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Google Optimize Alternatives for Shopify: The 2026 Guide

Google Optimize Alternatives for Shopify: The 2026 Guide

Google turned Optimize off on 30 September 2023. Three years on, most of the lists telling you the best Google Optimize alternative are either out of date or written by a tool that ranks itself at number one.

So here is the current map, with a Shopify bias, because that is who I build for. I run a market research company, not an A/B testing tool, so I have no affiliate deal riding on which one you pick. What follows is what you actually used Optimize for, the honest replacement for each job in 2026, the free options included, and the one thing almost no list mentions: whether you have the traffic to make any of them tell you the truth. The right replacement is rarely the one with the biggest feature list. It is the one that fits the job and the number of visitors you actually have.

First, what actually happened to Google Optimize

Optimize and Optimize 360 stopped working on 30 September 2023. Any experiments and personalisations still live on that date simply ended. Google was clear that it was not building a like-for-like replacement, saying instead that it is “investing in third-party A/B testing integrations for Google Analytics”, in its own sunset notice.

Read that last part carefully, because it changed the shape of this whole category. The plan is no longer one free Google tool that does the test and the reporting. It is a separate testing tool that runs the experiment, wired into Google Analytics 4 so you can read the results there. VWO, Optimizely and AB Tasty were among the first to build those certified GA4 integrations, with others following.

Here is the part people skip when they mourn Optimize. It was free, but you paid for it in other ways. It ran client-side, injecting changes into the page after it loaded, which meant the occasional flash of the original version before your test appeared. Its statistics were thin. And it never sat comfortably on Shopify. So “free like Optimize” now means one of two things: a genuinely free third-party tool, or your platform’s own testing. On Shopify in 2026, the second option finally exists, and almost none of the ranking guides have caught up.

The Shopify answer most lists still miss: native A/B testing

The single biggest change for Shopify merchants is that Shopify now has A/B testing built into the admin. It is called Rollouts, and it landed in 2026.

Shopify describes Rollouts as bringing “experimentation and scheduling directly into your admin”. You can run an A/B test that compares a set of changes against your current theme on live traffic, review the impact on conversions, and keep the winning version. It is built into the platform rather than bolted on with a script, so there is none of the on-page flicker that client-side tools can cause, and there is no separate subscription.

The details that matter for the buying decision, from Shopify’s own documentation:

Rollouts run on the Basic plan and above, but the A/B test itself, which Shopify calls an experiment, needs the Grow plan or higher. An experiment compares a treatment against a control, showing each to a slice of visitors so you are not exposing a change to your whole audience at once. You can test edits or full replacements of your main theme, and replacements of your checkout and account configuration. Market-specific targeting, for a regional promotion or a localised homepage, is available on Advanced and Plus.

Now the honest limits, because this is not a total replacement for everything Optimize or a paid tool does. Rollouts tests theme-level and checkout-configuration changes, so it is built for layout, content and design experiments. It does not test individual product prices or discount levels, and it does not do the fine-grained, single-element testing that dedicated conversion tools offer. It also needs the Grow plan for experiments, and it still needs traffic, which is the constraint I come back to at the end. For a large share of Shopify stores testing headlines, hero sections, product-page layouts and theme changes, native Rollouts is the honest first stop, and it is already included in what you pay Shopify.

If you want free or low-cost testing

A lot of the search traffic for a Google Optimize alternative is really searching for “free”. Fair enough. Outside Shopify’s native option, four tools genuinely deliver a free path, and they suit different teams.

GrowthBook is the pick if you have a developer. It is open-source under the MIT licence, and the self-hosted version is free with unlimited users, feature flags and experiments. It connects to the data warehouse you already have, so your experiment data stays in BigQuery, Snowflake, Postgres or similar, and it runs both Bayesian and frequentist statistics on top. There is a hosted free tier too, and a Pro plan at around 40 US dollars per user per month for the visual editor and advanced stats. Best for teams comfortable with a bit of setup who want serious statistics without an enterprise bill.

PostHog is the pick if you want analytics, session replays and experiments in one place. Its free tier is genuinely generous: experiments are billed as feature-flag requests, which are free up to a million a month, alongside a million analytics events and thousands of session recordings, then usage-based pricing after that with a spend cap you set. PostHog itself notes that most companies never pay. Best for product-led teams that want to understand behaviour, not just declare a winner.

Statsig is the pick if you want a generous free tier without self-hosting. It is cloud-based, so there is no infrastructure to run, and its free plan includes experimentation alongside analytics and feature flags, which is why engineering-led teams that outgrow a simpler tool tend to land on it. Best for teams that want warehouse-grade experimentation in the cloud without an enterprise bill.

