Pricing · Optimizely · 2026
Optimizely Pricing 2026: Real Costs, Shopify Included
Last verified: September 3, 2026
Optimizely publishes no prices; its plans page says every plan is individually packaged. The most repeated third-party entry estimate is about $36,000 a year, the only traceable figures are Convert's June 2020 table at $63.7K for Web Testing Business and $113.1K for Enterprise, and Vendr's median signed contract is $81,447 a year across 126 purchases (updated February 2026). A Shopify store adds a $29 to $299 a month connector app or a manual theme edit on top, with no checkout coverage.
Optimizely publishes no prices. This page traces every third-party estimate to the oldest page it appears on, breaks the cost down by product, and then adds what a Shopify store pays on top: the connector app, the theme edit, the missing checkout coverage, and the traffic that decides whether any of it produces a winner.
Optimizely does not tell you what Optimizely costs. Open its plans page today and the whole answer is one sentence: "Every Optimizely plan is individually packaged. Tell us a bit about your digital needs, and we'll create a plan together." Two buttons follow, "Request a demo" and "Get started" (optimizely.com/plans, checked 3 September 2026). No tiers, no ranges, no per-visitor rate card. The older /pricing URL still loads and says the same thing.
So every price you have read for Optimizely came from somebody else. This page collects those estimates, traces each one back to the oldest page it appears on, breaks the cost down by product, and then does the part nobody else does: prices the Shopify route to install it, and works out what one winning test actually costs. Every figure names its source and the date it was read.
What Optimizely itself publishes about pricing
TL;DR Nothing with a dollar sign on it. Ten products, one sentence about packaging, and a demo form. The single free thing is a feature-flagging tier limited to one experiment at a time.
We checked every page on optimizely.com a buyer would reasonably open. The plans page lists ten products: Agentic CMS, Agentic Experimentation, Agent Platform, Content Marketing Platform, Analytics, Personalization, Commerce, Asset Management, Data Platform and Feature Management. None carries a price. The experimentation product page promises you can "Launch no-code experiments in minutes" and ends in "Get started" and "Book a demo". The get-started page is a form: "Share your objectives and challenges, and our team will help you identify the right solutions." The Data Platform and CMS pages are the same: description, button, no number.
There is one exception, and it is worth being precise about. Optimizely's free feature-flagging page says "Rollout features and prove value with less risk, at no cost. Totally free, no credit card needed," with one stated limit: "Run one concurrent experiment at a time." That is Feature Experimentation, the server-side SDK your developers call from application code. It is not Web Experimentation, the visual editor most people mean when they say "Optimizely", and there is no free tier or trial for that product anywhere on the site. If someone tells you Optimizely has a free plan, this is what they mean, and it will not test your Shopify product page.
Hold that in mind as you read the rest. Optimizely runs an enterprise sales motion on purpose. The price is set in the sales call, which means the price depends on your traffic, on which products get bundled, and on how the quarter is going for the rep. Every figure below is somebody's reconstruction of what came out of those calls.
Every third-party estimate, with its source and date
TL;DR Seven pages quote the same three numbers. Two of the three trace to a Convert comparison table dated June 2020. The third, $36,000, traces to nothing. Vendr's contract data is the only independent set, and it is not broken out by product.
Search "optimizely pricing" and the first page of results is a loop. Each article cites the one before it. We read all of them today and recorded exactly what each says, when it was published, and where it says it got the figure.
