Best AB Testing Software in 2026

Enterprise teams running many experiments · Pricing starts at: See website
Key takeaways
- VWO is the strongest all-in-one choice for marketing teams, pairing testing with heatmaps, recordings, and surveys.
- Optimizely remains the enterprise benchmark for web and feature experimentation, but its pricing is quote-based and high.
- GrowthBook, Statsig, and Zoho PageSense give smaller teams and product teams a far cheaper starting point.
- Testing tools are priced by traffic, seats, or events, so match the plan to monthly visitors before comparing headline prices.
Quick comparison
| Pick | Great for | Pricing starts at | Free tier | |
|---|---|---|---|---|
| Enterprise teams running many experiments | See website | Yes | Visit | |
| Marketing teams wanting testing plus research | $199 per month | No | Visit | |
| Personalization-led mid-market teams | See website | No | Visit | |
| Privacy-first teams and regulated industries | See website | No | Visit | |
| AI-driven experimentation at scale | $495 per month | No | Visit | |
| Affordable testing for small teams | $17 per month | Yes | Visit | |
| Small teams wanting tests plus heatmaps | $29 per month | Free trial | Visit | |
| Product teams wanting open source experimentation | Free | Yes | Visit | |
| Product teams pairing analytics with tests | $150 per month | Yes | Visit |
The best ab testing software
A/B testing software splits visitors between two or more versions of a page or feature, measures the difference with statistics, and lets teams ship what wins. We compared tools for marketing pages, product features, and landing pages, with extra weight on stats quality, ease of use, and honest pricing.

Optimizely is the enterprise standard for experimentation, covering client-side web tests with a visual editor and server-side feature tests with flags and mobile software kits. Its stats engine, targeting, and governance controls suit organizations running many concurrent experiments across teams and regions. A free tier for feature experimentation helps developers start without a sales call.
The honest catch is cost and appetite. Pricing is custom, and enterprise deals are commonly reported in the tens of thousands of dollars a year, so a small team will struggle to justify it. You also need enough traffic and staff to feed the program, or the platform sits idle. For a large company with a real experimentation program, Optimizely is the benchmark; for smaller teams, it is a different league.
- Deep web and feature experimentation
- Strong stats engine and governance
- Feature flags for product teams
- Custom pricing runs into enterprise budgets
- Needs dedicated staff to run well

VWO, from Wingify, is an all-in-one conversion platform that pairs A/B, split URL, multivariate, and multi-armed bandit tests with heatmaps, session recordings, surveys, and form analytics. That combination helps a team learn why visitors behave as they do, then test a fix in the same tool. Its SmartStats engine gives Bayesian readouts that many marketers find easier to interpret than raw significance tables.
The catch is price and scope. Testing starts around $199 per month, and the platform can feel large if a team only wants simple A/B tests. VWO also merged with AB Tasty in early 2026, so buyers should confirm the current product lineup before signing. For a marketing team that wants research and testing together, VWO remains a strong pick.
- Testing plus heatmaps, recordings, and surveys in one platform
- SmartStats Bayesian engine
- Visual editor for marketers
- Testing starts at $199 per month
- Free plan has been discontinued

