Optimize your website's performance by scientifically testing different versions to see which one converts better. Increase your conversion rates, reduce bounce rates, and improve user experience.
Start Your Free TestOur advanced A/B testing tool provides everything you need to make data-driven decisions for your website.
Track visitor behavior, conversions, and engagement metrics in real-time as your test runs.
Our tool calculates statistical confidence to ensure your results are reliable and actionable.
Target specific user segments based on demographics, behavior, or traffic sources.
Our optimized engine ensures minimal impact on your website's loading speed.
Download detailed PDF or CSV reports to share with your team or stakeholders.
Your data is encrypted and never shared with third parties. GDPR compliant.
Setting up your A/B test is simple and takes just a few minutes.
Provide the URLs for your original page and the variation you want to test.
Set your goals, target audience, and test duration. We'll handle the rest.
Start your test and watch as visitors are automatically split between variants.
View detailed analytics and statistical significance to determine the winner.
Enter the URLs for the two versions of your page you want to test.
Run an A/B test to see your results here.
Everything you need to know about A/B testing and our tool.
A/B testing (also known as split testing) is a method of comparing two versions of a webpage or app against each other to determine which one performs better. You compare two variants (A and B) by showing them to similar visitors at the same time and see which one achieves your desired goal (like increased conversions) more effectively.
The duration depends on your website traffic and the significance of the differences between variants. As a general rule, you should run your test for at least one full business cycle (usually 1-2 weeks) and until you reach statistical significance (typically 95% confidence level). Avoid stopping tests too early as this can lead to inaccurate results.
You can test almost any element on your website: headlines, copy text, call-to-action buttons, images, layouts, navigation, forms, pricing structures, and more. The key is to test one element at a time (for clear results) or use multivariate testing for multiple elements simultaneously.
This depends on your current conversion rate and the minimum detectable effect you want to measure. As a rule of thumb, you need at least 100 conversions per variant for statistical significance. Our tool will calculate the required sample size based on your specific parameters and alert you when you have enough data.
No! While e-commerce sites commonly use A/B testing to increase sales, any website can benefit. Blogs can test headlines to increase reads, SaaS companies can test signup forms to increase conversions, nonprofits can test donation pages to increase contributions, and media sites can test layouts to increase engagement.
Join thousands of businesses that use data-driven decisions to increase conversions and revenue.
In today's competitive digital landscape, even small improvements to your website can lead to significant gains in conversions, revenue, and customer satisfaction. A/B testing is the scientific method that allows you to identify what's working and what's not on your website—replacing guesswork with data-driven decisions.
Many website owners make changes based on personal preference, industry trends, or "best practices" they've read about. While these can be helpful starting points, they don't account for your specific audience, product, or market conditions. What works for one company might fail spectacularly for another.
A/B testing removes this uncertainty by letting your actual visitors determine which version performs better. Instead of relying on opinions, you collect empirical evidence about what resonates with your audience.
CTAs are the gateways to conversion, yet many websites use vague, uninspiring, or poorly placed buttons. A/B testing can reveal whether "Get Started Free" outperforms "Sign Up Now," or whether a green button converts better than a red one. You might discover that moving your CTA above the fold increases conversions by 30%.
Visitors should be able to find what they're looking for within seconds. A/B testing different navigation structures, menu labels, or search placements can dramatically reduce bounce rates and increase engagement. You might find that simplifying your menu from 7 items to 4 increases product page visits by 45%.
Your headline and subheadings should immediately communicate your unique value. A/B testing different messaging can uncover which value proposition resonates most with your audience. Perhaps "Save 3 hours every week" performs better than "Advanced productivity software" for your time management app.
Every additional field in a form can decrease conversions. A/B testing can identify which fields are essential and which are causing abandonment. You might discover that asking for a phone number reduces signups by 60%, or that breaking a long form into multiple steps increases completion rates.
Not all images are created equal. A/B testing different hero images, product photos, or video placements can reveal what visual content drives engagement. That professional stock photo might be less effective than a candid shot of real customers using your product.
"A/B testing is like having a direct conversation with your customers. Instead of asking them what they want (which often yields unreliable answers), you observe what they actually do."
While identifying and correcting errors is valuable, A/B testing offers several additional benefits:
E-commerce: An online retailer tests two product page layouts and discovers that showing customer reviews above the fold increases purchases by 27%.
SaaS: A software company tests different pricing page structures and finds that annual pricing displayed before monthly pricing increases annual subscriptions by 34%.
Nonprofit: A charity tests two donation page headlines and learns that "Your $50 gift provides clean water for a family for a year" outperforms "Donate Now" by 89%.
Media: A news site tests different newsletter signup placements and discovers that a slide-in popup after 60 seconds of reading converts 3x better than a sidebar widget.
The key to successful A/B testing is starting small and being systematic:
Remember that A/B testing is not a one-time activity but an ongoing process of optimization. The most successful companies have testing built into their culture, running multiple tests simultaneously and continuously iterating based on data.
With our Advanced A/B Testing Tool, you can start uncovering these insights today—no technical expertise required. Within minutes, you'll be on your way to fixing website mistakes, increasing conversions, and building a better experience for your visitors.