| Source | Date | Figure | Where they say it came from |
|---|---|---|---|
| Optimizely | Read 3 Sep 2026 | No price published for any product | "Every Optimizely plan is individually packaged." |
| Convert | "Last Updated on 3rd June 2020" | Web Testing Business: licence $49K + service $14.7K = $63.7K, 10M impressions. Enterprise: $87K + $26.1K = $113.1K, 10M impressions. "All customers have to purchase annual plans." | No methodology stated. Convert sells a competing product. This is the oldest page carrying these figures. |
| Eppo | 13 June 2024 | "minimum annual cost for a basic plan is estimated to be $36,000"; $63,700 for 10M impressions; $113,100 at Enterprise | "based on information from Convert" plus ex-Optimizely staff now at Eppo; the impression figures credited to "some sources" (SplitBase). Eppo sells a competing product. |
| SplitBase | Undated | "entry-level plans start at approximately $36,000 USD per year"; enterprise packages "can exceed $200,000 per year" | "based on current consensus from multiple sources". No source named. SplitBase is a CRO agency. |
| FigPii | 18 December 2024 | "starts around $36,000 and potentially exceeds $200,000" | Cites SplitBase. FigPii sells a competing product. |
| Vendr | "Last updated: February 2026" | "Median buyer pays $81,447 per year", 126 purchases, 13% average saving, range $26,460 to $261,075 | Vendr's own logged contracts, all Optimizely products mixed together. The only figures on this table drawn from signed deals. |
| Personizely | 2 April 2026 | "$36,000 per year" entry; "$200,000 or even $400,000" at the top; "around $63,700 per 10 million impressions" | "reports", Reddit and G2 reviews. No link to a document. Personizely sells a competing product. |
| Mida | "Updated August 15, 2026" | "around $36,000 per year"; $63,700 and $113,100 at 10M monthly impressions; "$200,000 and up" | SplitBase, Vendr, Personizely "and Google AI Overview". Mida sells a competing product. |
All rows read on 3 September 2026. Six of the seven non-Optimizely sources sell an A/B testing product or CRO service that competes with Optimizely. Optimizely has confirmed none of these figures.
Reconciling the table honestly
Three things fall out of it once you line the dates up.
The $63,700 and $113,100 figures are from 2020. Convert's page is stamped 3 June 2020 and shows the arithmetic: a $49,000 licence plus a $14,700 service fee for the Business plan, an $87,000 licence plus $26,100 for Enterprise, both including 10 million impressions. Eppo picked the totals up in 2024, Personizely and Mida repeated them in 2026, and by the time they reach a Google AI Overview they read like current list prices. They are a six-year-old snapshot from a competitor, with no stated method. Treat them as a shape, not a quote. What they do tell you that still holds is the structure: a licence metered on impressions, plus a mandatory service fee of about 30% on top, on an annual term.
The $36,000 entry figure has no origin document. SplitBase calls it "consensus from multiple sources" and names none. Eppo credits "information from Convert", but Convert's page does not contain a $36,000 figure; its lowest total is $63,700. FigPii, Personizely and Mida cite SplitBase and each other. Five pages agreeing is not five sources. It is one unattributed estimate with four echoes. We keep using it below because it is the number a sales rep will recognise and because Vendr's low end, $26,460, sits close enough to make it plausible. But we label it what it is every time.
Vendr's data is real and it is blended. $81,447 as the median of 126 logged purchases is the strongest number on this page, because it comes from contracts rather than inference. It is also across every Optimizely product, from the CMS to Commerce to experimentation, so it says "the typical Optimizely customer spends about $80,000 a year", not "Web Experimentation costs $80,000". Vendr does give a product-level range for experimentation, and that is where the next section starts.
Cost by product: Web Experimentation, Feature Experimentation, ODP, CMS
TL;DR One brand, four unrelated bills. The A/B testing tool is one product; the free thing is a different product; revenue tracking on Shopify needs a third; and the biggest Vendr ranges belong to a CMS and a commerce platform you would use instead of Shopify, not with it.
The confusion is corporate history. Episerver, a content and commerce vendor, bought the A/B testing company Optimizely in 2020 and then took its name: "Episerver, today announced it has rebranded to Optimizely, following its acquisition of the business last year" (Optimizely press release, 27 January 2021). Today optimizely.com/products lists nine products under "Optimizely One". Four of them come up in every pricing conversation.
Web Experimentation
This is the original Optimizely: a visual editor and a statistics engine that split traffic on a site you already have. The product page now brands it "Agentic Experimentation" and lists the visual editor, server-side testing, multivariate tests, bandit algorithms and AI-suggested next experiments. If you want to A/B test a Shopify storefront with Optimizely, this is the product, and it is the one with no published price and no trial.
