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Keatext

Keatext

Keatext uses AI to analyze feedback, improving customer and employee experiences by providing quick insights and actionable recommendations.
Author:LoRA
Inclusion Time:04 Feb 2025
Visits:2424
Pricing Model:Free
Introduction

What is Keatext?

Keatext is an AI-driven text analysis platform that focuses on enhancing customer experience and employee engagement. By analyzing feedback from customers and employees, it helps businesses understand and improve overall experiences. Keatext offers personalized recommendations to boost customer and employee satisfaction, streamlining data upload and analysis processes.

Who Can Benefit from Keatext?

Businesses looking to gain deep insights into customer and employee feedback can benefit from Keatext. Whether you're part of a customer experience team or HR department, Keatext provides valuable insights to enhance service quality and employee satisfaction.

Example Scenarios:

Chris Gast, VP of Customer Experience at COOLA, praises Keatext for its exceptional service and recommends it as a starting point for listening to customer voices.

Cyrine Ben Ncib, a marketing expert at Intelcom, uses Keatext to revamp their customer experience strategy, shifting from assumption-based decisions to data-driven ones.

Alisha Manion, a client manager at Sampler, utilizes Keatext to reduce extensive analysis time from 8 hours to just 10 minutes.

Key Features:

Effortlessly upload feedback data and swiftly uncover insights.

Reduce analysis time and boost decision-making efficiency.

Gain a comprehensive view of the customer journey with actionable recommendations.

Improve CSAT scores and strengthen CX and HR teams.

Identify root causes of negative feedback.

Understand what drives NPS and CSAT scores.

Enhance problem resolution times and decrease customer churn.

Getting Started with Keatext:

1. Visit the Keatext website and sign up for an account.

2. Upload customer or employee feedback data files or use Keatext's integration services.

3. Use Keatext’s AI technology for text analysis and obtain valuable insights.

4. Implement recommended actions to improve customer or employee experiences.

5. Continuously monitor feedback and utilize periodic analysis and optimization with Keatext.

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