Mida is the pick if you want something close to old Optimize with no developer. It markets itself directly as a free Google Optimize alternative, with A/B tests, split-URL tests and personalisation that report into Google Analytics 4. Best for simple landing-page and page-variant tests where you want to be running this afternoon.

One correction to the old advice while we are here. For years the standard tip was “just use VWO’s free plan”. That plan, capped at 50,000 monthly tracked users, is being retired in 2026, with new sign-ups moved to a 30-day trial. So VWO is no longer the free option it used to be. Treat it as a paid platform, covered next.

If you want a full CRO platform

If you were running a serious optimisation programme in Optimize and want a proper platform to replace it, this is the tier Google itself pointed you toward. These do far more than Optimize did, and they charge for it.

VWO is the name that comes up most often as the direct replacement, and its GA4 integration was one of the first available. Pricing scales with your monthly tracked users. The published entry tier sits around 314 US dollars a month for 10,000 tracked users, with the Growth plan around 665 a month for 100,000 users on annual billing, per independent pricing breakdowns; VWO’s own page shows a trial rather than prices. Best for mid-market and up teams that want the full testing, insights and personalisation suite in one login.

Convert Experiences is the pick if VWO’s pricing model bothers you, because Convert publishes its numbers and leans privacy-first. Its Entry plan is 199 US dollars a month billed annually for 100,000 tested users, with unlimited projects and variations, rising through Specialist and Pro tiers as your traffic grows. Best for teams that want transparent pricing and a lighter data footprint.

Optimizely is the enterprise heavyweight. It is powerful, it is custom-quoted, and for most Shopify stores it is more platform and more cost than the job needs. Best for large organisations running experimentation across several properties, not a single storefront.

AB Tasty is the other enterprise name, historically sold as the closest like-for-like Optimize replacement and priced on a custom quote. There is a live piece of news here that dates a lot of older lists: in January 2026, VWO and AB Tasty merged under Everstone Capital, a deal both companies confirmed publicly. So the two tools every 2023 guide told you to weigh against each other are now one company. Worth knowing before you sign anything.

For most Shopify merchants, this tier is worth it only once you have real testing volume and a person whose job is running experiments. If that is not you yet, keep reading.

If you are on Shopify and want to test what moves money

Native Rollouts covers layout and content. It does not test price, and it does not test at the granular level some stores need. This is the gap the Shopify app ecosystem fills, and it is the job Optimize never did well on Shopify anyway.

Intelligems is the most capable option for price and margin testing. It splits live traffic across different prices, shipping thresholds and offers, and reports on profit per visitor rather than raw conversion, which is the right way to read a price test. Price testing sits on its Plus plan at 499 US dollars a month, and it holds a 4.8 rating on the Shopify App Store. Our full Intelligems review digs into where it fits and where it doesn’t. Best for higher-volume stores serious about pricing.

Shoplift is the pick for theme, template and section testing built specifically for Shopify. It starts around 74 US dollars a month and scales with your traffic, adding price testing on higher tiers, and it carries a 4.9 rating from merchants. Best for design and merchandising tests without touching your theme code.

ABConvert is the value option, with price, shipping and template testing from around 199 US dollars a month on its growth tier and a free plan to start, on the App Store. Best for smaller stores that want price testing without an enterprise commitment.

One caution before you rush into price testing with any of them. A live test proves which of the prices you chose performed best. It does not tell you the price your market would actually have paid, because you never showed them a price outside your own guess. If you are still working out the range, map it first with willingness-to-pay research like Gabor-Granger, then test the two or three prices worth testing. Optimising within a wrong range just gets you the best of a bad set of options.

The thing every list skips: you probably do not have the traffic

Here is the part that decides whether any of the above will work for you, and almost no roundup mentions it, because it is the part that stops some people buying.

A live A/B test only gives you a trustworthy answer once each version has collected enough conversions to be statistically significant. Below that, you are reading noise, and noise will happily tell you to change something right before your revenue drops.

So how much is enough? Shopify conversion rates typically sit between 2 and 3 per cent. Start from a 3 per cent baseline, and to detect whether a change shifted conversion by 10 per cent you need roughly 50,000 visitors per version, by Evan Miller’s sample-size calculator, the tool most practitioners use. That is around 100,000 visitors for a simple two-way test. A store doing 30,000 visits a month is looking at about three months for a single clean result, and far longer for anything subtle. There is a trap in that wait, too: do not stop the moment the graph flashes significant, because peeking is one of the easiest ways to fool yourself. Pick your sample size in advance and let it run.

