Optimizely alternatives: what to choose in 2026 Optimizely alternatives: what to choose in 2026

The verdict

Optimizely alternatives at a glance

Five of the eight will tell you the number before anyone calls you. Optimizely, VWO and AB Tasty won't — which is striking for a shortlist that exists because people are trying to price a switch.

What "individually packaged" actually costs you

Optimizely's pricing page carries no dollar figure anywhere. Its exact words:

"Every Optimizely plan is individually packaged. Tell us a bit about your digital needs, and we'll create a plan together."

That's not an accident, and for the buyer it's built for it isn't even a problem — enterprise procurement was going to run a scoping cycle anyway. But if you're a team of five with a conversion problem this quarter, the package is the price: a demo request, a discovery call, a scoping conversation, a quote, and then the negotiation. You spend evaluation weeks before you run evaluation traffic.

Three things to know so you spend those weeks well:

• Every "Optimizely costs $X" figure you've read is unverified. Numbers like "$1,500/month" circulate in third-party summaries; none appears anywhere on Optimizely's own site. Any alternatives page quoting one is guessing, and that tells you how much to trust the rest of it.
• Client-side and server-side are two products, not two modes of one. Optimizely's own docs recommend "pairing Optimizely's server-side experimentation product, Feature Experimentation, with the client-side experimentation product, Web Experimentation." Two SKUs to scope, on a price sheet you can't see.
• The self-serve door is Rollouts, not the paid product. It's genuinely free and card-free, with feature flags, audience targeting, staged rollouts and REST API access — and its ceiling is stated in one sentence: "Run one concurrent experiment at a time." One test at a time is a trial of the stats engine. It is not an experimentation programme.

Mtrix's answer to the same question is shorter: one month free, no credit card, full platform, and a first experiment configured and live in about five minutes once Mtrix is on the store. You evaluate by testing, not by scoping.

Two of the obvious alternatives are becoming one company

The standard move on this page is to send you from Optimizely to VWO or AB Tasty. Since January 2026 that advice needs a footnote: VWO and AB Tasty agreed to combine on 20 January 2026 and are consolidating under the Wingify brand — VWO's app moved to app.wingify.com on 13 June 2026, and by their own description the two suites are being integrated "over several quarters." Both companies say existing contracts and pricing are unchanged, and neither product is shutting down. But if you're leaving Optimizely to escape a big-vendor sales motion, know that the two mid-market names on the list are mid-merger, and neither publishes a price either.

We've written up both sides properly — the VWO side and the AB Tasty side — and the full dated timeline of what happened to the experimentation market since Google Optimize died lives in one reference page.

If you want a published price or a free tier

Four tools on the list print their numbers. All four are honest picks, and for two common situations they're the better pick than Mtrix:

• Convert.com — $399/mo monthly, $299/mo annual, at 100K tested users. The only tool in Optimizely's weight class that publishes a full price ladder. Server-side ("Full Stack") starts at Pro, $599/mo monthly. Choose it if a printed price is your first filter and web testing is the whole job.
• GrowthBook — free for 3 users, then $40/seat/month. Their free tier's own words: unlimited feature flags, unlimited experiments, unlimited traffic, with 9 server SDKs and 3 edge SDKs. Choose it if your metrics live in a data warehouse and you have an engineer to model them — that's the product's entire premise, and Mtrix has no answer to warehouse-native computation.
• Statsig — free for 2M events and 50,000 session replays a month, unlimited seats. Most of the serious statistics — CUPED, sequential testing — are on the free tier; bandits start at Pro, $150/mo. Statsig's brand and customers moved to Amplitude in May 2026 after OpenAI acquired the company in September 2025. Choose it if you're an engineering team and events are your unit of thinking.
• PostHog — usage-based, published per product, free allowance every month. Analytics, replay and experiments in one product on one bill, which is the same consolidation argument Mtrix makes, aimed at product engineers instead of store operators. Its no-code web editor is beta by their own labelling. Choose it if your team is technical and your product is software rather than a storefront.

Mtrix is not a free option and doesn't pretend to be. There is no free-forever Mtrix plan — one month free, no credit card, then paid. If the number in your head is under a few hundred dollars a month, pick from the four above and you'll be well served.

Where Mtrix fits — and what you give up

Mtrix isn't a testing tool you wire into a stack. It's the platform a DTC store runs on — or one script on the store you already have — with the experiment, the analytics, the session replay, the errors and the orders in the same data model.

Against Optimizely specifically, that changes four things:

• The test and the "why" are one product. Optimizely runs the test; watching the sessions behind a losing variant means a replay tool alongside it. Mtrix records 100% of sessions — sampling is an opt-in control, not a plan tier — and replay filters by experiment and by variant arm, so "open the sessions from the losing variant" is a click, not an integration project.
• No cap on experiments, on any plan. Not concurrent, not monthly. Four test types — A/B, multivariate, split URL, mask URL — plus bandit allocation, with revenue per visitor, conversion rate and add-to-cart rate as native metrics and probability-to-be-best reporting.
• Server-side is the default, not a second SKU. The allocation decision is made in Mtrix's backend on every install, and the assignment is held against your visitor ID with a 30-day server-side lookback rather than in a browser cookie. Rendering the variant on the server — the part that removes flicker entirely — is a documented integration for Hydrogen, Next.js and SvelteKit.
• Revenue is a first-class object. Products, orders, line items and refunds live in the platform, so an experiment reports the money it moved without an attribution project between two vendors' dashboards.

And the trade-offs, plainly. Web only — no native iOS or Android SDK, where Optimizely ships twelve SDKs including Swift, Android, Flutter and React Native; if you test a native app, Optimizely wins and this isn't close. No CMS, commerce suite or CDP — Optimizely sells a whole content and commerce stack on one enterprise contract, and Mtrix doesn't compete for that job. No free tier, as covered. No managed service — Mtrix gives you onboarding, a shared Slack channel and a named contact, but your team runs your programme.

When Optimizely is the right call

Credit where it's real, because the calibre of the incumbent is the context for everything above:

• The stats engine is the most respected in the category, and they publish how it works — down to Thompson Sampling for binary metrics, Epsilon Greedy for numeric ones, and an hourly bandit update cadence. Data teams trust it for a reason.
• It is not a legacy product. The 2026 release notes are dense — an AI variation agent, contextual bandit reporting, a code editor, a browser extension — with four releases in July 2026 alone. Anyone selling you "Optimizely is stagnating" is selling.
• Ecosystem. Agencies, certified partners, an academy, and the largest hiring pool in experimentation. You can recruit someone who already knows the tool. Nobody else on this list can say that, Mtrix included.

If that's the shape of your organisation — many properties, a governance requirement, a data team, content and commerce consolidating onto one contract — stay, and negotiate well.

FAQ

Run the test and watch the sessions behind it, in one product