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Case Study

1 min readJoris van Huët

Brands That Switched from Northbeam: Their Experience

See how Shopify brands transitioned from Northbeam to Causality Engine for superior attribution accuracy using Bayesian causal methods.

Quick Answer·1 min read

Brands That Switched from Northbeam: See how Shopify brands transitioned from Northbeam to Causality Engine for superior attribution accuracy using Bayesian causal methods.

Read the full article below for detailed insights and actionable strategies.

Brands That Switched from Northbeam: Their Experience

Northbeam offers marketing analytics for eCommerce, but several Shopify brands have transitioned to Causality Engine for more rigorous attribution.

Reasons for Switching

Bayesian Causal Attribution: Causality Engine provides probabilistic causal impact estimates rather than correlation-based metrics.

Faster Time to Insights: Our implementation process and data refresh cycles are refined for rapid decision-making.

Dedicated Shopify Focus: Tailored features and reporting for Shopify brands.

Case Study: Brand B

Switched in mid-2025

Improved attribution precision, reducing budget waste by 22%

Increased ROAS by 14% within 3 months

Client Feedback

"The move to Causality Engine sharpened our marketing decisions and gave us a statistical edge." - Brand B Growth Lead

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Frequently Asked Questions

How does Causality Engine’s attribution differ from Northbeam’s?

Causality Engine uses Bayesian causal inference, offering probabilistic causal impact rather than correlation-based insights.

Are there Shopify-specific features?

Yes, our platform is designed with Shopify data models and workflows in mind.

How long does the switch take?

Most brands go live within 48 hours after starting implementation.

Ad spend wasted.Revenue recovered.