What Optimizely actually costs on a Shopify store

Optimizely does not tell you what Optimizely costs. Go to its pricing page today and the entire 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." The button says "Request a demo" (optimizely.com/pricing, checked 9 August 2026). No tiers, no ranges, no per-visitor rate card.

This page assembles the number Optimizely will not print, then adds the Shopify-specific costs nobody else counts: the connector app, the theme edit that has to be redone every time your theme changes, and the traffic threshold that decides whether any of the spend was worth it. Every figure below names its source and the date it was read.

First: which Optimizely do you mean?

TL;DR "Optimizely" names two unrelated things here: an A/B testing tool you run on Shopify, and a commerce platform you run instead of Shopify. Sorting that out first saves a wasted demo.

The confusion is corporate history, not yours. Episerver, a content management and commerce vendor, acquired the A/B testing company Optimizely in a cash-and-stock deal announced on 3 September 2020 (TechCrunch). Four months later it took the name for the whole company: "Episerver, today announced it has rebranded to Optimizely, following its acquisition of the business last year" (Optimizely press release, 27 January 2021). One brand, two product families with almost nothing in common.

Today optimizely.com/products lists nine products under the "Optimizely One" umbrella, including a Content Management System, Experimentation, Feature management, Personalization, Analytics and Commerce. Two of those matter here:

• Experimentation, which the developer docs still call Web Experimentation. This is the original Optimizely: a visual editor and a statistics engine that splits traffic on a site you already have. If you want to A/B test your Shopify store, this is the product.
• Commerce, the Episerver side, which Optimizely sells against Shopify. Its comparison page calls the platform "purpose-built for manufacturers and distributors" and places Shopify with "Small-to-medium DTC brands" (optimizely.com/vs/vs-shopify, checked 9 August 2026). It is not an add-on to your store, it is a replacement for it, aimed at enterprise B2B.

A third product is worth naming because it is the one thing Optimizely gives away. Feature Experimentation is the server-side SDK and feature-flag product, and its free tier page says "Totally free, no credit card needed" with one stated limit: "Run one concurrent experiment at a time" (optimizely.com free feature flagging, checked 9 August 2026). That is a developer tool for application code, not a merchandiser's visual editor, and not a free route to testing your Shopify product page. If someone tells you Optimizely has a free plan, this is what they mean.

What Optimizely's testing product actually does

TL;DR Visual and code-based A/B and multivariate tests, audience targeting, personalization, server-side flags, and a sequential statistics engine that lets you look at results without the usual peeking penalty. It is serious software.

Optimizely invented much of the category and the engineering still shows: a WYSIWYG editor for building variants without a deploy, code-level experiments when the visual editor is not enough, multivariate tests, audience targeting, personalization campaigns, and a server-side SDK layer for experiments in application logic rather than in the DOM.

The part that is genuinely hard to replicate is the statistics. Optimizely runs a sequential engine, so results are designed to stay valid while you watch them rather than only at a pre-declared stopping point. 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)", while "keeping false positive rates under control throughout the experiment" (optimizely.com/insights/blog, checked 9 August 2026). The same article adds the honest boundary itself: "if your MDE is high, Optimizely's sequential engine will typically reach significance with a smaller sample size" than a fixed-horizon test. The saving arrives when the effect you are hunting is large. A sequential engine is a rigorous way to stop early on an obvious winner; it cannot conjure visitors, and on a small effect it will still want a large sample.

Two things to check before you talk to sales. Optimizely publishes a public sample size calculator taking a baseline conversion rate, a minimum detectable effect as a relative change, and a significance threshold, noting 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 store's numbers through it. And on Shopify the snippet does not reach checkout at all: the docs state it does not load on checkout pages because Shopify hosts checkout on a separate domain.

The price, source by source, with the caveats attached

TL;DR Nobody outside Optimizely knows the list price. Independent estimates cluster at roughly $36,000 a year to enter and rise steeply with traffic. Vendr's median logged contract is $81,447 a year. Treat every one of these as an estimate, because that is what they are.

Start with what is not in dispute: Optimizely's pricing page carries no dollar figures at all, and the only action available is "Request a demo". That is a deliberate enterprise sales model rather than an oversight, and it means every number below is somebody's reconstruction.

