Comments Analytics Features
Process (3)
Mentions
Scours various channels for brand mentions to proactively seek reparative communications.
Tickets
Creates and assigns support tickets, scheduling them in a timely manner.
Macros
Allows administrators to create templated responses to frequently asked questions.
Channels (5)
Email
Ability to connect agents with customers through Live Chat.
Social
Connects employees with customers through a social media solution.
Live Chat
Ability to connect agents with customers through email.
Phone
Connects employees with customers through a calling solution.
Text
Ability to connect agents with customers through text message solution.
Insight (4)
Surveys
Provides opportunity for customers to give feedback through a survey.
Reporting
Enables administrators to create customized reports reflecting customer satisfaction.
Visitor Activity
Allows administrators to track visitor activity to understand the research that was done before turning to customer service.
Help Desk
Provides a knowledge base or other support channel for disparate team members to work together and provide cohesive solutions.
Feedback Management (3)
Tagging
Tag content to organize and assign to specific departments or categories
Segmentation
Break down a population of users by demographics, sequence actions, time, and able to build custom segments.
Custom Reports and Dashboards
Allows users to easily build customized reports and dashboards.
Feedback Analysis (2)
Thematic Analysis
Identifies key phrases, themes, and patterns within a given text
Sentiment Analysis
Outputs the sentiment (positive or negative) of a given text
Feedback Sources (4)
Online Reviews
Analyzes feedback from online reviews
Surveys
Analyzes feedback from surveys through built-in survey features or integrations with survey tools
Social Media
Analyzes customer feedback from social media
Customer Service Channels
Analyzes feedback sourced from integrations with customer service tools, such as help desks and live chat
Setup (3)
Integration
Provides the ability to import data from a variety of sources and in multiple data formats.
Maintenance
Consistently maintains, updates, and tests data sources to ensure quality.
No-Code
Allows users to analyze data easily without the need to code.
Data (2)
Security
Ensures privacy and security of customer data.
Data Visualization
Visualizes text data through charts and graphs.
Analysis (7)
Automation
Automates back-end technical manual processes.
Named entity recognition
Identifies entities such as organization, person name, location, etc
Keyphrase Extraction
Extracts keyphrases to determine patterns and themes within text.
Topic Analysis
Automatically identifies and organizes text based on topic or subject matter.
Sentiment Analysis
Utilizes sentiment analysis to capture user feedback.
Language Identification
Identifies the language in which text was written in.
Syntax/Part of Speech Parsing
Provides the ability to identify syntax and parts of speech.
Customization (3)
Pre-Built Parameterization
Allow capabilities to be customized (key-phrase, topics, sentiment, named entity) by adding keywords or exceptions.
Custom Extension
Allow user to add custom functions to Analysis capabilities
Compositionality
User created models can be used as features/pre-built in other models
Brand Signals (3)
Comparison
Compare and contrast products, brands, sentiment, etc.
AI
Provides AI generated insights.
Brand Health
Quantifies digital consumer intelligence to analyze brand health.
Brand Analytics (2)
Trend Analysis
Identification and analysis of brand or product trends.
Tracking
Capability to track and measure brand results over time.
Generative AI (4)
AI Text Generation
Allows users to generate text based on a text prompt.
AI Text Summarization
Condenses long documents or text into a brief summary.
AI Text Generation
Allows users to generate text based on a text prompt.
AI Text Summarization
Condenses long documents or text into a brief summary.

