Segmentation, Revenue Management and Pricing Analytics

Segmentation, Revenue Management and Pricing Analytics PDF Author: Tudor Bodea
Publisher: Routledge
ISBN: 1136624848
Category : Business & Economics
Languages : en
Pages : 267

Book Description
The practices of revenue management and pricing analytics have transformed the transportation and hospitality industries, and are increasingly important in industries as diverse as retail, telecommunications, banking, health care and manufacturing. Segmentation, Revenue Management and Pricing Analytics guides students and professionals on how to identify and exploit revenue management and pricing opportunities in different business contexts. Bodea and Ferguson introduce concepts and quantitative methods for improving profit through capacity allocation and pricing. Whereas most marketing textbooks cover more traditional, qualitative methods for determining customer segments and prices, this book uses historical sales data with mathematical optimization to make those decisions. With hands-on practice and a fundamental understanding of some of the most common analytical models, readers will be able to make smarter business decisions and higher profits. This book will be a useful and enlightening read for MBA students in pricing and revenue management, marketing, and service operations.

Revenue Management and Pricing Analytics

Revenue Management and Pricing Analytics PDF Author: Guillermo Gallego
Publisher: Springer
ISBN: 1493996061
Category : Business & Economics
Languages : en
Pages : 346

Book Description
“There is no strategic investment that has a higher return than investing in good pricing, and the text by Gallego and Topaloghu provides the best technical treatment of pricing strategy and tactics available.” Preston McAfee, the J. Stanley Johnson Professor, California Institute of Technology and Chief Economist and Corp VP, Microsoft. “The book by Gallego and Topaloglu provides a fresh, up-to-date and in depth treatment of revenue management and pricing. It fills an important gap as it covers not only traditional revenue management topics also new and important topics such as revenue management under customer choice as well as pricing under competition and online learning. The book can be used for different audiences that range from advanced undergraduate students to masters and PhD students. It provides an in-depth treatment covering recent state of the art topics in an interesting and innovative way. I highly recommend it." Professor Georgia Perakis, the William F. Pounds Professor of Operations Research and Operations Management at the Sloan School of Management, Massachusetts Institute of Technology, Cambridge, Massachusetts. “This book is an important and timely addition to the pricing analytics literature by two authors who have made major contributions to the field. It covers traditional revenue management as well as assortment optimization and dynamic pricing. The comprehensive treatment of choice models in each application is particularly welcome. It is mathematically rigorous but accessible to students at the advanced undergraduate or graduate levels with a rich set of exercises at the end of each chapter. This book is highly recommended for Masters or PhD level courses on the topic and is a necessity for researchers with an interest in the field.” Robert L. Phillips, Director of Pricing Research at Amazon “At last, a serious and comprehensive treatment of modern revenue management and assortment optimization integrated with choice modeling. In this book, Gallego and Topaloglu provide the underlying model derivations together with a wide range of applications and examples; all of these facets will better equip students for handling real-world problems. For mathematically inclined researchers and practitioners, it will doubtless prove to be thought-provoking and an invaluable reference.” Richard Ratliff, Research Scientist at Sabre “This book, written by two of the leading researchers in the area, brings together in one place most of the recent research on revenue management and pricing analytics. New industries (ride sharing, cloud computing, restaurants) and new developments in the airline and hotel industries make this book very timely and relevant, and will serve as a critical reference for researchers.” Professor Kalyan Talluri, the Munjal Chair in Global Business and Operations, Imperial College, London, UK.

Pricing and Revenue Optimization

Pricing and Revenue Optimization PDF Author: Robert Phillips
Publisher: Stanford University Press
ISBN: 0804781648
Category : Business & Economics
Languages : en
Pages : 470

Book Description
This is the first comprehensive introduction to the concepts, theories, and applications of pricing and revenue optimization. From the initial success of "yield management" in the commercial airline industry down to more recent successes of markdown management and dynamic pricing, the application of mathematical analysis to optimize pricing has become increasingly important across many different industries. But, since pricing and revenue optimization has involved the use of sophisticated mathematical techniques, the topic has remained largely inaccessible to students and the typical manager. With methods proven in the MBA courses taught by the author at Columbia and Stanford Business Schools, this book presents the basic concepts of pricing and revenue optimization in a form accessible to MBA students, MS students, and advanced undergraduates. In addition, managers will find the practical approach to the issue of pricing and revenue optimization invaluable. Solutions to the end-of-chapter exercises are available to instructors who are using this book in their courses. For access to the solutions manual, please contact [email protected].

Pricing Segmentation and Analytics

Pricing Segmentation and Analytics PDF Author: Tudor Bodea
Publisher:
ISBN: 9781606492574
Category : Business & Economics
Languages : en
Pages : 160

Book Description
Pricing analytics uses historical sales data with mathematical optimization to set and update prices offered through various channels in order to maximize profit. A familiar example is the passenger airline industry, where a carrier may sell seats on the same flight at many different prices. Pricing analytics practices have transformed the transportation and hospitality industries, and are increasingly important in industries as diverse as retail, telecommunications, banking, health care and manufacturing. The aim of this book is to guide students and professionals on how to identify and exploit pricing opportunities in different business contexts.

The Theory and Practice of Revenue Management

The Theory and Practice of Revenue Management PDF Author: Kalyan T. Talluri
Publisher: Springer Science & Business Media
ISBN: 0387273913
Category : Business & Economics
Languages : en
Pages : 731

Book Description
Revenue management (RM) has emerged as one of the most important new business practices in recent times. This book is the first comprehensive reference book to be published in the field of RM. It unifies the field, drawing from industry sources as well as relevant research from disparate disciplines, as well as documenting industry practices and implementation details. Successful hardcover version published in April 2004.

