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With so many different A/B testing tools to choose from, figuring out which one is right for you is tough. You know you want a tool to help you run tests to figure out which version of your digital product performs better, but you need to figure out which tool is right for you. In this post, I'll help you make your choice easy by sharing my insights on the best A/B testing tools to manage live comparison tests and analyze the metrics, so you can hone in on the winning design, layout, or approach.

The Best A/B Testing Tools Comparison Chart

Here’s a comparison chart that summarizes basic details about each of my top A/B testing tool selections. You can view pricing details and the availability of free trials or demos side-by-side to help you find the best tool for your budget.

Overviews of the 10 Best A/B Testing Tools

Here’s a brief description of each A/B testing tool that showcases each tool’s best use case, their noteworthy features, and some pros & cons. I’ve also included screenshots to give you a snapshot of their user interface too.

Best for flexible statistical testing

  • Free trial available
  • From $15/month (billed annually)

Zoho PageSense is a conversion rate optimization (CRO) tool that lets you track how visitors behave on your website and test improvements. 

Why I picked Zoho PageSense: I picked Zoho PageSense because it supports both A/B and split‑URL testing, so you can experiment with minor edits or full redesigns without juggling different platforms. You also get to choose between Bayesian and Frequentist statistical models when running tests, giving your team flexibility in how results are evaluated.

Beyond testing variance, PageSense includes advanced goal tracking. You can monitor key actions—like form submissions or clicks—across traffic sources and time periods, and even view daily/hourly trends or visitor locations on a map.

Zoho PageSense Standout Features and Integrations

Features include smart funnel analysis, letting you build a multi‑step conversion path and see exactly where visitors drop off and why. The tool also provides scroll and attention maps, showing how users move through content and what they focus on.

Integrations include Google Ads, Intercom, KISSmetrics, Google Analytics, OpenAI, and various Zoho apps like Flow, CRM, Sales IQ, and Desk.

Pros and cons

Pros:

  • Supports a wide variety of tests
  • Provides detailed insights on visitor behavior
  • Great tool for mapping customer journey

Cons:

  • On-the-go reporting is limited
  • Could offer more native integrations outside of the Zoho ecosystem

Best A/B testing tool for flicker-free experiments

  • Free demo available
  • Pricing upon request
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Rating: 4.7/5

Kameleoon is a web experimentation platform that helps you unlock growth on web channels while maintaining data accuracy, high levels of performance, and strict privacy.

Why I picked Kameleoon: The software is designed to be flicker-free, guaranteed, so your experiments don’t affect user behavior. Yet pages still load fast to ensure a quality experience for website visitors. 

You can use the SPA-compatible smart graphic editor to build tests, or deploy experiments from your preferred coding environment. You can also build audience segments using over 45 native targeting criteria. It’s also easy to toggle between native goals and your preferred analytics solution.

Kameleoon Standout Features and Integrations

Features unlimited experiments, AB testing, multivariate testing, server-side testing, a developer-friendly code editor, a large widget library, audience segmentation, and dynamic traffic allocation. 

Integrations include Adobe Analytics, Amplitude, CrazyEgg, HotJar, Klaviyo, Mouseflow, Piano, Tealium, Trust Commander, and UserCentrics.

Pros and cons

Pros:

  • Excellent graphical editor
  • Easy implementation
  • Extensive feature set

Cons:

  • Some technical knowledge required
  • Prioritizing projects can be difficult

Best A/B testing tool for a Bayesian statistics engine

  • Free demo available
  • From $50/month (billed annually)
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Rating: 4.5/5

AB Tasty helps you test your website or mobile app, so you can drive the highest possible return on investment from your new features, better copy, or improved design.

Why I picked AB Tasty: AB Tasty is powered by a Bayesian statistics engine to give you all the data you need to make informed decisions. You can leverage advanced features such as gain probability and median value to correctly assess the impact of each experiment. Once you have a clear winner, you can update your website with the winning variation. 

Using the ROI dashboard, it’s easy to track the import of tests compared to the original. You can attribute gains in revenue to your experiments by campaign and time period, to get a clear picture of ongoing optimizations.

AB Tasty Standout Features and Integrations

Features include web experiments, mobile experiments, confidence level, multivariate testing, a WYSIWYG editor, a test library, targeting, user data, and monitoring.

Integrations include Adobe Audience Manager, Amplitude, Didomi, Full Story, Google Analytics, Heap, Infinity, Mixpanel, Segmentio, and Tealium.

