Marketing Analytics : A Practical Guide to Improving Consumer Insights Using Data Techniques
3 Revised edition
by
Mike Grigsby
Book Details
Format
Hardback or Cased Book
ISBN-10
1398608211
ISBN-13
9781398608214
Edition
3 Revised edition
Publisher
Kogan Page Ltd
Imprint
Kogan Page Ltd
Country of Manufacture
GB
Country of Publication
GB
Publication Date
Dec 3rd, 2022
Print length
336 Pages
Weight
725 grams
Dimensions
24.00 x 16.40 x 2.80 cms
Product Classification:
Data analysis: generalData science and analysis
Ksh 17,100.00
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Confidently apply marketing analytics techniques to improve consumer insights and marketing performance, so you can compete more effectively in the marketplace.
<p><b>Who is most likely to buy and what is the best way to target them? How can I use both consumer analytics and modelling to improve the impact of marketing campaigns? <i>Marketing Analytics</i> takes you step-by-step through these areas and more.</b><br> <b><br> <i>Marketing Analytics</i></b> enables you to leverage predictive techniques to measure and improve marketing performance. By exploring real-world marketing challenges, it provides clear, jargon-free explanations on how to apply different analytical models for each purpose. From targeted list creation and data segmentation, to testing campaign effectiveness, pricing structures and forecasting demand, it offers a complete resource for how statistics, consumer analytics and modelling can be put to optimal use.<br><br> This revised and updated third edition of <b><i>Marketing Analytics</i> </b>contains new material on forecasting, customer touchpoints modelling, and a new focus on customer loyalty. With accessible language throughout, methodologies are simplified to ensure the more complex aspects of data and analytics are fully accessible for any level of application. Supported by a glossary of key terms and supporting resources consisting of datasets and presentation slides for different chapters and a test bank of self-test questions, this book supplies a concrete foundation for optimizing marketing analytics for day-to-day business advantage.</p>
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