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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:
This way, you can objectively understand which changes truly impact results.
A/B testing is all about numbers and facts. It helps to:
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.
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.
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.
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.
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.
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.
We study your website, user behavior, and analytics. Then we develop hypotheses that could impact conversions—headlines, buttons, forms, and visual elements.
We create alternative versions of the page or its individual elements and set them up so visitors see different variations.
The test runs with real users. We track behavior, conversions, and other key metrics to gather statistically significant results.
We select the winning variant, provide recommendations, and help implement the changes so you get the maximum benefit.
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.
No. A/B testing works best when it focuses on the key elements that influence user decisions. These can include:
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:
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:
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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