{"id":14065,"date":"2023-12-05T18:18:42","date_gmt":"2023-12-05T18:18:42","guid":{"rendered":"https:\/\/lacountystore.com\/\/?p=14065"},"modified":"2023-12-05T18:18:42","modified_gmt":"2023-12-05T18:18:42","slug":"best-books-on-marketing-analytics","status":"publish","type":"post","link":"https:\/\/lacountystore.com\/best-books-on-marketing-analytics\/","title":{"rendered":"20 Best Books On Marketing Analytics (2023 Update)"},"content":{"rendered":"

Are you looking for the Best Books On Marketing Analytics<\/strong>? If so, you’ve come to the right place.<\/p>\n

Choosing the Best Books On Marketing Analytics can be difficult as there are so many considerations, such as Penguin Random House, Prima Marketing, WHSmith, Amazon.com. We have done a lot of research to find the Top 20 Best Books On Marketing Analytics<\/strong> available.<\/p>\n

The average cost is $30.75<\/i>. Sold comparable range in price from a low of $11.11<\/i> to a high of $56.68<\/i>.<\/p>\n

Based on the research we did, we think Marketing Analytics: Strategic Models and Metrics [Book]<\/strong><\/a> is the best overall. Read on for the rest of the great options and our buying guide, where you can find all the information you need to know before making an informed purchase.<\/p>\n

