I Tried Shopify Rollouts A/B Testing. It's Not Ready Yet

Shopify shipped native A/B testing. It’s called Rollouts. It lives under Markets > Rollouts in your admin. It’s free.

I run a Shopify store. I’ve been paying for Convert.com on it. When Rollouts showed up on my plan, I figured I’d try it on a homepage test I’d been planning. I closed the tab without launching the test. Here’s why.

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Updated October 2026: Shopify extended Rollouts to discounts on 2 October 2026, so there is a new section on that below. The competitor comparison now names tools and prices instead of saying "a dedicated testing tool", and the reporting criticism has been revised, because what Rollouts shows appears to have changed since August.

What it does

Rollouts is two things stitched together: scheduled deployment and A/B testing.

Shopify Rollouts interface in the admin

The deployment part is the boring useful one. You make changes to a copy of your theme, decide what percent of traffic sees them, and Shopify handles the split server-side. No JavaScript flicker, no anti-flicker snippet, no app overhead. You can schedule it to start at a date, end at a date, and auto-rollback when it ends. So if you want to push a Black Friday homepage on November 25 and let it expire on December 1 without anyone touching anything, you can.

You can do this for two things: your theme, or your checkout and accounts pages.

Shopify Rollouts experiment configuration

The A/B testing part is called an Experiment. You set up a control (your live version) and a treatment (your variant), split traffic between them, and Shopify reports which one converts better.

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Experiments need the Grow plan or higher. Basic and Shopify plans get rollouts but not Experiments, so if you're on Basic and turn on Rollouts hoping to A/B test your hero, you can't.

I’m on Grow. I had access. I planned a test. Then I read the actual feature.

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Credit where it's due: the server-side split is genuinely better than what most third-party tools do client-side. No flicker, nothing to load, no anti-flicker snippet, no impact on Core Web Vitals. If your only complaint about testing tools has been page weight, Rollouts solves that outright.

What it doesn’t do

Two things. Both are dealbreakers for the kind of testing I actually want to run.

Rollouts reports only a control and treatment conversion rate, with no add to cart, checkout, revenue per visitor or significance, so you cannot tell 2.1% from 2.3%, while a funnel view would tell you whether the hero worked and something downstream is killing it

It can’t exclude countries at the test level. The store I run is US-only. About 5% of our traffic comes from Asia, people who land on the site through who-knows-what, browse for a minute, and leave because we don’t ship there. Convert lets me exclude that audience from the test. Rollouts doesn’t.

It lets me target a Shopify Market, which is a different thing. If I’d configured an Asia market, I could exclude that market. But our Asia traffic isn’t shopping a configured market. It’s incidental traffic landing on the US store, and there’s no way to keep them out of the test.

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5% noise hides the wins you are looking for. Real A/B tests resolve to small lifts, 3% or 5%. If 5% of your data is people who were never going to buy, the variant that randomly gets more of them looks worse, and you declare a winner based on noise.

The reporting is thin, and it is a moving target. When I ran my test, a theme experiment gave me one number. “Control: 2.1%. Treatment: 2.3%.” No Add to Cart, no Checkout, no revenue per visitor.

As of October 2026 that appears to have improved for theme experiments, with bounce rate, add to cart rate and reached checkout rate now reported alongside conversion rate. Checkout and accounts experiments still return a single conversion number. I have not re-run a test since, so check your own admin before taking my word for it, and treat any blog post about this feature, including this one, as perishable.

What has not changed is the part that matters most.

Rollouts still does not show statistical significance, and Shopify’s documentation does not describe how it would be shown.

If I run a homepage test in Convert, I see whether the variant moved Add to Cart, moved Checkout, moved purchases, or moved none of them, and whether the gap is real:

  • Add to Cart up, purchases flat: the hero worked and something downstream is killing it.
  • Purchases up, Add to Cart flat: probably variance.

Rollouts collapses all of that into one number, and the only thing I can do with one number is shrug. Without funnel data, you don’t know why anything happened. You just know it happened. CRO without why is just guessing.

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Worth knowing before you blame the tool: Convert reports that across more than 28,000 tests run on their platform, roughly one in five reached statistical significance. Better tooling doesn't manufacture winners. It tells you faster when you don't have one, which is most of the time.

The October addition: discount testing

On 2 October 2026 Shopify extended Rollouts to discounts, which is the first time the feature has reached past themes and checkout.

