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Mastering Marketing Data Science


Mastering Marketing Data Science
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Mastering Marketing Data Science


Mastering Marketing Data Science
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Author : Iain Brown
language : en
Publisher: John Wiley & Sons
Release Date : 2024-04-29

Mastering Marketing Data Science written by Iain Brown and has been published by John Wiley & Sons this book supported file pdf, txt, epub, kindle and other format this book has been release on 2024-04-29 with Computers categories.


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


Creating Value With Data Analytics In Marketing
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Author : Peter C. Verhoef
language : en
Publisher: Routledge
Release Date : 2021-11-07

Creating Value With Data Analytics In Marketing written by Peter C. Verhoef and has been published by Routledge this book supported file pdf, txt, epub, kindle and other format this book has been release on 2021-11-07 with Business & Economics categories.


This book is a refreshingly practical yet theoretically sound roadmap to leveraging data analytics and data science. The vast amount of data generated about us and our world is useless without plans and strategies that are designed to cope with its size and complexity, and which enable organizations to leverage the information to create value in marketing. Creating Value with Data Analytics in Marketing provides a nuanced view of big data developments and data science, arguing that big data 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. The second edition of this bestselling text has been fully updated in line with developments in the field and includes a selection of new, international cases and examples, exercises, techniques and methodologies. Tying data and analytics to specific goals and processes for implementation makes this essential reading for advanced undergraduate and postgraduate students and specialists of data analytics, marketing research, marketing management and customer relationship management. Online resources include chapter-by-chapter lecture slides and data sets and corresponding R code for selected chapters.



Hands On Data Science For Marketing


Hands On Data Science For Marketing
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Author : Yoon Hyup Hwang
language : en
Publisher:
Release Date : 2019-03-29

Hands On Data Science For Marketing written by Yoon Hyup Hwang and has been published by this book supported file pdf, txt, epub, kindle and other format this book has been release on 2019-03-29 with Computers categories.


Optimize your marketing strategies through analytics and machine learning Key Features Understand how data science drives successful marketing campaigns Use machine learning for better customer engagement, retention, and product recommendations Extract insights from your data to optimize marketing strategies and increase profitability Book Description Regardless of company size, the adoption of data science and machine learning for marketing has been rising in the industry. With this book, you will learn to implement data science techniques to understand the drivers behind the successes and failures of marketing campaigns. This book is a comprehensive guide to help you understand and predict customer behaviors and create more effectively targeted and personalized marketing strategies. This is a practical guide to performing simple-to-advanced tasks, to extract hidden insights from the data and use them to make smart business decisions. You will understand what drives sales and increases customer engagements for your products. You will learn to implement machine learning to forecast which customers are more likely to engage with the products and have high lifetime value. This book will also show you how to use machine learning techniques to understand different customer segments and recommend the right products for each customer. Apart from learning to gain insights into consumer behavior using exploratory analysis, you will also learn the concept of A/B testing and implement it using Python and R. By the end of this book, you will be experienced enough with various data science and machine learning techniques to run and manage successful marketing campaigns for your business. What you will learn Learn how to compute and visualize marketing KPIs in Python and R Master what drives successful marketing campaigns with data science Use machine learning to predict customer engagement and lifetime value Make product recommendations that customers are most likely to buy Learn how to use A/B testing for better marketing decision making Implement machine learning to understand different customer segments Who this book is for If you are a marketing professional, data scientist, engineer, or a student keen to learn how to apply data science to marketing, this book is what you need! It will be beneficial to have some basic knowledge of either Python or R to work through the examples. This book will also be beneficial for beginners as it covers basic-to-advanced data science concepts and applications in marketing with real-life examples.



Data Science For Marketing Analytics


Data Science For Marketing Analytics
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Author : Tommy Blanchard
language : en
Publisher: Packt Publishing Ltd
Release Date : 2019-03-30

Data Science For Marketing Analytics written by Tommy Blanchard and has been published by Packt Publishing Ltd this book supported file pdf, txt, epub, kindle and other format this book has been release on 2019-03-30 with Computers categories.


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.



Creating Value With Big Data Analytics


Creating Value With Big Data Analytics
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Author : Peter C. Verhoef
language : en
Publisher: Routledge
Release Date : 2016-01-08

Creating Value With Big Data Analytics written by Peter C. Verhoef and has been published by Routledge this book supported file pdf, txt, epub, kindle and other format this book has been release on 2016-01-08 with Business & Economics categories.


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 Search Analytics


Mastering Search Analytics
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Author : Brent Chaters
language : en
Publisher: "O'Reilly Media, Inc."
Release Date : 2011-10-07

Mastering Search Analytics written by Brent Chaters and has been published by "O'Reilly Media, Inc." this book supported file pdf, txt, epub, kindle and other format this book has been release on 2011-10-07 with Computers categories.


Many companies still approach Search Engine Optimization (SEO) and paid search as separate initiatives. This in-depth guide shows you how to use these programs as part of a comprehensive strategy—not just to improve your site’s search rankings, but to attract the right people and increase your conversion rate. Learn how to measure, test, analyze, and interpret all of your search data with a wide array of analytic tools. Gain the knowledge you need to determine the strategy’s return on investment. Ideal for search specialists, webmasters, and search marketing managers, Mastering Search Analytics shows you how to gain better traffic and more revenue through your search efforts. Focus on conversion and usability—not on driving larger volumes of traffic Track the performance of your SEO and paid search keywords Apply techniques to monitor what your competitors are doing Understand the differences between mobile and desktop search Learn how social media impacts your search rankings and results Audit your site for problems that can affect users and search spiders Create dashboards and expanded reports for all of your search activities



Consumer Behaviour And Analytics


Consumer Behaviour And Analytics
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Author : Andrew Smith
language : en
Publisher: Taylor & Francis
Release Date : 2023-11-08

Consumer Behaviour And Analytics written by Andrew Smith and has been published by Taylor & Francis this book supported file pdf, txt, epub, kindle and other format this book has been release on 2023-11-08 with Business & Economics categories.


