Mastering Marketing Data Science

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Mastering Marketing Data Science

Iain Brown
Mastering Marketing Data Science Book PDF

Author : Iain Brown
Publisher : John Wiley & Sons
Page : 439 pages
File Size : 52,6 Mb
Release : 2024-04-29
Category : Computers
ISBN : 9781394258710

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Mastering Marketing Data Science by Iain Brown Pdf

Unlock the Power of Data: Transform Your Marketing Strategies with Data Science In the digital age, understanding the symbiosis between marketing and data science is not just an advantage; it's a necessity. In Mastering Marketing Data Science: A Comprehensive Guide for Today's Marketers, Dr. Iain Brown, a leading expert in data science and marketing analytics, offers a comprehensive journey through the cutting-edge methodologies and applications that are defining the future of marketing. This book bridges the gap between theoretical data science concepts and their practical applications in marketing, providing readers with the tools and insights needed to elevate their strategies in a data-driven world. Whether you're a master's student, a marketing professional, or a data scientist keen on applying your skills in a marketing context, this guide will empower you with a deep understanding of marketing data science principles and the competence to apply these principles effectively. Comprehensive Coverage: From data collection to predictive analytics, NLP, and beyond, explore every facet of marketing data science. Practical Applications: Engage with real-world examples, hands-on exercises in both Python & SAS, and actionable insights to apply in your marketing campaigns. Expert Guidance: Benefit from Dr. Iain Brown's decade of experience as he shares cutting-edge techniques and ethical considerations in marketing data science. Future-Ready Skills: Learn about the latest advancements, including generative AI, to stay ahead in the rapidly evolving marketing landscape. Accessible Learning: Tailored for both beginners and seasoned professionals, this book ensures a smooth learning curve with a clear, engaging narrative. Mastering Marketing Data Science is designed as a comprehensive how-to guide, weaving together theory and practice to offer a dynamic, workbook-style learning experience. Dr. Brown's voice and expertise guide you through the complexities of marketing data science, making sophisticated concepts accessible and actionable.

Creating Value with Data Analytics in Marketing

Peter C. Verhoef,Edwin Kooge,Natasha Walk,Jaap E. Wieringa
Creating Value with Data Analytics in Marketing Book PDF

Author : Peter C. Verhoef,Edwin Kooge,Natasha Walk,Jaap E. Wieringa
Publisher : Routledge
Page : 337 pages
File Size : 48,6 Mb
Release : 2021-11-07
Category : Business & Economics
ISBN : 9781000465464

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Creating Value with Data Analytics in Marketing by Peter C. Verhoef,Edwin Kooge,Natasha Walk,Jaap E. Wieringa Pdf

The key competing texts are practitioner-focused ‘how to’ guides, whilst our book combines rigorous theory with practical insight and examples, with authors from both the academic and business world, making it more adoptable as a student text; Unlike other books on the subject, this has a customer focus and an exploration of how big data can add value to customers as well as organisations; Enables readers to move from "big data" to "big solutions" by demonstrating how to integrate data analytics into specific goals and processes for implementation; Highly successful and well regarded both for students and practitioners

Mastering Marketing Data Science

Iain Brown
Mastering Marketing Data Science Book PDF

Author : Iain Brown
Publisher : John Wiley & Sons
Page : 439 pages
File Size : 42,5 Mb
Release : 2024-04-26
Category : Computers
ISBN : 9781394258727

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Mastering Marketing Data Science by Iain Brown Pdf

