Erik Haugom – författare

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, the 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, the updated edition features new content on price differentiation, 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.

This book provides a broad introduction to the field of pricing as a tactical function in the daily operations of the firm and a toolbox for implementing and solving a wide range of pricing problems.Beyond the theoretical perspectives offered by most textbooks in the field, Essentials of Pricing Analytics supplements the concepts and models covered by demonstrating practical implementations using the highly accessible Excel software, analytical tools, real-life examples and global case studies. The book covers topics on fundamental pricing theory, break-even analysis, price sensitivity, empirical estimations of price–response functions, price optimisation, markdown optimisation, hedonic pricing, revenue management, the use of big data, simulation, and conjoint analysis in pricing decisions, and ethical and legal considerations.This is a uniquely accessible and practical text for advanced undergraduate, MBA and postgraduate students of pricing strategy, entrepreneurship and small business management, marketing strategy, sales and operations. It is also important reading for practitioners looking for accessible methods to implement pricing strategy and maximise profits.Online resources for instructors include Excel templates and PowerPoint slides for each chapter.

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, the 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, the updated edition features new content on price differentiation, 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.

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, the 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, the updated edition features new content on price differentiation, 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.