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| data-driven marketing statistics: Data-Driven Marketing Mark Jeffery, 2010-02-08 NAMED BEST MARKETING BOOK OF 2011 BY THE AMERICAN MARKETING ASSOCIATION How organizations can deliver significant performance gains through strategic investment in marketing In the new era of tight marketing budgets, no organization can continue to spend on marketing without knowing what's working and what's wasted. Data-driven marketing improves efficiency and effectiveness of marketing expenditures across the spectrum of marketing activities from branding and awareness, trail and loyalty, to new product launch and Internet marketing. Based on new research from the Kellogg School of Management, this book is a clear and convincing guide to using a more rigorous, data-driven strategic approach to deliver significant performance gains from your marketing. Explains how to use data-driven marketing to deliver return on marketing investment (ROMI) in any organization In-depth discussion of the fifteen key metrics every marketer should know Based on original research from America's leading marketing business school, complemented by experience teaching ROMI to executives at Microsoft, DuPont, Nisan, Philips, Sony and many other firms Uses data from a rigorous survey on strategic marketing performance management of 252 Fortune 1000 firms, capturing $53 billion of annual marketing spending In-depth examples of how to apply the principles in small and large organizations Free downloadable ROMI templates for all examples given in the book With every department under the microscope looking for results, those who properly use data to optimize their marketing are going to come out on top every time. |
| data-driven marketing statistics: Data Driven Marketing For Dummies David Semmelroth, 2013-10-07 Embrace data and use it to sell and market your products Data is everywhere and it keeps growing and accumulating. Companies need to embrace big data and make it work harder to help them sell and market their products. Successful data analysis can help marketing professionals spot sales trends, develop smarter marketing campaigns, and accurately predict customer loyalty. Data Driven Marketing For Dummies helps companies use all the data at their disposal to make current customers more satisfied, reach new customers, and sell to their most important customer segments more efficiently. Identifying the common characteristics of customers who buy the same products from your company (or who might be likely to leave you) Tips on using data to predict customer purchasing behavior based on past performance Using customer data and marketing analytics to predict when customers will purchase certain items Information on how data collected can help with merchandise planning Breaking down customers into segments for easier market targeting Building a 360 degree view of a customer base Data Driven Marketing For Dummies assists marketing professionals at all levels of business in accelerating sales through analytical insights. |
| data-driven marketing statistics: Marketing Analytics Wayne L. Winston, 2014-01-08 Helping tech-savvy marketers and data analysts solve real-world business problems with Excel Using data-driven business analytics to understand customers and improve results is a great idea in theory, but in today's busy offices, marketers and analysts need simple, low-cost ways to process and make the most of all that data. This expert book offers the perfect solution. Written by data analysis expert Wayne L. Winston, this practical resource shows you how to tap a simple and cost-effective tool, Microsoft Excel, to solve specific business problems using powerful analytic techniques—and achieve optimum results. Practical exercises in each chapter help you apply and reinforce techniques as you learn. Shows you how to perform sophisticated business analyses using the cost-effective and widely available Microsoft Excel instead of expensive, proprietary analytical tools Reveals how to target and retain profitable customers and avoid high-risk customers Helps you forecast sales and improve response rates for marketing campaigns Explores how to optimize price points for products and services, optimize store layouts, and improve online advertising Covers social media, viral marketing, and how to exploit both effectively Improve your marketing results with Microsoft Excel and the invaluable techniques and ideas in Marketing Analytics: Data-Driven Techniques with Microsoft Excel. |
| data-driven marketing statistics: Big Data and AI Driven Marketing Analytics Jeen Su Lim, John Heinrichs, Kee Sook Lim, 2020-04-10 |
| data-driven marketing statistics: Advanced Digital Marketing Strategies in a Data-Driven Era Saura, Jose Ramon, 2021-06-25 In the last decade, the use of data sciences in the digital marketing environment has increased. Digital marketing has transformed how companies communicate with their customers around the world. The increase in the use of social networks and how users communicate with companies on the internet has given rise to new business models based on the bidirectionality of communication between companies and internet users. Digital marketing, new business models, data-driven approaches, online advertising campaigns, and other digital strategies have gathered user opinions and comments through this new online channel. In this way, companies are beginning to see the digital ecosystem as not only the present but also the future. However, despite these advances, relevant evidence on the measures to improve the management of data sciences in digital marketing remains scarce. Advanced Digital Marketing Strategies in a Data-Driven Era contains high-quality research that presents a holistic overview of the main applications of data sciences to digital marketing and generates insights related to the creation of innovative data mining and knowledge discovery techniques applied to traditional and digital marketing strategies. The book analyzes how companies are adopting these new data-driven methods and how these strategies influence digital marketing. Discussing topics such as digital strategies, social media marketing, big data, marketing analytics, and data sciences, this book is essential for marketers, digital marketers, advertisers, brand managers, managers, executives, social media analysts, IT specialists, data scientists, students, researchers, and academicians in the field. |
