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
Allows users to create and edit experiments with HTML, CSS, JS.
Cat avg: 7.2
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
Ability to set what percentage of website traffic receives specific test variants in order to roll out code only to a subset of site visitors.
Cat avg: 8.4
The ability to segment test results by specific criteria (e.g. browser type, device type, source, time of day, campaign).
Cat avg: 7.2
Create an experiment that makes changes across multiple pages, like a funnel or a site-wide experience.
Cat avg: 7.3
Watch recordings of user sessions to gain insights on site visitor behavior and identify areas to improve site visitor experience.
Cat avg: 8.5
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).
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: 8.6
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
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
Create an experiment that makes changes across multiple pages, like a funnel or a site-wide experience.
Category average: 7.3
Preview your experiments across multiple browsers at once.
Category average: 6.9
Ability to set the statistical significance level, or confidence interval, of a given test, for example at the 90% or 95% level.
Category average: 7.3
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: 7.4
Allows users to create and edit experiments with HTML, CSS, JS.
Category average: 7.2
Watch recordings of user sessions to gain insights on site visitor behavior and identify areas to improve site visitor experience.
Category average: 8.5
Preview your experiment before running it live on your site or app.
Category average: 7
Automatic calculation of the estimated test duration needed to gain statistically significant results.
Category average: 7.4
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.
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 segment, or target audiences based on whether or not they have performed certain actions, such as clicking on a CTA, and enable tests to run for specific visitor segments.
Category average: 7
Ability to set what percentage of website traffic receives specific test variants in order to roll out code only to a subset of site visitors.
Category average: 8.4
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
Tools that allow users to evaluate the results of website optimization tests (e.g. A/B, A/B/n, multivariate, and split URL tests), or view visitor interaction with webpages and specific site elements.
A tool that shows which elements of the page generate the most visitor engagement.
Category average: 8.4
Click analytics reports display how many clicks certain page elements receive and provides visitor engagement insights.
Category average: 8.7
Scroll maps display how far down the page users scroll.
Category average: 8.5
Enables users to set up and customize conversion funnels to track site visitors' journeys and determine areas that see the most visitor drop-off.
Category average: 7.4
Enables users to set up key website/mobile performance metrics on their landing pages and track them.
Category average: 7.5
Provides users with reports for each test that record the performance of each variation tested against selected metrics such as conversion rate. These reports indicate when a given test variation has performed statistically better than the original (control) site version.
Category average: 7.4
The ability to segment test results by specific criteria (e.g. browser type, device type, source, time of day, campaign).
Category average: 7.2
Provides users with a dashboard displaying test results for all live tests. Some products may also include test result histories accessible from the dashboard.
Category average: 6.5
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.
