Best A/B Testing Software in 2026

Optimizely is the benchmark many larger teams measure other tools against. Web Experimentation covers visual A/B and multivariate tests on pages, while Feature Experimentation adds server-side tests, feature flags, and mobile SDKs for product teams. That split matters, because a marketing team and a product team can run different kinds of tests without buying two separate systems.

The catch is cost and complexity. Pricing is custom, and enterprise deals are far above small-business budgets. A free tier for feature experimentation helps developers start, but a full web program still needs traffic, staff time, and a clear test backlog. For large teams with those resources, Optimizely is our pick. For smaller sites, it is more platform than you need.

VWO suits teams that want testing and behavior analysis in one place. You can build a variant in the visual editor, watch recordings to see why visitors stall, and then run a follow-up test on the same page. That loop is the practical value here: insight and testing sit together, so you spend less time moving data between tools.

The starting price for Testing is listed at $199 per month, and higher traffic pushes the cost up, so small sites should check the quote for their visitor volume. The interface also packs in a lot, and new users may need a few sessions to learn where everything lives. Still, for mid-size marketing teams, VWO is one of the strongest best a/b testing tools on this list.

AB Tasty blends testing with personalization, which fits teams that want to show different content to different segments after a test wins. The visual editor lets marketers change page elements without waiting on developers for every variant, and targeting rules can limit a test to a specific audience, device, or traffic source.

Pricing is quoted rather than published as a simple monthly figure, so you will need a sales conversation to get a firm number. That alone puts it out of reach for many small sites. For mid-market and larger brands that already run personalization programs, though, the combination of testing and audience targeting is a real strength.

Convert appeals to teams that care about privacy rules and clean data handling. It presents itself as a privacy-first experimentation platform, with controls that help teams limit data collection and meet regional privacy requirements. The editor supports standard A/B, multivariate, and split URL tests, and plans do not cap the number of tests you run.

The trade-off is scope. Convert is focused on testing rather than a full behavior suite, so you may still want a separate heatmap or analytics tool. Pricing is quoted, which makes quick budget comparison harder. If privacy compliance is a top concern for your business, Convert deserves a close look.

GrowthBook is our pick for developer-led teams on a tight budget. The open-source version can be self-hosted, and paid plans add hosted features and support. It handles feature flags and experiments together, and it can pull experiment data from warehouses and analytics tools you already use, which keeps results close to your own data.

The honest catch is setup. This is a product-team tool, not a marketer-only visual editor, so you will need engineering time to get it running well. If you have that help, the price and flexibility are hard to beat. If you do not, a visual-first tool will get your first test live faster.

Statsig grew out of product experimentation, and that focus shows in the feature set. Teams can gate features, run experiments, and watch product metrics in the same system, with SDKs for web, mobile, and server-side use. The free tier lets small teams start without a contract, which makes it a practical way to learn experimentation before committing budget.

Marketers who mainly want to edit landing pages in a visual editor may find Statsig less direct than VWO or AB Tasty. It is built for product decisions first. For app and SaaS teams that ship features often, that focus is a strength, and Statsig is one of the best a/b testing platforms for that kind of work.

PostHog bundles product analytics, session recordings, heatmaps, feature flags, and experiments into one platform. That breadth is useful for small product teams that do not want five separate subscriptions. You can spot a drop in a funnel, watch recordings, form a hypothesis, and run an experiment without leaving the tool.

The breadth is also the weakness. The interface covers a lot of ground, and teams that only want A/B testing may find the extra modules distracting. Pricing is usage-based with a free tier, so costs depend on events and traffic. Track usage early, and PostHog can be a strong, low-cost home for product experimentation.

Crazy Egg is the friendliest starting point on this list for small marketing teams. Heatmaps and scrollmaps show where visitors click and how far they scroll, and recordings add context that raw numbers miss. A/B testing is available on higher plans, with basic plans starting at $29 per month, so you can start with behavior insight and add testing as you grow.

It is not built for large, complex experimentation programs with heavy statistical needs. Teams running many concurrent multivariate tests will outgrow it. For a small site that wants to understand visitors and test a headline, a button, or a page layout, Crazy Egg gives clear value at a fair price.

Zoho PageSense is the budget pick for teams already using Zoho products. It covers A/B tests, split URL tests, funnels, heatmaps, and session recordings at a starting price of $17 per month on annual billing, with a free plan for small use. That price makes it one of the cheapest ways to run proper tests with real statistics.

The ecosystem is smaller than Optimizely or VWO, and some users find the interface less polished. Integrations outside Zoho are also thinner. If you already run Zoho CRM or Zoho Analytics, though, PageSense slots in neatly and keeps costs down. For price-sensitive small businesses, it is a strong best split testing tool option.