Pros and cons

Pros:

  • Infinitely flexible
  • Plugins extend the feature set
  • Easy to use widgets

Cons:

  • Experiments affect loading times
  • Advanced tests require coding

Best A/B testing tool for aggregation experiment metrics

  • 30-day free trial + free plan available
  • From $173/month (billed annually)
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Rating: 4.3/5

VWO (Visual Website Optimizer) is an A/B testing and conversion optimization platform designed for businesses of all sizes. 

Why I picked VWO: The platform allows businesses to create and run experiments to optimize website performance and user engagement, using a range of testing methods. VWO also includes a range of features enabling businesses to gain insights into user behavior and identify areas for improvement.

You can import and aggregate all the metrics that are important to your business, then measure how they are affected by your experiments. The software tracks both leading and lagging indicators for your experiments. It also monitors ‘guardrail metrics’ to ensure that badly failing experiments are stopped quickly. 

VWO Standout Features and Integrations

Features include A/B testing, multivariate testing, split URL testing heatmaps, visitor recordings, and form analytics.

Integrations include 6Sense, AT Internet, Adobe Analytics, BlueConic, Contentsquare, FullStory, Heap, Kissmetrics, Snowplow, and WhatConverts.

Pros and cons

Pros:

  • Form analytics
  • Excellent behavior insights
  • Powerful analytics and reporting

Cons:

  • Setup requires resources and investment
  • The user interface is not intuitive

Best A/B testing tool for front-end A/B and multi-page experimentation

  • Free demo available
  • Pricing upon request
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Rating: 4.2/5

Optimizely is an enterprise-level experimentation platform that helps businesses optimize their digital experiences through A/B testing, personalization, and analytics. 

Why I picked Optimizely: The platform enables businesses to test and launch new features, improve website performance, and drive conversions. It offers a wide range of features, integrations, and support options to help businesses create and manage complex experimentation strategies.

This front-end A/B and multi-page experimentation product lets you safely run multiple experiments on the same page. As well as leveraging advanced experimentation you can use personalization to create better customer experiences. You can deliver targeted messaging, personalized offers, and recommend the most relevant content for your users.

Optimizely Standout Features and Integrations 

Features include exclusion groups, A/B testing, personalization, multivariate testing, feature flagging, audience targeting, analytics and insights, real-time performance monitoring, and collaboration tools.

Integrations include Acumatica, Aprimo DAM Connector, Coreware, Delighted, FullStory, Magento, OpenPay, PunchOut, Shopify Plus, and Weld.

Pros and cons

Pros:

  • Extensive online documentation
  • Integrations with existing workflows
  • Powerful audience targeting

Cons:

  • Can be expensive for SMBs
  • Pricing plans are confusing

Best A/B testing tool for AI-powered predictions

  • Free demo available
  • Pricing upon request

Yieldify is an A/B testing platform that allows you to conduct experiments on any aspect of personalization, from designs and formats to copy and advanced targeting rules.

Why I picked Yieldify: This platform uses an AI-prediction engine to accelerate the testing process. You can focus on the tests most likely to work and get meaningful results faster. The machine learning software allows you to run several A/B tests concurrently or run multiple variants in the same confidence test.

Yieldify is also designed to surface problem results. You can run incremental control testing, measuring experiences against a control group who see no personalization. 

Yieldify Standout Features and Integrations

Features include A/B/control tests, A/B/n tests, AI-powered predictions, a visual editor, test scheduling, surveys, statistical relevance analysis, split testing, funnel analysis, qualitative and quantitative experiments, and audience targeting.

Integrations include ActiveCampaign, Aircall, CampaignMonitor, FastSpring, IBM Watson, Iterable, Oracle NetSuite, Salesnexus, SendGrid, and Webflow.

Pros and cons

Pros:

  • Advanced segmentation
  • Precise targeting
  • Excellent reporting features

Cons:

  • Integrating with email can be tricky
  • Occasional campaign glitches

Best A/B testing tool for better product observability

  • Free plan available
  • Pricing upon request

Statsig is a feature flagging and experimentation platform designed for software development teams to test and launch new features with a data-driven approach. 

Why I picked Statsig: This tool allows developers and product managers to measure feature launches, run A/B experiments, and dynamically control the release of features to different user segments. Statsig is designed to integrate into existing workflows, providing comprehensive analytics tools and reporting to help teams make data-driven decisions.

The software deploys product observability to improve results. This technology combines experimentation with real-time analytics to give you a 360° view of your product and business. Statsig serves all your experimentation needs with a unified platform that connects what you build with the impact you deliver.  

