Data Analytics For Marketing
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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.
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
Data Analytics In Marketing Entrepreneurship And Innovation
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Author : Mounir Kehal
language : en
Publisher: CRC Press
Release Date : 2021-01-12
Data Analytics In Marketing Entrepreneurship And Innovation written by Mounir Kehal and has been published by CRC Press this book supported file pdf, txt, epub, kindle and other format this book has been release on 2021-01-12 with Business & Economics categories.
Innovation based in data analytics is a contemporary approach to developing empirically supported advances that encourage entrepreneurial activity inspired by novel marketing inferences. Data Analytics in Marketing, Entrepreneurship, and Innovation covers techniques, processes, models, tools, and practices for creating business opportunities through data analytics. It features case studies that provide realistic examples of applications. This multifaceted examination of data analytics looks at: Business analytics Applying predictive analytics Using discrete choice analysis for decision-making Marketing and customer analytics Developing new products Technopreneurship Disruptive versus incremental innovation The book gives researchers and practitioners insight into how data analytics is used in the areas of innovation, entrepreneurship, and marketing. Innovation analytics helps identify opportunities to develop new products and services, and improve existing methods of product manufacturing and service delivery. Entrepreneurial analytics facilitates the transformation of innovative ideas into strategy and helps entrepreneurs make critical decisions based on data-driven techniques. Marketing analytics is used in collecting, managing, assessing, and analyzing marketing data to predict trends, investigate customer preferences, and launch campaigns.
Digital Analytics For Marketing
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Author : A. Karim Feroz
language : en
Publisher: Taylor & Francis
Release Date : 2024-01-25
Digital Analytics For Marketing written by A. Karim Feroz and has been published by Taylor & Francis this book supported file pdf, txt, epub, kindle and other format this book has been release on 2024-01-25 with Business & Economics categories.
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.
Marketing Analytics
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Author : Mike Grigsby
language : en
Publisher: Kogan Page Publishers
Release Date : 2018-04-03
Marketing Analytics written by Mike Grigsby and has been published by Kogan Page Publishers this book supported file pdf, txt, epub, kindle and other format this book has been release on 2018-04-03 with Business & Economics categories.
Who is most likely to buy and what is the best way to target them? How can businesses improve strategy without identifying the key influencing factors? The second edition of Marketing Analytics enables marketers and business analysts to leverage predictive techniques to measure and improve marketing performance. By exploring real-world marketing challenges, it provides clear, jargon-free explanations on how to apply different analytical models for each purpose. From targeted list creation and data segmentation, to testing campaign effectiveness, pricing structures and forecasting demand, this book offers a welcome handbook on how statistics, consumer analytics and modelling can be put to optimal use. The fully revised second edition of Marketing Analytics includes three new chapters on big data analytics, insights and panel regression, including how to collect, separate and analyze big data. All of the advanced tools and techniques for predictive analytics have been updated, translating models such as tobit analysis for customer lifetime value into everyday use. Whether an experienced practitioner or having no prior knowledge, methodologies are simplified to ensure the more complex aspects of data and analytics are fully accessible for any level of application. Complete with downloadable data sets and test bank resources, this book supplies a concrete foundation to optimize marketing analytics for day-to-day business advantage.
Marketing Analytics
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Author : Rajkumar Venkatesan
language : en
Publisher: University of Virginia Press
Release Date : 2021-01-13
Marketing Analytics written by Rajkumar Venkatesan and has been published by University of Virginia Press this book supported file pdf, txt, epub, kindle and other format this book has been release on 2021-01-13 with Business & Economics categories.
The authors of the pioneering Cutting-Edge Marketing Analytics return to the vital conversation of leveraging big data with Marketing Analytics: Essential Tools for Data-Driven Decisions, which updates and expands on the earlier book as we enter the 2020s. As they illustrate, big data analytics is the engine that drives marketing, providing a forward-looking, predictive perspective for marketing decision-making. The book presents actual cases and data, giving readers invaluable real-world instruction. The cases show how to identify relevant data, choose the best analytics technique, and investigate the link between marketing plans and customer behavior. These actual scenarios shed light on the most pressing marketing questions, such as setting the optimal price for one’s product or designing effective digital marketing campaigns. Big data is currently the most powerful resource to the marketing professional, and this book illustrates how to fully harness that power to effectively maximize marketing efforts.
Big Data Analytics
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Author : Kiran Chaudhary
language : en
Publisher: CRC Press
Release Date : 2022-01-19
Big Data Analytics written by Kiran Chaudhary and has been published by CRC Press this book supported file pdf, txt, epub, kindle and other format this book has been release on 2022-01-19 with Computers categories.
Big Data Analytics: Applications in Business and Marketing explores the concepts and applications related to marketing and business as well as future research directions. It also examines how this emerging field could be extended to performance management and decision-making. Investment in business and marketing analytics can create value through proper allocation of resources and resource orchestration process. The use of data analytics tools can be used to diagnose and improve performance. The book is divided into five parts. The first part introduces data science, big data, and data analytics. The second part focuses on applications of business analytics including: Big data analytics and algorithm Market basket analysis Anticipating consumer purchase behavior Variation in shopping patterns Big data analytics for market intelligence The third part looks at business intelligence and features an evaluation study of churn prediction models for business Intelligence. The fourth part of the book examines analytics for marketing decision-making and the roles of big data analytics for market intelligence and of consumer behavior. The book concludes with digital marketing, marketing by consumer analytics, web analytics for digital marketing, and smart retailing. This book covers the concepts, applications and research trends of marketing and business analytics with the aim of helping organizations increase profitability by improving decision-making through data analytics.
