The 7 Best Google Optimize Alternatives for Shopify Stores (2026)

If you are still searching for what replaced Google Optimize, the short answer is: there is no single successor, because Google Optimize covered two very different jobs that have since split into two categories. For classic manual A/B testing (headline variants, landing page redesigns, checkout flow experiments), Optimizely, VWO, AB Tasty, and Convert are the direct enterprise-grade replacements. For Shopify merchants who just want their product pages, reviews, and UGC to convert better without running experiments themselves, Eevy is the modern alternative: it continuously tests every variation of your on-page content with a genetic algorithm and keeps whichever combination converts best, per product, with no test design and no traffic-split math. Which one you need depends on what you were actually using Google Optimize for.

Google Optimize shut down for good in September 2023, and Shopify merchants who relied on it for free A/B testing have been patching together replacements ever since. Some moved to enterprise suites that are far more powerful than Optimize ever was, but also far more expensive and far more manual. Others moved to Shopify-native testing apps built specifically for ecommerce. A smaller number have started skipping manual testing altogether in favor of tools that optimize automatically.

This guide covers the seven most relevant alternatives for Shopify stores in 2026: what each one is actually good at, what it costs (qualitatively, where pricing is not public), and who should pick it. We will start with the honest case for why "a Google Optimize replacement" is not really one category anymore.

Why you still need a Google Optimize replacement

Google Optimize was free, which is the main reason so many merchants never replaced it properly. But "free" came with a real cost: you had to design every experiment, calculate your own sample size, decide when a test had reached significance, and manually apply the winning variant once it did. For a solo Shopify merchant running a store on the side, that manual overhead was often the reason tests never got run at all.

Since Optimize sunset, the market has split into three distinct lanes:

1. Enterprise testing suites (Optimizely, VWO, AB Tasty, Convert) that give you far more testing power than Optimize ever had: server-side testing, feature flagging, statistical rigor, multi-channel experimentation. These are built for teams with a dedicated CRO or growth function, and they price accordingly.
2. Shopify-native testers (Intelligems, Shoplift) built specifically for ecommerce use cases like price testing, bundle testing, and theme-section testing, with tighter Shopify integration than the general-purpose suites.
3. Autonomous optimization (Eevy) that removes the "design and run a test" step entirely for a specific, high-leverage slice of the page: social proof and on-page content. Instead of you deciding what to test, it tests everything continuously and keeps the winner.

None of these are strictly "better" than Optimize in every dimension. They are more capable in the areas that matter for revenue, and less free. Which lane you belong in depends on what you actually need to move: on-page content and trust signals, or structural page and funnel changes.

1. Eevy

Eevy is not an A/B testing tool, and that is the point. Where Google Optimize (and every classic testing suite) requires you to hypothesize a variant, split traffic, and wait for statistical significance before you can even start learning, Eevy runs a genetic algorithm that continuously generates and tests variations of your product page's reviews, UGC video, FAQs, and trust sections in the background, then automatically keeps whichever combination is converting best for each product. There is no experiment to design, no minimum sample size to hit, and no dashboard to babysit for a "winner" call: the system is always testing and always converging.

For Shopify merchants who tried Google Optimize because it was free and simple, and got scared off classic testing tools because of the setup overhead, Eevy is the closest thing to "just make my product pages convert better" without becoming a CRO analyst. It installs from the Shopify App Store in about five minutes, requires no code and no test configuration, and stores running it see conversion rate lift of roughly 18% on average. Pricing starts with a permanent free plan for stores up to 25,000 monthly visitors, then $99/month, $199/month, and $399/month as traffic scales, making it the only tool in this list a merchant can genuinely try at zero cost. The honest tradeoff: Eevy optimizes on-page content and social proof presentation, not arbitrary headlines, layouts, or server-side logic. If you need to test a full landing page redesign or a checkout flow variant, you still need a classic testing tool alongside it.

Best for: Shopify merchants who want product pages that keep improving on their own, without running or interpreting a single test.

2. Optimizely

Optimizely is the enterprise heir to the manual A/B testing category Google Optimize came from, just built for organizations that need far more than Optimize offered. It supports web experimentation, feature flagging, and server-side testing across web and app, with a statistics engine built for high-traffic sites running dozens of concurrent experiments. Teams with a dedicated experimentation program, an engineering-backed feature flag workflow, and the headcount to design and interpret tests will find Optimizely genuinely more capable than Optimize ever was.

The catch is that Optimizely is priced and built for that team, not for a solo Shopify merchant. Pricing is quote-based and typically requires an annual contract, implementation usually involves engineering time to wire up the SDK properly, and the platform's depth (audience targeting, stats engine configuration, feature flag rollouts) is more than most single-storefront merchants need or will use. It replaces Optimize's testing engine, but not its ease of use or its price point.

Best for: Larger commerce or SaaS organizations with a dedicated growth or experimentation team and engineering resources to support it.

