How A/B testing works

In A/B testing, you create two (or more) variants of a page.
Visitors are randomly shown one version. After sufficient traffic, you can see which variant performs better.

This can be measured on:

• clicks
• form submissions
• scroll behavior
• conversions

What you can test

You can test small or larger adjustments, depending on your goal.

Think of:

• different headlines
• a different order of content
• different call-to-actions
• color or style variants

Even small changes can make a big difference.

When is A/B testing meaningful?

A/B testing is especially effective if you:

• have enough visitors
• are unsure between multiple choices
• use landing pages for campaigns
• want to optimize step by step

It is not a one-time action, but a way of improving.

Technically well integrated

We ensure that A/B testing:

• does not negatively impact performance
• is measured correctly
• works well with analytics and SEO

This way, you keep improving without risk.

Who is this suitable for?

A/B testing is interesting if you:

• want to get more conversions from your website
• want to make decisions based on data
• continue to optimize after going live