The traceable estimates: Convert's 2020 table at $63,700 (Business) and $113,100 (Enterprise) with 10 million impressions included, both annual only. Vendr's February 2026 guide folds experimentation into what it calls Intelligence Cloud and says "List pricing for experimentation tools starts around $50,000-$80,000 annually for mid-market deployments (under 5 million MTUs) and scales to $200,000+ for enterprise deployments with higher traffic, advanced statistical engines, and multi-product experimentation." The unattributed $36,000 sits below both. A fair reading for a mid-sized Shopify store: plan for $50,000 to $80,000 a year on list, then negotiate, since Vendr's buyers saved 13% on average.
The engine is the part worth the money. Optimizely runs a sequential test, so results are designed to stay valid while you watch them. In its own words the "sequential testing algorithm mSPRT derives valid p-values from a mixture likelihood ratio (computed by averaging the likelihood across a prior distribution of possible effect sizes) keeping false positive rates under control throughout the experiment" (optimizely.com/insights/blog, checked 3 September 2026). The same article states the limit: "If your MDE is high, Optimizely's sequential engine will typically reach significance with a smaller sample size." The saving arrives when the effect you are hunting is large. It cannot manufacture visitors.
Feature Experimentation
The server-side SDK and feature-flag product, listed on the products page as "Feature management". Its free tier is the only free thing Optimizely sells: "Totally free, no credit card needed", limited to "one concurrent experiment at a time". No paid tier price is published. This is developer tooling for application code. On Shopify it has no storefront surface unless your engineers build one, so for a merchant deciding what to pay for, it is neither a cost nor a solution.
Optimizely Data Platform (ODP)
A customer data platform, described by Optimizely as "the engine for Optimizely One" that helps you "put it to work across experimentation, content, and commerce." No price is published. It matters on Shopify for one specific reason: Optimizely's developer docs route revenue tracking through it. The Shopify App Store listing, published by Optimizely, reads "Free to install. Additional charges may apply" and shows 0.0 stars from zero reviews since 23 June 2023 (apps.shopify.com/zaius, checked 3 September 2026). Budget for it as a second, unpriced line.
CMS and Commerce
These are the Episerver inheritance. Vendr puts Content Cloud at "$40,000-$60,000 annually for smaller deployments" scaling to "$150,000-$300,000+", and Commerce Cloud list pricing at "$100,000-$150,000 annually", which "can exceed $500,000 for enterprise implementations". On top of licences Vendr reports professional services of "$50,000 to $200,000+", training at "$5,000 to $20,000", and premium support at "10-20% above standard support".
Two things for a Shopify merchant. First, these ranges are not the A/B testing tool. An article quoting "$40,000 to $60,000 for Optimizely" as the cost of experimentation has pulled a CMS number. Second, Optimizely Commerce is sold against Shopify, not with it. Its own comparison page calls the platform "purpose-built for manufacturers and distributors" and files Shopify under "Small-to-medium DTC brands looking for an easy-to-use platform" (optimizely.com/vs/vs-shopify, checked 3 September 2026). If you run a Shopify store, the CMS and Commerce lines are somebody else's budget.
What one winning test costs on Optimizely
TL;DR Most tests do not win. On the one dataset we could verify today, 13.5% of properly powered variants won. Divide the contract by the winners you can actually produce and the price per win runs from about $14,000 at enterprise traffic to about $143,000 on a mid-sized store.
A testing contract does not buy tests. It buys the chance of winners, and the chance is lower than most merchants assume. Mida published an analysis of its own customers' concluded tests, "9,224 variants across 7,142 tests, run by 849 companies, concluded between August 2023 and August 2026": 13.5% of properly powered variants won, 14.9% lost, and 71.6% "produced no detectable change" (mida.so, updated 15 August 2026). Win rates by change type ranged from 21.4% for layout changes to 10.4% for body copy. Two caveats before we use it: this is Mida's corpus, not Optimizely's, and Mida sells a competing product. But it is the only win-rate figure on any page in this search result that names its sample, and roughly one win in seven matches what serious practitioners report elsewhere.
