Keatext: AI-Powered Text Analytics for Enhanced Customer and Employee Experiences

Keatext is a cloud-based AI text analytics platform designed to help businesses gain valuable insights from various sources of feedback, including reviews, surveys, and support tickets. It seamlessly integrates with your existing systems without requiring a technology stack overhaul.

Features

• AI-Powered Insights: Uncover hidden trends and patterns within your feedback data using advanced AI algorithms.
• Data Upload & Integrations: Easily upload your own data files or leverage pre-built integrations for swift analysis.
• Customizable Recommendations: Receive AI-driven recommendations tailored to your specific business context to improve customer and employee experiences.
• Actionable Reporting: Generate clear, concise reports to easily share key findings with your team and management.
• Seamless Integration: Works as a standalone system, integrating effortlessly into your existing workflow.

Benefits

• Identify Blind Spots: Discover areas impacting customer and employee satisfaction that you might have otherwise missed.
• Data-Driven Decisions: Make smarter, more informed decisions based on concrete data analysis.
• Improved Satisfaction Scores: Understand the key drivers of Net Promoter Score (NPS) and Customer Satisfaction (CSAT) scores.
• Reduced Churn: Identify root causes of negative feedback and implement improvements to reduce customer churn.
• Enhanced Resolution Times: Improve support processes and reduce resolution times for faster issue handling.

Use Cases

• Analyzing customer reviews to identify areas for product improvement.
• Understanding employee feedback to enhance workplace satisfaction.
• Improving customer support processes and reducing resolution times.
• Identifying the root causes of negative feedback and implementing corrective actions.
• Tracking and improving NPS and CSAT scores.

Keatext empowers businesses to transform qualitative feedback into actionable insights, leading to significantly improved customer and employee experiences.