Comments Analytics Features
What are the features of Comments Analytics?
Feedback Management
- Tagging
- Segmentation
- Custom Reports and Dashboards
Feedback Analysis
- Thematic Analysis
- Sentiment Analysis
Feedback Sources
- Online Reviews
- Surveys
- Social Media
- Customer Service Channels
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Comments Analytics Categories on G2
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Process
Mentions | Scours various channels for brand mentions to proactively seek reparative communications. | Not enough data | |
Tickets | Creates and assigns support tickets, scheduling them in a timely manner. | Not enough data | |
Macros | Allows administrators to create templated responses to frequently asked questions. | Not enough data |
Channels
Ability to connect agents with customers through Live Chat.
| Not enough data | ||
Social | Connects employees with customers through a social media solution. | Not enough data | |
Live Chat | Ability to connect agents with customers through email.
| Not enough data | |
Phone | Connects employees with customers through a calling solution. | Not enough data | |
Text | Ability to connect agents with customers through text message solution.
| Not enough data |
Insight
Surveys | Provides opportunity for customers to give feedback through a survey. | Not enough data | |
Reporting | Enables administrators to create customized reports reflecting customer satisfaction. | Not enough data | |
Visitor Activity | Allows administrators to track visitor activity to understand the research that was done before turning to customer service. | Not enough data | |
Help Desk | Provides a knowledge base or other support channel for disparate team members to work together and provide cohesive solutions. | Not enough data |
Feedback Management
Tagging | Tag content to organize and assign to specific departments or categories This feature was mentioned in 22 Comments Analytics reviews. | 97% (Based on 22 reviews) | |
Segmentation | As reported in 22 Comments Analytics reviews. Break down a population of users by demographics, sequence actions, time, and able to build custom segments. | 96% (Based on 22 reviews) | |
Custom Reports and Dashboards | Allows users to easily build customized reports and dashboards. This feature was mentioned in 22 Comments Analytics reviews. | 98% (Based on 22 reviews) |
Feedback Analysis
Thematic Analysis | Identifies key phrases, themes, and patterns within a given text This feature was mentioned in 22 Comments Analytics reviews. | 96% (Based on 22 reviews) | |
Sentiment Analysis | Outputs the sentiment (positive or negative) of a given text 22 reviewers of Comments Analytics have provided feedback on this feature. | 99% (Based on 22 reviews) |
Feedback Sources
Online Reviews | Based on 21 Comments Analytics reviews. Analyzes feedback from online reviews | 96% (Based on 21 reviews) | |
Surveys | Analyzes feedback from surveys through built-in survey features or integrations with survey tools 22 reviewers of Comments Analytics have provided feedback on this feature. | 84% (Based on 22 reviews) | |
Social Media | Analyzes customer feedback from social media This feature was mentioned in 22 Comments Analytics reviews. | 94% (Based on 22 reviews) | |
Customer Service Channels | As reported in 22 Comments Analytics reviews. Analyzes feedback sourced from integrations with customer service tools, such as help desks and live chat | 95% (Based on 22 reviews) |
Setup
Integration | Provides the ability to import data from a variety of sources and in multiple data formats. | Not enough data | |
Maintenance | Consistently maintains, updates, and tests data sources to ensure quality. | Not enough data | |
No-Code | Allows users to analyze data easily without the need to code. | Not enough data |
Data
Security | Ensures privacy and security of customer data. | Not enough data | |
Data Visualization | Visualizes text data through charts and graphs. | Not enough data |
Analysis
Automation | Automates back-end technical manual processes. | Not enough data | |
Named entity recognition | Identifies entities such as organization, person name, location, etc | Not enough data | |
Keyphrase Extraction | Extracts keyphrases to determine patterns and themes within text. | Not enough data | |
Topic Analysis | Automatically identifies and organizes text based on topic or subject matter. | Not enough data | |
Sentiment Analysis | Utilizes sentiment analysis to capture user feedback. | Not enough data | |
Language Identification | Identifies the language in which text was written in. | Not enough data | |
Syntax/Part of Speech Parsing | Provides the ability to identify syntax and parts of speech. | Not enough data |
Customization
Pre-Built Parameterization | Allow capabilities to be customized (key-phrase, topics, sentiment, named entity) by adding keywords or exceptions. | Not enough data | |
Custom Extension | Allow user to add custom functions to Analysis capabilities | Not enough data | |
Compositionality | User created models can be used as features/pre-built in other models | Not enough data |
Brand Signals
Comparison | Compare and contrast products, brands, sentiment, etc. | Not enough data | |
AI | Provides AI generated insights. | Not enough data | |
Brand Health | Quantifies digital consumer intelligence to analyze brand health. | Not enough data |
Brand Analytics
Trend Analysis | Identification and analysis of brand or product trends. | Not enough data | |
Tracking | Capability to track and measure brand results over time. | Not enough data |
