Essentials of Pricing Analytics: Tools and Implementation with Excel

Essentials of Pricing Analytics: Tools and Implementation with Excel

by Erik Haugom
Essentials of Pricing Analytics: Tools and Implementation with Excel
Essentials of Pricing Analytics: Tools and Implementation with Excel

Essentials of Pricing Analytics: Tools and Implementation with Excel

by Erik Haugom

Hardcover

$180.00 
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Overview

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.


Product Details

ISBN-13: 9780367363222
Publisher: Taylor & Francis
Publication date: 11/30/2020
Series: Mastering Business Analytics
Pages: 290
Product dimensions: 6.88(w) x 9.69(h) x (d)

About the Author

Erik Haugom is Professor in Business Administration at Inland Norway University of Applied Sciences, Norway.

Table of Contents

1. Introduction 2. Fundamentals of price theory 3. Segmentation and price differentiation 4. Break-even analysis 5. Price sensitivity and willingness-to-pay 6. Empirical estimations of price-response functions 7. Price optimization 8. Case study: Optimal prices of movie theatre tickets 9. Markdown optimization 10. The hedonic pricing model 11. Revenue Management 12. Big Data and pricing analytics 13. Monte Carlo simulation for pricing decisions 14. Conjoint analysis for pricing decisions 15. Acceptance, ethics and the law

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