Content Square SAS

Aspects of the present disclosure involve a system comprising a computer-readable storage medium storing a program and method for streaming a live session. The program and method provide for receiving, from a first device of a first user, indication of first user input provided by the first user with respect to a first data input field of plural data input fields included in a displayed page; determining whether the first user input corresponds to personally identifiable information; causing, when the first user input does not correspond to personally identifiable information, a second device associated with a second user to display the plural data input fields and to display the first user input; and causing, when the first user input corresponds to personally identifiable information, the second device to display the plural data input fields and to mask display of the first user input.

Aspects of the present disclosure involve a system comprising a computer-readable storage medium storing a program and method for automatic snapshot selection and zone creation. The program and method provide for receiving, from a first device, an indication of user input selecting to determine zoning metrics for a webpage based on a selected device type; accessing plural session replays corresponding to different visitor sessions by at least one second device with respect to the webpage; selecting a session replay based at least in part on maximizing scroll amount associated with the session replay; selecting, from among plural available snapshots corresponding to the selected session replay, a snapshot based at least in part on minimizing display of additional elements on the webpage; automatically identifying, based on traversing a tree diagram corresponding to the selected snapshot, zones for webpage; and determining zoning metrics for display on the first device.

Method of generating a funnel interface starts with a processor receiving, from client devices, user activity data associated with interactions by users with a website displayed on the client devices. The website comprises webpages displayed during sessions. The processor receives from a user associated with a display device a plurality of steps of a funnel. Each of the steps comprising one or more of the plurality of webpages. The processor causes a funnel interface to be displayed on the display device. The funnel interface includes a visualization of at least one of a plurality of metrics associated each of the plurality of steps based on the user activity data. The metrics include a completion rate, a conversion rate, a drop off rate, or any combination thereof. Other embodiments described herein.

The subject technology detects user activity on a web site, the user activity corresponding to a user session on the web site associated with first client device of a visiting user. The subject technology selects a recording process for the user activity based at least in part on a set of recording parameters, the set of recording parameters being configured prior to detecting the user activity. The subject technology performs the recording process to generate an event stream based at least in part on the set of record parameters. The subject technology stores the event stream after the session has ended. The subject technology provides the event stream for viewing the user session on a second client device, the second client device being different from the first client device.

Aspects of the present disclosure involve a system comprising a computer-readable storage medium storing a program and method for mapping webpages to page groups. The program and method provide for receiving plural Uniform Resource Locators (URLs), each URL of the plural URLs corresponding to a respective webpage of a website; generating a distance matrix with pairwise distances between the plural URLs; performing hierarchical clustering based on the distance matrix, to generate a dendrogram in which the plural URLs are arranged in hierarchical clusters; and determining, based on the dendrogram, a predicted page group for each of the plural URLs.

Aspects of the present disclosure involve a system comprising a computer-readable storage medium storing a program and method for performing sentiment analysis for survey responses. The program and method provide for receiving, from a first device, an indication of user input selecting to perform sentiment analysis with respect to survey response data; accessing, in response to receiving the user input, the survey response data from storage, the survey response data including a respective question and response pair for each of plural questions included within a survey provided to at least one second device; determining, using a large language model, a sentiment classification for the respective question and response pair for each of the plural questions, the sentiment classification being one of positive sentiment, negative sentiment or neutral sentiment; and providing, based on determining the sentiment classification for each of the plural questions, display of sentiment metrics on the first device.

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.

Systems and methods provide for deriving values for a set of features, for each session of a plurality of sessions that each comprise one or more actions performed by a given user on one or more webpages of a website. The systems and method further provide for generating an initial frustration score for each session of the plurality of sessions by analyzing the set of features for each session of the plurality of sessions using a first machine learning model trained to generate an initial frustration score based on values derived for a set of features for each session of a given set of sessions. The systems and methods further add the initial frustration score to the set of features to generate an updated set of features for each session and generate a final frustration score for each session of the plurality of sessions by analyzing the updated set of features using a second machine learning model trained to generate a final frustration score based on the initial frustration score and features derived for each session of a given set of sessions.

Aspects of the present disclosure involve a system comprising a computer-readable storage medium storing a program and method for automatic snapshot selection and zone creation. The program and method provide for receiving, from a first device, an indication of user input selecting to determine zoning metrics for a webpage based on a selected device type; accessing plural session replays corresponding to different visitor sessions by at least one second device with respect to the webpage; selecting a session replay based at least in part on maximizing scroll amount associated with the session replay; selecting, from among plural available snapshots corresponding to the selected session replay, a snapshot based at least in part on minimizing display of additional elements on the webpage; automatically identifying, based on traversing a tree diagram corresponding to the selected snapshot, zones for webpage; and determining zoning metrics for display on the first device.

Embodiments herein describe a code obfuscation system. The code obfuscation system accesses computer code and identifies a subset of the code to obfuscate. The code obfuscation system analyzes the identified subset of code, the analysis comprising identifying code elements and identifying one or more files and directories. The code obfuscation system generates first obfuscation data for the identified code elements and generates second obfuscation data for the one or more files and directories. The code obfuscation system generates obfuscated computer code by applying the first obfuscation data and the second obfuscation data to the originally accessed computer code.