| data-driven marketing statistics: Statistics Made Simple for School Leaders Susan Rovezzi Carroll, David J. Carroll, 2002-10-16 The chief executive officer of a corporation is not much different from a public school administrator. While CEOs base many of their decisions on data, for school administrators, this type of research may conjure up miserable memories of searching for information to meet a graduate school requirement. However, the value of data-based decision making will continue to escalate and the school community—students, teachers, parents and the general public—expect this information to come from their administrators. Administrators are called on to be accountable, but few are capable of presenting the mountain of data that they collect in a cohesive and strategic manner. Most statistical books are focused on statistical theory versus application, but Statistics Made Simple for School Leaders presents statistics in a simple, practical, conceptual, and immediately applicable manner. It enables administrators to take their data and manage it into strategic information so the results can be used for action plans that benefit the school system. The approach is 'user friendly' and leaves the reader with a confident can-do attitude to communicate results and plans to staff and the community. |
| data-driven marketing statistics: Data Driven Marketing For Dummies David Semmelroth, 2013-09-20 Embrace data and use it to sell and market your products Data is everywhere and it keeps growing and accumulating. Companies need to embrace big data and make it work harder to help them sell and market their products. Successful data analysis can help marketing professionals spot sales trends, develop smarter marketing campaigns, and accurately predict customer loyalty. Data Driven Marketing For Dummies helps companies use all the data at their disposal to make current customers more satisfied, reach new customers, and sell to their most important customer segments more efficiently. Identifying the common characteristics of customers who buy the same products from your company (or who might be likely to leave you) Tips on using data to predict customer purchasing behavior based on past performance Using customer data and marketing analytics to predict when customers will purchase certain items Information on how data collected can help with merchandise planning Breaking down customers into segments for easier market targeting Building a 360 degree view of a customer base Data Driven Marketing For Dummies assists marketing professionals at all levels of business in accelerating sales through analytical insights. |
| data-driven marketing statistics: Marketing Analytics Mike Grigsby, 2018-04-03 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. |
| data-driven marketing statistics: Programmatic Advertising Oliver Busch, 2015-11-26 This fundamental guide on programmatic advertising explains in detail how automated, data-driven advertising really works in practice and how the right adoption leads to a competitive advantage for advertisers, agencies and media. The new way of planning, steering and measuring marketing may still appear complex and threatening but promising at once to most decision makers. This collaborative compendium combines proven experience and best practice in 22 articles written by 45 renowned experts from all around the globe. Among them Dr. Florian Heinemann/Project-A, Peter Würtenberger/Axel-Springer, Deirdre McGlashan/MediaCom, Dr. Marc Grether/Xaxis, Michael Lamb/MediaMath, Carolin Owen/IPG, Stefan Bardega/Zenith, Arun Kumar/Cadreon, Dr. Ralf Strauss/Marketingverband, Jonathan Becher/SAP and many more great minds. |
| data-driven marketing statistics: Predictive Marketing Omer Artun, Dominique Levin, 2015-08-06 Make personalized marketing a reality with this practical guide to predictive analytics Predictive Marketing is a predictive analytics primer for organizations large and small, offering practical tips and actionable strategies for implementing more personalized marketing immediately. The marketing paradigm is changing, and this book provides a blueprint for navigating the transition from creative- to data-driven marketing, from one-size-fits-all to one-on-one, and from marketing campaigns to real-time customer experiences. You'll learn how to use machine-learning technologies to improve customer acquisition and customer growth, and how to identify and re-engage at-risk or lapsed customers by implementing an easy, automated approach to predictive analytics. Much more than just theory and testament to the power of personalized marketing, this book focuses on action, helping you understand and actually begin using this revolutionary approach to the customer experience. Predictive analytics can finally make personalized marketing a reality. For the first time, predictive marketing is accessible to all marketers, not just those at large corporations — in fact, many smaller organizations are leapfrogging their larger counterparts with innovative programs. This book shows you how to bring predictive analytics to your organization, with actionable guidance that get you started today. Implement predictive marketing at any size organization Deliver a more personalized marketing experience Automate predictive analytics with machine learning technology Base marketing decisions on concrete data rather than unproven ideas Marketers have long been talking about delivering personalized experiences across channels. All marketers want to deliver happiness, but most still employ a one-size-fits-all approach. Predictive Marketing provides the information and insight you need to lift your organization out of the campaign rut and into the rarefied atmosphere of a truly personalized customer experience. |