Discount Rollouts has two modes: an experiment that splits traffic between two offers 50/50 by default for seven days or more and needs the Grow plan, and a scheduled rollout that widens one offer up to 100% of visitors with automatic rollback on Basic and above. Conversion rate is the only metric and the online store is the only channel

There are two modes and only one of them is a test.

Experiment splits traffic between two different offers, defaults to 50/50, and wants seven days or more to collect enough conversions. This needs the Grow plan or higher, same as theme experiments.

Scheduled rollout takes one offer and widens it from a share of visitors up to everyone, with automatic rollback. That is deployment, not comparison, and it runs on Basic and above.

Two caveats before you plan a Black Friday around it:

  • Conversion rate is still the only metric, so a discount that converts better but destroys your margin will be reported as the winner.
  • Online store channel only. Headless storefront and Shop app sessions are not in the numbers at all. Easy to miss, and it quietly invalidates the test if a meaningful share of your traffic is on Shop.

How to actually use it

If you want to try it anyway:

  1. Go to Markets > Rollouts
  2. Create rollout
  3. Pick what you’re changing, theme or checkout
  4. Edit the variant in the theme editor
  5. Set start and end dates
  6. For a deployment: set Launch reach (what % of traffic sees it)
  7. For an experiment: set control vs treatment split
  8. Pick which Markets it applies to
  9. Launch
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Permissions: store owner, admin, or the specific Markets > Rollouts permission on the store role, plus the permission for what you're changing (Online Store > Themes, or View and edit checkout). Handing it to a developer? Give them Markets > Rollouts specifically. General theme access isn't enough.

Where I’d actually use it

Honestly? Two scenarios.

Big visual changes you’re nervous about. You redesigned the homepage. You want to push it but you’re not sure. Roll it out to 10% of traffic for a week. Watch your real conversion rate (in Shopify, not in Rollouts). If it tanks, roll it back. This isn’t A/B testing, it’s a safety net for deployment. Rollouts is great for this.

Scheduled campaigns with auto-rollback. Seasonal sale, holiday landing page, BFCM hero. Push it on the start date, let it expire on the end date. You don’t have to remember to switch anything back.

For actual A/B testing, the kind where you have a hypothesis, want to know if it worked, and want to know why, Rollouts isn’t ready. Maybe in a year.

What I’d want Shopify to add

Three things, in order of importance:

  1. Country-level exclusion at the test level, not just Market targeting
  2. Funnel metrics, Add to Cart, Checkout, Purchase as separate numbers
  3. Confidence intervals on the results so you know if 2.1% vs 2.3% is actually different or just noise

The third one is the most embarrassing omission, honestly. Every other testing tool shows you whether the difference is statistically significant. Without that, “Treatment won by 0.2%” is a coin flip you’re treating like a result.

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If you're not sure how many visitors a test actually needs before the result means anything, work that out before you launch, not after two weeks of watching a number wobble. Convert publish a practical guide to statistical power that covers the sizing maths without requiring a stats background.

The comparison, with names on it

The honest version of this comparison is not Rollouts against “a dedicated testing tool”. It is Rollouts against a specific tool that costs a specific amount and does a specific job.

Entry prices as of August 2026: Shopify Rollouts included, Intelligems from $49, Shoplift from $74, Convert Experiences from $99, Visually on a free tier, VWO and AB Tasty free or around $393 paid. VWO and AB Tasty unified under the Wingify brand on 16 September 2026, and Shopify added discount testing on 2 October 2026, which overlaps what Intelligems sells

Entry priceWhat it is actually for
Shopify RolloutsIncluded, Experiments need Grow+Staging a change and releasing it safely
Intelligemsfrom $49 a monthPrice, shipping and discount testing, with cost of goods in the reporting
Shopliftfrom $74 a monthTheme editor native tests and AI generated variations
Convert Experiencesfrom $99 a monthDeep targeting and goal configuration, common at agencies
VisuallyFree tier, paid scalesFull funnel, homepage through post purchase upsell
VWO, now part of WingifyFree tier, paid from roughly $393Testing plus heatmaps, recordings and on-site surveys

Prices are entry tiers as listed in August 2026 and every one of them scales with traffic, so treat them as a starting point rather than a quote.

Two things that table makes obvious.