Unlock the Power of Data: Transform Your Marketing Strategies with Data Science In the digital age, understanding the symbiosis between marketing and data science is not just an advantage; it's a necessity. In Mastering Marketing Data Science: A Comprehensive Guide for Today's Marketers, Dr. Iain Brown, a leading expert in data science and marketing analytics, offers a comprehensive journey through the cutting-edge methodologies and applications that are defining the future of marketing. This book bridges the gap between theoretical data science concepts and their practical applications in marketing, providing readers with the tools and insights needed to elevate their strategies in a data-driven world. Whether you're a master's student, a marketing professional, or a data scientist keen on applying your skills in a marketing context, this guide will empower you with a deep understanding of marketing data science principles and the competence to apply these principles effectively. Comprehensive Coverage: From data collection to predictive analytics, NLP, and beyond, explore every facet of marketing data science. Practical Applications: Engage with real-world examples, hands-on exercises in both Python & SAS, and actionable insights to apply in your marketing campaigns. Expert Guidance: Benefit from Dr. Iain Brown's decade of experience as he shares cutting-edge techniques and ethical considerations in marketing data science. Future-Ready Skills: Learn about the latest advancements, including generative AI, to stay ahead in the rapidly evolving marketing landscape. Accessible Learning: Tailored for both beginners and seasoned professionals, this book ensures a smooth learning curve with a clear, engaging narrative. Mastering Marketing Data Science is designed as a comprehensive how-to guide, weaving together theory and practice to offer a dynamic, workbook-style learning experience. Dr. Brown's voice and expertise guide you through the complexities of marketing data science, making sophisticated concepts accessible and actionable.

Data Science for Marketing Analytics

Tommy Blanchard,Debasish Behera,Pranshu Bhatnagar
Data Science for Marketing Analytics Book PDF

Author : Tommy Blanchard,Debasish Behera,Pranshu Bhatnagar
Publisher : Packt Publishing Ltd
Page : 420 pages
File Size : 47,7 Mb
Release : 2019-03-30
Category : Computers
ISBN : 9781789952100

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Data Science for Marketing Analytics by Tommy Blanchard,Debasish Behera,Pranshu Bhatnagar Pdf

Explore new and more sophisticated tools that reduce your marketing analytics efforts and give you precise results Key FeaturesStudy new techniques for marketing analyticsExplore uses of machine learning to power your marketing analysesWork through each stage of data analytics with the help of multiple examples and exercisesBook Description Data Science for Marketing Analytics covers every stage of data analytics, from working with a raw dataset to segmenting a population and modeling different parts of the population based on the segments. The book starts by teaching you how to use Python libraries, such as pandas and Matplotlib, to read data from Python, manipulate it, and create plots, using both categorical and continuous variables. Then, you'll learn how to segment a population into groups and use different clustering techniques to evaluate customer segmentation. As you make your way through the chapters, you'll explore ways to evaluate and select the best segmentation approach, and go on to create a linear regression model on customer value data to predict lifetime value. In the concluding chapters, you'll gain an understanding of regression techniques and tools for evaluating regression models, and explore ways to predict customer choice using classification algorithms. Finally, you'll apply these techniques to create a churn model for modeling customer product choices. By the end of this book, you will be able to build your own marketing reporting and interactive dashboard solutions. What you will learnAnalyze and visualize data in Python using pandas and MatplotlibStudy clustering techniques, such as hierarchical and k-means clusteringCreate customer segments based on manipulated data Predict customer lifetime value using linear regressionUse classification algorithms to understand customer choiceOptimize classification algorithms to extract maximal informationWho this book is for Data Science for Marketing Analytics is designed for developers and marketing analysts looking to use new, more sophisticated tools in their marketing analytics efforts. It'll help if you have prior experience of coding in Python and knowledge of high school level mathematics. Some experience with databases, Excel, statistics, or Tableau is useful but not necessary.

Data Science for Marketing Analytics

Mirza Rahim Baig,Gururajan Govindan,Vishwesh Ravi Shrimali
Data Science for Marketing Analytics Book PDF

Author : Mirza Rahim Baig,Gururajan Govindan,Vishwesh Ravi Shrimali
Publisher : Packt Publishing Ltd
Page : 637 pages
File Size : 42,9 Mb
Release : 2021-09-07
Category : Computers
ISBN : 9781800563889

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Data Science for Marketing Analytics by Mirza Rahim Baig,Gururajan Govindan,Vishwesh Ravi Shrimali Pdf

