Best Northbeam Alternative for Shopify eCommerce in 2026
Northbeam and Causality Engine compared for Shopify stores: the attribution method each one uses, what each reports and what each costs.
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By Joris van Huët, Founder & CEOUpdated 1 min read
Causality Engine: The Causal Inference Advantage
Causality Engine, based in the Netherlands, is built on causal inference.
How It Works: A Technical Overview
Causality Engine reads one file, the Attribution paths export from GA4, and shows what each channel caused next to what last-click gave it.
Making the Switch
You can start with a one-time analysis for just €99 to see the power of causal inference on your own data.
Related Resources
Best First Click Attribution Alternative for Shopify ecommerce in 2026
Best Last Click Attribution Alternative for Shopify ecommerce in 2026
Best Linear Attribution Alternative for Shopify ecommerce in 2026
Best Rockerbox Alternative for Shopify ecommerce in 2026
Best Wicked Reports Alternative for Shopify ecommerce in 2026
Frequently asked questions
Is Causality Engine a direct replacement for Northbeam?
The read works on GA4 channel groups, not campaigns or creatives, and it is a one-off read rather than a daily dashboard.How long does it take to see results?
You can get your first one-time analysis within 48 hours. Results arrive 1 to 2 minutes after the upload, and there is no pixel and no SDK to install.What is the main difference between causal inference and traditional attribution?
Causality Engine uses causal inference on the GA4 history you already have to estimate what each channel caused. Learn more on our /resources/causal-inference-101.
Go deeper: Causal attribution, explained.
Sixty-second versions of these ideas: Causality Engine on YouTube Shorts.
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Terms in this article
- AttributionAttribution identifies user actions that contribute to a desired outcome and assigns value to each. It reveals which marketing touchpoints drive conversions.
- Causal AnalysisCausal Analysis identifies true cause-and-effect relationships in data, moving beyond correlation to show how marketing actions directly impact outcomes.
- Causal InferenceCausal inference is the set of methods for estimating how much an outcome changes because of a cause, rather than alongside it. It works by comparing what happened with an estimate of what would have happened without the cause.
- CausalityCausality is the relationship where one event directly causes another, essential for identifying specific actions that drive desired outcomes in marketing.
- First Click AttributionFirst Click Attribution assigns all conversion credit to the first marketing touchpoint. Causal inference evaluates if first touchpoints truly drive conversions or if other interactions have greater causal impact.
- Last Click AttributionLast Click Attribution: Assigns all credit for a conversion to the final marketing touchpoint before that conversion.
- Linear AttributionLinear Attribution assigns equal credit to every marketing touchpoint in a customer's conversion path. This model distributes value uniformly across all interactions.
- ShopifyShopify is an ecommerce platform for creating online stores and selling products. Attribution modeling shows which marketing channels drive traffic and conversions within Shopify.