Data Driven Personalization

Author : Uta Kohl
Publisher : Cambridge University Press
ISBN 13 : 1108835694
Total Pages : 333 pages
Book Rating : 4.95/5 ( download)

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Download or read book Data-Driven Personalisation in Markets, Politics and Law written by Uta Kohl and published by Cambridge University Press. This book was released on 2021-07-29 with total page 333 pages. Available in PDF, EPUB and Kindle. Book excerpt: This book critiques the use of algorithms to pre-empt personal choices in its profound effect on markets, democracy and the rule of law.

Author : Patricia A. Sorce
Publisher :
ISBN 13 : 9781933360409
Total Pages : 0 pages
Book Rating : 4.02/5 ( download)

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Download or read book Personalization written by Patricia A. Sorce and published by . This book was released on 2009 with total page 0 pages. Available in PDF, EPUB and Kindle. Book excerpt: Patricia Sorce is the administrative chair of the Rochester Institute of Technology School of Print Media and co-director of the RIT Printing Industry Center. This book, the fourth volume in the Printing Industry Center Series, serves as a follow up to Dr. Sorce's previous book, Data-Driven Print, published in 2006. Here, she documents the importance of utilizing personalization and custom communication techniques, and identifies the best practices, best prospects and associated business models for delivering top value to printing clients. In addition, several case studies provide real-world examples of this evolving industry.

Author : Zontee Hou
Publisher : Kogan Page Publishers
ISBN 13 : 1398614610
Total Pages : 281 pages
Book Rating : 4.11/5 ( download)

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Download or read book Data-Driven Personalization written by Zontee Hou and published by Kogan Page Publishers. This book was released on 2024-05-03 with total page 281 pages. Available in PDF, EPUB and Kindle. Book excerpt: Make your marketing truly resonate by personalizing every message, powered by data, research and behavioral economics. To break through the noise, marketers today need to be hyper-relevant to their customers. To do that takes data and a deep understanding of your audience. Data-Driven Personalization breaks down the best ways to reach new customers and better engage your best customers. By combining principles of persuasion, behavioral economics and industry research, this book provides readers with an actionable blueprint for how to implement a customer-centric approach to marketing that will drive results. The book is broken into six parts that detail everything from what data is most valuable for personalization to how to build a data-driven marketing team that's prepared for the next five years and beyond. Each chapter includes actionable insights to guide marketers as they implement a data-driven personalization approach to their strategy. The chapters also focus on hands-on tactics like identifying messages that will move the needle with customers, how to generate seamless omnichannel experiences and how to balance personalization with data privacy. The book features case studies from top brands, including FreshDirect, Target, Adobe, Cisco and Spotify.

Author : Mayfair Digital Agency
Publisher : Mayfair Digital Agency
ISBN 13 :
Total Pages : 9 pages
Book Rating : 4./5 ( download)

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Download or read book Data-Driven Personalization: Customizing Experiences for Each Customer written by Mayfair Digital Agency and published by Mayfair Digital Agency. This book was released on 2020-01-26 with total page 9 pages. Available in PDF, EPUB and Kindle. Book excerpt: "Data-Driven Personalization: Customizing Experiences for Each Customer" is a book that delves into the essential concept of leveraging data-driven strategies to create personalized and tailored experiences for individual customers. The book explores how businesses can harness the vast amount of data available today to gain deep insights into their customers' preferences, behaviors, and needs. By using advanced analytics and artificial intelligence, companies can develop a comprehensive understanding of each customer, enabling them to offer targeted and relevant products, services, and interactions. Throughout the book, readers will learn about various data collection techniques, data analysis methodologies, and the role of machine learning in deciphering customer data. It emphasizes the significance of real-time data processing, allowing businesses to adapt swiftly to changing customer demands and preferences. Moreover, the book underscores the ethical considerations and data privacy concerns associated with data-driven personalization. Overall, "Data-Driven Personalization" serves as a practical guide for organizations seeking to enhance customer satisfaction, loyalty, and engagement through the power of data-driven decision-making.

Author : Diaz Nesamoney
Publisher : FT Press
ISBN 13 : 0134031075
Total Pages : 293 pages
Book Rating : 4.71/5 ( download)

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Download or read book Personalized Digital Advertising written by Diaz Nesamoney and published by FT Press. This book was released on 2015-03-31 with total page 293 pages. Available in PDF, EPUB and Kindle. Book excerpt: This is the first plain-English, 100% practical guide to supercharged digital advertising personalization: what's here, what's next, and how to make the most of it! Digital advertising and marketing are undergoing a massive, data-driven transformation: practically everything you thought you knew about them is obsolete. In Personalized Digital Advertising: How Data and Technology Are Transforming How We Market, pioneering entrepreneur Diaz Nesamoney demystifies the newest technologies, showing non-technical marketers how to use them to precisely target every message to every individual. First, Nesamoney explores the current state of digital advertising, reviewing best practices for maximizing personalization through long-familiar data and targeting technologies. Next, he introduces powerful recent innovations, presenting new best practices for deepening and extending personalization with: New data management platforms Advanced solutions for offline, mobile, and location data Powerful new ad production and serving technologies Nesamoney then previews emerging disruptive technologies and personalization approaches, from social data to new techniques for anticipating user intent. He concludes by introducing the Digital Advertising Technology Stack: a visual schematic showing how multiple products and technologies come together to radically improve advertising personalization and performance. Personalized Digital Advertising will be an indispensable resource for wide audiences of CMOs and marketing professionals, brand managers, media and creative directors, creative team members, and all students of digital advertising and marketing.

