Description

Book Synopsis

This second edition of Essentials of Pricing Analytics provides a comprehensive introduction to pricing as a tactical business function and is a practical toolbox for implementing solutions to diverse pricing challenges.

Beyond theoretical perspectives, this second edition of Essentials of Pricing Analytics demonstrates practical implementations of analytical tools using global case studies. Covering fundamental pricing theory, break-even analysis, price sensitivity, optimization techniques, revenue management, and ethical considerations, this updated edition features new content on subscription models, two-sided markets, and AI applications in pricing strategy. It also expands on implementation examples to include R and Python alongside Excel.

This accessible text is ideal for advanced undergraduate, MBA, and postgraduate students of pricing strategy, entrepreneurship, marketing strategy, and operations, as well as practitioners seeking effective methods to implement pricing strategies and maximize profits.

Online resources include Excel templates, R and Python scripts for most examples covered in the book, a comprehensive test bank, and PowerPoint slides for each chapter.

Essentials of Pricing Analytics

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    A Paperback by Erik Haugom

    £39.99

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    Order before 4pm today for delivery by Sat 14 Nov 2026.

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      Book details

      Publisher Taylor & Francis
      Published 9 February 2026
      ISBN-13 9781032989778
      978-1032989778
      ISBN-10 1032989777

      Description

      Book Synopsis

      This second edition of Essentials of Pricing Analytics provides a comprehensive introduction to pricing as a tactical business function and is a practical toolbox for implementing solutions to diverse pricing challenges.

      Beyond theoretical perspectives, this second edition of Essentials of Pricing Analytics demonstrates practical implementations of analytical tools using global case studies. Covering fundamental pricing theory, break-even analysis, price sensitivity, optimization techniques, revenue management, and ethical considerations, this updated edition features new content on subscription models, two-sided markets, and AI applications in pricing strategy. It also expands on implementation examples to include R and Python alongside Excel.

      This accessible text is ideal for advanced undergraduate, MBA, and postgraduate students of pricing strategy, entrepreneurship, marketing strategy, and operations, as well as practitioners seeking effective methods to implement pricing strategies and maximize profits.

      Online resources include Excel templates, R and Python scripts for most examples covered in the book, a comprehensive test bank, and PowerPoint slides for each chapter.

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