Turbocharge your marketing plans by making the leap from simple descriptive statistics in Excel to sophisticated predictive analytics with the Python programming language Key FeaturesUse data analytics and machine learning in a sales and marketing contextGain insights from data to make better business decisionsBuild your experience and confidence with realistic hands-on practiceBook Description Unleash the power of data to reach your marketing goals with this practical guide to data science for business. This book will help you get started on your journey to becoming a master of marketing analytics with Python. You'll work with relevant datasets and build your practical skills by tackling engaging exercises and activities that simulate real-world market analysis projects. You'll learn to think like a data scientist, build your problem-solving skills, and discover how to look at data in new ways to deliver business insights and make intelligent data-driven decisions. As well as learning how to clean, explore, and visualize data, you'll implement machine learning algorithms and build models to make predictions. As you work through the book, you'll use Python tools to analyze sales, visualize advertising data, predict revenue, address customer churn, and implement customer segmentation to understand behavior. By the end of this book, you'll have the knowledge, skills, and confidence to implement data science and machine learning techniques to better understand your marketing data and improve your decision-making. What you will learnLoad, clean, and explore sales and marketing data using pandasForm and test hypotheses using real data sets and analytics toolsVisualize patterns in customer behavior using MatplotlibUse advanced machine learning models like random forest and SVMUse various unsupervised learning algorithms for customer segmentationUse supervised learning techniques for sales predictionEvaluate and compare different models to get the best outcomesOptimize models with hyperparameter tuning and SMOTEWho this book is for This marketing book is for anyone who wants to learn how to use Python for cutting-edge marketing analytics. Whether you're a developer who wants to move into marketing, or a marketing analyst who wants to learn more sophisticated tools and techniques, this book will get you on the right path. Basic prior knowledge of Python and experience working with data will help you access this book more easily.

Marketing Data Science

Thomas W. Miller
Marketing Data Science Book PDF

Author : Thomas W. Miller
Publisher : FT Press
Page : 810 pages
File Size : 40,6 Mb
Release : 2015-05-02
Category : Business & Economics
ISBN : 9780133887341

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Marketing Data Science by Thomas W. Miller Pdf

Now, a leader of Northwestern University's prestigious analytics program presents a fully-integrated treatment of both the business and academic elements of marketing applications in predictive analytics. Writing for both managers and students, Thomas W. Miller explains essential concepts, principles, and theory in the context of real-world applications. Building on Miller's pioneering program, Marketing Data Science thoroughly addresses segmentation, target marketing, brand and product positioning, new product development, choice modeling, recommender systems, pricing research, retail site selection, demand estimation, sales forecasting, customer retention, and lifetime value analysis. Starting where Miller's widely-praised Modeling Techniques in Predictive Analytics left off, he integrates crucial information and insights that were previously segregated in texts on web analytics, network science, information technology, and programming. Coverage includes: The role of analytics in delivering effective messages on the web Understanding the web by understanding its hidden structures Being recognized on the web – and watching your own competitors Visualizing networks and understanding communities within them Measuring sentiment and making recommendations Leveraging key data science methods: databases/data preparation, classical/Bayesian statistics, regression/classification, machine learning, and text analytics Six complete case studies address exceptionally relevant issues such as: separating legitimate email from spam; identifying legally-relevant information for lawsuit discovery; gleaning insights from anonymous web surfing data, and more. This text's extensive set of web and network problems draw on rich public-domain data sources; many are accompanied by solutions in Python and/or R. Marketing Data Science will be an invaluable resource for all students, faculty, and professional marketers who want to use business analytics to improve marketing performance.

Mastering Search Analytics

Brent Chaters
Mastering Search Analytics Book PDF

Author : Brent Chaters
Publisher : "O'Reilly Media, Inc."
Page : 401 pages
File Size : 42,8 Mb
Release : 2011-10-14
Category : Computers
ISBN : 9781449302658

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Mastering Search Analytics by Brent Chaters Pdf

Readers learn what data to collect, how to analyze it, and how to act upon it. They will learn how to develop everything from an executive level dashboard and ROI measurement to a deep analysis of a specific term or word to see how it can improve overall ranking.

Creating Value with Big Data Analytics

Peter C. Verhoef,Edwin Kooge,Natasha Walk
Creating Value with Big Data Analytics Book PDF

Author : Peter C. Verhoef,Edwin Kooge,Natasha Walk
Publisher : Routledge
Page : 440 pages
File Size : 42,9 Mb
Release : 2016-01-08
Category : Business & Economics
ISBN : 9781317561910

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Creating Value with Big Data Analytics by Peter C. Verhoef,Edwin Kooge,Natasha Walk Pdf

Our newly digital world is generating an almost unimaginable amount of data about all of us. Such a vast amount of data is useless without plans and strategies that are designed to cope with its size and complexity, and which enable organisations to leverage the information to create value. This book is a refreshingly practical, yet theoretically sound roadmap to leveraging big data and analytics. Creating Value with Big Data Analytics provides a nuanced view of big data development, arguing that big data in itself is not a revolution but an evolution of the increasing availability of data that has been observed in recent times. Building on the authors’ extensive academic and practical knowledge, this book aims to provide managers and analysts with strategic directions and practical analytical solutions on how to create value from existing and new big data. By tying data and analytics to specific goals and processes for implementation, this is a much-needed book that will be essential reading for students and specialists of data analytics, marketing research, and customer relationship management.