| data-driven marketing statistics: Predictive Analytics and Generative AI for Data-Driven Marketing Strategies Hemachandran K, Debdutta Choudhury, Raul Villamarin Rodriguez, Jorge A. Wise, Revathi T, 2024-12-10 In providing an in-depth exploration of cutting-edge technologies and how they are used to support data-driven marketing strategies and empower organizations to make the right decisions, Predictive Analytics and Generative AI for Data-Driven Marketing Strategies includes real-world case studies and examples from diverse marketing domains. This book demonstrates how predictive analytics and generative AI have been successfully applied to solve marketing challenges and drive tangible results. This book showcases emerging trends in predictive analytics and generative AI for marketing, and their potential impact on the future of data-driven marketing. This book is meant for professionals and scholars to gather the skills and resources to use predictive analytics and generative AI effectively for marketing strategies. This book: • Examines the different predictive analytics models and algorithms, such as regression analysis, decision trees, and neural networks, and demonstrates how they may be utilized to get insightful conclusions from marketing data. • Includes generative AI techniques, such as generative adversarial networks (GANs) and variational autoencoders (VAEs), showcasing how these techniques can generate synthetic data for marketing insights and decision-making. • Highlights the importance of data-driven marketing choices and illustrates how generative AI and predictive analytics may be quite useful in this context. • Integrates the principles of data science with marketing concepts, offering a cohesive understanding of how predictive analytics and generative AI can power data-driven marketing decisions. • Presents the recent advances in predictive analytics and generative AI and discusses how they can affect the area of data-driven marketing. |
| data-driven marketing statistics: Recommendation Engines Michael Schrage, 2020-09-01 How companies like Amazon, Netflix, and Spotify know what you might also like: the history, technology, business, and societal impact of online recommendation engines. Increasingly, our technologies are giving us better, faster, smarter, and more personal advice than our own families and best friends. Amazon already knows what kind of books and household goods you like and is more than eager to recommend more; YouTube and TikTok always have another video lined up to show you; Netflix has crunched the numbers of your viewing habits to suggest whole genres that you would enjoy. In this volume in the MIT Press's Essential Knowledge series, innovation expert Michael Schrage explains the origins, technologies, business applications, and increasing societal impact of recommendation engines, the systems that allow companies worldwide to know what products, services, and experiences you might also like. |
| data-driven marketing statistics: Creating Value with Big Data Analytics Peter C. Verhoef, Edwin Kooge, Natasha Walk, 2016-01-08 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. |
| data-driven marketing statistics: Market Segmentation Analysis Sara Dolnicar, Bettina Grün, Friedrich Leisch, 2018-07-20 This book is published open access under a CC BY 4.0 license. This open access book offers something for everyone working with market segmentation: practical guidance for users of market segmentation solutions; organisational guidance on implementation issues; guidance for market researchers in charge of collecting suitable data; and guidance for data analysts with respect to the technical and statistical aspects of market segmentation analysis. Even market segmentation experts will find something new, including an approach to exploring data structure and choosing a suitable number of market segments, and a vast array of useful visualisation techniques that make interpretation of market segments and selection of target segments easier. The book talks the reader through every single step, every single potential pitfall, and every single decision that needs to be made to ensure market segmentation analysis is conducted as well as possible. All calculations are accompanied not only with a detailed explanation, but also with R code that allows readers to replicate any aspect of what is being covered in the book using R, the open-source environment for statistical computing and graphics. |
| data-driven marketing statistics: Data Science for Marketing Analytics Mirza Rahim Baig, Gururajan Govindan, Vishwesh Ravi Shrimali, 2021-09-07 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. |
| data-driven marketing statistics: R for Marketing Research and Analytics Chris Chapman, Elea McDonnell Feit, 2015-03-25 This book is a complete introduction to the power of R for marketing research practitioners. The text describes statistical models from a conceptual point of view with a minimal amount of mathematics, presuming only an introductory knowledge of statistics. Hands-on chapters accelerate the learning curve by asking readers to interact with R from the beginning. Core topics include the R language, basic statistics, linear modeling, and data visualization, which is presented throughout as an integral part of analysis. Later chapters cover more advanced topics yet are intended to be approachable for all analysts. These sections examine logistic regression, customer segmentation, hierarchical linear modeling, market basket analysis, structural equation modeling, and conjoint analysis in R. The text uniquely presents Bayesian models with a minimally complex approach, demonstrating and explaining Bayesian methods alongside traditional analyses for analysis of variance, linear models, and metric and choice-based conjoint analysis. With its emphasis on data visualization, model assessment, and development of statistical intuition, this book provides guidance for any analyst looking to develop or improve skills in R for marketing applications. |
