Shopify Rollouts · A/B Testing · 2026
Shopify Rollouts A/B Testing: Which Plan, What It Can Test
Last verified: September 3, 2026, against the Shopify Help Center, the Shopify changelog, and each app's Shopify App Store listing.
Shopify Rollouts is Shopify's built-in A/B testing, included in the subscription with no add-on fee. Rollouts themselves are available on the Basic plan or higher, but the traffic split that turns a rollout into an experiment needs the Grow plan or higher (Shopify Help Center, read September 3, 2026). Each rollout can test one main-theme change and one checkout and accounts change, and it reports conversion, bounce, add-to-cart and reached-checkout rates with no significance test, so you compute that part yourself.
Which plan unlocks the traffic split, exactly what a rollout can and cannot change, how to turn its analytics into a real significance read, and where Shoplift, Intelligems and SimGym fit. Every fact carries its source.
Search "Shopify Rollouts" and you get four answers to the plan question. Google's AI summary says Advanced. One agency guide says Advanced. Another says early access on every plan. The Help Center says Grow. They cannot all be right.
So this page does one thing the others do not. Every claim was checked against the Shopify Help Center, the Shopify changelog, and the three most-read agency teardowns on September 3, 2026, and the source is named next to each fact. Any figure that could not be traced to a page read that day was cut.
Rollouts is Shopify's built-in way to schedule a set of theme or checkout changes and, on the Grow plan or higher, to show those changes to only part of your traffic as an experiment. It is included in the subscription, it runs on Shopify's side, and it reports metrics without ever telling you whether a gap between two versions is real.
What is Shopify Rollouts?
TL;DR A rollout is a scheduled set of changes to your main theme, your checkout and accounts pages, or both. Below 100% reach it becomes an A/B test that Shopify calls an experiment.
The Help Center's own definition is the cleanest one available: "A rollout is a scheduled set of changes to your online store's main theme, your checkout and accounts pages, or both." You build the changes, decide who sees them and when, and decide whether they stick or revert at the end.
You find it under Markets > Rollouts in the admin. That placement confuses people who expect an A/B tool to live under Online Store. It sits under Markets because a rollout can carry changes to the theme and to checkout together, and because it can be scoped by market.
There are two rollout types, and the whole plan-gating debate turns on the difference between them (Shopify Help Center, rollout types):
- Launch. "The default type of rollout. This type of rollout has no change-level traffic split." Every eligible visitor sees the change, either immediately, gradually, or on a schedule.
- Experiment. A rollout that "lets you adjust the subset of eligible visitors that changes are displayed to." It shows a treatment to some visitors and the control to the rest, so you can compare them. "Your store must be on the Grow plan or higher to run experiments."
Four terms carry the feature. Launch reach is "the percentage or total number of store visitors who will experience a rollout." Control is "the unmodified version of your changes, and the existing experience you're testing against." Treatment is "the group of customizations applied to the rollout." Roll back is "the automated process for reverting customizations after a rollout reaches its predetermined end date and time." All four definitions are from the rollout-types page.
The A/B behaviour was there from the first announcement. Shopify's Winter '26 Edition page, dated December 10, 2025, describes Rollouts as a way to "stage a set of changes to your online store and schedule it for a specific time," then adds: "you can control the percentage of traffic you want the rollout to apply to. This in effect turns a rollout to an A/B test." The June 5, 2026 changelog post, "Schedule, publish, and A/B test new themes and checkout and customer account configurations," widened it to whole-theme swaps, checkout and customer account configurations, and localized content per market, and noted that Shopify creates automatic copies of the published theme and configuration so you can keep editing the live version while an experiment runs.
Which Shopify plan do you need for Rollouts?
TL;DR Basic or higher to create and schedule rollouts. Grow or higher to run experiments, which is the A/B part. Advanced and Plus are not named in the requirements.
Two sentences on the Help Center's requirements page settle it. "Rollouts are available on the Basic plan or higher." "Experiments are available to stores on the Grow plan or higher." Everything else you have read about Advanced or Plus is either older than that wording or copied from something that was.
