Comments Analytics Features

Ensures privacy and security of customer data.

Visualizes text data through charts and graphs.

Receive data and information in real time

Interact with data visualization elements, such as charts and graphs, to drill down into data

Identification and analysis of brand or product trends.

Capability to track and measure brand results over time.

Analyzes feedback from online reviews

Analyzes feedback from surveys through built-in survey features or integrations with survey tools

Analyzes customer feedback from social media

Analyzes feedback sourced from integrations with customer service tools, such as help desks and live chat

Provides opportunity for customers to give feedback through a survey.

Enables administrators to create customized reports reflecting customer satisfaction.

Allows administrators to track visitor activity to understand the research that was done before turning to customer service.

Provides a knowledge base or other support channel for disparate team members to work together and provide cohesive solutions.

Allows users to generate text based on a text prompt.

Condenses long documents or text into a brief summary.

Use AI to generate content in the form of text, images, videos, etc.

Allows users to generate text based on a text prompt.

Condenses long documents or text into a brief summary.

Ability to connect agents with customers through Live Chat.

Connects employees with customers through a social media solution.

Ability to connect agents with customers through email.

Connects employees with customers through a calling solution.

Ability to connect agents with customers through text message solution.

Provides the ability to import data from a variety of sources and in multiple data formats.

Consistently maintains, updates, and tests data sources to ensure quality.

Allows users to analyze data easily without the need to code.

Set up connections to third-party platforms to improve business processes

Allow capabilities to be customized (key-phrase, topics, sentiment, named entity) by adding keywords or exceptions.

Allow user to add custom functions to Analysis capabilities

User created models can be used as features/pre-built in other models

Observe and track the demand, usage, progress or quality of a system, product, or user

Track and document all activities across devices, networks, and other systems

Process of gathering, measuring, and analyzing accurate data

Define levels of authorization for access to specific files or systems

Predict future data based on historical data sets

Dashboard to view the status of ongoing processes, identify current incidents and track past activities

Analyze and gain insights into data in real-time

A virtual assistant that uses AI to pursue goals and complete tasks on behalf of users

Collection, analysis, and representation of numerical data and generation of reports to understand various patterns

Import and export data to and from software applications

Combining elements of both quantitative and qualitative data to conduct research

Track and analyze information regarding website visitors

Supports various file formats

Organize and group data or items based on various criteria

Manage and store data in a database

Collecting, analyzing, and utilizing feedback from users or customers to improve a product or service

Attach digital tags to documents and assets for identification, search, or monitoring purposes

Provides a channel for team members to share media files, communicate, and work together

Allow users to access multiple services after entering their login credentials once

Assemble applications and processes by dragging over and arranging pre-built components

Highlight content and/or make notations about parts of content

Add customized logos and colors to align with company branding

Processing and organizing collected information to a set of meaningful and cohesive categories for further analysis

Allows users to manage data from a number of sources

Application programming interface that allows for integration with other systems/databases

Search and filter data across systems to locate required information by entering keywords or certain criteria

Alter the layout and content of reports

Compare and contrast products, brands, sentiment, etc.

Provides AI generated insights.

Quantifies digital consumer intelligence to analyze brand health.

Scours various channels for brand mentions to proactively seek reparative communications.

Creates and assigns support tickets, scheduling them in a timely manner.

Allows administrators to create templated responses to frequently asked questions.

Identifies key phrases, themes, and patterns within a given text

Outputs the sentiment (positive or negative) of a given text

Automates back-end technical manual processes.

Identifies entities such as organization, person name, location, etc

Extracts keyphrases to determine patterns and themes within text.

Automatically identifies and organizes text based on topic or subject matter.

Utilizes sentiment analysis to capture user feedback.

Identifies the language in which text was written in.

Provides the ability to identify syntax and parts of speech.

Manage and support multiple languages

Review data from past periods to reveal recurring tendencies and predict future performance

Process of extracting and classifying information from text, such as tweets, emails, product reviews, etc

Apply statistical/mathematical models to sets of data

Analyze and gain insights into user experience

Tag content to organize and assign to specific departments or categories

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

Allows users to easily build customized reports and dashboards.