Split Testing (A/B Test)

• Optimization
• User Experience
• Conversion Rate

Split Testing, or A/B Testing, refers to a randomized experimentation process where two or more versions of a variable (e.g., a web page, ad, or email) are shown to different segments of visitors at the same time to determine which version performs better in terms of driving business metrics.

Problem it addresses

Improving conversion rates, engagement, or other key performance indicators (KPIs) can be challenging without understanding the impact of specific changes.

How it helps

A/B testing allows for data-driven decision-making by comparing the performance of different versions of a web page or marketing material. By analyzing which version achieves better outcomes, businesses can optimize user experience and increase the effectiveness of their digital assets.