Here is the same thing as a table, with the date it was read and the exact source line, so you can check whether it has moved since.
| What you want to do | Plan needed | Help Center wording (read Sept 3, 2026) |
|---|---|---|
| Create, schedule, and publish a rollout (a launch) | Basic or higher | "Rollouts are available on the Basic plan or higher." (requirements and considerations) |
| Run an experiment (split traffic between treatment and control) | Grow or higher | "Experiments are available to stores on the Grow plan or higher." (requirements and considerations); "Your store must be on the Grow plan or higher to run experiments." (rollout types, create a rollout, and analytics pages) |
| See rollout analytics | Same as the rollout type; experiments need Grow | The analytics page carries a "Plan requirement" heading with the same Grow sentence for experiments. (rollout analytics) |
| Pay an add-on fee | None | No fee is mentioned on any Rollouts page. The feature is part of the admin. |
| Be on Advanced or Plus | Not required | Neither plan is named on the requirements page. Plus is relevant only to how much you can customize checkout, which is a separate feature. |
Plan names and prices are shown by region on shopify.com/pricing. This page names the tier and deliberately does not quote a dollar price for Grow, because the pricing page serves local currency by location and we could not verify a USD figure on the verification date.
Why the web disagrees
The disagreement is a timeline, not a mystery. Conspire's teardown, published February 20, 2026, says "the early access release is available across Shopify plans, but the full feature set is weighted toward Shopify Plus." That was true of the early-access build. Charle's guide, last updated April 12, 2026, says "to actually split traffic between a variant and your control version... you need an Advanced plan or higher," and that on "Basic or standard Shopify plans, you can create and schedule rollouts but won't have access to experiment features." Shoplift's March 23 post names no plan at all.
By September 3, 2026, the Help Center says Grow on four separate pages: requirements and considerations, rollout types, create a rollout, and rollout analytics. Grow is the second of Shopify's four main tiers, listed in the order Basic, Grow, Advanced, Plus on the pricing page. Google's AI summary currently repeats the Advanced claim, most likely because it learned from the April-era guides. If you are on Grow and see the experiment option greyed out, check your user permissions before assuming the plan is wrong.
Basic: create, schedule, publish, roll back. Grow and up: everything on Basic plus experiments with a traffic split. Source: Shopify Help Center, read September 3, 2026.
Permissions, not just plans
Plan is the first gate; user role is the second. Per the requirements page, the store owner, organization owner, and Administrator roles can manage rollouts. Staff on custom roles need "Markets > Rollouts store permissions," plus "Online store > Themes permission to replace and edit themes" for theme changes, "View and edit checkout and customer accounts" for checkout changes, and either "Manage and install apps and channels" or "Translate & Adapt" for the content-change path. If a marketer on your team cannot see the feature, this is usually why.
What can you test with Shopify Rollouts, and what can't you?
TL;DR One theme change and one checkout and accounts configuration change per rollout, on Online Store 2.0 themes, on Shopify's own checkout. Not prices, not Liquid, not headless, not vintage themes.
The rollout-types page is precise about the unit of change: "one change per category." The categories are Online store theme and Checkout and accounts. Everything Rollouts can and cannot do follows from that.
On the theme side you choose one of two modes. Edit main theme lets you make theme editor changes to a copy of your live theme; the docs note it does not support content changes. Replace main theme swaps in a different theme entirely and does support content changes "via compatible translation apps," which is how the localized-copy tests in the changelog work. On the checkout side there is one mode, Replace configuration, which swaps the checkout and customer accounts configuration you built in the checkout editor.
The requirements page then draws the hard lines. "Rollouts support only online store checkouts. Headless and custom storefront checkouts aren't supported and can't be tested with rollouts." "You can't apply rollouts to vintage themes." "You can't change Liquid templates as part of a rollout."
| Change | Testable? | Basis |
|---|---|---|
| Theme editor changes on your main theme (sections, layout, hero, navigation, collection grids, product page arrangement) | Yes | "Edit main theme" change type (rollout types) |
| A completely different theme against your current one | Yes | "Replace main theme" change type (rollout types); "A/B test entirely different themes" (changelog, June 5, 2026) |
| Localized copy or content per market | Yes, with Replace main theme | "Supports content changes via compatible translation apps" (rollout types); "test different CTA text for each region" (changelog) |
| Checkout and customer accounts configuration | Yes | "Replace configuration" change type (rollout types); checkout conversion rate metric for checkout experiments (analytics) |
| Product prices or discount rules | No | Not a rollout change type on any Help Center page. Listed as untestable by Conspire (Feb 20, 2026) and Charle (Apr 12, 2026). |
| Liquid template edits | No | "You can't change Liquid templates as part of a rollout." (requirements) |
| Headless or custom storefront checkouts | No | "Headless and custom storefront checkouts aren't supported and can't be tested with rollouts." (requirements) |
| Vintage (pre-Online Store 2.0) themes | No | "You can't apply rollouts to vintage themes." (requirements) |
| Global theme settings (colors, typography) and app embeds | Reported no | Not addressed on the Help Center. Conspire and Shoplift both report these apply to both arms and cannot be split. Verify in your own admin. |
| Audience segments (device, new vs returning) as a targeting rule | No | Reach is a percentage of eligible visitors and market scope; no segment targeting appears in the create-a-rollout steps. |
"Yes" and "No" rows quote the Help Center. "Reported" rows come from agency teardowns and were not confirmed on a Shopify page.
