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Keatext

AI-driven insights to boost customer satisfaction.

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About

Keatext is an AI-powered text analytics platform designed to gain insights from feedback like reviews, surveys, and support tickets. Providing tailored AI recommendations, it aims to enhance both customer and employee experiences.

This tool eliminates the necessity to redesign your technology stack, it seamlessly fits into your existing system as a standalone, cloud-based analytics system.

Keatext enables users to upload their own data files or use its integrations to uncover insights swiftly. Companies using Keatext can identify blind spots, thus learning what might be negatively impacting their customers or employees.

It is instrumental in driving smarter, data-informed decisions. The tool also assists in identifying key factors influencing satisfaction levels. Keatext offers AI-driven recommendations, which are specific to your business context, to suggest enhancements that could significantly enhance people experiences.

Its reporting features enable easy sharing of insight summaries within the team or managerial level. Keatext’s applications extend to aiding in understanding what drives Net Promoter Score (NPS) and Customer Satisfaction (CSAT) scores, highlighting root causes of negative reviews, and suggesting ways to improve resolution times thereby reducing churn.

Keatext interface showing homepage

Key Features

Enhances customer and employee experiences
No technology stack redesign necessary
Seamless integration with existing systems
Cloud-based standalone analytics system
Self-upload data capabilities
Data integrations for swift insights
Identifies business blind spots
Assists in identifying satisfaction influencers
Offers enhancements for people experiences
Features facilitating report sharing
Aids in understanding NPS drivers
Helps in understanding CSAT drivers
Highlights negative review root causes
Suggests resolution time improvements
Helps reduce churn
Feedback analysis focused
Drives data-informed decision-making
Tailored to business context
Text analysis of sensitive data
Compatible with multiple platforms
Capable of sentiment analysis

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Information

Pricing No Pricing
Favorites 0
Release Date July 26, 2024

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