Mastering Marketing: strategies for success in the digital age

SAGAR SHINDE
Mastering Marketing strategies for success in the digital age Book PDF

Author : SAGAR SHINDE
Publisher : SAGAR SHINDE
Page : 231 pages
File Size : 54,8 Mb
Release : 2023-05-30
Category : Business & Economics
ISBN : 9798396307087

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Mastering Marketing: strategies for success in the digital age by SAGAR SHINDE Pdf

Title: Mastering Marketing: Strategies for Success in the Digital Age Author: Sagar Shinde Description: In the fast-paced and ever-changing world of digital marketing, staying ahead of the competition is essential to achieving success. "Mastering Marketing: Strategies for Success in the Digital Age" is your comprehensive guide to navigating this dynamic landscape and unlocking the full potential of your marketing efforts. Written by renowned marketing expert Sagar Shinde, this book offers a deep dive into the strategies, tactics, and techniques that will empower you to craft compelling campaigns, engage your target audience, and drive tangible results in the digital realm. Whether you're a seasoned marketer or just starting out, this book is your roadmap to mastering the art of marketing in the digital age. Inside, you'll discover: 1. A solid foundation: Lay the groundwork for success by understanding the core principles and fundamentals of marketing in the digital era. Explore the customer journey, market segmentation, and brand positioning to create a strong marketing strategy. 2. Digital channels and platforms: Dive into the vast array of digital channels available to marketers today. Learn how to leverage social media, search engine optimization (SEO), content marketing, email marketing, and more to effectively reach and engage your target audience. 3. Data-driven decision making: Discover the power of analytics and data-driven insights in shaping your marketing strategies. Uncover techniques for gathering and analyzing data, and learn how to make informed decisions to optimize your campaigns and drive better results. 4. Cutting-edge trends and technologies: Stay ahead of the curve by exploring emerging trends and technologies shaping the future of digital marketing. From artificial intelligence (AI) and chatbots to influencer marketing and virtual reality (VR), uncover how to harness these tools to stay relevant and deliver innovative experiences to your audience. 5. Engaging storytelling: Learn the art of storytelling and how it can be used to captivate and connect with your target audience. Discover techniques for crafting compelling narratives and developing content that resonates in the digital landscape. With practical examples, real-world case studies, and actionable insights, "Mastering Marketing" equips you with the knowledge and skills needed to excel in the digital age. Whether you're a business owner, marketing professional, or aspiring marketer, this book will empower you to take your marketing strategies to new heights and drive success in the ever-evolving digital landscape. Get ready to unlock your full marketing potential and become a master in the art of marketing in the digital age with "Mastering Marketing: Strategies for Success in the Digital Age" by Sagar Shinde.

Mastering Java for Data Science

Alexey Grigorev
Mastering Java for Data Science Book PDF

Author : Alexey Grigorev
Publisher : Packt Publishing Ltd
Page : 355 pages
File Size : 54,7 Mb
Release : 2017-04-27
Category : Computers
ISBN : 9781785887390

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Mastering Java for Data Science by Alexey Grigorev Pdf

