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AI-Powered Customer Experience Optimization; Unlocking Business Growth through Conversational Analytics

$199.00
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AI-Powered Customer Experience Optimization: Unlocking Business Growth through Conversational Analytics Course Overview In this comprehensive course, participants will learn how to harness the power of AI-powered customer experience optimization to drive business growth through conversational analytics. With a focus on practical, real-world applications, this course provides participants with the skills and knowledge needed to unlock the full potential of customer experience optimization. Course Curriculum The course is organized into the following chapters: Chapter 1: Introduction to AI-Powered Customer Experience Optimization *
  • Defining customer experience optimization
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  • The role of AI in customer experience optimization
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  • Benefits of AI-powered customer experience optimization
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  • Key challenges and limitations
  • Chapter 2: Conversational Analytics Fundamentals *
  • Introduction to conversational analytics
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  • Types of conversational analytics
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  • Key metrics and KPIs
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  • Conversational analytics tools and platforms
  • Chapter 3: AI-Powered Customer Journey Mapping *
  • Introduction to customer journey mapping
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  • AI-powered customer journey mapping techniques
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  • Identifying pain points and areas for improvement
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  • Creating personalized customer experiences
  • Chapter 4: Conversational AI and Chatbots *
  • Introduction to conversational AI and chatbots
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  • Types of chatbots and conversational AI
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  • Designing and implementing conversational AI solutions
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  • Measuring and optimizing conversational AI performance
  • Chapter 5: Sentiment Analysis and Emotional Intelligence *
  • Introduction to sentiment analysis and emotional intelligence
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  • AI-powered sentiment analysis techniques
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  • Understanding customer emotions and behaviors
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  • Creating emotionally intelligent customer experiences
  • Chapter 6: Predictive Analytics and Customer Behavior *
  • Introduction to predictive analytics and customer behavior
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  • AI-powered predictive analytics techniques
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  • Understanding customer behavior and preferences
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  • Predicting customer churn and loyalty
  • Chapter 7: Personalization and Recommendation Systems *
  • Introduction to personalization and recommendation systems
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  • AI-powered personalization techniques
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  • Creating personalized product and content recommendations
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  • Measuring and optimizing personalization performance
  • Chapter 8: Voice of the Customer and Feedback Analysis *
  • Introduction to voice of the customer and feedback analysis
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  • AI-powered feedback analysis techniques
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  • Understanding customer feedback and concerns
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  • Creating customer-centric products and services
  • Chapter 9: ROI and Business Case Development *
  • Introduction to ROI and business case development
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  • Measuring and optimizing ROI for customer experience initiatives
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  • Creating a business case for customer experience investment
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  • Presentation and communication techniques
  • Chapter 10: Implementation and Integration *
  • Introduction to implementation and integration
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  • AI-powered customer experience implementation strategies
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  • Integrating with existing systems and processes
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  • Change management and organizational alignment
  • Certification Upon completion of the course, participants will receive a certificate issued by The Art of Service. Course Features *
  • Interactive and engaging content
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  • Comprehensive and up-to-date curriculum
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  • Personalized learning experience
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  • Expert instructors with real-world experience
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  • High-quality video lessons and materials
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  • Flexible learning schedule and pace
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  • User-friendly and mobile-accessible platform
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  • Community-driven discussion forums
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  • Actionable insights and hands-on projects
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  • Bite-sized lessons and lifetime access
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  • Gamification and progress tracking
  • Prerequisites *
  • No prior knowledge or experience required
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  • Basic computer skills and internet access
  • Target Audience *
  • Customer experience professionals
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  • Marketing and sales teams
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  • Product managers and developers
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  • Business analysts and strategists
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  • Anyone interested in AI-powered customer experience optimization