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Marketing Analytics: A Practical Guide to Improving Consumer Insights Using Data Techniques
87% of respondents would recommend this to a friend
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The fully revised second edition of Marketing Analytics includes three new chapters on big data analytics, insights and panel regression, including how to collect, separate and analyze big data.
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Product Details
| Publisher | Kogan Page |
| Publication date | April 24, 2018 |
| Edition | 2nd |
| Language | English |
| Print length | 240 pages |
| ISBN-10 | 0749482168 |
| ISBN-13 | 978-0749482169 |
| Item Weight | 1.02 pounds (460 grams) |
| Dimensions | 5.71 x 1.18 x 8.27 inches (14.5 x 3 x 21 cm) |
Who Should Buy?
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Marketing Professionals
Ideal for marketers seeking to enhance their data analysis skills to improve consumer insights and decision-making.
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Students in Analytics
Beneficial for students studying marketing or analytics, providing practical examples and techniques in data interpretation.
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Business Analysts
Useful for analysts focused on transforming consumer data into actionable insights to drive strategy and performance.
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Beginner Marketers
Less suitable for beginners who may find advanced concepts overwhelming without foundational knowledge in marketing analytics.
Product Description
Marketing Analytics: A Practical Guide to Improving Consumer Insights Using Data Techniques
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Research Editorial Review
Marketing Analytics: A Practical Guide to Improving consumer Insights Using Data Techniques offers a comprehensive examination of analytic marketing methods, tailored for individuals with a solid grounding in statistics. While some readers may find the introductory material on univariate statistics insufficient for grasping the complexity of later concepts like regression models, the book excels in providing actionable insights and discussing applications relevant to marketing. Readers appreciate that it equips them with practical strategies for deriving consumer insights while also advising on how to utilize various analytic tools in real-world scenarios. The quick readability and recommended resources enhance its educational value, making it a suitable choice for those willing to delve deeper into marketing analytics, provided they have a background in the subject.
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Pros
- Well-written and easy to read
- Practical application of statistical methods
- Includes actionable insights for marketers
- Good for those with statistics background
- Provides career advice related to analytics
Cons
- Basic concepts may be too simple for some advanced users
Product Price History
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Features & Benefits
- Clear, jargon-free explanations on applying different analytical models
- Covers targeted list creation, data segmentation, testing campaign effectiveness, pricing structures and demand forecasting
- Updated advanced tools and techniques for predictive analytics
- Methods are simplified to be accessible for any level of application
- Supplies downloadable data sets and test bank resources
- Concrete foundation to optimize marketing analytics for business advantage
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