Statsig Standout Features and Integrations

Features include feature flagging, A/B testing, dynamic configuration of feature flags, support for multiple languages, custom user targeting, comprehensive analytics, and multi-platform capabilities.

Integrations include Amplitude, Datadog, Discord, Google Analytics, Jira, Heap, LogDNA, Microsoft Teams, RevenueCat, and Slack.

Pros and cons

Pros:

  • Advanced analytics
  • Custom user targeting
  • Integrates into existing workflows

Cons:

  • Performance issues with complex experiments
  • Requires tech expertise

Best A/B testing tool for knowledge-based experiments

  • Free demo available
  • Pricing upon request

A/B Smartly is a knowledge-based and engineering-centric experimentation platform that can be used to run hundreds of simultaneous experiments. The platform gives full transparency to all stakeholders and complete visibility into possible interactions.

Why I picked A/B Smartly: A/B Smartly is a cloud-based experimentation platform that supports data sinks such as Redshift, BigQuery, Snowflake, Hadoop, S3, Apache Druid, ClickHouse and more to come.

Thanks to the low latency, you can start an experiment and see the data immediately. That means you can use the testing capabilities to quickly identify breakages or strange visitor behavior to stop bad experiments in seconds. 

A/B Smartly warns you automatically about problems such as sample ratio mismatches, novelty effects, trigger day effects, deeps, or spikes. You can also add your own custom guardrails to ensure your experiments stay on track. You can run thousands of simultaneous A/B tests across your infrastructure with reliable results. 

A/B Smartly Standout Features and Integrations

Features include support for multiple data sinks, real-time reports, usability reports, sub-minute dashboard latency, automatic warnings, and custom guardrails. 

Integrations are available for tools such as Segment. Other platforms can be integrated using Zapier.

Pros and cons

Pros:

  • Detailed analytics
  • Great templates
  • Easy to use

Cons:

  • The user interface needs improvement
  • Sometimes unstable and buggy

Best A/B testing tool for programmatic conversion rate optimization

  • Free demo
  • Pricing upon request

Intellimize uses automation to help businesses optimize their websites quickly, yet with the flexibility to adapt to changing environments.  

Why I picked Intellimize: Using Intellimize, you can dynamically personalize your website at scale to convert much more traffic. Thanks to AI-driven continuous conversion technology, it’s simple to apply flexible rules across your tests. You can create website experiments using a WYSIWYG editor, so you have the freedom to personalize and test any elements on any page. 

You can also set a sitewide optimization goal or specific page goals. These drive page-level engagement that’s aligned with your business objectives. You can get up to speed quickly, setting up live tests that run through unlimited variations simultaneously.

Intellimize Standout Features and Integrations

Features include AI-driven optimization, A/B testing, rules-based personalization, audience insights, AI-powered copy suggestions, 1-click integrations, and a holistic dashboard.

Integrations include 6Sense, Clearbit, Google Analytics, Marketo, Mixpanel, RollWorks, and Segment. 

Pros and cons

Pros:

  • Specific user targeting
  • Great personalization options
  • Content personalization

Cons:

  • Settings can be confusing
  • Experiments may go live prematurely

Best A/B testing tool for experiments built into a CRM

  • 14-day free trial
  • From $147/user/month

ClickFunnels is a comprehensive digital marketing system and CRM that includes advanced A/B testing features. You can split-test multiple variations of your pages, offers, and messages to get the most from your marketing campaigns. 

Why I picked ClickFunnels: Using ClickFunnels, you can test multiple variations in real time. You can test a single page, a complete funnel, or an entire workflow. For landing pages, you have the option to run experiments on headlines, messaging, and page layout.

ClickFunnels also allows you to test your emails against each other to find winners and optimize your follow-up campaigns. You can test subject lines, CTA options, messages, links, and email designs to maximize click-through rates.

ClickFunnels Standout Features and Integrations

Features include A/B testing, multivariate testing, email experiments, funnel testing, analytics, workflows, call-to-action testing, and price testing.

Integrations include ActiveCampaign, HubSpot, Keap, Mailshake, PayPal, Recurly, SendLane, Stripe, and WebinarJam.