Source	Figure	What it covers
Optimizely	No price published	All products. "Every Optimizely plan is individually packaged." Read 9 Aug 2026.
SplitBase	"entry-level plans start at approximately $36,000 USD per year"; complex packages "can exceed $200,000 per year"	Web Experimentation, framed for eight and nine-figure DTC brands with 250,000+ monthly uniques. Stated by SplitBase as "current consensus from multiple sources", not official.
Eppo	"The minimum annual cost for a basic plan is estimated to be $36,000"; around $63,700 for 10 million impressions; $113,100 at enterprise for the same volume	Web Experimentation. Eppo credits Convert's published research, SplitBase, and ex-Optimizely staff now at Eppo. Eppo sells a competing product.
Vendr	"Median buyer pays $81,447 per year", from 126 logged purchases, average saving 13%	Optimizely contracts of all kinds, negotiated through Vendr. Not broken out by product.
Vendr (list ranges)	Content Cloud $40,000–$60,000 up to $150,000–$300,000+; Commerce Cloud $100,000–$150,000 and up; Intelligence Cloud $50,000–$80,000 to $200,000+	Not the testing tool. These ranges are for the CMS, commerce and intelligence products. Quoting them as "Optimizely A/B testing pricing" is a common error.

All figures read on 9 August 2026 from optimizely.com/pricing, splitbase.com, geteppo.com and vendr.com/buyer-guides/optimizely. Every non-Optimizely row is an estimate published by a third party, two of which sell competing products. Optimizely has never confirmed any of them.

Read the table for its shape rather than its precision. Two sources landing on the same $36,000 is worth something, though less than it looks, since Eppo cites SplitBase as one of its inputs. Vendr's median holds up better, because Vendr sees signed contracts rather than sales-page inference, and $81,447 across 126 purchases says the typical Optimizely customer spends well into five figures a year.

The last row is the one most articles get wrong. Vendr's headline list ranges are for Content Cloud, Commerce Cloud and Intelligence Cloud, which are the CMS and commerce products, the Episerver inheritance. A blog quoting "$40,000 to $60,000 for Optimizely" as the cost of A/B testing has pulled a CMS number. Carry that into the sales call: ask explicitly for Web Experimentation pricing at your monthly visitor volume, and ask what else is bundled under Optimizely One.

Note how the meter runs. The volume-based estimates price on impressions rather than seats, which is why Eppo's figures step from $63,700 to $113,100 at the same 10 million impressions. Your traffic is the meter, so growth makes the tool more expensive at the moment it starts being useful.

Getting Optimizely onto Shopify: the three routes, and what each really costs

TL;DR Paste the snippet into theme.liquid yourself, install a third-party connector at $29 to $299 a month, or install Optimizely's own Shopify app, which is a customer data platform and not the tester. There is no official one-click Optimizely testing app.

Route 1: the manual snippet in theme.liquid

This is the route Optimizely documents: paste the snippet "immediately before the closing </head> tag" in theme.liquid, in your theme's layout folder (Optimizely developer docs, checked 9 August 2026). It costs nothing beyond the 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 cavalier. 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 correct answer to the problem the product has, and a real cost to your storefront.

The Shopify-specific tax here 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 a Shopify App Store listing called Optimizely by Impress, marketing the ability to "quickly create A/B tests using Optimizely's WYSIWYG interface" with conversion hooks for cart and purchase. Read the developer field first: it is published by Impress, not by Optimizely. Its pricing (apps.shopify.com/optimizely-1, checked 9 August 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 Shopify Plus

All three carry a 7-day free trial and the same note: "Optimizely service paid separately." Tiering by Shopify plan rather than by traffic or tests is unusual, and it means a Plus store pays ten times what a Basic store pays for the same connector.

Weigh this honestly: the listing launched on 4 April 2018 and shows 0.0 stars from zero reviews. Eight years on the App Store without a single review is not proof the app is broken, only that nobody has publicly vouched for it. Ask Impress directly when it was last updated against current Shopify APIs, and treat the trial as a real test rather than a formality.

Route 3: Optimizely's own Shopify app, which is not the testing tool

Optimizely does publish an app on the Shopify App Store. There is exactly one, and it is the Optimizely Data Platform: a customer data platform that streams ecommerce and behavioural data, builds audience segments and pushes them to ad and email tools. Free to install, requires a separate paid ODP subscription, launched 23 June 2023, and carries 0.0 stars from zero reviews (apps.shopify.com/zaius, checked 9 August 2026). Optimizely's publisher page lists no other app.

