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Pricing Analytics
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Pricing Analytics
This book provides the statistical modeling tools needed to set the right price for a product by emphasizing the interlocking components of economic theory and statistical principles.
Pricing Analytics
Vara #: 36961645

Pricing Analytics

83% of respondents would recommend this to a friend

Vara #: 36961645

ISK 6360

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This book provides the statistical modeling tools needed to set the right price for a product by emphasizing the interlocking components of economic theory and statistical principles.
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What Stands Out

Comprehensive Insights
Provides in-depth analysis and insights on pricing strategies, enabling businesses to optimize their pricing and maximize profitability in competitive markets.
Real-World Case Studies
Includes practical case studies that illustrate effective pricing techniques, offering readers actionable strategies that can be applied directly to their own pricing challenges.
User-Friendly Format
Presents complex pricing concepts in an accessible manner, making it suitable for both pricing professionals and beginners seeking to enhance their understanding of pricing analytics.

Upplýsingar um vöru

Shop Pricing Analytics online at a best price in Iceland. 1138623938
  • 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.
Publisher Routledge
Publication date June 26, 2018
Edition 1st
Language English
Print length 338 pages
ISBN-10 1138623938
ISBN-13 978-1138623934
Item Weight 1.1 pounds (500 grams)
Dimensions 6.14 x 0.77 x 9.21 inches (15.6 x 2 x 23.4 cm)

Who Should Buy?

Suitable For
  • Pricing Analysts

    Ideal for pricing analysts seeking comprehensive tools to optimize pricing strategies and analyze market trends effectively.

  • Business Strategists

    Useful for business strategists aiming to deepen their understanding of pricing models to enhance competitive advantage.

  • Data Scientists

    Data scientists can leverage the insights and analytical models provided to derive valuable pricing insights from data.

Not Suitable For
  • Beginners in Pricing

    Not suited for beginners with no prior knowledge of pricing concepts, as it may be too complex.

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Global Editorial Review

**** "Pricing Analytics 1st Edition" offers a comprehensive and practical exploration of the mechanics behind pricing strategies, drawing heavily on concepts related to price elasticity and data-driven decision-making. Readers who come from a design-centric approach to pricing may find this book to provide a refreshing perspective, despite the differences in philosophy. The author succeeds in breaking down complex math related to price elasticity into digestible segments, making it accessible even for those less familiar with the underlying mathematics. The in-depth analysis of key pricing research tools like conjoint analysis, discrete choice, and MaxDiff methods showcases the book's thorough research and application of practical examples across various industries, including drones and learning management software. This relevance to real-world scenarios adds significant value, as the insights stem from the author's hands-on experience in the field. However, the book isn’t without its downsides. Critiques regarding its physical presentation highlight issues with binding and cover quality which may detract from the user experience. Additionally, the use of numerical citations without accompanying author names can create confusion for readers trying to locate references. Suggestions for improvement include a desire for more extensive discussions on how pricing analyses can influence strategic decisions, as well as frustrations regarding the poor formatting of the Kindle edition, which undermines the reading experience. Overall, "Pricing Analytics" is recommended for professionals who are data-oriented and looking for actionable insights in pricing theory. It serves as a valuable reference for those aiming to turn quantitative data into effective pricing strategies, though Considerations around usability might affect the experience for some readers. **

Customer Reviews & Ratings

4.2
24 einkunnir viðskiptavina
  • 5 stjarna
    65%
  • 4 stjarna
    15%
  • 3 stjarna
    7%
  • 2 stjarna
    9%
  • 1 stjarna
    4%

Umsögn um þessa vöru

Deildu áliti þínu með öðrum viðskiptavinum

Kostir

  • Practical and clear explanation of price elasticity and related math
  • In-depth analysis of essential pricing research tools
  • Examples from various relevant industries provide real-world context
  • Great for data-driven professionals aiming to enhance pricing strategies

Gallar

  • Numerical citations in the text can be confusing

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ISK 6360

Pantaðu núna og fáðu það í kringum Þriðjudagur, Október 13

QTY:

Aðeins 4 vörur eftir á lager.
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Eiginleikar og kostir

  • Provides understanding of economic theory for pricing, especially elasticities
  • Focuses on statistical modeling for elasticity estimation
  • Covers advanced choice and sales data modeling techniques
  • Discusses experimental design principles and model estimation approaches
  • Develops regression fundamentals for sales model specification
  • Expands into latent class analysis for in-depth insights

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