The practical reading: if you can make the change in the theme editor or the checkout editor, Rollouts can split it. If it lives in code, in pricing, or in an app's settings, it cannot.
How do you set up a Rollouts experiment?
TL;DR Markets, Rollouts, Create rollout, add one change, set a percentage under 100%, set a start and end date, choose revert or apply permanently. Do not launch immediately if you want data.
The create-a-rollout page reads as eight clicks. The decisions hidden inside them are what make or break the test.
- "From your Shopify admin, go to Markets > Rollouts."
- "Click Create rollout."
- "In the Name section, add a name for the new rollout."
- "Click Add changes to your store," then "select the type of change that you want to add." One theme change, one checkout and accounts change, or both.
- "Click Changes will publish to all visitors" to open the reach control. The default reads "100% of eligible visitors will see this." To make it an experiment, "select a percentage of eligible visitors."
- "Click Select launch date and time." The rule: "If the rollout launches to less than 100% of visitors, then you must also select a start date and an end date."
- "Click Add end date." Then pick what happens at the end: "You can choose to revert the rollout, or to apply it permanently. By default, the rollout reverts."
- Save or schedule.
Three rules from the same page decide whether you get usable data. First, "If the launch reach is set to 100%, then you can launch the rollout immediately," and only then; an experiment always needs dates. Second, "If you launch your rollout immediately, or set the rollout to apply changes permanently after it ends, then you can't revert the changes." Third, from the analytics page: "If you choose to launch a rollout immediately, then no analytics are collected for the rollout." Immediate launch is a deploy, not a test.
Reach, split, and what the two arms actually receive
Two percentages stack. Launch reach decides what share of all visitors are eligible for the rollout. The experiment's eligible-visitor percentage then decides what share of those see the treatment. The analytics page gives the worked example: "if you set the launch reach to 50%, and set the percentage of eligible visitors to 50%, then the percentage of eligible visitors for the experiment is 50% of the launch reach's total eligible visitors." So a quarter of your traffic sees the treatment, a quarter is the control, and half is outside the rollout entirely.
Overlapping rollouts share traffic. The managing-rollouts page states that "a visitor can only be assigned to one rollout at a time for a given resource," that "you can run multiple experiments on the same resource simultaneously," and that "effective traffic is calculated proportionally based on the percentages in your rollout configurations, so the total is 100%." Its examples: four overlapping rollouts each at 100% reach get 25% each; two overlapping checkout rollouts at 60% and 100% reach give the first an effective 37.5%. That is the mutual exclusivity the June 5 changelog promised, and it means a second experiment quietly shrinks the first one's sample.
One more sentence from the managing page is worth pinning above your desk: "editing the treatment or control copy when the experiment is active can affect experiment results." Build both versions, check them, then leave them alone until the end date. Rollout statuses are Draft, Scheduled, Active, Paused, and Ended, and "if a rollout is active and you want to end it before its scheduled time, then you can manually end the rollout." When it ends, "you must roll back the changes or apply the changes permanently," and "after you apply a rollout, you can't revert the changes."
Set the end date from the sample size you need, then leave both arms untouched until it arrives.
How do you read Rollout analytics?
TL;DR Fixed metrics per rollout type. Behavior rates for experiments, sales figures for launches. No significance, no winner, no revenue per visitor documented.
The rollout analytics page is a table of metrics by resource and rollout type, and it says up front: "You can't customize the available metrics for your rollout." What you get is what is listed.
For an online store theme launch, the page lists gross sales ("product price x quantity, before taxes, shipping, discounts, and sales reversals"), average order value, orders, total sales over time, sessions over time, conversion rate over time ("percentage of online store sessions that lead to an order over time"), new vs returning customers, bounce rate ("percentage of online store visits that ended after a single pageview"), and a conversion rate breakdown.
