Description
Keatext is an AI-powered text analytics platform that automatically transforms unstructured customer feedback into actionable insights for marketing and product teams. The platform applies natural language processing and deep learning to analyze feedback from surveys, reviews, support tickets, and social media, identifying sentiment, trends, emerging issues, and improvement opportunities without requiring manual tagging or keyword setup, enabling businesses to understand customer needs and optimize marketing strategies based on authentic voice-of-customer data.
Key Features
- AI-powered text analytics
- Multi-source feedback analysis
- Automated theme extraction
- Sentiment analysis and emotion detection
- Customer experience trend identification
Use Cases
- Voice of customer analysis
- Customer experience improvement
- Product feedback processing
- Marketing message optimization
- Competitive intelligence gathering
Pricing Model
Volume-based subscription with enterprise options
Integrations
Survey platforms, CRM systems, Social media monitoring tools, Customer support platforms, Business intelligence systems
Target Audience
Customer experience teams, Product marketing managers, Market researchers, Customer insights specialists, Marketing strategists
Launch Date
2010
Available On
Cloud-based analytics platform, Insights dashboard, API for custom integrations
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