Be fair about what it is for. ODP is not pretending to be the testing tool, and it does connect to experimentation: its listing invites you to "Run Optimizely experiments targeting powerful segments built with your live ecommerce data." That is a real capability, and a good one 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 Optimizely's docs route revenue tracking 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 that the numbers drift in both directions: "Optimizely's conversion totals can exceed Shopify's totals if the revenue tracking call fires more than once" (a page reload can re-fire the call), while "Because Shopify is integrated and knows when a customer pays for a purchase, Optimizely's revenue totals might sometimes register as lower than those by Shopify" (the shopper pays but leaves before the event page loads). It offers a custom pixel as the alternative for checkout events.

Follow that chain and the cost stack gains a line. If you want Optimizely to report revenue rather than clicks, the documented path adds an ODP subscription whose price is also unpublished. Conversion rate can rise while revenue falls, which is why we treat revenue per visitor as the metric that decides a test. A setup that reaches it only through a second paid product is a setup with a second invoice.

The synchronous script problem on a Shopify storefront

TL;DR Optimizely's docs tell you to ignore Shopify's warnings and load the snippet synchronously. Shopify's own performance guidance says parser-blocking scripts "significantly delay page rendering". Both statements are correct. The cost lands on your Largest Contentful Paint.

Set the two documents side by side. Optimizely: "Ignore these warnings. The Optimizely snippet must load synchronously." Shopify's theme performance best practices: "Parser-blocking scripts block the construction and rendering of the DOM until the script is loaded, parsed, and executed. They also create congestion on the network and significantly delay page rendering," with the recommendation to "Use defer or async attributes on your script tags to avoid this" (shopify.dev, checked 9 August 2026).

Neither party is wrong. Optimizely needs the script to run before paint or its product does not work. Shopify is describing what a blocking script in the head does to a storefront. The conflict is structural to client-side testing, and it is why Shopify built its own experiments to run server-side, deciding the split before the page is ever sent.

For a merchant this is a decision, not a disaster. The snippet sits ahead of everything on the critical path, including your hero image, on the page where Largest Contentful Paint matters most: the product page. If your store is comfortably inside the Core Web Vitals thresholds and you have engineering attention to spend keeping it there, you can absorb it. If your mobile LCP is already marginal, the tests may cost more in speed than they return in lift.

There is a measurement trap here too. A script that slows the page for control and variant alike still compares them fairly, but it will not tell you the whole store got slower while you tested. Watch your vitals independently of the experiment dashboard.

Can your store actually feed it? The traffic maths nobody runs

TL;DR At a 2% conversion rate, detecting a 10% relative lift needs about 80,682 sessions per variant. That is 161,364 sessions for one two-arm test. Below roughly 50,000 sessions a month, no engine gets you a clean answer in a reasonable window.

This section should come before the pricing conversation and almost never does. Every competing page about Optimizely on Shopify explains how to install it. None checks whether your store can produce enough data for it to say anything.

The arithmetic is standard and we have already published it. Using the two-proportion power formula at 95% confidence and 80% power, a 2.00% baseline needs 80,682 sessions per variant to detect a 10% relative lift, 21,109 per variant for a 20% lift, and 315,206 per variant for a 5% lift. At a 3% baseline the 10% figure falls to 53,211. The grid, the formula and the working are on our statistical significance calculator, computed 30 July 2026. The table below just divides those totals by your traffic.

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 required per variant computed 30 July 2026 for our significance calculator, two-proportion power formula, 95% confidence, 80% power, even 50/50 split. Totals are both arms combined; days convert at 30.4 days per month and assume all store sessions enter the test, which is generous. Note the floor: no test under seven days is valid regardless of what the arithmetic says, because you need whole weekly cycles.

Now put the two halves together, using the $36,000-a-year entry estimate as the unit of account. At 25,000 sessions a month you get under two conclusive tests a year on a 10% lift, at 196 days each, which is roughly $19,000 per answer before the connector app and the developer time. At 250,000 sessions a month the same contract funds a 10% test every three weeks and the price per answer collapses toward $2,000. Optimizely does not get better as you scale; your ability to use it does. SplitBase, which sells CRO services into this market, frames its Optimizely pricing guidance around "8-9 figure DTC brands" with 250,000 or more monthly unique visitors, and that is a fair description of the fit from a source with no reason to talk merchants out of enterprise tools.

One caution about the obvious escape hatch. When the numbers look bad the tempting move is to test bigger swings, and it partly works: a 20% lift resolves in a fifth of the traffic. But you do not get to decide how large the effect is, only how large it has to be before you would notice. Plan for 20%, find a real 8%, and you have run an underpowered test and filed it as inconclusive.

