For years, the assumption was simple: if you wanted to run proper A/B tests on your Shopify store, you needed a third-party app. Whether that was Google Optimize (now discontinued), Optimizely, VWO, or one of many Shopify-specific tools, testing was always something you bolted on from outside the platform.
That's changing. Shopify has been expanding its native testing and experimentation capabilities, and for many merchants—particularly those on higher plans—meaningful A/B testing is now possible directly inside Shopify, without adding another app to the stack.
This article explains what Shopify's native testing tools currently offer, where the limitations are, and how to think about your testing strategy in 2025.
What Shopify Now Offers Natively
Shopify Experiments (Theme A/B Testing)
Shopify introduced native theme A/B testing under the name Shopify Experiments. This feature allows merchants to test two versions of their theme against each other—measuring which version drives better conversion rates, revenue per visitor, or other key metrics.
The core setup is straightforward:
- Create a duplicate of your published theme
- Make changes to the duplicate (different homepage layout, updated product page, revised navigation, etc.)
- Set up an experiment that splits traffic between the two versions
- Run the experiment until you reach statistical significance
- Publish the winning version
This is genuine server-side A/B testing, which is meaningfully different from client-side JavaScript-based tests that flash content changes after page load. Server-side tests are cleaner, faster, and don't create the visual flicker associated with some third-party testing tools.
Shopify Experiments is available on Shopify Plus plans. It's not currently available on Basic, Shopify, or Advanced plans.
Price Testing via Shopify Markets and Custom Pricing
While not a formal A/B testing tool, Shopify Markets allows merchants to set different pricing for different geographic regions. This can be used to test price sensitivity across markets, though it's more of a pricing segmentation tool than a controlled experiment.
Discount and Promotion Testing
Shopify's discount tools allow for segment-specific promotions that can function as informal tests—offering different discounts to different customer segments and comparing results. Again, this isn't formal A/B testing with statistical controls, but it gives merchants some ability to compare outcomes across different offers.
Analytics and Reporting
Shopify's built-in analytics have improved significantly. While they don't replace a dedicated analytics platform, they provide enough visibility to evaluate experiment outcomes for merchants running tests natively.
What You Can Test With Shopify Experiments
The scope of what you can test with Shopify Experiments is essentially anything you can change in your theme:
- Homepage layouts and hero sections
- Product page designs—image placement, description formatting, CTA buttons
- Collection page layouts and filtering options
- Navigation structure and menu organization
- Cart and checkout flow elements (on supported plans)
- Trust signals—reviews placement, badges, guarantees
- Promotional banners and announcement bars
- Mobile vs. desktop layout variations
What you cannot easily test natively are things like:
- Individual product copy variations without theme changes
- Pricing A/B tests (showing different prices to different visitors on the same storefront)
- Personalization-based variations (showing different content based on visitor behavior)
- Multi-page funnel experiments that track across complex conversion paths
For these more advanced use cases, third-party tools still have the edge.
The Limitations of Native Testing
Shopify's native experimentation tools are genuinely useful, but they come with constraints worth understanding.
Plus-Only Access
Shopify Experiments is currently limited to Shopify Plus merchants. For merchants on other plans, native A/B testing isn't available, which means third-party apps remain the only option for controlled experiments.
Theme-Level Testing Only
You can only test differences between two theme versions. This means you need to make all your test variations at the theme level rather than being able to target specific components or create more granular experiments.
Limited Segmentation
Native experiments don't offer the visitor segmentation capabilities that dedicated testing platforms provide. You can't easily run experiments targeted only at new visitors, returning customers, or specific traffic sources.
Statistical Reporting
While Shopify does provide statistical reporting for experiments, it's less sophisticated than what dedicated platforms like Optimizely or VWO offer. For merchants who need detailed statistical analysis or multi-metric experiment tracking, third-party tools still provide more depth.
No Multivariate Testing
Shopify Experiments supports A/B testing (two variants), not multivariate testing (testing multiple variables simultaneously). If you want to test combinations of changes across multiple page elements at once, you'll need a third-party tool.
Third-Party Testing Apps: Still Worth It?
For Shopify Plus merchants with access to native experiments, the case for third-party testing apps becomes more situational. If your testing needs are primarily about comparing theme variations, native experiments may be sufficient.
Third-party tools continue to make sense when you need:
- Advanced segmentation — targeting experiments to specific visitor types, traffic sources, or behavioral segments
- Multivariate testing — testing multiple variables in combination
- Personalization — showing different experiences based on visitor data
- Non-Plus plans — if you're not on Shopify Plus, third-party apps are currently your only option for A/B testing
- Price testing — testing different price points for the same product to different visitor segments
- Server-side experimentation beyond themes — testing logic changes, recommendation algorithms, or product sorting
Popular options in the Shopify ecosystem include Convert Experiences, Intelligems (particularly good for price and copy testing), and Shoplift. Each has different strengths depending on what you're trying to test.
How to Think About Your Testing Strategy
Rather than thinking about "native vs. third-party" as a binary choice, it's more useful to think about what you actually need to test and what fidelity you need from your experiments.
For most Shopify Plus merchants, a reasonable approach is:
- Use Shopify Experiments for theme-level layout and design tests—it's cleaner, free of additional cost, and integrated directly into the admin
- Consider a third-party tool if you need segmentation, price testing, or more sophisticated experiment design
- Use Shopify Analytics alongside Google Analytics 4 to get enough data fidelity to evaluate results
For merchants on other plans, third-party apps remain the primary path for controlled testing, though the cost-benefit calculation should account for your traffic volume—A/B testing requires meaningful traffic to reach statistical significance in a reasonable timeframe.
A Note on Traffic Requirements
A/B testing only works when you have enough traffic to generate statistically significant results. A rough guideline: you typically need at least a few hundred conversions per variant to draw reliable conclusions. Stores with low traffic may find that tests run for weeks or months without reaching significance—in which case, testing efforts might be better directed toward qualitative research (customer interviews, session recordings, surveys) that can inform decisions without requiring high traffic volumes.
What to Test First
If you're setting up experimentation for the first time, focus on high-impact areas first:
- Product page — this is often where purchase decisions are made, and small improvements here can have significant revenue impact
- Homepage hero — first impressions matter, and this is an easy area to test different value propositions
- Cart and checkout entry points — reducing friction in the path to purchase is consistently high-value
- Navigation and collection pages — helping customers find the right products faster improves both conversion and experience
Start with your highest-traffic pages. Changes tested on pages that most visitors see will produce results faster and have larger potential impact.
Looking Ahead
Shopify has consistently expanded its native capabilities over time, and experimentation is an area where further development seems likely. Whether native testing becomes available on non-Plus plans or gains more sophisticated features in the future remains to be seen.
For now, the practical reality is: if you're on Shopify Plus and your testing needs are primarily around theme-level changes, native experiments are worth using. If you need more than that, or you're on a different plan, the third-party ecosystem remains robust and well-suited to Shopify stores.
Need Help Setting Up Testing on Your Shopify Store?
Whether you're just getting started with A/B testing or looking to build a more systematic experimentation program, we can help you set up the right tools, design meaningful experiments, and interpret results accurately.
Get in touch to talk through your testing strategy.