AB Tasty is an experimentation and personalization platform for mid-market and enterprise teams, covering A/B, split URL, multivariate, and multi-page tests with a visual editor. Its personalization tools let teams show different content to segments based on behavior, traffic source, or past visits, which suits retailers and publishers with varied audiences. AI-assisted test ideas and dashboards help smaller CRO teams generate hypotheses.
The honest catch is pricing. AB Tasty is quote-based, with median annual deals reported in the tens of thousands of dollars, so it fits funded teams better than solo founders. Its 2026 combination with VWO also means buyers should ask how the two product lines will be sold going forward. For a mid-market team that values personalization alongside testing, AB Tasty belongs on the shortlist.
- Strong personalization and targeting
- A/B, split, and multivariate tests
- AI test ideas and analysis
- Quote-based pricing
- Enterprise-leaning cost for small teams
Convert Experiences is a privacy-focused A/B testing platform that appeals to teams in regulated industries and to European companies with strict data rules. It offers client-side and server-side tests, split URL and multivariate tests, multi-armed bandits, and price testing, without sampling visitor data on paid plans. That no-sampling stance matters when a test result must stand up to scrutiny.
The trade-off is cost transparency and ecosystem size. Pricing is quote-based, so small teams cannot budget from the site alone, and the template and integration library is smaller than the leaders. For a team where privacy and data control outrank a low entry price, Convert is a principled and capable choice.
- Strong privacy stance with no data sampling on paid plans
- Full-stack and client-side tests
- Price testing support
- Quote-based pricing
- Smaller template library than VWO or Optimizely
Kameleoon is an experimentation and personalization platform for larger marketing and product teams, with web tests, feature flags, server-side tests, and AI-driven analysis. Its targeting and personalization tools help teams run tailored experiences for segments, and its dashboards aim to surface winning variants faster than manual review. Starting at $495 per month, it sits between mid-market tools and full enterprise platforms.
The catch is scale. A team without enough monthly visitors will wait too long for a test to reach a reliable result, whatever the tool costs. Kameleoon suits companies with steady traffic, a dedicated optimization owner, and a need for AI-assisted analysis. Smaller teams should start with Zoho PageSense or GrowthBook and graduate later.
- AI-assisted analysis and personalization
- Feature experimentation plus web tests
- Strong targeting
- $495 starting price puts it out of small team reach
- Needs traffic to justify cost
Zoho PageSense is the budget pick on this list, starting at $17 per month on annual billing for 10,000 visitors, with a free plan for smaller use. It covers A/B and split URL tests, plus heatmaps, session recordings, funnels, and form analytics, which gives a small team most of what it needs to start optimizing. Zoho users benefit from shared login and data links across Zoho apps.
The honest catch is depth. PageSense lacks the advanced stats, feature flags, and governance of Optimizely or Statsig, and its visitor caps mean a growing site will need a higher tier. For a small business, a startup, or a Zoho shop testing its first landing pages, though, the price and simplicity are hard to beat.
- Very low starting price
- Heatmaps and session recordings included
- Fits Zoho users well
- Less depth than enterprise tools
- Best value depends on Zoho ecosystem use
Crazy Egg began as a heatmap tool and now adds A/B testing, split URL tests, and multi-armed bandit tests alongside recordings, surveys, and in-app analysis. That pairing helps a small team see where visitors click and scroll, form a hypothesis, and test a change without buying two tools. Setup is simple, and the interface favors marketers over statisticians.
The catch is tiering. The $29 starting plan covers heatmaps and basic tools, while A/B testing starts from $99 per month, so buyers should price the testing tier, not the entry tier. Crazy Egg also suits website tests better than product feature experiments. For a small marketing team that wants visual insight plus simple tests, it is a friendly and affordable pair.
- Simple A/B, split, and multi-armed bandit tests
- Heatmaps and recordings explain results
- Easy setup
- A/B testing sits on higher tiers from $99 per month
- Less suited to product feature flags
GrowthBook is an open source experimentation platform for product teams, covering feature flags, A/B tests, multi-armed bandits, and safe rollouts, with warehouse-native analysis options. Teams can self-host the open source version for free or use the cloud Pro plan from $40 per seat per month. That model appeals to engineering-led companies that want control over data and code.
The trade-off is effort. Self-hosting means updates and maintenance become your job, and the visual editor is lighter than a marketing-led tool such as VWO. For a product team that already runs feature flags and wants statistics it can audit, GrowthBook is excellent value. For a marketing team that wants a visual editor first, VWO or PageSense fits better.
- Open source core
- A/B, bandit, and holdout tests
- Pro from $40 per seat per month
- Self-hosting needs technical care
- Visual editor is lighter than VWO
Statsig combines product analytics with experimentation, letting product teams run A/B, multivariate, sequential, switchback, and holdout tests alongside funnel and retention analysis. The free tier helps a small team start, and Pro from $150 per month adds higher limits and support. That pairing suits teams that want to see how a winning variant affects long-term retention, not just a single conversion.
The honest catch is focus. Statsig is built for product and engineering teams, so a marketing team that mainly tests landing pages may prefer VWO or Crazy Egg. Pricing also rises with events and seats, so model a realistic month before committing. For a product-led company, Statsig gives analytics and testing in one workflow.
- Product analytics plus experimentation in one place
- Many test types
- Free tier for starting teams
- Pro starts at $150 per month
- Marketing page tests are not its main strength
How we picked these
We compared official feature pages, pricing disclosures, and test-type coverage, and we kept only tools live in October 2026 that genuinely run controlled experiments. We favored a mix of marketing-led, product-led, and budget tools, and we marked quote-based pricing as such rather than inventing a figure. We did not claim hands-on testing; our comparison rests on vendor pages and public pricing guides.
What to check before you buy
Start with traffic, because a test needs enough visitors to reach a reliable result in a reasonable time. A site with 2,000 monthly visitors will wait months for a small lift to show, whatever the tool, so low-traffic teams should test big changes or use a cheaper tool until traffic grows. Check whether pricing is set by visitors, seats, or events, and model the plan at your actual traffic, not at the demo traffic.
Next, check stats and integrations. Confirm that the tool connects to your analytics, tag manager, and content platform, and ask how it handles sample ratio mismatch, peeking, and segment analysis. Finally, run one real test end to end on a trial, from hypothesis to shipped winner, and judge the tool on how clearly it explains the result to a non-statistician.
Frequently asked questions
What is the best AB testing tool for a small business?
Zoho PageSense at $17 per month and Crazy Egg from $99 per month for A/B testing are strong small business picks, with GrowthBook free for product teams. Choose PageSense for landing pages, Crazy Egg for heatmaps plus tests, and GrowthBook for feature flags.
What are the best A/B testing platforms for enterprises?
Optimizely, VWO, AB Tasty, and Kameleoon lead for enterprises, with Optimizely as the benchmark for scale and governance. Compare quotes on the same traffic and seat count, because enterprise pricing varies widely.
How do AB testing tools reviews usually compare VWO and Optimizely?
Reviews tend to favor VWO for all-in-one marketing value and Optimizely for depth and scale. VWO suits a marketing team that wants research plus testing, while Optimizely suits a large program with many teams and feature experiments.
Is there a free AB testing platform?
Yes. GrowthBook offers a free open source plan, Statsig and Zoho PageSense offer free tiers, and Optimizely offers a free tier for feature experimentation. Free tiers have limits on traffic, seats, or features, so check the cap before building a program on one.
What is the difference between A/B testing and multivariate testing?
A/B testing compares two versions of a page or feature, while multivariate testing changes several elements at once to find the best combination. Multivariate tests need far more traffic to reach a reliable result, so most small teams should start with A/B tests.
Sources
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