Description
Keatext is an AI-driven text analytics platform designed to help businesses analyze customer feedback from various sources, including reviews, surveys, and support tickets. The platform is purpose-built for customer experience (CX) analytics, offering comprehensive reporting with dashboards and actionable recommendations. With over 23 years of industry expertise, Keatext provides reproducible results that general tools like ChatGPT cannot match.
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Keatext integrates seamlessly with platforms like Zendesk, allowing businesses to analyze thousands of tickets per month automatically. It supports multi-channel analysis, helping organizations understand customer journeys and improve retention. The platform is suitable for large-scale operations and is trusted by leading brands such as Intuit, Lenovo, and Hilton.
Pricing plans are available at different levels, including Basic, Pro, and Enterprise, catering to small teams and large organizations alike. The Basic plan starts at $550 USD per month, while the Pro and Enterprise plans offer more advanced features and customization options. Keatext is GDPR compliant and SOC2 certified, ensuring data security and privacy.
Keatext's AI-generated reports provide instant insights, identifying themes and customer sentiment without the typical manual analysis delay. This enables businesses to address specific issues and improve customer satisfaction scores effectively. The platform's ability to unify feedback sources into a single view allows for a comprehensive understanding of customer needs and preferences.
- CategoryReview & Feedback Analysis
- Pricing ModelSubscription
- DeploymentCloud
- PlatformsWeb
Keatext AI-Based Text Analytics's Core Features
AI-powered text analytics
Multi-channel feedback integration
Actionable insights and recommendations
Comprehensive reporting dashboards
Seamless Zendesk integration
GDPR compliant and SOC2 certified
Instant AI-generated reports
Large-scale operation suitability
How to use Keatext AI-Based Text Analytics?
Configure: Set up integrations with feedback sources
Use: Analyze customer feedback through dashboards
Optimize: Implement AI-driven recommendations
Monitor: Track improvements in customer satisfaction
Keatext AI-Based Text Analytics's Use Cases
- Customer Feedback Analysis
- Churn Reduction
- Customer Satisfaction Improvement
- Large-Scale Operations
- Multi-Channel Integration
