A/B testing tools and software tests versions of webpages and digital experiences to promote the best outcomes. Marketers and web developers use A/B testing tools to deploy different versions of digital content, such as calls to action or images, and track which variation encourages more visitors to convert. Performance results can be combined with segmentation data (such as the visitor’s age, or whether they arrived via social media or search) to personalize experiences to each visitor. Marketers use these platforms to improve conversion rates and engage more of the visitors that interact with their brands online.
Testing and personalization platforms are deployed on top of web development infrastructure and web content management software, and they integrate with digital analytics software and heatmap tools to track visitor behavior.
To qualify for inclusion in the A/B Testing Tools category, a product must:
Conduct split-traffic experiments with defined, trackable goals to determine best performing web content
Deploy multiple versions of any web content in real time
Perform split-URL experiments
Adjust and manage traffic volume to experiment variations
Provide tools for both technical and non-technical users to perform tests