Marketing Analytics
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Author : Mike Grigsby
language : en
Publisher: Kogan Page Publishers
Release Date : 2015-06-03
Marketing Analytics written by Mike Grigsby and has been published by Kogan Page Publishers this book supported file pdf, txt, epub, kindle and other format this book has been release on 2015-06-03 with Business & Economics categories.
Who is most likely to buy and what is the best way to target them? Marketing Analytics enables marketers and business analysts to answer these questions by leveraging proven methodologies to measure and improve upon the effectiveness of marketing programs. Marketing Analytics demonstrates how statistics, analytics and modeling can be put to optimal use to increase the effectiveness of every day marketing activities, from targeted list creation and data segmentation to testing campaign effectiveness and forecasting demand. The author explores many common marketing challenges and demonstrates how to apply different data models to arrive at viable solutions. Business cases and critical analysis are included to illustrate and reinforce key concepts throughout. Beginners will benefit from clear, jargon-free explanations of methodologies relating to statistics, marketing strategy and consumer behaviour. More experienced practitioners will appreciate the more complex aspects of data analytics and data modeling, discovering new applications of various techniques in every day practice. Readers of Marketing Analytics will come away with a firm foundation in markets analytics and the tools they need to gain competitive edge and increase market share. Online supporting resources for this book include a bank of test questions as well as data sets relating to many of the chapters.
Data Analytics For Marketing
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Author : Brenda Dennis
language : en
Publisher: Independently Published
Release Date : 2023-06-21
Data Analytics For Marketing written by Brenda Dennis and has been published by Independently Published this book supported file pdf, txt, epub, kindle and other format this book has been release on 2023-06-21 with categories.
Are you tired of guesswork in your marketing campaigns? Do you want to unlock the true potential of your customer data? Look no further! "Data Analytics for Marketing: Leveraging Customer Insights for Success" is the ultimate guide that will revolutionize the way you approach marketing. In this data-driven era, traditional marketing methods fall short. To stay ahead of the competition, you need to harness the power of customer insights and make data-backed decisions. This book takes you on an immersive journey through the world of data analytics, empowering you to transform your marketing strategy and achieve unparalleled success. Discover the secrets of collecting and managing relevant data, ensuring its quality, and navigating the ethical considerations surrounding data privacy. Dive deep into exploratory data analysis, uncovering hidden patterns and trends that will give you a competitive edge. Learn how to effectively segment your audience and tailor your campaigns to meet their unique needs, leading to higher engagement and conversion rates. But that's not all! "Data Analytics for Marketing" equips you with the tools to predict customer behavior and calculate customer lifetime value, enabling you to optimize your marketing budget and maximize ROI. Unlock the power of personalization and recommendation engines, delivering tailor-made experiences that captivate and retain your customers. Social media analytics, A/B testing, marketing attribution, and ROI analysis are all demystified within these pages, providing you with the expertise to measure the impact of your marketing efforts accurately. And with the art of data visualization and storytelling, you'll be able to captivate your stakeholders and present your insights with clarity and impact. Written by an expert in the field, this comprehensive guide is filled with practical examples, case studies, and recommended tools and technologies. Whether you're a seasoned marketer, data analyst, or business professional, "Data Analytics for Marketing" will revolutionize the way you approach marketing, empowering you to make informed decisions, increase customer satisfaction, and drive phenomenal results. Don't let your marketing efforts rely on guesswork any longer. Embrace the power of data analytics and propel your marketing strategy to new heights. Grab your copy of "Data Analytics for Marketing: Leveraging Customer Insights for Success" today and unlock the key to marketing success!
Digital Analytics For Marketing
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Author : Gohar F. Khan
language : en
Publisher: Routledge
Release Date : 2017-10-05
Digital Analytics For Marketing written by Gohar F. Khan and has been published by Routledge this book supported file pdf, txt, epub, kindle and other format this book has been release on 2017-10-05 with Business & Economics categories.
This comprehensive book provides students with a "grand tour" of the tools needed to measure digital activity and implement best practices for 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 author covers 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 learning by helping them to think outside the box. Filled with engaging, interactive exercises, and interesting insights from an industry expert, this book will appeal to students of digital marketing, online marketing, and analytics. A companion website features an instructor’s manual, test bank, and PowerPoint slides.
Data Analytics For Business
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Author : Ira J. Haimowitz
language : en
Publisher: Taylor & Francis
Release Date : 2022-12-20
Data Analytics For Business written by Ira J. Haimowitz and has been published by Taylor & Francis this book supported file pdf, txt, epub, kindle and other format this book has been release on 2022-12-20 with Business & Economics categories.
Interest in applying analytics, machine learning, and artificial intelligence to sales and marketing has grown dramatically, with no signs of slowing down. This book provides essential guidance to apply advanced analytics and data mining techniques to real-world business applications. The foundation of this text is the author’s 20-plus years of developing and delivering big data and artificial intelligence solutions across multiple industries: financial services, pharmaceuticals, consumer packaged goods, media, and retail. He provides guidelines and summarized cases for those studying or working in the fields of data science, data engineering, and business analytics. The book also offers a distinctive style: a series of essays, each of which summarizes a critical lesson or provides a step-by-step business process, with specific examples of successes and failures. Sales and marketing executives, project managers, business and engineering professionals, and graduate students will find this clear and comprehensive book the ideal companion when navigating the complex world of big data analytics.