Now combine it with traffic. A test can only finish when it reaches its sample size, and the sample size is set by your conversion rate and the lift you need to detect, not by the tool. At a 2% baseline, detecting a 10% relative lift at 95% confidence and 80% power needs 80,682 sessions per variant, 161,364 in total; a 20% lift needs 42,218 in total (our significance calculator, two-proportion power formula, computed 30 July 2026). Divide by monthly sessions, multiply by 13.5%, and you have winners per year.
| Monthly sessions | Hunting a 20% lift | Hunting a 10% lift |
|---|---|---|
| 25,000 | ~7 tests/yr → ~1 winner → ~$37,000 per win | ~1.9 tests/yr → 0.25 winners → ~$143,000 per win |
| 100,000 | ~28 tests/yr → ~3.8 winners → ~$9,400 per win | ~7.4 tests/yr → ~1 winner → ~$36,000 per win |
| 250,000 | ~52 tests/yr (7-day floor) → ~7 winners → ~$5,100 per win | ~18.6 tests/yr → ~2.5 winners → ~$14,300 per win |
Our arithmetic on cited inputs. Contract fixed at the third-party $36,000 entry estimate, excluding the connector app, ODP, and people. Sample sizes from our calculator (2% baseline, 95% confidence, 80% power, 50/50 split, every store session enters the test, which is generous). Win rate 13.5% from Mida's August 2026 corpus. Tests run one at a time; no test shorter than seven days. Substitute Vendr's $81,447 median and every figure is 2.3 times higher.
Read the diagonal. At 250,000 sessions a month, which is where SplitBase says Optimizely's intended audience starts ("Brands running 250,000+ monthly visitors"), a win costs five to fourteen thousand dollars and the contract is defensible. At 25,000 sessions, a store gets a quarter of a winner a year on 10% lifts, and the same contract prices each one at $143,000. Optimizely does not get worse as you scale down. Your ability to use it does, and the invoice does not shrink to match.
The obvious escape hatch is to hunt bigger swings, and the table shows it partly works: a 20% target resolves in a quarter of the traffic. The catch is that you do not choose how big the effect is, only how big it has to be before you can see it. Plan for 20%, find a real 8%, and you have run an underpowered test and filed a winner as inconclusive.
The Shopify reality: connector, snippet, checkout, revenue
TL;DR There is no official Optimizely testing app for Shopify. You paste a synchronous snippet into theme.liquid or pay a third party $29 to $299 a month to do it, the snippet never loads on checkout, and revenue tracking runs through a second Optimizely product with no published price.
Route 1: the manual snippet in theme.liquid
This is the route Optimizely documents: "Paste the Optimizely snippet immediately before the closing </head> tag" in theme.liquid (Optimizely developer docs, checked 3 September 2026). It costs nothing beyond developer time.
Then comes the line worth reading twice, verbatim from the same page: "Shopify displays warnings suggesting the snippet should be async, deferred, or hosted on Shopify's CDN. Ignore these warnings. The Optimizely snippet must load synchronously."
Optimizely is not being careless. A visual-editor test has to decide which version to show before the browser paints, or the shopper sees the original page and watches it change. Synchronous loading is the only way to prevent that flash. It is the right answer to the problem the product has, and a real cost to your storefront. Shopify's theme performance guide puts the other side plainly: "Render-blocking stylesheets and scripts in the <head> are the usual reason" First Contentful Paint is late, and "Use the defer attribute on non-critical scripts. Use async only for independent third-party scripts where execution order doesn't matter" (shopify.dev, checked 3 September 2026). Neither party is wrong. The conflict is structural to client-side testing, and it is why Shopify built its own experiments to run server-side.
The Shopify-specific tax is maintenance. The snippet lives in theme code, not in your admin. Duplicate the theme for a seasonal build, accept a theme-vendor update, or hand the store to a new agency, and it does not travel unless somebody carries it. Our guide to theme-level A/B testing on Shopify covers what survives a theme change.
