A/B testing

Make decisions based on data and minimize risks before redesigning or changing the site.

What is A/B testing?

A/B testing is a method that allows you to practically determine which version of a webpage performs better. The concept is simple: visitors are randomly shown different versions of the same page — version A (the original) and version B (the modified variant). Then user actions are tracked:

  • whether more people click a button,
  • whether forms are filled out more frequently,
  • whether sales increase.

This way, you can objectively understand which changes truly impact results.

A/B testing is all about numbers and facts. It helps to:

  • minimize risks before implementing major changes,
  • test the effectiveness of new ideas without harming the business,
  • gain a clear understanding of your audience’s behavior.

This approach has long been a standard for companies that take website optimization seriously. It allows growth not chaotically, but systematically, based on real data.

A/B testing

A method that allows you to test different versions of a page or its elements (headings, buttons, forms) to find out what works best for your audience.

Test result

You get accurate data on user behavior and understand which version generates more clients, leads, or sales without extra spending on advertising.

Do you know any situations?

  • You don’t understand why your website is getting visitors but not generating customers.
  • People visit, but quickly leave your site and go to your competitors.
  • Your advertising eats up your budget, yet you’re not seeing any leads.
  • You’re not sure if a new design or copy will actually improve conversions.
  • Users get confused by your site’s structure and can’t find the information they need.

What about A/B testing for business?

  • To find the most effective headline.
  • To determine which button color drives more clicks.
  • To understand which order form is more user-friendly.
  • To increase your conversion rate without spending more on advertising.
  • To make decisions based on data, not intuition.

Advantages of A/B testing

  • More sales and leads from your existing traffic

You’re already investing in advertising and website promotion. A/B testing helps you make the most of that traffic: more visitors turn into customers without increasing your ad spend.

  • Minimize risks before a redesign or structural changes

A full redesign—or even a small change to a page layout—always carries the risk of losing conversions. With A/B testing, you can check which ideas actually improve results and implement only the ones that work.

  • Optimize your marketing spend

When each customer costs less, your marketing budget works harder. A/B testing helps reduce the cost per lead or sale while increasing the return on your advertising.

  • Test any idea in practice

No more guessing whether a new headline, a different button color, or a shorter form will work. Testing lets you compare real options under real conditions and see what users actually prefer.

  • Clear answers to “Why aren’t customers buying?”

A/B testing reveals the barriers that prevent users from making a purchase or submitting a form. It could be a form that’s too long, an unnoticed button, or a weak call to action. You get concrete insights that help improve user experience and boost conversions.

How do we work?

Data analysis and Ideas

We study your website, user behavior, and analytics. Then we develop hypotheses that could impact conversions—headlines, buttons, forms, and visual elements.

Offer multiple choices

We create alternative versions of the page or its individual elements and set them up so visitors see different variations.

Running the test and collecting data

The test runs with real users. We track behavior, conversions, and other key metrics to gather statistically significant results.

Conclusions and implementation

We select the winning variant, provide recommendations, and help implement the changes so you get the maximum benefit.

FAQ

The speed of results depends on two main factors: the number of visitors to your site and the complexity of the changes. With enough traffic, you can start noticing initial trends within 2–3 weeks. However, to draw statistically significant conclusions, it usually takes 1 to 3 months. During this time, we collect data, analyze user behavior, and implement changes that truly impact conversions. It’s important to understand that CRO is not an instant fix—it’s a systematic process that delivers long-term results.

  • Objective data: See what really works instead of relying on guesses.
  • Risk reduction: Test ideas in practice before making major changes.
  • Conversion growth: Even small changes in copy or design can deliver noticeable results.
  • Understanding user behavior: Gain clear insights into why people choose one option over another.

No. A/B testing works best when it focuses on the key elements that influence user decisions. These can include:

  • Headlines and subheadings
  • Buttons (text, color, placement)
  • Forms (number of fields, structure, design)
  • Banners, images, and visual blocks
  • Calls to action (CTAs)

Randomly testing everything only “dilutes” the results and makes analysis more difficult.

The duration depends on your traffic and chosen goal. To achieve statistically reliable results, it usually takes 2 to 4 weeks. On larger projects, it can be faster; on smaller ones, it may take longer. It’s important to gather enough data to ensure accurate conclusions.

Yes, traffic matters. A test requires a sample size large enough to produce statistically significant results.

If traffic is low, you can:

  • Run longer tests
  • Focus on more noticeable changes that will have a meaningful impact
  • Use combined methods, such as usability testing or user interviews

Not necessarily. A/B testing allows for targeted checks. For example, sometimes just changing a headline’s wording or a button’s placement can boost conversions. A full redesign can come later, but it’s always based on the results of smaller, focused tests.

A test is considered complete when:

  • Enough data has been collected
  • One version shows a statistically significant advantage
  • Seasonal factors or random events are not skewing the results

It’s important not to stop the test prematurely, even if the results seem “obvious.”

Yes, if your business gets at least a few thousand visitors per month and you’re planning to grow. A/B testing is especially effective for:

If your traffic is low, you can combine A/B testing with other analysis methods.

Not always. Simple changes—like button text or block color—can be handled without deep development. But if the test involves changing the site’s structure or adding new functionality, the technical team will need to be involved.

A/B testing doesn’t guarantee growth after every experiment. Some hypotheses may turn out to be wrong, and that’s normal. But thanks to testing, you gain valuable insights about your audience and gradually improve your site, which together lead to steady conversion growth.

Need a consultation?

Get in touch, and we’ll advise which changes on your site to test in order to boost conversions and get more customers from your traffic.

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