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Item #:
36961645
Pricing Analytics
83% of respondents would recommend this to a friend
Item #:
36961645
ETB 6700
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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.
Product Details
| 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?
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Pricing Analysts
Ideal for pricing analysts seeking comprehensive tools to optimize pricing strategies and analyze market trends effectively.
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Business Strategists
Useful for business strategists aiming to deepen their understanding of pricing models to enhance competitive advantage.
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Data Scientists
Data scientists can leverage the insights and analytical models provided to derive valuable pricing insights from data.
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Beginners in Pricing
Not suited for beginners with no prior knowledge of pricing concepts, as it may be too complex.
Product Description
Pricing Analytics
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Research 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. **
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Pros
- 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
Cons
- Numerical citations in the text can be confusing
Product Price History
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Features & Benefits
- 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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