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Author: Zontee Hou Publisher: Kogan Page Publishers ISBN: 1398614610 Category : Business & Economics Languages : en Pages : 281
Book Description
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: Zontee Hou Publisher: Kogan Page Publishers ISBN: 1398614610 Category : Business & Economics Languages : en Pages : 281
Book Description
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: Category : Business & Economics Languages : en Pages : 9
Book Description
"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: Uta Kohl Publisher: Cambridge University Press ISBN: 1108835694 Category : Juvenile Nonfiction Languages : en Pages : 333
Book Description
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: 9781933360409 Category : Printing industry Languages : en Pages : 0
Book Description
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: Diaz Nesamoney Publisher: FT Press ISBN: 0134031075 Category : Business & Economics Languages : en Pages : 293
Book Description
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: Gerardus Blokdyk Publisher: 5starcooks ISBN: 9780655436096 Category : Languages : en Pages : 286
Book Description
Is the Data-Driven Personalization scope manageable? How can you improve Data-Driven Personalization? Which individuals, teams or departments will be involved in Data-Driven Personalization? Do you aggressively reward and promote the people who have the biggest impact on creating excellent Data-Driven Personalization services/products? Think about the functions involved in your Data-Driven Personalization project, what processes flow from these functions? This premium Data-Driven Personalization self-assessment will make you the dependable Data-Driven Personalization domain veteran by revealing just what you need to know to be fluent and ready for any Data-Driven Personalization challenge. How do I reduce the effort in the Data-Driven Personalization work to be done to get problems solved? How can I ensure that plans of action include every Data-Driven Personalization task and that every Data-Driven Personalization outcome is in place? How will I save time investigating strategic and tactical options and ensuring Data-Driven Personalization costs are low? How can I deliver tailored Data-Driven Personalization advice instantly with structured going-forward plans? There's no better guide through these mind-expanding questions than acclaimed best-selling author Gerard Blokdyk. Blokdyk ensures all Data-Driven Personalization essentials are covered, from every angle: the Data-Driven Personalization self-assessment shows succinctly and clearly that what needs to be clarified to organize the required activities and processes so that Data-Driven Personalization outcomes are achieved. Contains extensive criteria grounded in past and current successful projects and activities by experienced Data-Driven Personalization practitioners. Their mastery, combined with the easy elegance of the self-assessment, provides its superior value to you in knowing how to ensure the outcome of any efforts in Data-Driven Personalization are maximized with professional results. Your purchase includes access details to the Data-Driven Personalization self-assessment dashboard download which gives you your dynamically prioritized projects-ready tool and shows you exactly what to do next. Your exclusive instant access details can be found in your book. You will receive the following contents with New and Updated specific criteria: - The latest quick edition of the book in PDF - The latest complete edition of the book in PDF, which criteria correspond to the criteria in... - The Self-Assessment Excel Dashboard, and... - Example pre-filled Self-Assessment Excel Dashboard to get familiar with results generation ...plus an extra, special, resource that helps you with project managing. INCLUDES LIFETIME SELF ASSESSMENT UPDATES Every self assessment comes with Lifetime Updates and Lifetime Free Updated Books. Lifetime Updates is an industry-first feature which allows you to receive verified self assessment updates, ensuring you always have the most accurate information at your fingertips.
Author: Uta Kohl Publisher: Cambridge University Press ISBN: 1108875890 Category : Law Languages : en Pages : 333
Book Description
The most fascinating and profitable subject of predictive algorithms is the human actor. Analysing big data through learning algorithms to predict and pre-empt individual decisions gives a powerful tool to corporations, political parties and the state. Algorithmic analysis of digital footprints, as an omnipresent form of surveillance, has already been used in diverse contexts: behavioural advertising, personalised pricing, political micro-targeting, precision medicine, and predictive policing and prison sentencing. This volume brings together experts to offer philosophical, sociological, and legal perspectives on these personalised data practices. It explores common themes such as choice, personal autonomy, equality, privacy, and corporate and governmental efficiency against the normative frameworks of the market, democracy and the rule of law. By offering these insights, this collection on data-driven personalisation seeks to stimulate an interdisciplinary debate on one of the most pervasive, transformative, and insidious socio-technical developments of our time.
Author: Alejandro Peña-Ayala Publisher: Springer ISBN: 3319529773 Category : Technology & Engineering Languages : en Pages : 310
Book Description
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: 9781398614628 Category : Business & Economics Languages : en Pages : 0
Book Description
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: Karl Wirth Publisher: Bookbaby ISBN: 9780999369449 Category : Business & Economics Languages : en Pages : 230
Book Description
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.
Author: Zontee Hou
Author: Zontee Hou
Author: Mayfair Digital Agency
Author: Uta Kohl
Author: Patricia A. Sorce
Author: Diaz Nesamoney
Author: Gerardus Blokdyk
Author: Uta Kohl
Author: Alejandro Peña-Ayala
Author: Zontee Hou
Author: Karl Wirth