Pros and cons

Pros:

  • Modern design
  • Easy to set up
  • Integrated into the ClickFunnels CRM

Cons:

  • Pages may load slowly
  • Limited testing features

Other A/B Testing Tools

Here are a few more solid options that didn’t make the best A/B testing tools list:

  1. Freshmarketer

    A/B testing tool for session replays

  2. LaunchDarkly

    A/B testing tool for intuitive experiments

  3. Tggl

    For safe, fast code releases with feature flags

  4. Crazy Egg

    A/B testing tool for rapid setup

  5. Omniconvert

    A/B testing tool for a powerful segmentation engine

  6. Instapage

    A/B testing tool for split-testing with heatmaps

  7. Convertize

    A/B testing tool for an intuitive, visual page-editor

  8. Oracle Maxymiser

    A/B testing tool for in-session personalization

  9. Adobe Target

    A/B testing tool for everything from web to IoT

  10. Apptimize

    A/B testing tool for optimizing customer journeys across all channels

AB Testing Tool Selection Criteria

When selecting the best AB testing tools to include in this list, I considered common buyer needs and pain points like ease of integration and the ability to interpret test results effectively. I also used the following framework to keep my evaluation structured and fair:

Core Functionality (25% of total score)
To be considered for inclusion in this list, each solution had to fulfill these common use cases:

  • Conduct A/B tests
  • Analyze test results
  • Segment audiences
  • Provide real-time reporting
  • Integrate with other tools

Additional Standout Features (25% of total score)
To help further narrow down the competition, I also looked for unique features, such as:

  • Multivariate testing
  • AI-driven insights
  • Visual editor for tests
  • Cross-device testing
  • Predictive analytics

Usability (10% of total score)
To get a sense of the usability of each system, I considered the following:

  • Intuitive interface
  • Easy navigation
  • Minimal learning curve
  • Clear documentation
  • Responsive design

Onboarding (10% of total score)
To evaluate the onboarding experience for each platform, I considered the following:

  • Availability of training videos
  • Interactive product tours
  • Access to templates
  • Onboarding webinars
  • Supportive chatbots

Customer Support (10% of total score)
To assess each software provider’s customer support services, I considered the following:

  • 24/7 support availability
  • Multiple support channels
  • Response time
  • Quality of help documentation
  • Availability of a dedicated account manager

Value For Money (10% of total score)
To evaluate the value for money of each platform, I considered the following:

  • Competitive pricing
  • Feature set for the price
  • Flexibility of pricing plans
  • Discounts for long-term commitments
  • Free trial availability

Customer Reviews (10% of total score)
To get a sense of overall customer satisfaction, I considered the following when reading customer reviews:

  • Overall satisfaction rating
  • Commonly reported issues
  • Praise for specific features
  • Feedback on customer support
  • Perceived value for money

How to Choose AB Testing Tool

It’s easy to get bogged down in long feature lists and complex pricing structures. To help you stay focused as you work through your unique software selection process, here’s a checklist of factors to keep in mind:

FactorWhat to Consider
ScalabilityCan the tool handle your current and future needs? Consider the volume of tests and data you expect. Look for tools that grow with your business without significant extra costs or technical hurdles.
IntegrationsDoes the tool integrate with your existing systems like CRM, analytics, or marketing platforms? Ensure seamless data flow and avoid disruptions in your workflow. Check for native integrations and the ability to connect via APIs.
CustomizabilityHow flexible is the tool in adapting to your specific processes? Look for options to customize dashboards and reports. Ensure it can tailor experiments to fit your unique business goals.
Ease of useIs the tool intuitive for your team? Check for a user-friendly interface and straightforward navigation. Consider the learning curve and whether extensive training is required.
Implementation and onboardingHow quickly can you get up and running? Evaluate the resources and support available during setup. Look for tools offering comprehensive onboarding, including tutorials and live support.
CostDoes the pricing align with your budget? Consider total costs, including setup fees, monthly charges, and any hidden costs. Compare pricing tiers and check if the features you need are included in the base price.
Security safeguardsAre your data and user privacy protected? Look for tools with strong security measures like encryption, access controls, and compliance with data protection regulations. Ensure they have a clear privacy policy.
Support availabilityWhat level of support does the vendor provide? Check for 24/7 support, dedicated account managers, and the availability of multiple support channels like chat, email, and phone. Ensure timely and effective assistance when issues arise.

What Are AB Testing Tools?

AB testing tools are software products used to compare two versions of a webpage, app, or campaign to see which one performs better. The insights come from real user actions, helping teams make clearer and more effective decisions.

Marketing professionals, product managers, and UX designers use these tools to improve user experience, increase conversions, and refine digital strategies. By testing small updates and tracking results, they can understand what truly engages users and create better-performing products or campaigns.