Route 2: the third-party connector app
There is an App Store listing called Optimizely by Impress. Read the developer field first: it is published by Impress, not by Optimizely. Its pricing (apps.shopify.com/optimizely-1, checked 3 September 2026):
- Basic, $29/month, "For stores on the Basic and Shopify plans"
- Advanced, $99/month, "For stores on the Advanced plan"
- Plus, $299/month, "For stores on the Shopify Plus plan"
All three carry a 7-day trial and the same note: "Optimizely service paid separately." Tiering by Shopify plan rather than by traffic means a Plus store pays ten times what a Basic store pays for the same connector. Weigh it honestly: the listing launched on 4 April 2018 and shows 0.0 stars from zero reviews. Eight years without a public review is not proof the app is broken, only that nobody has vouched for it. Ask Impress when it was last updated against current Shopify APIs, and treat the trial as a real test.
Route 3: Optimizely's own app, which is not the testing tool
Optimizely publishes exactly one app on the Shopify App Store and it is the Data Platform, described in the listing as a way to centralise ecommerce data, build segments and power targeted experimentation. It is not pretending to be the tester, and it does connect to experimentation, which is a real capability if you are already an Optimizely customer with a segmentation problem.
It also turns out to be load-bearing for anyone testing on Shopify, because the docs route revenue through it: "For revenue tracking on Shopify, the Optimizely Data Platform (ODP) app is available from the Shopify store and works across all Shopify plans." The same page warns the numbers drift both ways: "Optimizely's conversion totals can exceed Shopify's totals if the revenue tracking call fires more than once," and "Optimizely's revenue totals might sometimes register as lower than those by Shopify" when a shopper pays but leaves before the tracking loads. Conversion rate can rise while revenue falls, which is why we judge tests on revenue per visitor. A setup that reaches that metric only through a second paid product is a setup with a second invoice.
The snippet never sees checkout
Same docs page, one sentence: "The snippet loads on every page of your store except the checkout and thank-you pages." If checkout is the part of the funnel you most want to test, the Optimizely route on Shopify does not reach it. That is a platform boundary, not an Optimizely shortcoming, and it applies to every client-side tester. It is also why the native and app-based tools in the ladder below matter more than their price tags suggest.
Can your store feed it? The traffic table
TL;DR At a 2% conversion rate, one 10% test needs about 161,000 sessions. Below roughly 50,000 sessions a month no engine, Optimizely's included, gets you a clean answer inside a quarter.
This is the same arithmetic as the cost-per-win table, shown as days rather than dollars, because "how long until I know" is the question merchants actually ask. Sessions per variant come from our calculator: 80,682 for a 10% lift and 21,109 for a 20% lift at a 2% baseline. Optimizely's own sample size calculator takes the same inputs, a baseline conversion rate and a minimum relative change, and notes that "95% is an accepted standard for statistical significance, although Optimizely allows you to set your own threshold for significance based on your risk tolerance." Run your numbers through theirs before the demo.
| Monthly store sessions | Detect a 20% lift (42,218 total) | Detect a 10% lift (161,364 total) | Verdict |
|---|---|---|---|
| 5,000 | 257 days | 981 days | Not a testing programme |
| 10,000 | 128 days | 491 days | One test a year, at best |
| 25,000 | 51 days | 196 days | Big swings only |
| 50,000 | 26 days | 98 days | Workable for large effects |
| 100,000 | 13 days | 49 days | A real cadence starts here |
| 250,000 | 5 days | 20 days | Optimizely's home ground |
Sessions per variant computed 30 July 2026 for our significance calculator, two-proportion power formula, 95% confidence, 80% power, even split. Totals are both arms combined; days convert at 30.4 per month and assume every store session enters the test. No test under seven days is valid regardless of the arithmetic, because you need whole weekly cycles.
Who Optimizely is right for on Shopify, honestly
TL;DR Enterprise stores with the traffic, the team, and usually an existing Optimizely contract. For most Shopify merchants the binding constraint is sample size, not software, and the money buys more somewhere else.
