Best Hyros Alternative for Shopify eCommerce in 2026
A comparison of Hyros with a causal approach to attribution for Shopify stores, covering how each works and what each one measures.
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By Joris van Huët, Founder & CEOUpdated 2 min read
Causality Engine vs Hyros: at a glance
Short answer: Keep Hyros. Causality Engine is not a replacement for it: it installs nothing and reads the GA4 export you already have, so it adds a read of what each channel caused on top of Hyros' server-side click tracking, for €99.
Scroll the table sideways for every column.
| Compared on | Causality EngineThe layer on top | HyrosAI ad tracking for high-ticket funnels |
|---|---|---|
| Compatible with Causality Engine | It is the layerReads your GA4 export | YesKeep Hyros, add the read |
| Pay once, no subscription | Yes€99 per read; Pro at €299 a month is optional | No public priceQuoted through sales |
| Price stays flat as you grow | Yes€99 a read, whatever your revenue or ad spend | NoPriced on your revenue |
| Money back if it does not help | YesFull refund within 30 days, no questions asked | Refund requests must be made in writing within 90 days of the first charge1 |
| Method | Causal inference on your GA4 export | Server-side click tracking |
| Starting price | €99 once, excl. VAT | Custom pricinghyros.com/pricing-ai-tracking, read |
| Pricing model | €99 per read, or Pro at €299 a month | One plan with no tiers or add-ons, sized to the revenue Hyros tracks and quoted on a setup call; the pricing page publishes no figure |
| Setup | Upload a GA4 export; results in 1 to 2 minutes | Tracking setup via onboarding |
| Best for | Ecommerce brands on GA4 spending on two or more channels | High-ticket products and info products |
| How it gets your data | ||
| Needs its own pixel, tag or SDK | NoNothing to install | Yes2 |
| Works with Google Analytics 4 | YesA GA4 export is the input | Not stated |
| Native store integrations | Any store that runs GA4Shopify, WooCommerce, Shopware, Magento or a custom build | Shopify, WooCommerce, BigCommerce, Magento / Adobe Commerce3 |
| Server-side tracking or conversion APIs | NoIt reads data you already collect | Yes4 |
| What it measures | ||
| Multi-touch attribution | NoCausal attribution: what each channel caused | Not stated |
| Marketing mix modelling | No | Not stated |
| Incrementality or holdout tests | NoNo test to run | Not stated |
| Post-purchase surveys | No | Not stated |
| How you buy it | ||
| Self-serve sign-up | YesUpload at /start | No5 |
| Free trial or free plan | First finding freeThe €99 read is refundable within 30 days | No free trial stated; set-up call with results guarantee6 |
| Billing terms | None for the readPro is billed monthly, cancel any time | Paid in full or monthly instalments; contract term set in each order (auto-renews)7 |
| Who makes it | ||
| Headquarters | Utrecht, Netherlands | Not stated |
| Founded | 2023 | 20198 |
| States EU data hosting | YesPrimary infrastructure in the EU, per our privacy policy | Not stated |
| What reviewers say | ||
| G2 | Not listed yet | Not stated |
| Capterra | Not listed yet | Not stated |
| Shopify App Store | No appNothing to install | Not stated |
Causality Engine installs nothing on your site. It reads the GA4 export you already have, so it runs on top of any tool here without touching its setup. The one condition: GA4 runs on your store too. “Not stated” means we could not find it on the vendor's own pages or listings on 12 October 2026; it does not mean the feature is missing.
Sources, read 12 October 2026
- 1. hyros.com/terms: “in order to receive a refund, all refund requests must be placed in writing within ninety (90) days of the first original charge.”
- 2. hyros.com/updates/what-is-hyros: “A small script is placed across the advertiser's website, landing pages, checkout flows, and thank-you pages.”
- 3. hyros.com/integrations: “Shopify Ecommerce & Checkout WooCommerce Ecommerce & Checkout BigCommerce Ecommerce & Checkout Magento Ecommerce & Checkout”
- 4. hyros.com/updates/what-is-hyros: “Hyros sends the conversion data back to ad platforms via server-to-server API (Conversions API for Meta, offline conversions for Google)”
- 5. hyros.com/pricing-ai-tracking: “Your price is sized to what we track for you - so we quote it on a quick set up call, not a table.”
- 6. hyros.com/pricing-ai-tracking: “Guaranteed - your ads grow or you do not pay”
- 7. hyros.com/terms: “Your Payment Schedule may either set forth a one-time payment of your Fees ("Paid In Full Payment Schedule") or monthly installment payments towards your Fees”
- 8. hyros.com/updates/what-is-hyros: “founded by Alex Becker in 2019”
Why Hyros Falls Short for Modern eCommerce
While Hyros has been a popular choice, it relies on correlational data, which is increasingly unreliable in a privacy-centric world.
The Problem with Correlation-Based Attribution
Correlation does not equal causation. Hyros and similar platforms use models like last-click or multi-touch attribution, which are essentially rules-based systems that guess where credit is due. They fail to measure the incremental lift from your marketing efforts.
Causality Engine: Causal Inference
Causality Engine, based in the Netherlands, is built on causal inference. It moves beyond correlation to determine the true causal impact of your marketing channels. This is the future of marketing attribution.
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.
| Feature | Hyros | Causality Engine |
|---|---|---|
| Methodology | Correlation (Rule-based) | Causal Inference |
| Measures | Attributed Revenue | Incremental Lift & Revenue |
| Cannibalization | Not Detected | Detected & Visualized |
| Pricing Model | One plan, priced by tracked monthly revenue (from $230/mo, read 2026-10-01) | Transparent: €99 per read or €299/mo for Pro |
Key Differentiators
No more black boxes.
For more details on our features, see our /pricing page.
Making the Switch
Switching from Hyros is straightforward. You can start with a one-time analysis for just €99 to see the power of causal inference on your own data.
Ready to stop guessing and start knowing your true marketing impact?
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
How long does it take to see results?
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?
Traditional attribution, like that used by Hyros, assigns credit based on rules (e.g., last click). 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.
- 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.
- Marketing AttributionMarketing attribution assigns credit to marketing touchpoints that contribute to a conversion or sale. Causal inference enhances attribution models by identifying true cause-effect relationships.
- Multi-Touch AttributionMulti-Touch Attribution assigns credit to multiple marketing touchpoints across the customer journey. It provides a complete view of channel impact on conversions.