attribution Drove Record Sales
Marketing Experiment Tracker: A/B Test Documentation Template
Audience Overlap Attribution Issue: Stop Paying Twice for the Same Customer
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Key Terms in This Article
Analytics
Analytics is the systematic computational analysis of data. It reveals customer behavior and measures campaign performance.
Attribution
Attribution identifies user actions that contribute to a desired outcome and assigns value to each. It reveals which marketing touchpoints drive conversions.
Case Study
A case study is an in-depth analysis of a particular instance or event. Marketers use it to demonstrate a product's or service's effectiveness.
Causality
Causality is the relationship where one event directly causes another, essential for identifying specific actions that drive desired outcomes in marketing.
Click
Click is the action a user takes to interact with a digital advertisement, redirecting them to a website or landing page. Clicks are a fundamental metric for measuring ad engagement and a primary input for click-based attribution models.
Conversion
Conversion is a specific, desired action a user takes in response to a marketing message, such as a purchase or a sign-up.
Marketing Attribution
Marketing attribution assigns credit to marketing touchpoints that contribute to a conversion or sale. Causal inference enhances attribution models by identifying true cause-effect relationships.
Metrics
Metrics are quantifiable measures that track and assess business process status. They evaluate campaign performance and inform attribution analysis.
Related Articles
Sixty-second versions of these ideas: Causality Engine on YouTube Shorts.
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Frequently Asked Questions
What formats are supported for export?
CSV and JSON are supported for manual and programmatic use.
Can I export data for a specific campaign only?
Yes, you can filter by campaigns or channels before export.
Is there a limit on export size?
No hard limits, but very large exports may take longer to process.
Does export include cannibalization data?
Yes, cannibalization scores per channel are included.
Can I automate data exports?
Yes, subscription plans provide API endpoints for automation.