A/B Testing Tools
A/B Testing Tools
In the rapidly evolving world of digital marketing, A/B testing remains a critical strategy for boosting conversion rates. We've compiled a concise list of the top 10 A/B testing tools. These tools are poised to revolutionize conversion optimization, offering a range of features to help you make data-driven decisions and enhance your online success. Join us as we explore these innovative solutions.
What are A/B testing tools?
Providing a seamless customer experience is critical for driving conversions, but you can’t deliver without knowing which digital elements are delighting users—and which are getting in their way.
That’s where A/B testing comes in—a process for creating and testing different variations of the same element and to determine which one prompted the most engagement. It’s also one of the quickest ways to gain insight into sources of friction users may be encountering at different stages of the digital journey. Dive into the fundamentals with our A/B testing guide here.
A/B testing tools enable you to
Discover how to improve conversion rates
Provide better digital experiences
Better understand how your customers prefer to use your product or service
Effective A/B testing requires the right technology for your team, goals and the type of data you’re looking to unearth. Fortunately, there’s no shortage of A/B testing tools offering a wide range of features and functionality—from simple testing to advanced Bayesian statistics and everything in between. In this quick guide, we’re rounding up our top 10 A/B testing tools to help you drive more conversions in 2023.
The best A/B testing tools to consider
Here are some popular and highly rated A/B testing tools to consider.
AB Tasty
AB Tasty is a comprehensive testing platform that supports A/B tests, split tests and multivariate tests on any device. Its engagement-based and psychographic segmentation feature can quickly deploy custom messages, features and functionalities to specific audiences. This A/B testing tool also includes a visual editor and can integrate existing data to provide for deeper insights.
Key features
A/B, split and multivariate testing
Audience segmentation and targeting
Cross-device optimization
Bayesian testing
Key integrations
Glassbox
Oracle
Salesforce
Mixpanel
Pricing
Not publicly available
Rating
4.5 out of 5 stars, based on 100+ verified customer reviews on G2
Adobe Target
Adobe Target is an A/B testing tool created for enterprise organizations. Teams can perform A/B tests and multivariate tests, as well as customize test settings, objectives and segmentation. Adobe Target leverages AI to enable test personalization for every user. It also plays nicely with other enterprise tools like Salesforce and Pardot.
Key features
A/B and multivariate testing
QA testing
Segmentation
Reporting and dashboards
Standard and custom targeting
Key integrations
Salesforce
Atlassian Confluence
Microsoft Dynamics 365
Pardot
Pricing
Not publicly available
Rating
3.9 out of 5 stars based on 40+ verified customer reviews on G2
Apptimize
Apptimize is a mobile-first A/B testing tool geared toward app testing and development. As a cross-platform solution, Apptimize enables teams to see if and how a change on one channel impacts performance on others. You can also manage all your A/B tests from a single dashboard.
Key features
A/B, split and multivariate testing
Visual editor
Activity dashboard
Audience targeting
Campaign segmentation
Key integrations
Adobe Marketing Cloud
Amplitude
Google Analytics
Mixpanel
Pricing
Not publicly available
G2 Rating
4.2 out of 5 stars based on 18+ verified customer reviews on G2
Convert
Convert Experiences is an “enterprise-grade” A/B testing tool that supports a wide range of tests, including A/B testing, split testing, multivariate testing and multipage testing. Bonus: multiple pricing tiers—starting as low as $99 per month—makes that platform accessible to smaller teams as well.
Key features
A/B, split and multivariate testing
AI/machine learning
Concurrent testing
Mobile testing
Reporting and analytics
Key integrations
6sense
Google Analytics
WordPress
Pricing
$99-$1,119 per month (billed annually). Enterprise pricing is available upon request.
Rating
4.7 out of 5 stars based on 40+ verified customer reviews on G2
Crazy Egg
Crazy Egg isn’t overloaded with bells and whistles. Instead, it focuses on the core essentials—like A/B testing, heatmaps and reporting—all wrapped up in a clean, intuitive interface. However, Crazy Egg also has some additional features up its sleeve, like no-code testing environments, session replays and user satisfaction surveys. It also easily syncs Shopify, making Crazy Egg compatible with e-commerce brands.
Key features
A/B testing
Heatmaps
Visitor recordings
Session replay
Surveys
Key integrations
WordPress
Squarespace
Magento
Shopify
Wix
Pricing
$29-$249 per month
G2 Rating
4.2 out of 5 stars based on 100+ verified customer reviews on G2
Kameleoon
Kameleoon's A/B testing solution makes it easy for companies to test and optimize every digital experience. Kameleon offers unlimited A/B and multivariate test variations and uses AI to identify visitors’ preferences and intentions in real time so you can offer tailored experiences.
Key features
Unlimited A/B and multivariate testing
Audience segmentation
Smart editor
Large widget library
Key integrations
Adobe Analytics
Adobe Audience Manager
Amplitude
Shopify
Visual Studio
Pricing
Not publicly available
Rating
4.7 out of 5 stars, based on 36 verified customer reviews on G2
UsabilityHub
UseabilityHub is a design-focused testing platform with some unique features, including prototype testing, first click tests and drag-and-drop test builders. It also supports five-second tests — the testing equivalent of a lightning round. Users have five seconds to look at a webpage and then answer a series of questions, enabling teams to determine if their intended message was communicated effectively.
Key features
Five-second tests
Visual test builder
UI design preference tests
Design surveys
Word cloud visualization
Key integrations
Asana
Airtable
G Suite
Pricing
Free plan; Paid plan from $75-175 per month (billed annually); Enterprise pricing available upon request
Rating
4.3 out of 5 stars based on 10+ verified customer reviews on G2
Optimizely
Optimizely is geared toward large enterprises with high traffic volume. The A/B testing tool supports a vast range of experiments, personalization and reporting capabilities, but also features a user-friendly interface and visual editor for easy collaboration and management.