Optimizely is the right call if you are well past 100,000 sessions a month, someone's job is experimentation, you test surfaces beyond your Shopify storefront, and especially if your organisation already pays for Optimizely CMS or ODP, in which case much of the cost is sunk and the sales call is a bundle negotiation. SplitBase, a CRO agency with no reason to talk merchants out of enterprise tools, describes the fit as a team of at least five and an annual CRO budget, tool plus people, that "exceeds $500,000." At that scale the engine is excellent and the price per win is reasonable.
It is the wrong call if you are a single Shopify store under roughly 100,000 sessions a month with no dedicated analyst. Not because the software is bad. Because you would sign an annual contract somewhere between the unattributed $36,000 and Vendr's $50,000 to $80,000 list, add a connector, add ODP for revenue, put a blocking script at the top of every page, skip checkout entirely, and then wait a quarter for one verdict that has a one-in-seven chance of being a win. A $69 to $399 a month Shopify-native app runs the same test on the same traffic and reaches the same statistical answer, because the answer is set by your sample size, not by whose engine computed it.
Below real volume the useful question stops being "which testing platform" and becomes "which change is worth one of the few shots I get this year". Choosing the right thing to test matters far more at 20,000 sessions a month than at 500,000, and that is the gap StorePilot (ours, pre-launch, said plainly, no App Store listing yet) is being built for: watching real shopper behaviour to find the friction worth testing, then judging the result on revenue per visitor with a minimum sample and no early winners. Nothing on this page depends on that. Everything in the next section ships today, and our Shopify CRO playbook covers the non-testing work that usually pays better at low traffic anyway.
The cheaper ladder for Shopify stores, with verified prices
Sorted from free to enterprise. Every price was read on 3 September 2026 from the Shopify App Store or the vendor's own page; re-check before you buy, because these move.
1. Shopify Rollouts: free native theme splits
Price: $0 add-on; rollouts on Basic or higher, experiments on Grow or higher. Shopify's own server-side rollouts. The split happens before the page is sent, so there is no client-side script and nothing to paste into theme.liquid. Shopify's requirements page states "Rollouts are available on the Basic plan or higher" and "Experiments are available to stores on the Grow plan or higher" (help.shopify.com, 3 September 2026). It reports raw metrics and does not call a winner, so bring your own significance test. Full breakdown in what Shopify Rollouts can and cannot test.
2. Intelligems: price, margin and shipping tests
Price: Smart Content $69/mo, Smart Merchandise or Smart Shipping $112.10/mo, Unlimited $349/mo, 14-day trial. 4.8 stars across 189 reviews, launched 1 December 2021, pricing "scales based on sitewide order volume" (apps.shopify.com/intelligems, 3 September 2026). It measures profit alongside conversion, which a client-side visual editor cannot do because it never sees your cost data. Every tier is unpacked in our Intelligems pricing guide.
3. Shoplift: section and theme tests with a significance engine
Price: Core $99/mo ("Starting at $74" on low traffic), Advanced $399/mo, Pro $999/mo, 14-day trial. 4.9 stars across 134 reviews, launched 15 September 2022, tiers priced "Based on site-wide monthly unique visitors" with 25% to 30% off on annual billing (apps.shopify.com/shoplift, 3 September 2026). Built as a Shopify app rather than a script you graft on. How it stacks up against the price-testing route is in Shoplift vs Intelligems.
4. ABConvert: the cheaper price-testing route
Price: Starter $99/mo, Growth $199/mo (price testing unlocks here), Scale $399/mo, Pro $599/mo, 14-day trial. 4.6 stars across 83 reviews, launched 31 October 2022 (apps.shopify.com/a-b-convert-price-a-b-test, 3 September 2026). Tiers are metered by test orders: 1,000 on Starter, 5,000 on Growth, 15,000 on Scale, 30,000 on Pro, with overage from $59 down to $24 per thousand. Price testing is not on the $99 tier, so read the table before you sign up expecting it.
5. Convert: a published-price client-side engine
Price: Growth $399/mo ($299/mo annual), Pro $599/mo ($420/mo annual), 100K tested users/mo; 15-day trial, no card. The closest like-for-like to Optimizely Web Experimentation, and it prints its prices (convert.com/pricing, 3 September 2026). Same architecture, so the same synchronous-script caution applies, but you can size the contract yourself instead of booking a demo to find out whether you can afford it. Enterprise is "Price on Request" and annual only.