Use Java to create a diverse range of Data Science applications and bring Data Science into production About This Book An overview of modern Data Science and Machine Learning libraries available in Java Coverage of a broad set of topics, going from the basics of Machine Learning to Deep Learning and Big Data frameworks. Easy-to-follow illustrations and the running example of building a search engine. Who This Book Is For This book is intended for software engineers who are comfortable with developing Java applications and are familiar with the basic concepts of data science. Additionally, it will also be useful for data scientists who do not yet know Java but want or need to learn it. If you are willing to build efficient data science applications and bring them in the enterprise environment without changing the existing stack, this book is for you! What You Will Learn Get a solid understanding of the data processing toolbox available in Java Explore the data science ecosystem available in Java Find out how to approach different machine learning problems with Java Process unstructured information such as natural language text or images Create your own search engine Get state-of-the-art performance with XGBoost Learn how to build deep neural networks with DeepLearning4j Build applications that scale and process large amounts of data Deploy data science models to production and evaluate their performance In Detail Java is the most popular programming language, according to the TIOBE index, and it is a typical choice for running production systems in many companies, both in the startup world and among large enterprises. Not surprisingly, it is also a common choice for creating data science applications: it is fast and has a great set of data processing tools, both built-in and external. What is more, choosing Java for data science allows you to easily integrate solutions with existing software, and bring data science into production with less effort. This book will teach you how to create data science applications with Java. First, we will revise the most important things when starting a data science application, and then brush up the basics of Java and machine learning before diving into more advanced topics. We start by going over the existing libraries for data processing and libraries with machine learning algorithms. After that, we cover topics such as classification and regression, dimensionality reduction and clustering, information retrieval and natural language processing, and deep learning and big data. Finally, we finish the book by talking about the ways to deploy the model and evaluate it in production settings. Style and approach This is a practical guide where all the important concepts such as classification, regression, and dimensionality reduction are explained with the help of examples.

Digital Analytics for Marketing

A. Karim Feroz,Gohar F. Khan,Marshall Sponder
Digital Analytics for Marketing Book PDF

Author : A. Karim Feroz,Gohar F. Khan,Marshall Sponder
Publisher : Taylor & Francis
Page : 310 pages
File Size : 51,6 Mb
Release : 2024-01-25
Category : Business & Economics
ISBN : 9781003821786

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Digital Analytics for Marketing by A. Karim Feroz,Gohar F. Khan,Marshall Sponder Pdf

This second edition of Digital Analytics for Marketing provides students with a comprehensive overview of the tools needed to measure digital activity and implement best practices when using data to inform marketing strategy. It is the first text of its kind to introduce students to analytics platforms from a practical marketing perspective. Demonstrating how to integrate large amounts of data from web, digital, social, and search platforms, this helpful guide offers actionable insights into data analysis, explaining how to "connect the dots" and "humanize" information to make effective marketing decisions. The authors cover timely topics, such as social media, web analytics, marketing analytics challenges, and dashboards, helping students to make sense of business measurement challenges, extract insights, and take effective actions. The book’s experiential approach, combined with chapter objectives, summaries, and review questions, will engage readers, deepening their learning by helping them to think outside the box. Filled with engaging, interactive exercises and interesting insights from industry experts, this book will appeal to undergraduate and postgraduate students of digital marketing, online marketing, and analytics. Online support materials for this book include an instructor’s manual, test bank, and PowerPoint slides.

Data Science for Business 2019 (2 BOOKS In 1)

Matt Henderson,Riley Adams
Data Science for Business 2019 2 BOOKS In 1 Book PDF

Author : Matt Henderson,Riley Adams
Publisher : Unknown
Page : 288 pages
File Size : 49,7 Mb
Release : 2019-04-07
Category : Electronic
ISBN : 1092986545

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Data Science for Business 2019 (2 BOOKS In 1) by Matt Henderson,Riley Adams Pdf