For an online store theme experiment, the version of the page we read lists conversion rate over time, bounce rate, reached checkout rate ("sessions that reached checkout / sessions"), and add to cart rate. For a checkout and accounts launch it adds checkout conversion rate ("online store sessions with completed purchases relative to the visits that reached checkout"), and for a checkout and accounts experiment it lists checkout conversion rate. Combined rollouts combine the two lists.
Now the absences, which matter more. The analytics page does not use the words significance, confidence, p-value, winner, uplift, or revenue per visitor anywhere. It does not say how long results take to appear. It does warn that "if you run the same set of changes as a launch rollout and an experiment, then the results for the same metrics might differ," which is Shopify's way of saying the experiment numbers are computed on the experiment's eligible visitors, not the whole store.
The teardowns disagree about what the dashboard itself shows. Shoplift's March 23 post says Rollouts displays "confidence intervals on behavioral metrics" for conversion rate, add-to-cart, reached checkout, and bounce rate, and that "revenue-side metrics don't get statistical framing." Charle describes "confidence interval ranges" on its metrics. Conspire, writing in February, says "no confidence intervals, no segmented breakdowns, limited export options." The honest summary: a range around the behavior rates may be visible in your dashboard, Shopify does not document it, and nobody claims Rollouts calls a winner or frames revenue statistically.
Rollouts tells you what each version's visitors did. It does not tell you whether the difference would survive a second run. That part is still your job.
How do you compute significance from Rollout numbers?
TL;DR Take sessions and conversion rate per arm, turn them into conversions, and run a two-proportion test. Decide the sample size before you start, and do not stop early because the dashboard looks good.
Rollouts gives you enough raw material to do the statistics properly. It just does not do them for you. Here is the routine that turns the dashboard into a decision.
Step 1: decide the sample size before the start date
Open the required sample size section of our statistical significance calculator, enter your baseline conversion rate and the smallest lift you would act on, and read off the sessions per variant it demands. Then look at the days estimate at your traffic. That number, not a round "two weeks," is your end date. If the calculator says your store cannot reach it in a reasonable window, read what to do when your store is too small to A/B test before you spend a rollout on it.
Step 2: pull the four numbers
From the experiment analytics, for each arm, note sessions and conversion rate. Multiply them to get conversions: 20,000 sessions at a 2.0% conversion rate is 400 orders. If your dashboard shows the count directly, use the count. Those are illustrative figures, not Shopify data.
Step 3: run a two-proportion test
Enter visitors and conversions for control and treatment into the calculator. It returns a two-tailed p-value, a confidence interval on the lift, and, when the sample is short of what step 1 required, a plain "not enough data yet" instead of a number you might act on. The math is written out on that page so you can check it by hand.
Step 4: read the interval, not the point
A treatment at 2.3% against a control at 2.0% reads as a 15% relative lift. The interval around that lift is what you can honestly claim. If it spans zero, you have not learned which version is better. If the calculator says not yet, extend the end date rather than eyeballing the chart.
Step 5: do not peek
Rollouts shows metrics "over time," which invites a daily look. Every early look at a live test and every "it's winning, let's stop" raises the chance you ship noise. The calculator page explains the mechanism in the peeking problem. Set the end date, let the roll back or apply decision happen on that date, and read the numbers once.
Two Rollouts-specific cautions. Because reach and split stack, the two arms can be unequal in size, so use each arm's own sessions, not the store total. And because a second overlapping experiment reallocates traffic proportionally, your end date estimate goes stale the moment you schedule one.
Shopify Rollouts vs Shoplift vs Intelligems vs SimGym
TL;DR Rollouts is the free native splitter for theme and checkout configuration. Shoplift and Intelligems are paid apps that add price tests and statistics. SimGym simulates shoppers instead of testing on real ones.
The three names Google puts next to "Shopify Rollouts" are two apps and one Shopify research preview. They do different jobs, and the prices below are what each App Store listing showed on September 3, 2026.
