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Pricing Analytics

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Hardback
456 Pages
12 October 2026
RRP: $362.00
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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.

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    Product Details
    ISBN-13
    9781041198116
    Author
    Walter R. Paczkowski
    Publisher
    Taylor & Francis
    Published
    12 October 2026
    Format
    Hardback
    Pages
    456

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    RRP: $362.00
    $357.00
    Ships in 2-5 business days

    Delivery estimate

    Hurry up! Current stock:

    Pricing Analytics

    RRP: $362.00
    $357.00

    Description

    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.

    You Can Find This Title In

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