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Ability to assign different phases of the experiment process to your team and approve next steps for an experiment or campaign.
Category average: 6.7
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: 8.2
Test out larger design changes by splitting your site traffic across two different landing pages to identify which site performs the best. It can be used to test the impact and feasibility of things such as new designs, personalization efforts, and new site architecture.
Category average: 8.2
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: 7.4
Ability to segment, or target audiences based on criteria you set (e.g. URL, cookies, IP address, custom javascript, traffic source, device, browser, language, ad campaign, geo-targeting, time of day) and enable tests to run for specific visitor segments.
Category average: 7.8
Ability to test multiple site design changes at once across one or multiple variations and identify which variation impacts conversion rates, or other predefined goals, the most.
Category average: 8.2