Intelligems is the one with a problem. Its core pitch is price and discount testing with margin-aware reporting, and Shopify just shipped discount testing for free. Intelligems still wins on the part Shopify ignored, which is profit: it knows your cost of goods, so it can tell you a discount that lifted conversion and lost you money. Rollouts cannot. But the gap is narrower than it was on 1 October.

VWO is priced for a different buyer, and it is no longer VWO exactly. On 16 September 2026, VWO and AB Tasty unified under a single brand, Wingify, which was already the company behind VWO. The combined business announced itself at more than $100 million in revenue, 4,000 customers and 700 staff across 11 offices.

Worth knowing if you are mid-contract or facing a renewal, because merged platforms tend to mean migrated accounts and re-priced tiers eventually. Around $393 a month against Convert at $99 is not a small difference, and most Shopify stores running a handful of tests a quarter are not the customer that pricing is built for. The heatmaps and session recordings are the reason to pay it. The split testing is not.

Who owns what: Wingify covers VWO and AB Tasty, Convert Experiences is run by Convert, and Intelligems, Shoplift and Visually are each independent. Convert is the only one to have published an analysis of this consolidation, worth reading if you are choosing a tool you want to still exist in two years.

The row that decides it for most people is not in the table: when a variation loses, “it lost” is not a finding. Tools that pair the result with heatmaps or session recordings tell you why. Rollouts tells you that it happened.

Rollouts against Convert, specifically

The six-tool table is useful if you are choosing from scratch. It is not the comparison I actually ran. I was already paying for Convert on this store, so the real question was whether I could stop.

Rollouts against Convert: Rollouts wins on server side splitting with no flicker, no install and being included in the plan. Convert wins on granular audience exclusion, full funnel reporting across add to cart, checkout and purchase, statistical significance, testing anywhere on the site, and explaining why a test lost

Rollouts wins the first three rows and it wins them clearly. The server-side split is better engineering than what a client-side tool does, there is nothing to install, and it costs nothing on top of a plan I already pay for. If those three were the whole question, Convert would be cancelled.

They are not the whole question, because every remaining row is some version of why did this happen.

Audience exclusion. Markets targeting is not test-level exclusion. I cannot drop 5% of noise traffic from a single experiment without changing how the store serves an entire region.

Funnel reporting. Convert tells me whether the variant moved add to cart, moved checkout, moved purchases, or moved none of them. That distinction is the entire lesson of a test. Rollouts has started reporting some of this on theme experiments, which is real progress, but it is not the same as choosing a goal and segmenting the result.

Significance. Convert shows it. Rollouts does not, and Shopify does not document how it would.

Scope. Convert tests things that are not the theme. Pricing, product page elements, anything the theme editor does not own.

One more thing, and it cuts against the tool I pay for rather than for it. Convert’s own published research is where the one-in-five significance number above comes from. A vendor publishing the statistic that most tests on their own platform are inconclusive is not the usual marketing instinct, and it is a better argument for taking testing seriously than any feature list.

Two Shopify-specific things worth knowing

These apply regardless of which tool you pick, and they cost people real money.

Uninstalling an app may not remove its code. Shopify’s own docs warn that some apps inject code into your theme that isn’t automatically removed on uninstall. If you’ve cycled through testing tools, there may be dead snippets in your theme right now. Tools that install via an app embed block instead of theme file injection avoid this entirely, because there’s nothing of theirs in the theme to leave behind or to clash on a theme update.

Shopify’s pixel sandbox constrains what any tool can track. App pixels run in a web worker with no window and no document, which means a testing tool can’t just read the variation off the page. It has to be handed that information deliberately, through first-party storage or cart attributes. Worth knowing when you’re comparing what different tools can and can’t measure on Shopify. It’s a platform constraint, not a vendor shortcoming.

Should you cancel the tool you are paying for?

If you’re paying for a testing tool and the only thing you use it for is splitting theme traffic 50/50 on the homepage, yeah, you could probably cancel and use Rollouts. Most stores I’ve seen using Convert use about 5% of what it does. They’re paying for features they never touch.

That’s a real criticism of how these tools get sold, not just of the buyers. Nobody needs six SDKs and a feature flagging layer to test a hero image.

If you’re running structured tests with audience exclusion, funnel analysis, custom events, or you’re testing anything outside the theme editor, pricing, product page elements without a theme variant, app behavior, keep paying. Rollouts won’t replace it. Not yet.