The second edition of Consumer Behaviour and Analytics provides a consumer behaviour textbook for the new marketing reality. In a world of Big Data, machine learning and artificial intelligence, this key text reviews the issues, research and concepts essential for navigating this new terrain. It demonstrates how we can use data-driven insight and merge this with insight from extant research to inform knowledge-driven decision-making. Adopting a practical and managerial lens, while also exploring the rich lineage of academic consumer research, this textbook approaches its subject from a refreshing and original standpoint. It contains numerous accessible examples, scenarios and exhibits, and condenses the disparate array of relevant work into a workable, coherent, synthesized and readable whole. Providing an effective tour of the concepts and ideas most relevant in the age of analytics-driven marketing (from data visualization to semiotics), the book concludes with an adaptive structure to inform managerial decision-making. Consumer Behaviour and Analytics provides a unique distillation from a vast array of social and behavioural research merged with the knowledge potential of digital insight. It offers an effective and efficient summary for undergraduate, postgraduate or executive courses in consumer behaviour and marketing analytics, and also functions as a supplementary text for other marketing modules. Online resources include PowerPoint slides.



Mastering Noon Nopi


Mastering Noon Nopi
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Author : 장대련(DEA RYUN CHANG)
language : ko
Publisher: Yonsei University Press
Release Date : 2015-09-07

Mastering Noon Nopi written by 장대련(DEA RYUN CHANG) and has been published by Yonsei University Press this book supported file pdf, txt, epub, kindle and other format this book has been release on 2015-09-07 with Social Science categories.


눈높이 연마하기: 아시아 마케팅의 접근을 위한 예술과 과학 세계에서 가장 높은 성장률을 자랑하는 아시아에서 마케팅은 과연 어떻게 접근해야 하는 것인가? 본 저서, [눈높이 연마하기]는 바로 그 과제에 대한 해법을 제공한다. [눈높이]는 한국말로 단순히 사람이 바라보는 수준으로 이해가 되지만 본 저서에서는 이 보다 더 넓은 의미로 마케팅의 본질을 뜻한다. 즉 본 저서는 기업이 소비자들의 관점을 이해하면 시장을 더 쉽게 헤아릴 수 있다는 철학을 담고 있다. 저자는 [눈높이 연마하기]를 통하여 근 30년간 마케팅 강의, 연구, 기업 자문 활동으로 터득한 경험과 인사이트를 독자들과 공유 한다. 저자는 한국 외에 필란드, 호주, 홍콩, 싱가포르 등에서 강의를 하였을 뿐만 아니라 어렸을 때 외교관 자녀로써 여러 국가에서 성장하였다. 이 같은 종합적 경험으로 저자는 다양한 환경에서 [눈높이]를 맞출 수 있는 글로벌한 안목을 키웠다. 본 저서는 딱딱한 이론에만 치우쳐져 있지 않고 저자의 풍부한 경험담과 마케팅 일화를 담고 있다. [눈높이 연마하기]는 마케팅 실무는 물론 개인 브랜딩을 하려는 독자에게도 유익한 지침서가 될 수 있다. 또한 보너스로 저자가 지난 5년간 수시로 기고한 Harvard Business Review Online 경영논평과 아시아 마케팅 관련 주요 논문과 사례가 포함되어 있다. 본서를 토대로 저자는 세계 제일 큰 공개인터넷강의(MOOC) 사이트인 코세라(coursera.org)에 “International Marketing in Asia”라는 강의를 개설하였고 170여 개의 국가에서 본 강의가 수강되고 있다. PART I WHAT IS MARKETING PART II MARKETING STRATEGY PART III CUSTOMER CATEGORIES in Asian Marketing PART IV MARKET SELECTION PART V MARKET SELECTION PART VI / APPENDIX HBR BLOGS & READINGS Mastering Noon Nopi: The Art & Science of Marketing in Asia How does one approach Marketing in Asia, the fastest growing economic region in the world? That is the key question that is answered in “Mastering Noon Nopi: The Art & Science of Marketing in Asia.” Noon Nopi, a word from Korean, means “Eye Level” but the author uses it more broadly to signify the essence of Marketing. The Noon Nopi concept is used throughout the book to convey how companies need to understand their markets through the lenses of consumers. The author brings nearly 30 years of teaching, research and consulting experience and insight about Marketing into the book. He has taught Marketing in Korea, Finland, Australia, Hong Kong and Singapore. He was also raised as a child of diplomats and lived in many countries. The combined experience therefore allows the author to have a unique global perspective of how the “Eye Level” matching can be achieved. The author offers rich personal accounts and anecdotes to illustrate how one’s ability to fine tune his or her “Noon Nopi” can be an asset not just in business but also in life such as in individual branding. Even though the book is focused on Asia, many of the analytical tools offered in “Noon Nopi” can be applied to marketing problems anywhere. As an added bonus, the book includes the author’s many Harvard Business Review Online opinion pieces as well as a key article and case on Asian Marketing. The author has now launched a MOOC (Massive Open Online Course) called “International Marketing in Asia” based on this book on the world’s largest platform Coursera and has learners from over 170 countries.



Marketing Strategy


Marketing Strategy
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Author : Mark E. Hill
language : en
Publisher: SAGE
Release Date : 2012-04-27

Marketing Strategy written by Mark E. Hill and has been published by SAGE this book supported file pdf, txt, epub, kindle and other format this book has been release on 2012-04-27 with Business & Economics categories.


Marketing Strategy: The Thinking Involved.