| Tool | What it is | Splits real traffic? | Price tests | Statistics shown | Price | Source |
|---|---|---|---|---|---|---|
| Shopify Rollouts | Native admin feature: schedule, publish, and experiment on theme and checkout configuration | Yes, on Shopify's side, whole theme version or checkout configuration | No | Metrics only; no documented significance, winner, or revenue per visitor | No add-on fee; experiments need Grow or higher | Shopify Help Center |
| Shoplift | App: template, theme, and URL tests with segmentation | Yes | Beta, on the Advanced plan | "Bayesian predictive analysis," one-click "Apply Winner" | Core $99/mo or $888/yr (from $74/mo billed annually); Advanced $399/mo or $3,588/yr (from $299/mo annually); Pro $999/mo or $8,388/yr (from $699/mo annually); visitor-metered; 14-day free trial | Shopify App Store listing; shoplift.ai/pricing |
| Intelligems | App: price, discount, shipping, content, checkout, and post-purchase tests | Yes | Yes, Smart Pricing in the Unlimited tier | "See profit per visitor on every test" | Smart Content $69/mo or $660/yr; Smart Merchandise $112.10/mo; Smart Shipping $112.10/mo; Unlimited $349/mo or $3,468/yr on the App Store listing. intelligems.io/pricing scales Unlimited with order volume, up to $2,894/mo at 200,000 orders. 14-day trial | Shopify App Store listing; intelligems.io/pricing |
| Shopify SimGym | Shopify app in AI Research Preview: AI shoppers simulate a theme before you publish it | No, simulated visitors only | No | Which theme has the higher simulated add-to-cart rate, plus a written report | Free to install; 1 credit per single theme analysis, 2 per theme comparison; "credits can't be purchased"; free credits may be granted during the preview | Shopify Help Center, SimGym; App Store listing |
Full breakdowns: Shoplift vs Intelligems, Intelligems pricing, every tier, and how accurate SimGym's AI shoppers really are.
Rollouts vs Shoplift
Shoplift's own post on Rollouts, dated March 23, 2026, argues that Rollouts is "a controlled deployment tool" and "not A/B testing." The distinction it draws is real: Shoplift tests at the template and URL level, segments by device and region on Advanced, and wraps every test in Bayesian analysis with an apply-winner button. Rollouts tests a whole theme version with a fixed metric list, for nothing extra, on Shopify's servers. One clear theme change on a Grow store favors Rollouts. A test every fortnight across segments favors Shoplift. Our Shoplift vs Intelligems comparison covers where each app earns its fee.
Rollouts vs Intelligems
These barely overlap. Intelligems' App Store description is "A/B test prices, discounts, content, shipping, checkout, post-purchase, and more with AI," and the thing it is known for, price testing, is the thing Rollouts structurally cannot do. If your question is "does $34 or $39 make more profit," Rollouts has no answer; Intelligems Unlimited does, at $349 a month on the App Store listing. If your question is "does the new product page layout convert better," Rollouts answers it for free. Many stores that test prices at all will end up using both. The Intelligems pricing breakdown covers what each module unlocks.
Rollouts vs SimGym
SimGym is the one people mistake for a testing tool. The Help Center defines it as "a Shopify app in AI Research Preview that uses AI-powered shoppers to simulate buyer behavior on your online store." It needs a Liquid storefront, Shopify Network Intelligence activated, a store that is not in private mode, and at least one product. A theme comparison reports which theme had the higher add-to-cart rate among the AI shoppers. The same page carries the caveat that matters: "Simulations use AI shoppers that mimic real buyer behavior, but results might differ from actual buyer behavior." It went to research preview for all eligible merchants on March 11, 2026, per the changelog, and its App Store listing sat at 2.8 out of 5 from 37 reviews on the day we checked. Use it to catch a broken flow before a rollout; do not use it to decide a winner. We tested the accuracy question directly in Shopify SimGym: how accurate are the AI shoppers, really?
The honest verdict on Shopify Rollouts
Rollouts is the right default for a theme or checkout configuration test on any store at Grow or above, and it is not a reason to cancel an app that does something it cannot.
What it does well, it does better than any app: the split happens on Shopify's side, there is no script to load and no flicker to mask, the treatment is a real theme copy you edit in the editor you already know, roll back is automatic on the end date, and the price is zero.
What it leaves out is everything after the split. It will not tell you whether a 2.3% against 2.0% result is real, will not compute revenue per visitor, will not segment beyond market, will not touch price or discount logic, and will not warn you when you have peeked one time too many. On a store with enough traffic and someone willing to run the numbers through a calculator, that is a manageable gap. On a store with thin traffic, it is the whole problem, and no splitter solves it.
Rollouts is one piece of Shopify CRO. Knowing what to put in the treatment is the larger piece, and the highest-value candidates are still on the product page and in the cart. If you would rather see the significance math before you commit a rollout to it, start with the statistical significance calculator.
Shopify Rollouts FAQ
Is Shopify Rollouts free?
There is no add-on fee. Rollouts is part of the Shopify admin, and the Help Center states that rollouts are available on the Basic plan or higher. The A/B part is plan-gated, not fee-gated: the same page says experiments are available to stores on the Grow plan or higher. So scheduling and publishing a rollout is included on every plan from Basic up, and splitting traffic between two versions needs Grow or above (Shopify Help Center, requirements and considerations, read September 3, 2026).
