Ability to optimize user experience for individual site visitors based on certain characteristics and past actions (e.g. past purchases, geolocation, demographics, device type, referral source, etc..). An example of this is product and/or content recommendations based on visitor characteristics.
Category average: 8.4
Create and test variations of a website, changing site elements such as headlines, CTAs, images, page design and layout, technical SEO changes, and new feature additions and collect statistical results of each variation’s conversion rates or other metrics.
Category average: 8.9
Ability to schedule experiments to run, or not run, during specific times (e.g. Not to run during a holiday weekend or while a site-wide promotion is going on).
Category average: 8.3
Set up A/B testing campaigns using a WYSIWYG editor to create site versions and preview design changes before testing them. These editors often don’t require coding knowledge in order to operate them.
Category average: 7.9
Preview your experiments across multiple browsers at once.
Category average: 7.2
Ability to make tests mutually exclusive so that a given visitor is only part of one test at a time, this helps prevent tests from interfering with one another.
Category average: 7.2