20 Best Books On Marketing Analytics (19 Sellers)<\/h2>\n
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Product Image<\/span><\/th>\nProduct Name<\/span><\/th>\nFeatures<\/span><\/th>\nCheck Price<\/span><\/th>\n<\/tr>\n<\/thead>\n
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    • Almost 500 pages of text, covering a wide variety of decision models and metrics<\/li>\n
    • Nearly 400 figures, including diagrams, tables, and charts<\/li>\n
    • Step-by-step instructions on market segmentation, conjoint analysis, and other techniques<\/li>\n<\/ul>\n<\/div>\n<\/div>\n<\/li>\n<\/ul>\n<\/div>\n<\/td>\n
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    • Used book in good condition<\/li>\n
    • Highlight, take notes and search in the book<\/li>\n
    • In this edition, page numbers are just like the physical edition<\/li>\n<\/ul>\n<\/div>\n<\/div>\n<\/li>\n<\/ul>\n<\/div>\n<\/td>\n
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    • Understand how to apply marketing analytics techniques fearlessly, to improve consumer insights and compete more effectively in the marketplace.<\/li>\n
    • Binding type: paperback.<\/li>\n
    • Year published: 2018-04-03.<\/li>\n<\/ul>\n<\/div>\n<\/div>\n<\/li>\n<\/ul>\n<\/div>\n<\/td>\n
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    • Part 1: the day the geeks took over<\/li>\n
    • Part 2: consumer\/brand relationships<\/li>\n
    • Part 3: the science of analytics<\/li>\n<\/ul>\n<\/div>\n<\/div>\n<\/li>\n<\/ul>\n<\/div>\n<\/td>\n
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    • Series: mastering business analytics<\/li>\n
    • Binding type: paperback<\/li>\n
    • Publisher: taylor &amp; francis ltd<\/li>\n<\/ul>\n<\/div>\n<\/div>\n<\/li>\n<\/ul>\n<\/div>\n<\/td>\n
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    • Number of pages: 312<\/li>\n
    • Genre: business + money management<\/li>\n
    • Sub-genre: education<\/li>\n<\/ul>\n<\/div>\n<\/div>\n<\/li>\n<\/ul>\n<\/div>\n<\/td>\n
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    • Binding type: paperback<\/li>\n
    • Year published: 2022-03-24<\/li>\n
    • Number of pages: 432<\/li>\n<\/ul>\n<\/div>\n<\/div>\n<\/li>\n<\/ul>\n<\/div>\n<\/td>\n
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    • Binding type: hardback<\/li>\n
    • Year published: 2020-10-26<\/li>\n
    • Number of pages: 256<\/li>\n<\/ul>\n<\/div>\n<\/div>\n<\/li>\n<\/ul>\n<\/div>\n<\/td>\n
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    • Why more than 80 percent of companies don&#39;t make data-driven marketing decisions (and suffer for it)<\/li>\n
    • The 15 key metrics every marketer should know<\/li>\n
    • The five obstacles to data-driven marketing and how to overcome them<\/li>\n<\/ul>\n<\/div>\n<\/div>\n<\/li>\n<\/ul>\n<\/div>\n<\/td>\n
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    • Binding type: hardback<\/li>\n
    • Year published: 2007-02-22<\/li>\n
    • Number of pages: 240<\/li>\n<\/ul>\n<\/div>\n<\/div>\n<\/li>\n<\/ul>\n<\/div>\n<\/td>\n
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    • Binding type: hardback<\/li>\n
    • Year published: 2016-10-04<\/li>\n
    • Number of pages: 208<\/li>\n<\/ul>\n<\/div>\n<\/div>\n<\/li>\n<\/ul>\n<\/div>\n<\/td>\n
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    • Leverage big data insights to improve customer experiences and insure business success<\/li>\n
    • Explains how marketers can use data to learn what they need to know<\/li>\n
    • Details strategies to drive marketing relevance and return on marketing investment (romi)<\/li>\n<\/ul>\n<\/div>\n<\/div>\n<\/li>\n<\/ul>\n<\/div>\n<\/td>\n
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    • Highlight, take notes and search in the book<\/li>\n
    • In this edition, page numbers are just like the physical edition<\/li>\n<\/ul>\n<\/div>\n<\/div>\n<\/li>\n<\/ul>\n<\/div>\n<\/td>\n
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    • There is no shortage of digital marketing resources yet finding a book that covers all disciplines can be a challenge.<\/li>\n
    • Marketing automation, personalization, messaging and email.<\/li>\n
    • Online and offline integration.<\/li>\n<\/ul>\n<\/div>\n<\/div>\n<\/li>\n<\/ul>\n<\/div>\n<\/td>\n
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    • Essay-based format weaves together technical details and case studies to cut through complexity<\/li>\n
    • Provides a strong background in business situations that companies face, to ensure that data analytics efforts are productively directed and organized<\/li>\n
    • Appropriate for both business and engineering students who need to understand the data analytics lifecycle<\/li>\n<\/ul>\n<\/div>\n<\/div>\n<\/li>\n<\/ul>\n<\/div>\n<\/td>\n
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    • Binding type: paperback<\/li>\n
    • Year published: 2017-01-31<\/li>\n
    • Number of pages: 288<\/li>\n<\/ul>\n<\/div>\n<\/div>\n<\/li>\n<\/ul>\n<\/div>\n<\/td>\n
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    • Binding type: paperback<\/li>\n
    • Year published: 2017-01-31<\/li>\n
    • Number of pages: 288<\/li>\n<\/ul>\n<\/div>\n<\/div>\n<\/li>\n<\/ul>\n<\/div>\n<\/td>\n
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    • A clear, common sense guide for implementing an effective data analytics strategy.<\/li>\n
    • Welcome to the new marketing analytics.<\/li>\n<\/ul>\n<\/div>\n<\/div>\n<\/li>\n<\/ul>\n<\/div>\n<\/td>\n
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    • Binding type: paperback<\/li>\n
    • Year published: 2019-12-23<\/li>\n
    • Number of pages: 242<\/li>\n<\/ul>\n<\/div>\n<\/div>\n<\/li>\n<\/ul>\n<\/div>\n<\/td>\n
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    • Binding type: paperback<\/li>\n
    • Publisher: john wiley and sons ltd<\/li>\n
    • Year published: 2010-05-11<\/li>\n<\/ul>\n<\/div>\n<\/div>\n<\/li>\n<\/ul>\n<\/div>\n<\/td>\n
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