Who Optimizely is right for on Shopify, honestly

TL;DR It fits enterprise stores with the traffic, the team, and usually an existing Optimizely relationship. For most Shopify merchants the constraint is sample size, not software quality, and the money is better spent elsewhere.

Optimizely is the right call if you are doing well over 100,000 sessions a month, someone's job is experimentation, you test across more surfaces than your Shopify storefront, and especially if your organisation already runs Optimizely CMS or ODP, in which case much of the cost is sunk. The stats engine is excellent, the targeting is deep, and at that scale the price per resolved test is reasonable.

It is the wrong call if you are a single Shopify store under roughly 100,000 sessions a month with no dedicated CRO analyst. Not because the software is bad, but because you would pay a five-figure contract, add a connector app, add an ODP subscription for revenue tracking, put a blocking script at the top of every page, and then wait a quarter for one verdict. A $99-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.

Optimizely alternatives for Shopify that publish their prices

Sorted by the job. Every price was read on 9 August 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; experiments require the Grow plan 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 docs state rollouts are available on Basic plan or higher and experiments require Grow or higher (help.shopify.com/en/manual/markets/rollouts, 9 August 2026). It reports raw metrics and does not call a winner, so bring your own significance test.

2. Shoplift: section and theme tests with a significance engine

Price: Core $99/mo, Advanced $399/mo, Pro $999/mo, 14-day trial. 4.9 stars across 118 reviews, launched 15 September 2022 (apps.shopify.com/shoplift, 9 August 2026). Bayesian predictive analysis with audience segmentation, built as a Shopify app rather than a script you graft on. The nearest thing to Optimizely's job on a Shopify budget, with the ceiling that it only tests Shopify surfaces.

3. Intelligems: price, margin and shipping tests

Price: Smart Content $69/mo, Smart Merchandise or Smart Shipping $112/mo, Unlimited $349/mo. 4.7 stars across 163 reviews (apps.shopify.com/intelligems, 9 August 2026). It measures profit and COGS alongside conversion, which a client-side visual editor cannot do because it never sees your cost data. Price testing is the thing Optimizely's snippet genuinely cannot do cleanly on Shopify.

4. ABConvert: the cheaper price-testing route

Price: Starter $99/mo, Growth $199/mo (price testing), Scale $399/mo, Pro $599/mo. 4.7 stars across 71 reviews (apps.shopify.com/a-b-convert-price-a-b-test, 9 August 2026). Tiers are metered by test orders rather than sessions: 1,000 on Starter, 5,000 on Growth. Price testing unlocks at the $199 Growth tier, so read the tier table before you sign up for the $99 one expecting it.

5. Convert: a published-price client-side engine

Price: Growth $399/mo, Pro $599/mo, both 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, 9 August 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.

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; plus $29–$299/mo connector; plus ODP for revenue
Shopify Rollouts	Free native theme splits	$0 add-on; experiments require the Grow plan or higher
Shoplift	Section and theme tests with a significance engine	Core $99/mo, Advanced $399/mo, Pro $999/mo, 14-day trial
Intelligems	Price, margin and shipping tests	Smart Content $69/mo, Smart Merchandise or Smart Shipping $112/mo, Unlimited $349/mo
ABConvert	The cheaper price-testing route	Starter $99/mo, Growth $199/mo (price testing), Scale $399/mo, Pro $599/mo
Convert	A published-price client-side engine	Growth $399/mo, Pro $599/mo, both 100K tested users/mo; 15-day trial, no card

Optimizely's row is an estimate from SplitBase and Eppo, never confirmed by Optimizely. The other rows are published prices read 9 August 2026. For the wider field see our comparison of every Shopify A/B testing app and the free split-testing route.

The honest takeaway: Optimizely is excellent software with an enterprise sales model attached, and on Shopify it arrives through a snippet Shopify's own docs would rather you did not paste. If you have 250,000 sessions a month and a CRO team, book the demo and ask for Web Experimentation pricing at your traffic. If you do not, the thing limiting your testing is not the engine, and buying a bigger one will not change the arithmetic.

Questions merchants keep asking

How much does Optimizely cost?

Optimizely does not publish a price. Its pricing 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 a "Request a demo" button and no dollar figures (optimizely.com/pricing, checked 9 August 2026). Every number elsewhere is a third-party estimate. SplitBase puts entry-level plans at "approximately $36,000 USD per year"; Eppo estimates the same $36,000 minimum, rising to $63,700 for 10 million impressions on Web Experimentation; Vendr, which negotiates software contracts, reports a median Optimizely buyer paying $81,447 a year across 126 logged purchases. None of those came from Optimizely.

