Medallia Digital Experience Analytics (DXA) Features

Accurately measure total web traffic and present data elegantly.

Configure and accurately measure an appropriate measure of engagement, such as average session length, page views per session, amount of scrolling, etc.

Accurately determine where most people enter your site and where they leave and present data elegantly.

Software automatically tracks standard user actions.

Able to set up custom variables to track any user activity on the site.

Accurately measure bounce rate.

Track user return rates and related metrics.

Track what proportion of users convert via a certain action.

See how many users proceed down a certain path to conversion.

Obtain live data for who is currently accessing your site.

Report on how any user activity has changed over time.

Report on user activity in the past and set up predictive models for the future.

Break down a population of users by demographics, sequence actions, time, and able to build custom segments.

Analytic tools are also available for mobile and tablet versions of websites.

Able to unify user data across devices, recognizing returning users.

Allows users to easily build customized reports and dashboards.

Aggregates and visualizes webpage clicks, scrolls, and movement data into color-coordinated data points

Records web visitor sessions

Tracks and monitors web visitor behavior

Segments collected data on predetermined criteria

Track load times on different devices and systems.

Analyze inbound marketing traffic to identify which campaigns are working best.

Track revenue and transactions.

Able to deploy promotional or other pop-up messages based on user actions.

System can self-monitor critical metrics and alert administrators when they reach concerning levels.

Application Programming Interface - Specification for how the application communicates with other software. API's typically enable integration of data, logic, objects, etc. with other software applications.

Able to test that event and variable setup are reporting data accurately.

Software is consistently available (uptime) and allows users to complete tasks quickly because they are not waiting for the software to respond.

Grant access to select data, features, objects, etc. based on the users, user role, groups, etc.

Identifies poorly performing or problematic areas of a web page

Overlays heatmaps on top of existing web pages

Optimizes to gather insight about mobile web browser visitors

Contextualizes web visitor behavior beyond pure data points and statistics

Analyzes the performance and effectiveness of forms, call-to-actions, links, etc. that appear on a web page

Tracks where users are clicking on a web page.

Tracks mouse movement over a web page.

See where users experience the most difficulty on a web page.

Tracks sessions where users encountered errors and bugs.

Split web traffic to a page between two different URLs.

Offers insights into relationships between user information and user behavior.

Leave notes on sessions and bugs.

Collects user information (location, IP address, email, etc.).

Search sessions by keywords or IP address.

Ability to see analytics at the account level.

Ability to see analytics at the user level.

Ability to compare usage across segments such as role, company size, etc.

See how users move though a product via grouped page sequences

Receive automated alerts and reports based on gains or losses in performance.

View analytics for multiple products in a single dashboard, including cross-product engagement

Scores customers and visitors to identify at-risk or thriving accounts.

Breadth and functionality of integrations with third-party products.

Provides reporting and analytics tools to quantify the results of the experiment.

Provides heatmap functionality to assess what parts of the website visitors are engaging with most.

Allows for the testing of multiple variables at a time during a single test.

Allows multiple experiments to be deployed simultaneously.

Allows mobile web pages to be tested during A/B experiments.

Uses algorithms and continuous data entry to enable the technology to develop insights and optimize testing.

Requires little to no knowledge of coding. Usually this means it comes with prewritten code.

Works across multiple software systems or databases

Capability to perform complex tasks without constant human input

Ability to break down and plan multi-step processes

Works across multiple software systems or databases

Improves performance based on feedback and experience

Engages in human-like conversation for task delegation

Makes informed choices based on available data and objectives

Capability to perform complex tasks without constant human input

Works across multiple software systems or databases

Improves performance based on feedback and experience

Anticipates needs and offers suggestions without prompting

Capability to perform complex tasks without constant human input

Works across multiple software systems or databases

Improves performance based on feedback and experience

Anticipates needs and offers suggestions without prompting

Capability to perform complex tasks without constant human input

Works across multiple software systems or databases

Anticipates needs and offers suggestions without prompting

Makes informed choices based on available data and objectives