This updated and expanded second edition has the same theme as the first: the price, the number, someone puts on a product to help consumers decide to buy that product, comes from statistically modeling data.
Five new chapters provide a wider perspective on pricing analytics to more effectively develop elasticities and pricing strategies. This book gives readers the statistical modeling tools needed to get the number to put on a product, based on economic and statistical principles and theory. It covers elasticities, methodologies for analyzing customer choices including conjoint analysis, pricing segmentation, big data and econometric models—now with improved explanations and developments. The second edition adds discussion of three important and advanced topics: simulations for testing strategies under different conditions such as scenario analysis, AI applications for elasticity estimation and dynamic pricing, and the impacts of tariffs.
A comprehensive and essential resource for analysts—economists, statisticians, or market researchers—who must estimate the optimal price for a product or service, this book is also a helpful guide for upper-level students in analytics disciplines.
This updated and expanded second edition has the same theme as the first: the price, the number, someone puts on a product to help consumers decide to buy that product, comes from statistically modeling data.
Five new chapters provide a wider perspective on pricing analytics to more effectively develop elasticities and pricing strategies. This book gives readers the statistical modeling tools needed to get the number to put on a product, based on economic and statistical principles and theory. It covers elasticities, methodologies for analyzing customer choices including conjoint analysis, pricing segmentation, big data and econometric models—now with improved explanations and developments. The second edition adds discussion of three important and advanced topics: simulations for testing strategies under different conditions such as scenario analysis, AI applications for elasticity estimation and dynamic pricing, and the impacts of tariffs.
A comprehensive and essential resource for analysts—economists, statisticians, or market researchers—who must estimate the optimal price for a product or service, this book is also a helpful guide for upper-level students in analytics disciplines.
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...
"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...
Over the past few decades marketing practices have shifted with the sudden growth of social media and the proliferation of devices, platforms, and applications. This rapidly changing environment...
Asymptotic analysis of stochastic stock price models is the central topic of the present volume. Special examples of such models are stochastic volatility models, that have been developed as an...
Bachelor Thesis from the year 2013 in the subject Agrarian Studies, grade: 9.80, , course: Agri Business Management, language: English, abstract: STUDY ON PRICING VARIABILITY OF TOMATO IN WESTERN...
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