6. VWO: the other enterprise platform, with a free month
Price: Growth, Pro and Enterprise tiers; "Free for 30 days. No credit card required". VWO's testing page promises a 30-day trial with no card (vwo.com/pricing/testing, 3 September 2026). Its dollar prices load through an interactive calculator rather than static text, so we do not quote them here; the full tier-by-tier breakdown is in our VWO pricing guide, and the Shopify fit in VWO for Shopify.
The comparison, side by side
| Tool | Best for | Entry price |
|---|---|---|
| Optimizely | Enterprise experimentation across many surfaces | Not published. Third-party estimates from ~$36,000/yr (unattributed) to $50,000–$80,000/yr list (Vendr); plus $29–$299/mo connector; plus ODP for revenue |
| Shopify Rollouts | Free native theme splits | $0 add-on; rollouts on Basic or higher, experiments on Grow or higher |
| Intelligems | Price, margin and shipping tests | Smart Content $69/mo, Smart Merchandise or Smart Shipping $112.10/mo, Unlimited $349/mo, 14-day trial |
| Shoplift | Section and theme tests with a significance engine | Core $99/mo ("Starting at $74" on low traffic), Advanced $399/mo, Pro $999/mo, 14-day trial |
| ABConvert | The cheaper price-testing route | Starter $99/mo, Growth $199/mo (price testing unlocks here), Scale $399/mo, Pro $599/mo, 14-day trial |
| Convert | A published-price client-side engine | Growth $399/mo ($299/mo annual), Pro $599/mo ($420/mo annual), 100K tested users/mo; 15-day trial, no card |
| VWO | The other enterprise platform, with a free month | Growth, Pro and Enterprise tiers; "Free for 30 days. No credit card required" |
Optimizely's row is third-party estimate, never confirmed by Optimizely. The other rows are published prices read 3 September 2026. For the wider field see our comparison of every Shopify A/B testing app, the full Optimizely alternatives list, and the free split-testing route.
The honest takeaway: Optimizely is excellent software with an enterprise sales model attached, priced in a room you have to book a demo to enter. The numbers you have read for it are a 2020 competitor table and one unattributed floor, echoed until they sound official. If you have 250,000 sessions a month and a CRO team, book the demo, ask for Web Experimentation pricing at your traffic, and ask for the auto-renewal clause in writing. If you do not, the thing limiting your testing is not the engine, and buying a bigger one will not change the arithmetic.
Optimizely pricing: questions merchants keep asking
How much does Optimizely cost?
Optimizely does not publish a price. Its plans page says only: "Every Optimizely plan is individually packaged. Tell us a bit about your digital needs, and we'll create a plan together," with "Request a demo" and "Get started" buttons and no dollar figures (optimizely.com/plans, checked 3 September 2026). Every number in circulation is a third-party estimate. SplitBase, Eppo, Personizely, FigPii and Mida all put entry-level Web Experimentation at roughly $36,000 a year. Vendr, which negotiates contracts, reports a median Optimizely buyer paying $81,447 a year across 126 purchases, with a range from $26,460 to $261,075 (vendr.com, last updated February 2026). None of those figures came from Optimizely.
Is the $36,000 a year figure official?
No. It appears on SplitBase as "based on current consensus from multiple sources, entry-level plans start at approximately $36,000 USD per year," on Eppo as an estimate "based on information from Convert" and ex-Optimizely staff, and on Personizely, FigPii and Mida citing those two. The only figures with a visible origin are Convert's, whose Optimizely comparison page is stamped "Pricing & Features Last Updated on 3rd June 2020" and lists a Web Testing Business plan at $63.7K and an Enterprise plan at $113.1K, each including 10 million impressions. Every $63,700 and $113,100 you see elsewhere is that 2020 table, repeated.
Does Optimizely have a free trial?