★☆★ This book includes 2 Manuscripts: Data Analytics for Businesses 2019 + Machine Learning for Beginners 2019.★☆★ Are you looking for new ways to grow your business, with resources you already have? Do you want to know how the big players like Netflix, Amazon, or Shopify use data analytics to MULTIPLY their growth? Keep listening to learn how to use data analytics to maximize YOUR business. Yes, you have customers that love your product. However, you're having trouble finding new customers and captivating their attention. You realized you're also losing customers, and you have no clue what you can do to prevent this from happening. How do I stand out in a crowd of businesses? How do I target my perfect client and make them choose ME? If this sounds like you, Data Analytics for Businesses if the guide you need. This book will walk you through the fundamental principles of data science and how to apply the "data-analytic mindset" when approaching your business. You will learn how to extract valuable insights from data sources you ALREADY HAVE, and make informed business decisions to help you achieve your goals. With real-world examples of how to apply data analytics to your business, this book does what others fail to do. Break the process down step by step, so you can optimize unique parts of your business; such as improving customer loyalty or reducing churn. This guide also helps you understand the many data-mining techniques in use today. Discover the value of applied data science for business decision-making. You'll learn how to think data-analytically and make connections between data sources to unveil insights you've never imagined. In this book you will learn: Why every company should be leveraging Data Analytics The difference between Big Data, Data Science and Data Analytics How to achieve your goals by applying data-analytical thinking to your business The recommended data mining techniques for each of your business goals The most important thing to remember when extracting knowledge from your data How to use data analytics to improve brand loyalty and customer experience How to hire the best data scientist, and more. If you are overwhelmed by this whole new topic of data analytics, don't be. This guide is designed for beginners, with all the guidance you need to understand the fundamentals of harnessing data analytics for your business. So even if you have never heard about data analytics until today, I promise we will walk through this step-by-step. By the end of this, you'll be able to think analytically and make informed business decisions. This book illustrates how EASY it is to find success by just applying a few principles. So stop reading this description, and start reading Data Analytics for Businesses instead. Scroll up, and CLICK BUY now!

Data Science for Business 2019 (2 BOOKS IN 1)

Riley Adams,Matt Henderson
Data Science for Business 2019 2 BOOKS IN 1 Book PDF

Author : Riley Adams,Matt Henderson
Publisher : This Is Charlotte.
Page : 268 pages
File Size : 45,8 Mb
Release : 2019-05-12
Category : Computers
ISBN : 1989632106

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Data Science for Business 2019 (2 BOOKS IN 1) by Riley Adams,Matt Henderson Pdf

★This book includes 2 Manuscripts★ Are you looking for new ways to grow your business, with resources you already have? Do you want to know how the big players like Netflix, Amazon, or Shopify use data analytics to MULTIPLY their growth? Keep listening to learn how to use data analytics to maximize YOUR business.

Mastering Market Analytics

Robert Kozielski
Mastering Market Analytics Book PDF

Author : Robert Kozielski
Publisher : Emerald Group Publishing
Page : 448 pages
File Size : 42,9 Mb
Release : 2017-11-24
Category : Business & Economics
ISBN : 9781787432697

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Mastering Market Analytics by Robert Kozielski Pdf

In Mastering Market Analytics, Robert Kozielski presents different measurement systems and marketing activities, along with common mistakes made by organizations and managers in the process of building measurement, and illustrates how to avoid these mistakes.

Predictive Marketing

Omer Artun,Dominique Levin
Predictive Marketing Book PDF

Author : Omer Artun,Dominique Levin
Publisher : John Wiley & Sons
Page : 272 pages
File Size : 41,9 Mb
Release : 2015-08-06
Category : Business & Economics
ISBN : 9781119037323

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Predictive Marketing by Omer Artun,Dominique Levin Pdf

Make personalized marketing a reality with this practical guideto predictive analytics Predictive Marketing is a predictive analytics primer fororganizations large and small, offering practical tips andactionable strategies for implementing more personalized marketingimmediately. The marketing paradigm is changing, and this bookprovides a blueprint for navigating the transition from creative-to data-driven marketing, from one-size-fits-all to one-on-one, andfrom marketing campaigns to real-time customer experiences. You'lllearn how to use machine-learning technologies to improve customeracquisition and customer growth, and how to identify and re-engageat-risk or lapsed customers by implementing an easy, automatedapproach to predictive analytics. Much more than just theory andtestament to the power of personalized marketing, this book focuseson action, helping you understand and actually begin using thisrevolutionary approach to the customer experience. Predictive analytics can finally make personalized marketing areality. For the first time, predictive marketing is accessible toall marketers, not just those at large corporations — infact, many smaller organizations are leapfrogging their largercounterparts with innovative programs. This book shows you how tobring predictive analytics to your organization, with actionableguidance that get you started today. Implement predictive marketing at any size organization Deliver a more personalized marketing experience Automate predictive analytics with machine learningtechnology Base marketing decisions on concrete data rather than unprovenideas Marketers have long been talking about delivering personalizedexperiences across channels. All marketers want to deliverhappiness, but most still employ a one-size-fits-all approach.Predictive Marketing provides the information and insightyou need to lift your organization out of the campaign rut and intothe rarefied atmosphere of a truly personalized customerexperience.