Pricing Analytics

Pricing Analytics PDF Author: Walter R. Paczkowski
Publisher: Routledge
ISBN: 1351713094
Category : Business & Economics
Languages : en
Pages : 318

Book Description
The theme of this book is simple. The price – the number someone puts on a product to help consumers decide to buy that product – comes from data. Specifically, itcomes from statistically modeling the data. This book gives the reader the statistical modeling tools needed to get the number to put on a product. But statistical modeling is not done in a vacuum. Economic and statistical principles and theory conjointly provide the background and framework for the models. Therefore, this book emphasizes two interlocking components of modeling: economic theory and statistical principles. The economic theory component is sufficient to provide understanding of the basic principles for pricing, especially about elasticities, which measure the effects of pricing on key business metrics. Elasticity estimation is the goal of statistical modeling, so attention is paid to the concept and implications of elasticities. The statistical modeling component is advanced and detailed covering choice (conjoint, discrete choice, MaxDiff) and sales data modeling. Experimental design principles, model estimation approaches, and analysis methods are discussed and developed for choice models. Regression fundamentals have been developed for sales model specification and estimation and expanded for latent class analysis.

Essentials of Pricing Analytics

Essentials of Pricing Analytics PDF Author: Erik Haugom
Publisher:
ISBN: 9780367363222
Category : Electronic spreadsheets
Languages : en
Pages : 312

Book Description
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 include Excel templates and PowerPoint slides for each chapter.

Hotel Pricing in a Social World

Hotel Pricing in a Social World PDF Author: Kelly A. McGuire
Publisher: John Wiley & Sons
ISBN: 1119129966
Category : Business & Economics
Languages : en
Pages : 357

Book Description
Take control of revenue management in the new hotel economy Hotel Pricing in a Social World: How to Drive Value in the New Hotel Economy is an insightful resource that provides guidance on improving organizational decision making to keep your hotel relevant, from a pricing standpoint, in the often chaotic hotel landscape. This groundbreaking book clearly showcases the current environment of the hotel industry, and describes new and emerging trends that can impact your revenue management tactics. This essential text prepares you to survive and thrive in today's highly competitive market, and outlines the best approach to building profitable pricing strategies that follow both tactical and strategic best practices. Revenue management has become a key activity in the highly social environment of today's hotel industry, thanks to mobile technology and social media. Though relatively new, revenue management is a quickly-evolving discipline that requires precision if you want to maintain your hotel's relevance in the market. Leverage original research, case studies, and industry examples to understand the practical application of key concepts Explore current market conditions that have an impact on revenue management Consider how advances in data management, analytics, and data visualization can impact revenue management practices Identify how revenue management can help you take advantage of market opportunities and overcome challenges Hotel Pricing in a Social World: How to Drive Value in the New Hotel Economy is an essential text for hotel CFOs, CMOs, revenue managers, and operations managers who want to leverage revenue management techniques to keep their hotel competitive.

Freemium Economics

Freemium Economics PDF Author: Eric Benjamin Seufert
Publisher: Elsevier
ISBN: 0124166989
Category : Business & Economics
Languages : en
Pages : 254

Book Description
Freemium Economics presents a practical, instructive approach to successfully implementing the freemium model into your software products by building analytics into product design from the earliest stages of development. Your freemium product generates vast volumes of data, but using that data to maximize conversion, boost retention, and deliver revenue can be challenging if you don't fully understand the impact that small changes can have on revenue. In this book, author Eric Seufert provides clear guidelines for using data and analytics through all stages of development to optimize your implementation of the freemium model. Freemium Economics de-mystifies the freemium model through an exploration of its core, data-oriented tenets, so that you can apply it methodically rather than hoping that conversion and revenue will naturally follow product launch. - Learn how to apply data science and big data principles in freemium product design and development to maximize conversion, boost retention, and deliver revenue - Gain a broad introduction to the conceptual economic pillars of freemium and a complete understanding of the unique approaches needed to acquire users and convert them from free to paying customers - Get practical tips and analytical guidance to successfully implement the freemium model - Understand the metrics and infrastructure required to measure the success of a freemium product and improve it post-launch - Includes a detailed explanation of the lifetime customer value (LCV) calculation and step-by-step instructions for implementing key performance indicators in a simple, universally-accessible tool like Excel

Revenue Management for the Hospitality Industry

Revenue Management for the Hospitality Industry PDF Author: David K. Hayes
Publisher: John Wiley & Sons
ISBN: 1119790778
Category : Business & Economics
Languages : en
Pages : 482

Book Description
REVENUE MANAGEMENT FOR THE HOSPITALITY INDUSTRY Explore intermediate and advanced topics in the field of revenue management with this up-to-date guide In the newly revised second edition of Revenue Management for the Hospitality Industry, an accomplished team of industry professionals delivers a comprehensive and insightful review of hospitality pricing and revenue optimization strategies. The book offers realistic industry examples from hotels, restaurants, and other hospitality industry segments that use differential pricing as a major revenue management tool. The authors discuss concepts critical to the achievement of hospitality professionals’ revenue management goals and include new examinations of the growing importance of effective data collection and management. A running case study helps students learn how to incorporate the revenue management principles and strategies included in the book’s 14 chapters. Written for students with some prior knowledge and understanding of the hospitality industry, the new edition also includes: A brand-new chapter on data analysis and revenue management that addresses many of the most important data and technology-related developments in the field, including the management of big data, data safety, and data security In-depth discussions of revenue management topics including Net Revenue Per Available Room, Direct Revenue Ratio, and other KPIs Major changes to the book’s instructor support materials and an expansion of the instructor’s test bank items and student exercises. An indispensable resource for students taking courses in hospitality management or business administration, Revenue Management for the Hospitality Industry, Second Edition is also ideal for managers and executives in the hospitality industry.
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