A/B testing discovers how conversion optimization really works
About A/B testing
A/B testing is the method to discover with certainty which versions of your website, landing page or campaign perform best. By testing different versions of your website side by side, you get hard data instead of assumptions.
The result: more conversion, less noise and a strategy that is proven to work. A/B testing helps determine what works and what doesn’t in digital marketing. At OMA, we use A/B testing cleverly to better understand your target audience and optimize your digital channels step by step.
Description of A/B testing
With A/B testing, you make decisions based on facts, not feelings. Whether it’s a call to action button, the headline of a landing page or the order of steps in the checkout: small differences can have a big impact. We help you formulate hypotheses, set up the right test and translate the results into concrete improvements. This way, you develop a conversion-oriented approach within your online marketing that continuously improves.
What to expect:
- Analysis of current performance and bottlenecks
- Hypothesis formation and test design
- Technical implementation of the A/B test, for example with tools such as Google Optimize or HubSpot that allow you to easily create and test different variants
- Monitoring and interim reports
- Clear recommendations and optimizations afterwards
Sample applications:
- Optimization of call-to-actions (CTAs)
- Comparison of landing page variants
- Testing email campaigns and subject lines
- Checkout and form optimization
- Layout and design variations in UX and UI
Our working method
- Analysis & hypothesis – We examine your current results and determine which component or variables you want to test. This can be one component, such as the color of a button, or several elements at once.
- Test design – Together we choose the two variants to be tested and define clear success criteria, such as conversion rate or click through rate. We also define the duration of the test to ensure reliable results.
- Implementation – We set up the test technically so that the data is reliable. This means that half of the visitors see version A and the other half see version B, without knowing that they are participating in a test.
- Results & insight – We analyze the data and draw conclusions about which version performs best and has the most effect on your conversion.
- Optimization – We translate insights into structural improvements that increase your conversion rate. Keep testing is essential here to achieve better and better results.