Essentials of Pricing Analytics: Tools and Implementation with Excel

ISBN-13: 9780367363222 / Angielski / Twarda / 2020 / 280 str.

Erik Haugom

Opis

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. It demonstrates implementation using the highly accessible Excel software, analytical tools, real life examples and global case studies.

Recenzje

“A refreshingly new approach to the teaching of pricing from a very practical point of view.”
Nicholas Perdikis, Professor of International business, Aberystwyth Business School, Aberystwyth University, Wales, UK

“This book explains the impact of pricing on companies’ profit in a highly accessible way. Excel examples help readers to further deepen their understanding of these topics. I highly recommend this book to anybody who wants to learn the basics of pricing analytics in a very short time.”
Peter Molnar, Associate Professor at University of Stavanger, Norway

“More and more businesses are embracing analytics. But not everyone can afford a price analytics software. This book is a good way to get started, learn, and practice the pricing fundamentals. The ‘cookbook’ approach breaks down the barriers to getting started. Now every business professional can start answering real pricing questions by using a tool they are familiar with.”
Stephan M. Liozu, Chief Value Officer of Thales Group

“Essentials of Pricing Analytics is a valuable and original contribution to the pricing literature. Managers and academics will appreciate up-to-date tools that enable them to estimate demand curves, optimize prices and increase profits. Highly recommended.”
Andreas Hinterhuber, Associate Professor of Marketing, Ca’ Foscari University of Venice, Italy

Spis treści

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

O autorze

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