April 2024
Beginner to intermediate
432 pages
12h 45m
English
Content preview from Mastering Marketing Data Science
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CHAPTER 3Descriptive Analytics in Marketing
3.1 INTRODUCTION
Descriptive analytics serves as the cornerstone of the marketing data science process. It involves a meticulous examination of historical data to discern and illustrate key patterns, trends, and relationships. This foundational analytical technique is essential for marketers who seek to obtain a panoramic understanding of customer behavior, market conditions, and the efficiency of marketing initiatives. By leveraging descriptive analytics, marketers can unearth insights that drive informed decision-making and fine-tune their marketing strategies for enhanced impact (Chaffey & Ellis-Chadwick, 2019; Wedel & Kannan, 2016).
This chapter unfolds the multifaceted aspects of descriptive analytics within the marketing realm, blending theory with practical application. We shall dissect key concepts, delve into robust techniques, and showcase the pivotal applications of descriptive analytics in marketing. Each section is fortified with practical examples and illustrative visual aids, bringing to life the principles and techniques discussed.
The strategic advantage conferred by descriptive analytics cannot be overstated. It is the analytical bedrock that sets the stage for more sophisticated approaches, such as predictive and prescriptive analytics. These advanced stages of analytics, which anticipate future events and recommend optimal marketing actions, build on the insights gleaned from descriptive analysis (Sharda et ...
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I'm always learning. So when I got on to O'Reilly, I was like a kid in a candy store. There are playlists. There are answers. There's on-demand training. It's worth its weight in gold, in terms of what it allows me to do.