Which Shopify plan do I need for Rollouts A/B testing?
Grow or higher. The Help Center's rollout-types page says your store must be on the Grow plan or higher to run experiments, and an experiment is the rollout type that splits traffic between a treatment and a control. Grow is the second of Shopify's four main tiers (Basic, Grow, Advanced, Plus). Guides that say Advanced were written before the Help Center wording settled, or copied each other (Shopify Help Center, rollout types, read September 3, 2026).
Do I need Shopify Plus or Advanced to use Rollouts?
No. Plus and Advanced are not named anywhere in the Rollouts requirements. The two plan lines on the requirements page are Basic or higher for rollouts and Grow or higher for experiments. Google's AI summary and several agency posts say Advanced; the Help Center does not. What Plus stores get that others do not is unrelated to Rollouts: deeper checkout customization through checkout extensibility, which is a separate feature (Shopify Help Center).
Can Shopify Rollouts test prices or discounts?
No. A rollout carries theme changes and checkout and accounts configuration changes. Product prices and discount rules are not part of either, so there is nothing for the split to act on. The Help Center never lists pricing as a rollout change type, and the Conspire and Charle teardowns both list price and discount tests as things Rollouts cannot do. For price tests you need an app that changes the price a visitor sees, such as Intelligems (Smart Pricing sits in its Unlimited tier) or Shoplift (price testing in beta on its Advanced plan), per each app's Shopify App Store listing.
Can Rollouts A/B test the checkout?
Partly. Rollouts supports a checkout and accounts change type that replaces the checkout and customer accounts configuration, and the analytics page lists a checkout conversion rate metric for checkout experiments. Two limits apply: the Help Center says rollouts support only online store checkouts, so headless and custom storefront checkouts cannot be tested, and what you can vary is the configuration you build in the checkout editor, not the checkout code itself (Shopify Help Center, requirements and analytics pages).
How long should a Rollouts experiment run?
Long enough to reach the sample size you calculated before you started, and at least one full week so weekday and weekend shoppers are both in the data. Rollouts forces a start and end date on any rollout below 100% reach, so pick the end date from the required sample size, not from a round number. Our statistical significance calculator returns the sessions per variant you need at your baseline conversion rate and how many days that takes at your traffic. Shopify itself publishes no minimum duration for experiments.
Does Rollouts tell me if a result is statistically significant?
Not in the documentation. The rollout analytics page lists the metrics for each rollout type, defines them, and states you cannot customize them. It does not mention significance, p-values, a winner, or revenue per visitor. Some teardowns report a confidence range on the behavior metrics in the dashboard; Shopify does not document one. Treat the dashboard as raw numbers and run them through a proper two-proportion test yourself (Shopify Help Center, rollout analytics, read September 3, 2026).
Shopify Rollouts vs A/B testing apps: do I still need Shoplift or Intelligems?
Only for what Rollouts cannot do. Rollouts splits whole theme versions and checkout configurations, server-side, at no extra cost on Grow and up. Shoplift adds template and URL tests, Bayesian analysis, segmentation, and price testing in beta, from $99 a month. Intelligems adds price, discount, shipping, and profit-per-visitor tests, from $69 a month for content tests and $349 a month for the Unlimited tier that includes Smart Pricing. If your test is a theme or checkout configuration change and you are on Grow or higher, start with Rollouts (prices from each app's Shopify App Store listing, September 3, 2026). See Shoplift vs Intelligems.
What is the difference between Shopify Rollouts and SimGym?
Rollouts shows two versions to real shoppers and reports what they did. SimGym shows an unpublished theme to AI shoppers and reports what the simulation predicts. SimGym is a Shopify app in AI Research Preview: a single theme analysis costs one credit, a theme comparison costs two, credits cannot be purchased, and the Help Center warns that results might differ from actual buyer behavior. Use SimGym to catch obvious problems before a rollout; use Rollouts to find out what real visitors do (Shopify Help Center, SimGym page). More in our SimGym accuracy review.
Where is Rollouts in the Shopify admin?
Markets, then Rollouts. Every Help Center page on the feature starts from the same path: from your Shopify admin, go to Markets and then Rollouts, then click Create rollout. The feature covers your main online store theme and your checkout and accounts pages, which is why it sits under Markets rather than under Online Store (Shopify Help Center, create a rollout).