Is Optimizely free?

One part of it is. Optimizely's free feature-flagging tier is described on its own page as "Totally free, no credit card needed," and the same page states the limit plainly: "Run one concurrent experiment at a time" (optimizely.com/products/feature-experimentation/free-feature-flagging, checked 9 August 2026). That free product is Feature Experimentation, the server-side SDK and flag product your developers wire into application code. It is not Web Experimentation, the visual editor most people mean when they say "Optimizely". There is no free Web Experimentation tier listed on the pricing page.

Is there an official Optimizely app for Shopify?

There is exactly one app published by Optimizely on the Shopify App Store, and it is not the testing tool. It is the Optimizely Data Platform: free to install, requires a separate paid ODP subscription, launched 23 June 2023, and carries 0.0 stars from zero reviews (apps.shopify.com/zaius, checked 9 August 2026). The separate "Optimizely by Impress" listing is built by a third-party developer, Impress.

Does Optimizely require Shopify Plus?

No. Optimizely's documentation states the ODP app "works across all Shopify plans," and the snippet install is a plain theme.liquid edit any plan allows (docs.developers.optimizely.com, checked 9 August 2026). The third-party Impress connector prices by Shopify plan rather than restricting to one, from $29 a month on Basic to $299 on Plus. The constraint on Optimizely is commercial and statistical, not a plan gate.

Will Optimizely slow down my Shopify store?

It adds a synchronous script to the top of every page, and Optimizely's docs are direct about it: "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 guidance says the opposite for third-party scripts: "Parser-blocking scripts block the construction and rendering of the DOM until the script is loaded, parsed, and executed," and advises defer or async. Both are right for their own purposes. A visual-editor test has to run before paint or the shopper sees the original page flash. On a Shopify storefront that trade lands on your Largest Contentful Paint.

How much traffic do I need before Optimizely makes sense?

Enough to finish a test inside a quarter. At a 2% baseline, detecting a 10% relative lift at 95% confidence and 80% power needs about 80,682 sessions per variant, roughly 161,000 in total for a two-arm test (computed for our significance calculator on 30 July 2026). A store doing 25,000 sessions a month takes about 196 days to collect that; at 100,000 a month it takes about 49 days, which is a workable cadence. Below roughly 50,000 sessions a month the binding constraint is your sample size, not your testing engine.

Does the Optimizely snippet work on Shopify checkout?

No. Optimizely's docs state that the snippet does not load on checkout pages because Shopify hosts checkout on a separate domain, and they point to a custom pixel to capture checkout events instead. The same page lists revenue discrepancies in both directions: "Optimizely's conversion totals can exceed Shopify's totals if the revenue tracking call fires more than once," and "Because Shopify is integrated and knows when a customer pays for a purchase, Optimizely's revenue totals might sometimes register as lower than those by Shopify." If checkout is the part of your funnel you most want to test, the snippet route does not reach it.

Who owns Optimizely now?

Episerver acquired Optimizely in a cash-and-stock deal announced on 3 September 2020 (TechCrunch), then took the Optimizely name for the whole company: "Episerver, today announced it has rebranded to Optimizely, following its acquisition of the business last year" (Optimizely press release, 27 January 2021). That is why searching "Optimizely Shopify" returns two unrelated answers: half about the testing tool, half about Optimizely's commerce platform competing with Shopify.

Is Optimizely's statistics engine worth paying for?

It is genuinely good engineering. Optimizely runs a sequential engine so you can look at results without the usual peeking penalty, described in its own words as an "mSPRT" algorithm that "derives valid p-values from a mixture likelihood ratio," while "keeping false positive rates under control throughout the experiment" (optimizely.com/insights/blog, checked 9 August 2026). The catch is what it buys you: stopping early when an effect is large. It does not manufacture visitors. If your store cannot reach the sample size for the effect you care about, a better engine just reaches "no call yet" more rigorously.

What is the best Optimizely alternative for a Shopify store?

It depends on the job, and all of these publish their prices. Shopify's own Rollouts is free and server-side, though experiments need the Grow plan or higher. Shoplift runs section and theme tests from $99 a month with a Bayesian engine, rated 4.9 across 118 reviews. Intelligems starts at $69 a month and handles price and margin testing on its higher tiers. ABConvert starts at $99 with price testing on its $199 Growth tier. Convert is the closest like-for-like to Optimizely's client-side engine at $399 a month for 100,000 tested users. Prices checked 9 August 2026.