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Before you cancel anything, check three things: how many tests you actually ran last quarter, whether any of them needed audience rules Rollouts can't express, and whether you ever used funnel-level results to decide what to do next. If the answers are "two", "no" and "no", Rollouts is probably enough for you and you should keep the money.

If you are on Intelligems specifically, the October discount release is worth a closer look than the others. Shopify now does the splitting part for free, so the question becomes whether you are using the margin side, the part that knows your cost of goods and can tell you a discount won on conversion and lost on profit. If you are, keep it. If you have only ever used it to split two codes, Rollouts covers that now.

Don’t cancel your testing tool the day Rollouts shows up in your admin. That’s what Shopify is hoping you’ll do, and what every “Rollouts replaces VWO” agency post is trying to sell you on. It’s premature.

Whichever tool you test with, judge the result on the numbers that survive a month, and if the store is converting under 1 percent, fix the eight things first before testing anything.

Sources

Shopify’s own documentation does not describe how significance is reported, so the claims above about what Rollouts shows are drawn from the following, all of which are secondary and all of which were accurate to their publication date rather than to yours.


Want help figuring out whether Rollouts is enough for your store, or whether you need to keep paying for a dedicated tool? Book a Shopify CRO Audit. I’ll look at what you’re actually testing and tell you what fits.

Frequently asked questions

What is Shopify Rollouts?
A native feature under Markets > Rollouts that does two things: scheduled theme deployment with a traffic split and automatic rollback, and A/B testing via Experiments. The deployment side is available broadly. Experiments require the Grow plan or higher.
Is Shopify Rollouts free?
The rollout and scheduled deployment functionality is included in your plan at no extra cost. The A/B testing side, called Experiments, requires Grow or above. Basic and Shopify plans get rollouts without Experiments.
Where do I find Rollouts in Shopify admin?
Markets, then Rollouts. You need to be store owner or admin, or hold the specific Markets > Rollouts permission on your store role, plus the relevant permission for what you are changing such as Online Store > Themes.
Can Shopify Rollouts replace Convert, VWO or Intelligems?
For simple theme-level traffic splitting, often yes. For structured testing it does not yet cover audience exclusion at the test level, funnel-level metrics, or statistical significance reporting. Whether that matters depends on how you actually test, not on which tool is better in the abstract.
Can Shopify Rollouts A/B test discounts?
Yes, since 2 October 2026. There are two modes: an Experiment that splits traffic between two offers, defaults to 50/50 and wants seven days or more, which needs the Grow plan or higher; and a scheduled rollout that widens one offer up to 100% of visitors with automatic rollback, available on Basic and above. Conversion rate is the only metric reported, so a discount that converts better but costs you margin still shows as the winner, and the online store is the only channel covered, so headless and Shop app sessions are not counted.
What are the alternatives to Shopify Rollouts?
Entry prices as listed in August 2026: Intelligems from $49 a month for price, shipping and discount testing with cost of goods in the reporting; Shoplift from $74 for theme editor native tests; Convert Experiences from $99 for deep targeting and goal configuration; Visually on a free tier for full funnel and post purchase testing; and VWO, which unified with AB Tasty under the Wingify brand on 16 September 2026, with a free tier and paid plans from roughly $393, where the reason to pay is the heatmaps and session recordings rather than the split testing. All scale with traffic.
Does Shopify Rollouts show statistical significance?
Not at the time of writing. It reports a conversion rate per variant. Without a confidence interval or significance indicator, a small gap between control and treatment cannot be distinguished from normal variance.
Can I exclude countries from a Shopify Rollouts test?
Only by targeting Shopify Markets, which is a different thing from excluding traffic. If incidental traffic from a region lands on your primary market rather than a configured one, there is no way to keep it out of the test.
What is Rollouts actually good for?
Two things it does well: staged deployment of a change you are nervous about, and scheduled campaigns with automatic rollback. Both are deployment safety, not experimentation, and it handles them cleanly with no flicker and no app overhead.
Do most A/B tests reach statistical significance?
No. Convert reports that across more than 28,000 tests run on their platform, roughly one in five reached statistical significance. That is worth knowing before you assume better tooling alone will produce more winners.
Nikhil Sharma

Nikhil Sharma

Nikhil Sharma runs data and operations for a DTC brand on Shopify and consults for Shopify brands on Meta and Google ads, conversion and AI automation. He writes case studies and implementation guides from accounts and systems he has run himself.

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