3. VWO

VWO (Visual Website Optimizer) is often the first name merchants land on when searching for a Google Optimize alternative, and for good reason: its visual editor is one of the closer analogues to how Optimize felt to use, letting you build variants without writing code. VWO also bundles heatmaps, session recordings, and survey tools alongside its testing engine, so you get a broader conversion research toolkit in one subscription rather than stitching together separate tools.

Where VWO asks more of you than Optimize did is depth and rigor: its Bayesian statistics engine, funnel analysis, and enterprise-grade targeting are more powerful, but also require someone who understands experimentation to use them well. Pricing scales with monthly tested users and sits well above what a small Shopify store typically wants to spend on testing infrastructure alone.

Best for: Marketing teams that want visual, no-code test building plus heatmaps and session recordings in a single platform.

4. AB Tasty

AB Tasty positions itself as an experimentation and personalization platform, which means it goes beyond simple split tests into audience segmentation, dynamic content personalization, and AI-assisted test idea generation. For ecommerce brands that want to personalize on-page content by segment (new vs. returning visitors, traffic source, geography) in addition to running structured experiments, AB Tasty covers more ground than Optimize did in a single tool.

The personalization layer is the differentiator, but it is also where the complexity and cost concentrate: getting real value out of segment-based personalization requires clean audience data and someone dedicated to building and monitoring segments, and enterprise pricing reflects that scope. For a merchant who just wants a straightforward test-and-ship replacement for Optimize, AB Tasty's feature surface is broader than most stores need.

Best for: Ecommerce and media brands that want experimentation combined with audience segmentation and personalization in one platform.

5. Convert

Convert Experiences is a privacy-focused testing platform that has picked up merchants specifically because of its cookie consent handling and its GDPR-conscious data practices, an area where Optimize's tight coupling to Google Analytics made some EU-based merchants uneasy. Convert also has a straightforward visual editor and integrates cleanly with common analytics and heatmap tools, without trying to be an all-in-one suite.

Convert is generally positioned as a mid-market option: less sprawling than Optimizely or AB Tasty, but still built around the same manual test-design workflow Optimize used, meaning you still own the job of deciding what to test, how long to run it, and when to call a winner. Pricing is usage-based on tracked visitors and is more approachable than the largest enterprise suites, though still a real monthly line item rather than a free tool.

Best for: Privacy-conscious teams that want straightforward split testing without an oversized enterprise feature set.

6. Intelligems

Intelligems is built specifically for Shopify and specifically for one job: pricing and merchandising experiments. It lets merchants A/B test prices, shipping thresholds, bundle configurations, and discount structures directly within Shopify's checkout, something the general-purpose suites (including Optimize) were never built to do safely on ecommerce pricing.

If what actually drove you to Google Optimize was testing offers and pricing rather than page copy or layout, Intelligems is a far better fit than any of the general-purpose tools above, because it understands Shopify's checkout and order data natively. It is narrower in scope than the enterprise suites: it will not help you test page layouts, trust badges, or content, so most merchants running Intelligems pair it with a separate tool (classic or autonomous) for on-page experimentation.

Best for: Shopify merchants who specifically want to test pricing, shipping thresholds, and offers rather than page content.

7. Shoplift

Shoplift is a Shopify-native A/B testing app built around theme sections and page-builder blocks, aimed at merchants who want to test structural page changes (hero layout, section order, product page blocks) without touching liquid code. It plugs directly into Shopify's theme editor, which makes the setup experience noticeably closer to Optimize's simplicity than the enterprise suites, and it is priced for single-storefront merchants rather than enterprise teams.

Shoplift still follows the classic testing model: you build a variant, split traffic, and wait for a result, so the manual overhead Optimize users were used to does not disappear, it just gets a friendlier Shopify-specific interface. For merchants whose main use case was testing theme and layout changes rather than content or pricing, it is one of the closer like-for-like replacements for what Optimize did on a Shopify store.

Best for: Shopify merchants who want to A/B test theme sections and page layout changes without writing code.

How to choose

Start from what you were actually testing in Google Optimize, not from "I need an A/B testing tool" as a category. If you were testing page layout, hero sections, or theme structure, Shoplift or a general-purpose suite is the direct swap. If pricing, bundles, or shipping thresholds were the target, Intelligems is purpose-built for that. If you need enterprise-scale experimentation with feature flags, personalization, or multi-channel testing, Optimizely, VWO, and AB Tasty are the serious options, priced and staffed accordingly.

If what you actually wanted from Optimize was simpler than any of that (product pages that convert better without you running the experiments) Eevy is worth trying first, especially since it is the only option here with a real free tier. Many stores end up running Eevy for on-page content and social proof alongside a classic tool for occasional structural or pricing tests: the two are not mutually exclusive, they cover different parts of the page.

Whichever direction you take, the one thing Google Optimize proved is that a testing tool only creates value if it actually gets used. A more powerful tool that sits half-configured because no one has time to run experiments is worse than a simpler one that runs continuously in the background.

Related Reading

• VWO vs Optimizely
• Shopify CRO Tools Comparison
• Best AI CRO App for Shopify