Not for Web Experimentation, the visual-editor testing product. The plans page, the experimentation product page and the get-started page all route to a demo request or a form, with no trial button (all checked 3 September 2026). Personizely's April 2026 write-up states it plainly: "Optimizely doesn't offer a free trial or self-service signup." The one free product is feature flagging inside Feature Experimentation, described on its own page as "Totally free, no credit card needed" with the limit "Run one concurrent experiment at a time." That is a developer SDK, not a free way to test a Shopify product page.
What is Optimizely's minimum contract?
Optimizely does not state one. Convert's 2020 comparison page says "All customers have to purchase annual plans." Personizely (April 2026) reports that "Annual contracts are binding" and that renewals can require "60 to 90 days of notice." Mida (August 2026) says "Contracts are annual or multi-year." Vendr (February 2026) adds that "Renewal contracts often include 3-7% annual price escalators" and that two- to three-year commitments unlock discounts. Read the auto-renewal clause before you sign, and put a calendar reminder 100 days before the term ends.
How much does Optimizely Web Experimentation cost on its own?
Optimizely publishes nothing for it. The traceable third-party figures are Convert's 2020 table: a Web Testing Business plan at a $49K licence plus $14.7K service fee ($63.7K, 10 million impressions included) and an Enterprise plan at $87K plus $26.1K ($113.1K, same impressions). Vendr's February 2026 guide, which folds experimentation into what it calls Intelligence Cloud, says list pricing "starts around $50,000-$80,000 annually for mid-market deployments (under 5 million MTUs) and scales to $200,000+." The $36,000 entry figure sits below both and has no visible origin document.
Is Optimizely Feature Experimentation free?
The feature-flagging tier is. Optimizely's page says "Rollout features and prove value with less risk, at no cost. Totally free, no credit card needed," and "Run one concurrent experiment at a time" (checked 3 September 2026). No paid Feature Experimentation price is published. This is server-side software your developers wire into application code, so on a Shopify store it does not reach the storefront theme the way the Web Experimentation snippet does.
What does the Optimizely Data Platform (ODP) cost?
Not published. Optimizely's product page describes ODP as "the engine for Optimizely One" and offers a "Get started" button with no price. On the Shopify App Store the ODP app is listed by Optimizely as "Free to install. Additional charges may apply," with 0.0 stars from zero reviews since launching on 23 June 2023 (apps.shopify.com/zaius, checked 3 September 2026). ODP matters on Shopify because Optimizely's own docs route revenue tracking through it.
Does Optimizely work on any Shopify plan?
Yes. Optimizely's docs state the ODP app "works across all Shopify plans," and the snippet install is a plain theme.liquid edit available on every plan. The third-party Impress connector prices by Shopify plan rather than gating one: $29 a month on Basic and Shopify, $99 on Advanced, $299 on Plus, each with a 7-day trial and the note "Optimizely service paid separately" (apps.shopify.com/optimizely-1, checked 3 September 2026). The constraint is commercial and statistical, not a plan gate.
Will Optimizely slow down my Shopify store?
It adds a synchronous script to the head of every page. Optimizely's docs say so directly: "Shopify displays warnings suggesting the snippet should be async, deferred, or hosted on Shopify's CDN. Ignore these warnings. The Optimizely snippet must load synchronously." Shopify's theme performance guide says "Render-blocking stylesheets and scripts in the
are the usual reason" First Contentful Paint is late, and advises "Use the defer attribute on non-critical scripts." Both are right for their own purposes. A visual-editor test has to run before paint or the shopper sees the original page flash.What are the cheapest Optimizely alternatives for Shopify?
All of these publish their prices, read 3 September 2026. Shopify Rollouts is built in: rollouts on Basic or higher, experiments on Grow or higher. Intelligems starts at $69 a month (4.8 stars, 189 reviews). Shoplift starts at $99 a month, or $74 on a small-traffic tier (4.9 stars, 134 reviews). ABConvert starts at $99, with price testing from its $199 tier. Convert, the closest like-for-like client-side engine, is $399 a month, or $299 on annual billing, with a 15-day trial and no card. VWO offers 30 days free with no credit card; its plan prices render through a calculator, so see our VWO pricing guide.