The tool is rarely the bottleneck. Traffic is. Which has two consequences. First, run fewer, higher-conviction tests rather than spraying variants at the wall. Second, before you pour a quarter of a year of traffic into proving the wrong idea, get a read on whether the idea is worth testing at all.

This is the one spot where my own company is the honest fit, so I will flag the bias and keep it short. With TestFeed you can put a concept, a product, an ad, a claim, a name or an in-context price in front of shoppers before you build the variant, and get back a purchase-intent read, the reasons in the shoppers’ own words, and a clear next move, in days rather than weeks. It is a pre-spend, directional signal, not a sales forecast, and not a substitute for a live test once you have the traffic to run one. Use it to decide which one or two ideas deserve a live test, check your audience assumptions early, then let Rollouts or an app prove the winner on real buyers. For bigger swings like a new product or positioning, the same logic applies through concept testing before you build.

Google Optimize alternatives compared (2026)

All prices are entry-level and in US dollars, and they move, so confirm on each vendor’s own page before you commit.

What you used Optimize forBest 2026 replacementPrice modelWatch-out
Theme and layout tests on ShopifyShopify Rollouts (native)Included; experiments need Grow planNo price testing, needs traffic
Free A/B testing off ShopifyGrowthBook or PostHogFree self-host / free tierSetup effort; usage-based at scale
A near drop-in free landing-page toolMidaFreeSmaller vendor, lighter feature set
A full CRO platformVWO or Convert~199 to 665+/mo, by tracked usersCost climbs with traffic
Enterprise experimentationOptimizely or AB TastyCustom quoteOverkill for one storefront
Price and margin testingIntelligems499/mo (price tier)Needs volume to resolve
Cheaper price and theme testsShoplift or ABConvert~74 to 199/moLess depth than Intelligems
Knowing an idea is worth testingA pre-spend readDirectional, pre-spendSignal, not a live-traffic result

How to choose, in three questions

Are you on Shopify? Then try native Rollouts before you pay for anything. For layout, content and theme tests it is free with your plan and runs without flicker. You may not need a second tool at all.

Are you testing layout, or price? Layout, content and design go to Rollouts, VWO or Convert. Price and margin go to Intelligems, ABConvert or Shoplift’s higher tiers. And if you do not yet know your price range, discover it before you test it, not by burning live traffic on guesses.

Do you have the traffic? Be honest about your monthly conversions. If you cannot reach significance inside a sensible window, a live test will run for months without an answer. In that case a pre-spend read gets you a direction in days, and you save the live test for the one change worth the wait.

Frequently asked questions

Is there a free alternative to Google Optimize?

Yes. On Shopify, native A/B testing through Rollouts is included with your plan, with experiments available on the Grow plan and higher. Off Shopify, GrowthBook is free and open-source when you self-host, PostHog has a generous free tier that includes experiments, and Mida offers a free tool that reports into Google Analytics 4. VWO’s long-standing free plan is being retired in 2026.

What replaced Google Optimize?

Nothing from Google directly. Google retired Optimize and Optimize 360 on 30 September 2023 and now invests in third-party A/B testing integrations for Google Analytics 4, so you run the experiment in a separate tool and read the results in GA4.

Does Shopify have built-in A/B testing?

Yes, since 2026. Shopify’s native Rollouts feature runs server-side A/B tests on your theme and checkout configuration from the admin, with experiments available on the Grow plan and above. It does not test individual product prices or discounts.

What is the best Google Optimize alternative for a small store?

For most small Shopify stores, start with native Rollouts, which is free with your plan, or a free tool such as PostHog. Then be realistic about traffic: a clean A/B result needs thousands of conversions, so a pre-spend read is often the faster first step.

Can I still use Google Optimize?

No. Optimize and Optimize 360 stopped working on 30 September 2023, and any experiments and personalisations still running ended that day. Any list that still recommends Optimize is out of date.

The one-line version

On Shopify, the best Google Optimize alternative in 2026 is usually the one already in your admin: native Rollouts for layout and content, a focused app when you need to test price, and a pre-spend read before either, so you are not spending three months proving something you could have known in three days.

Millie Marconi

Written by

Millie Marconi

CEO & Co-Founder, TestFeed

Millie is a market researcher and former ecommerce store owner who has worn just about every hat in marketing. She writes about AI, customer research and ecommerce.

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