Sentiment & Feedback Analysis

Use AI to analyze customer sentiment and feedback for improved experience and retention

Business impact

• Customer Satisfaction (CSAT) — Improves by identifying and addressing customer pain points promptly
• Customer Retention — Increases by early detection of dissatisfaction and proactive engagement
• First Call Resolution — Enhanced by surfacing sentiment trends to guide support responses
• Average Handle Time — Reduced through AI-assisted sentiment detection and agent support
• Agent Productivity — Improved by automating routine sentiment analysis and feedback categorization
• Revenue per Call — Increased by personalized responses driven by sentiment insights
• Churn Rate — Decreases by predicting dissatisfaction and enabling targeted retention actions
• Product Development Cycle Time — Shortened by leveraging sentiment trends for faster innovation decisions
• Operational Efficiency — Enhanced by automating feedback analysis and reducing manual effort

Data requirements

• Customer call audio recordings (Audio) — Used for real-time sentiment detection during live interactions
• Text from emails, chats, and surveys (Text) — Analyzed to extract sentiment and feedback themes
• Social media posts and reviews (Text) — Aggregated to understand public sentiment and trends
• CRM and support ticket data (Structured) — Correlated with sentiment to contextualize customer issues
• Video feedback from customers (Video) — Analyzed for richer sentiment insights beyond text and audio

AI methods and techniques

• Predictive AI — Predicts customer satisfaction and churn based on sentiment trends
• Generative AI — Generates summaries and responses based on analyzed feedback
• Symbolic AI — Applies rule-based sentiment classification and domain-specific heuristics

AI models and model families

GPT-4o, Claude, IBM Watson NLU, Google Vertex AI, Llama

Industries

Real-world evidence

10 documented case studies on record.

Companies using this: Blue Conic, Ecosmob, Hark, KUHL, Lovable, Phone Tech, Qualtrics, Victoria Secret, Wunder2, Yelp.