Key features
A/B and multivariate testing
Server-side testing
Visual editor
Feature experimentation
Advanced personalization
Advanced targeting
Omnichannel experimentation
Key integrations
Shopify
Microsoft Office
MobilityeCommerce
WordPress
Adobe
Pricing
Not publicly available
Rating
4.2 out of 5 stars based on 300+ verified customer reviews on G2
VWO
VWO is a cloud-based A/B testing platform for enterprise organizations. In addition to traditional A/B testing, it can support multivariate testing and the Bayesian statistical approach,
which incorporates data from similar, previous experiments into current tests. VWO also has an intuitive visual editor, making the tool more accessible to non-technical users.
Key features
A/B, split and multivariate testing
Audience targeting
Heatmaps
Visual editor
Funnel analysis
Key integrations
Magento
WordPress
BigCommerce
Instapage
Joomla
Pricing
Not publicly available
Rating
4.3 out of 5 stars based on 400+ verified customer reviews on G2
Zoho PageSense
Zoho PageSense is a conversion optimization and personalization platform that combines web analytics, A/B testing and personalization. Its heatmap, funnel analysis and A/B testing features help teams understand user behavior and offer a personalized customer experience.
Key features
Form analytics
Heatmaps
Personalization
Polls
Web analytics
Key integrations
Google Tag Manager
Google Analytics
Google Ads
KISSmetrics
Mixpanel
Pricing
$12-$780 per month (billed annually)
Rating
4.2 out of 5 stars based on 25 verified customer reviews on G2
How to choose an a/b testing tool
There are a lot of A/B tools out there, and it’s easy to get overwhelmed. Some may be insufficient—and others might be overkill. Before you jump in and start comparing features, check out our short guide to help you make an informed decision:
Define Your Goals: Start by understanding your objectives. Determine what you want to achieve through A/B testing. Is it higher conversion rates, increased engagement, or improved user experience?
Ease of Use: Look for a tool that suits your team's technical expertise. It should be user-friendly and offer an intuitive interface.
Feature Set: Consider the features that matter most to you. Common features include A/B and multivariate testing, segmentation, personalization, and analytics. Ensure the tool aligns with your specific needs.
Integration: Check if the tool integrates seamlessly with your existing software stack. Compatibility with your content management system (CMS) and other marketing tools is essential.
Traffic Capacity: Assess the tool's ability to handle your website's traffic volume. Ensure it can accommodate your current traffic and any potential growth.
Statistical Significance: Look for a tool that provides reliable statistical analysis. It should help you determine when your test results are statistically significant to make data-driven decisions.
Customization Options: Consider whether the tool allows you to create and customize experiments that match your website's design and branding.
Support and Training: Evaluate the level of customer support and training provided by the tool's provider. Reliable support can be crucial when you encounter issues or have questions.
Cost: Understand the pricing structure, including any hidden fees. Ensure the tool fits your budget, considering both short-term and long-term costs.
Case Studies and Reviews: Look for case studies and user reviews to gauge the tool's effectiveness and reputation within your industry.
Security and Compliance: Ensure the tool complies with data privacy regulations like GDPR and offers robust security measures to protect your data.
Trial Period: Whenever possible, opt for tools that offer a free trial period. This allows you to test the tool's compatibility with your needs before committing.
Scalability: Consider how well the tool can scale as your business grows. It should accommodate your evolving requirements.
Feedback Loops: Choose a tool that encourages collaboration and feedback among team members to foster a culture of continuous improvement.
Vendor Reputation: Research the reputation and track record of the tool's vendor. Established and trusted providers often deliver more reliable solutions.
By following these steps and carefully evaluating your options, you can select an A/B testing tool that aligns with your objectives and helps you achieve meaningful improvements in website performance and conversion rates.
FAQs
Frequently Asked Questions about A/B Testing Tools and Software.
What is an A/B testing tool?
An A/B testing tool is a software program or service that enables businesses and marketers to test different variations of their content and measure which version performs better. This technique involves creating two versions of a web page, email, or advertisement, with one key difference between them (such as a different headline or call-to-action button). The A/B testing tool then randomly shows each version to a portion of the audience and tracks user behavior to determine which version is more effective in achieving the desired goal (such as clicks, conversions, or engagement).
Why do I need an A/B testing tool?
An A/B testing tool can be an invaluable asset for businesses, marketers and product teams looking to improve their product and increase engagement/conversions. Here are a few reasons as to why you might need an A/B testing tool:
1. Make data-driven decisions
2. Optimize digital experiences for both potential customers and existing customers
3. Improve conversion rates
4. Increase engagement
5. Save time and money
What tools are used for A/B testing?
There are a range of tools available for A/B testing, they can typically be categorised as follows:
1. Research tools: Tools which are used to surface the insights required to fuel a comprehensive experimentation strategy. These tools range from analytics tools, user testing/research tools to comprehensive solutions such as digital experience intelligence.
2. A/B test creation and execution tools: These tools are specifically used to create, execute and measure A/B tests. These tools offer a platform to present multiple versions of content during testing, as well as the necessary functions to analyze the results and determine the most effective option. Optimizely and VWO are two examples of such tools.
Expert tip: To get the most out of your experimentation strategy, a combination of the tools and functions above should be used. Check out our comprehensive guides on A/B testing and CRO strategy for further information on how to design and execute effective experiments and drive better results for your business.