Experiment workflow and approval
Ability to assign different phases of the experiment process to your team and approve next steps for an experiment or campaign.
Cat avg: 6.7
Top Performing Features
Website personalization
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.
Cat avg: 8.2
Split URL testing
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.
Cat avg: 8.2
Visual / WYSIWYG editor
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.
Cat avg: 7.3
Worst Performing Features
Multivariate testing
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.
Cat avg: 8.2
Standard visitor segmentation
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.
Cat avg: 7.8
Omniconvert Explore Features from Reviews
Testing and Experimentation
These features enable companies to plan, set up, and execute different types of tests (e.g. A/B, A/B/n, multivariate, split URL tests).
8.3+10%
Split URL testing
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
Multivariate testing
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
Visual / WYSIWYG editor
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: 7.3
Experiment workflow and approval
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
Audience Segmentation & Targeting
A set of tools used for website optimization experiments (e.g. A/B, A/B/n, funnel, split URL, multivariate tests) that can help users segment their audience in to different groups for the purpose of exposing specific audiences to tests or personalization efforts.
9+15%
Standard visitor segmentation
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
Website personalization
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