Author : Alejandro Peña-Ayala
Publisher : Springer
ISBN 13 : 3319529773
Total Pages : 303 pages
Book Rating : 4.76/5 ( download)

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Download or read book Learning Analytics: Fundaments, Applications, and Trends written by Alejandro Peña-Ayala and published by Springer. This book was released on 2017-02-17 with total page 303 pages. Available in PDF, EPUB and Kindle. Book excerpt: This book provides a conceptual and empirical perspective on learning analytics, its goal being to disseminate the core concepts, research, and outcomes of this emergent field. Divided into nine chapters, it offers reviews oriented on selected topics, recent advances, and innovative applications. It presents the broad learning analytics landscape and in-depth studies on higher education, adaptive assessment, teaching and learning. In addition, it discusses valuable approaches to coping with personalization and huge data, as well as conceptual topics and specialized applications that have shaped the current state of the art. By identifying fundamentals, highlighting applications, and pointing out current trends, the book offers an essential overview of learning analytics to enhance learning achievement in diverse educational settings. As such, it represents a valuable resource for researchers, practitioners, and students interested in updating their knowledge and finding inspirations for their future work.

Author : Zontee Hou
Publisher : Kogan Page
ISBN 13 : 9781398614628
Total Pages : 0 pages
Book Rating : 4.29/5 ( download)

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Download or read book Data-Driven Personalization: How to Use Consumer Insights to Generate Customer Loyalty written by Zontee Hou and published by Kogan Page. This book was released on 2024-05-28 with total page 0 pages. Available in PDF, EPUB and Kindle. Book excerpt: Your customers expect highly personalized experiences. Discover exactly how to deliver by collecting the right data and crafting messages that tap into behavioral psychology.

Author : Jenny Dearborn
Publisher : John Wiley & Sons
ISBN 13 : 1119043360
Total Pages : 260 pages
Book Rating : 4.62/5 ( download)

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Download or read book Data Driven written by Jenny Dearborn and published by John Wiley & Sons. This book was released on 2015-02-02 with total page 260 pages. Available in PDF, EPUB and Kindle. Book excerpt: A "how-to" guide to boosting sales through predictive and prescriptive analytics Data Driven is a uniquely practical guide to increasing sales success, using the power of data analytics. Written by one of the world's leading authorities on the topic, this book shows you how to transform the corporate sales function by leveraging big data into better decision-making, more informed strategy, and increased effectiveness throughout the organization. Engaging and informative, this book tells the story of a newly hired sales chief under intense pressure to deliver higher performance from her team, and how data analytics becomes the ultimate driver behind the sales function turnaround. Each chapter features insightful commentary and practical notes on the points the story raises, and one entire chapter is devoted solely to laying out the Prescriptive Action Model step-by-step giving you the actionable guidance you need to put it into action in your own organization. Predictive and prescriptive analytics is poised to change corporate sales, and companies that fail to adapt to the new realities and adopt the new practices will be left behind. This book explains why the Prescriptive Action Model is the key corporate sales weapon of the 21st Century, and how you can implement this dynamic new resource to bring value to your business. Exploit one of the last remaining sources of competitive advantage Re-engineer the sales function to optimize success rates Implement a more effective analytics model to drive efficient change Boost operational effectiveness and decision making with big data There are fewer competitive edges to gain than ever before. The only thing that's left is to execute business with maximum efficiency and make the smartest business decisions possible. Predictive analytics is the essential method behind this new standard, and Data Driven is the practical guide to complete, efficient implementation.

Author : Seiji Isotani
Publisher : Springer
ISBN 13 : 3030232077
Total Pages : 460 pages
Book Rating : 4.78/5 ( download)

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Download or read book Artificial Intelligence in Education written by Seiji Isotani and published by Springer. This book was released on 2019-06-20 with total page 460 pages. Available in PDF, EPUB and Kindle. Book excerpt: This two-volume set LNCS 11625 and 11626 constitutes the refereed proceedings of the 20th International Conference on Artificial Intelligence in Education, AIED 2019, held in Chicago, IL, USA, in June 2019. The 45 full papers presented together with 41 short, 10 doctoral consortium, 6 industry, and 10 workshop papers were carefully reviewed and selected from 177 submissions. AIED 2019 solicits empirical and theoretical papers particularly in the following lines of research and application: Intelligent and interactive technologies in an educational context; Modelling and representation; Models of teaching and learning; Learning contexts and informal learning; Evaluation; Innovative applications; Intelligent techniques to support disadvantaged schools and students, inequity and inequality in education.​

Author : Karl Wirth
Publisher : Bookbaby
ISBN 13 : 9780999369449
Total Pages : 230 pages
Book Rating : 4.4X/5 ( download)

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Download or read book One-To-One Personalization in the Age of Machine Learning written by Karl Wirth and published by Bookbaby. This book was released on 2020-01-07 with total page 230 pages. Available in PDF, EPUB and Kindle. Book excerpt: For over 25 years, marketers have longed to connect with their customers and prospects as individuals. As the volume of customer communications across touch points grows exponentially and consumers' attention spans shrink by the day, delivering maximally relevant, individualized experiences has become an imperative. And while the one-to-one dream had been unattainable for years, machine learning and real-time processing have made it possible today. In this book--now in its second edition--discover what one-to-one personalization is all about, how it's evolved and what the future entails. Learn how it's driven by machine learning, delivered across channels and powered by in-depth customer data brought together in a customer data platform (CDP). Get inspired by the potential for your business and gain insights on how to develop your own personalization strategy and program. Discover how to turn the one-to-one dream into a reality.