Metric.ai
Metric.ai is an AI-powered platform that helps companies analyze customer conversations from various sources to gain insights. It uses natural language processing and machine learning to categorize, search, and surface insights from customer support transcripts, surveys, product
natural-language-processing
machine-learning
customer-support
conversations
insights
Metric.ai: AI-Powered Customer Insights
AI-Powered Customer Insights Platform, Analyze Conversations for Business Benefits
What is Metric.ai?
Metric.ai is an artificial intelligence-powered conversation intelligence platform designed to help businesses understand and improve customer experience. It analyzes conversations from sources like customer support transcripts, survey verbatims, and product reviews using natural language processing and machine learning.
Key features of Metric.ai include:
- Powerful search and analysis of customer conversations at scale
- Automatic categorization and tagging of issues, complaints, questions, sentiments, etc.
- Extraction of concepts and themes from customer feedback data
- Comparison of conversation metrics across channels, products, locations and more
- Visualization tools like dashboards, graphs, and reports
- Integration with CRM, support, and survey tools
- Identification of priority issues and emerging trends from customer conversations
Metric.ai enables companies to uncover insights to improve products, support, and overall customer satisfaction. It provides both high-level strategic guidance as well as tactical recommendations based on actual customer conversations and feedback. The platform helps prioritize issues to work on and tracks whether implemented changes positively impact customer experience over time.
Metric.ai Features
Features
- Natural language processing to analyze unstructured text data
- Sentiment analysis and text classification
- Topic modeling and theme extraction
- Customer journey mapping
- Integrations with support channels like Zendesk, Salesforce, etc
- Customizable dashboards and reporting
Pricing
- Subscription-Based
Pros
Saves time by automating text analysis
Provides insights from customer conversations
Easy to set up and use
Helps improve customer experience
Cons
Requires large amounts of text data to be effective
Accuracy depends on training data quality
Limited customization compared to building in-house NLP
Official Links
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