Abstract: Method of generating frustration score starts with processor receiving data associated with interactions by users with website including webpages displayed during sessions. Processor generates page view scores based on page view experience indicators and zone experience indicators associated with the webpages, generates session scores based on the page view scores and session experience indicators, and generates webpage scores based on page view scores. Processor identifies the webpage associated with highest level of frustration based on page view and webpage scores and identifies the session that is associated with highest level of frustration based on the session scores. Processor causes a user interface to be displayed on a display device that includes a visualization of interactions by a user with the website associated with the session with the highest level of frustration and an identification of the webpage associated with the highest level of frustration. Other embodiments are described herein.

Abstract: Method of generating frustration score starts with processor receiving data associated with interactions by users with website including webpages displayed during sessions. Processor generates page view scores based on page view experience indicators and zone experience indicators associated with the webpages, generates session scores based on the page view scores and session experience indicators, and generates webpage scores based on page view scores. Processor identifies the webpage associated with highest level of frustration based on page view and webpage scores and identifies the session that is associated with highest level of frustration based on the session scores. Processor causes a user interface to be displayed on a display device that includes a visualization of interactions by a user with the website associated with the session with the highest level of frustration and an identification of the webpage associated with the highest level of frustration. Other embodiments are described herein.

Abstract: A system and method for analyzing in-page behavior. A method includes recording sessions of users browsing a website, wherein a session is time-ordered collection of a user's interactions with one or more webpages belonging to the website; analyzing recorded sessions to generate session insights, wherein the session insights are based in part on user experience factors, wherein each user experience factor relates to behavior of a user within each webpage visited during a session; and reporting the generated experience insights.

Abstract: Real-time alerting system comprises a processor that receives from client devices user activity data associated with interactions by users with a website displayed on client devices. Website comprises webpages displayed during sessions. Processor identifies based on the user activity data, user experience indicators and identifies based on the user experience indicators an error on the website. Processor generates, based on the user experience indicators or the error on the website, an insight associated with the website. Processor causes a real-time alert to be displayed on display device. Real-time alert comprises the error or the insight and a selectable item to cause a visualization of interactions by one of the users with the website during one of the sessions associated with the error or the insight to be displayed. Visualization of interactions is generated based on the user activity data. Other embodiments are disclosed herein.

Abstract: Method of generating frustration score starts with processor receiving data associated with interactions by users with website including web pages displayed during sessions. Processor generates page view scores based on page view experience indicators and zone experience indicators associated with the web pages, generates session scores based on the page view scores and session experience indicators, and generates web page scores based on page view scores. Processor identifies the webpage associated with highest level of frustration based on page view and web page scores and identifies the session that is associated with highest level of frustration based on the session scores. Processor causes a user interface to be displayed on a display device that includes a visualization of interactions by a user with the website associated with the session with the highest level of frustration and an identification of the web page associated with the highest level of frustration.

Abstract: A system and method for analyzing in-page behavior. A method includes recording sessions of users browsing a website, wherein a session is time-ordered collection of a user's interactions with one or more webpages belonging to the website; analyzing recorded sessions to generate session insights, wherein the session insights are based in part on user experience factors, wherein each user experience factor relates to behavior of a user within each webpage visited during a session; and reporting the generated experience insights.

Abstract: A system and method for near-real-time communicating negative user experience of users interacting with a website are provided. The method includes identifying at least one interaction pattern by analyzing an in-page interaction information of a user interacting with at least one page of the website; computing a user experience score for each of the at least one identified interaction pattern; generating an alert indicating that the user experience score determined for a respective identified interaction pattern demonstrates a negative user experience; and sending the alert immediately upon identifying the interaction pattern demonstrating a negative user experience.

Abstract: Method of generating frustration score starts with processor receiving data associated with interactions by users with website including webpages displayed during sessions. Processor generates page view scores based on page view experience indicators and zone experience indicators associated with the webpages, generates session scores based on the page view scores and session experience indicators, and generates webpage scores based on page view scores. Processor identifies the webpage associated with highest level of frustration based on page view and webpage scores and identifies the session that is associated with highest level of frustration based on the session scores. Processor causes a user interface to be displayed on a display device that includes a visualization of interactions by a user with the website associated with the session with the highest level of frustration and an identification of the webpage associated with the highest level of frustration. Other embodiments are described herein.

Abstract: A system and method for detecting changes in webpages are provided. The method includes creating a snapshot for a webpage addressed by an identifier, wherein the identifier is designated in a received request for detecting changes in the webpage, wherein the created snapshot is a current snapshot of a most recent version of the webpage; retrieving at least one recent snapshot of the webpage, wherein the recent snapshot was created immediately prior to the current snapshot and represents an immediate previous version of the webpage; and comparing the current snapshot to the at least one recent snapshot to detect any changes, wherein the comparison is based on changes in visible elements in the webpage.

Abstract: A system and method for analyzing in-page behavior. A method includes recording sessions of users browsing a website, wherein a session is time-ordered collection of a user's interactions with one or more webpages belonging to the website; analyzing recorded sessions to generate session insights, wherein the session insights are based in part on user experience factors, wherein each user experience factor relates to behavior of a user within each webpage visited during a session; and reporting the generated experience insights.

Abstract: A system and method for analyzing in-page behavior. A method includes recording sessions of users browsing a website, wherein a session is time-ordered collection of a user's interactions with one or more webpages belonging to the website; analyzing recorded sessions to generate session insights, wherein the session insights are based in part on user experience factors, wherein each user experience factor relates to behavior of a user within each webpage visited during a session; and reporting the generated experience insights.

Abstract: A system and method for near-real-time communicating negative user experience of users interacting with a website are provided. The method includes identifying at least one interaction pattern by analyzing an in-page interaction information of a user interacting with at least one page of the website; computing a user experience score for each of the at least one identified interaction pattern; generating an alert indicating that the user experience score determined for a respective identified interaction pattern demonstrates a negative user experience; and sending the alert immediately upon identifying the interaction pattern demonstrating a negative user experience.

Abstract: A system and method for detecting changes in webpages are provided. The method includes creating a snapshot for a webpage addressed by an identifier, wherein the identifier is designated in a received request for detecting changes in the webpage, wherein the created snapshot is a current snapshot of a most recent version of the webpage; retrieving at least one recent snapshot of the webpage, wherein the recent snapshot was created immediately prior to the current snapshot and represents an immediate previous version of the webpage; and comparing the current snapshot to the at least one recent snapshot to detect any changes, wherein the comparison is based on changes in visible elements in the webpage.

Abstract: A system and method for benchmarking user experience quality on websites across an industry. The method includes computing first site metrics for a first website, wherein a site metric is a quantitative description of user activity on a web site; computing a first industry satisfaction score for the first website, wherein the industry satisfaction score quantifies an overall level of satisfaction of users interacting with the first website, wherein the industry satisfaction score is computed based on satisfaction score pillar values and the computed site metrics, identifying usage metrics within the collected usage; comparing the first industry satisfaction score computed for the first website to a second industry satisfaction score previously computed for a second website, wherein the first website and the second website are from the same industry; and reporting the comparison results.

Abstract: A system and method for analyzing in-page behavior. A method includes recording sessions of users browsing a website, wherein a session is time-ordered collection of a user's interactions with one or more webpages belonging to the website; analyzing recorded sessions to generate session insights, wherein the session insights are based in part on user experience factors, wherein each user experience factor relates to behavior of a user within each webpage visited during a session; and reporting the generated experience insights.