Features

When selecting AB testing tools, keep an eye out for the following key features:

  • Split testing: Allows comparison between two or more versions of a webpage or app to see which performs better, providing insights for optimization.
  • Real-time analytics: Offers immediate data on test performance, helping users make quick, informed decisions.
  • Audience segmentation: Enables targeting specific user groups to tailor experiences and improve engagement.
  • Visual editor: Provides a user-friendly interface to set up tests without needing coding skills, simplifying the testing process.
  • Multivariate testing: Tests multiple variables simultaneously to understand complex interactions and optimize user experience.
  • Feature flagging: Lets users control the release of new features, ensuring smooth rollouts and minimizing risks.
  • Predictive analytics: Uses data to forecast outcomes, helping teams anticipate user behavior and refine strategies.
  • Customizable dashboards: Allows users to tailor data views to their needs, making it easier to track and analyze results.
  • Heatmaps: Visualizes user interactions on a page, offering insights into user behavior and areas for improvement.

Benefits

Implementing AB testing tools provides several benefits for your team and your business. Here are a few you can look forward to:

  • Improved decision-making: Real-time analytics and data-driven insights help your team make informed choices that enhance user experiences.
  • Increased conversion rates: Split testing and audience segmentation enable you to optimize pages and apps, leading to higher engagement and conversions.
  • Risk reduction: Feature flagging allows for controlled feature rollouts, minimizing the chance of negative impacts on your users.
  • Enhanced user targeting: Audience segmentation lets you deliver personalized experiences, improving user satisfaction and retention.
  • Better resource allocation: Predictive analytics help anticipate outcomes, allowing your team to focus efforts on strategies that are likely to succeed.
  • Time efficiency: Visual editors and customizable dashboards simplify the setup and monitoring of tests, saving time and effort.
  • Insightful user behavior analysis: Heatmaps provide a clear view of user interactions, helping you identify areas for improvement and optimize accordingly.

Costs & Pricing

Selecting AB testing tools requires an understanding of the various pricing models and plans available. Costs vary based on features, team size, add-ons, and more. The table below summarizes common plans, their average prices, and typical features included in AB testing tools solutions:

Plan Comparison Table for AB Testing Tools

Plan TypeAverage PriceCommon Features
Free Plan$0Basic split testing, limited analytics, and community support.
Personal Plan$20-$50/user/monthAdvanced split testing, basic audience segmentation, and email support.
Business Plan$100-$300/user/monthFull analytics, multivariate testing, feature flagging, and priority support.
Enterprise Plan$500+/user/monthCustom integrations, dedicated account manager, predictive analytics, and 24/7 support.

AB Testing Tools FAQs

Here are some answers to common questions about AB testing tools:

How do AB testing tools handle data privacy?

Yes, most AB testing tools comply with data privacy regulations like GDPR and CCPA. They typically offer features to anonymize user data and provide options to manage user consent. When choosing a tool, check if it offers customizable privacy settings and read their privacy policy to ensure it aligns with your company’s needs.

Can I use AB testing tools without technical skills?

Yes, many AB testing tools are designed for non-technical users. They often include drag-and-drop editors and visual interfaces that let you set up tests without coding. However, understanding basic concepts of testing and data analysis will help you get the most out of these tools.

What types of tests can I run with AB testing tools?

With AB testing tools, you can run various tests like A/B, multivariate, and split URL tests. A/B tests compare two versions of a page, multivariate tests examine multiple elements, and split URL tests compare different URLs. Choose the test type based on your goals and resources.

How long should an AB test run?

The duration of an AB test depends on your traffic and goals. Generally, tests should run for at least two weeks to gather sufficient data. Avoid ending tests too early, as this can lead to inaccurate results. Use statistical significance as a guide to determine when to conclude a test.

What’s Next:

If you're in the process of researching AB testing tools, connect with a SoftwareSelect advisor for free recommendations.

You fill out a form and have a quick chat where they get into the specifics of your needs. Then you'll get a shortlist of software to review. They'll even support you through the entire buying process, including price negotiations.

Tim Fisher
By Tim Fisher

Tim brings over two decades of experience leading at the crossroads of tech, editorial, and AI innovation. From launching and scaling Lifewire into a top-ranked tech site, to spearheading AI operations at People Inc., he’s spent his career building systems that connect people with smarter solutions. His favorite problems are the ones that unlock new possibilities when properly solved. For Tim, problems are just undiscovered opportunities, and AI has opened the door to solving challenges once thought immovable. When he’s not tinkering with large language models, Tim is either re-reading Project Hail Mary, or eating Mexican food.