| data-driven marketing statistics: Marketing Strategy Robert W. Palmatier, Shrihari Sridhar, 2020-12-31 Marketing Strategy offers a unique and dynamic approach based on four underlying principles that underpin marketing today: All customers differ; All customers change; All competitors react; and All resources are limited. The structured framework of this acclaimed textbook allows marketers to develop effective and flexible strategies to deal with diverse marketing problems under varying circumstances. Uniquely integrating marketing analytics and data driven techniques with fundamental strategic pillars the book exemplifies a contemporary, evidence-based approach. This base toolkit will support students' decision-making processes and equip them for a world driven by big data. The second edition builds on the first's successful core foundation, with additional pedagogy and key updates. Research-based, action-oriented, and authored by world-leading experts, Marketing Strategy is the ideal resource for advanced undergraduate, MBA, and EMBA students of marketing, and executives looking to bring a more systematic approach to corporate marketing strategies. New to this Edition: - Revised and updated throughout to reflect new research and industry developments, including expanded coverage of digital marketing, influencer marketing and social media strategies - Enhanced pedagogy including new Worked Examples of Data Analytics Techniques and unsolved Analytics Driven Case Exercises, to offer students hands-on practice of data manipulation as well as classroom activities to stimulate peer-to-peer discussion - Expanded range of examples to cover over 250 diverse companies from 25 countries and most industry segments - Vibrant visual presentation with a new full colour design |
| data-driven marketing statistics: The Data-Driven Project Manager Mario Vanhoucke, 2018-03-27 Discover solutions to common obstacles faced by project managers. Written as a business novel, the book is highly interactive, allowing readers to participate and consider options at each stage of a project. The book is based on years of experience, both through the author's research projects as well as his teaching lectures at business schools. The book tells the story of Emily Reed and her colleagues who are in charge of the management of a new tennis stadium project. The CEO of the company, Jacob Mitchell, is planning to install a new data-driven project management methodology as a decision support tool for all upcoming projects. He challenges Emily and her team to start a journey in exploring project data to fight against unexpected project obstacles. Data-driven project management is known in the academic literature as “dynamic scheduling” or “integrated project management and control.” It is a project management methodology to plan, monitor, and control projects in progress in order to deliver them on time and within budget to the client. Its main focus is on the integration of three crucial aspects, as follows: Baseline Scheduling: Plan the project activities to create a project timetable with time and budget restrictions. Determine start and finish times of each project activity within the activity network and resource constraints. Know the expected timing of the work to be done as well as an expected impact on the project’s time and budget objectives. Schedule Risk Analysis: Analyze the risk of the baseline schedule and its impact on the project’s time and budget. Use Monte Carlo simulations to assess the risk of the baseline schedule and to forecast the impact of time and budget deviations on the project objectives. Project Control: Measure and analyze the project’s performance data and take actions to bring the project on track. Monitor deviations from the expected project progress and control performance in order to facilitate the decision-making process in case corrective actions are needed to bring projects back on track. Both traditional Earned Value Management (EVM) and the novel Earned Schedule (ES) methods are used. What You'll Learn Implement a data-driven project management methodology (also known as dynamic scheduling) which allows project managers to plan, monitor, and control projects while delivering them on time and within budget Study different project management tools and techniques, such as PERT/CPM, schedule risk analysis (SRA), resource buffering, and earned value management (EVM) Understand the three aspects of dynamic scheduling: baseline scheduling, schedule risk analysis, and project control Who This Book Is For Project managers looking to learn data-driven project management (or dynamic scheduling) via a novel, demonstrating real-time simulations of how project managers can solve common project obstacles |
| data-driven marketing statistics: Big Data Driven Supply Chain Management Nada R. Sanders, 2014-05-07 Master a complete, five-step roadmap for leveraging Big Data and analytics to gain unprecedented competitive advantage from your supply chain. Using Big Data, pioneers such as Amazon, UPS, and Wal-Mart are gaining unprecedented mastery over their supply chains. They are achieving greater visibility into inventory levels, order fulfillment rates, material and product delivery… using predictive data analytics to match supply with demand; leveraging new planning strengths to optimize their sales channel strategies; optimizing supply chain strategy and competitive priorities; even launching powerful new ventures. Despite these opportunities, many supply chain operations are gaining limited or no value from Big Data. In Big Data Driven Supply Chain Management, Nada Sanders presents a systematic five-step framework for using Big Data in supply chains. You'll learn best practices for segmenting and analyzing customers, defining competitive priorities for each segment, aligning functions behind strategy, dissolving organizational boundaries to sense demand and make better decisions, and choose the right metrics to support all of this. Using these techniques, you can overcome the widespread obstacles to making the most of Big Data in your supply chain — and earn big profits from the data you're already generating. For all executives, managers, and analysts interested in using Big Data technologies to improve supply chain performance. |
| data-driven marketing statistics: Data-Driven Public Relations Research Jim Eggensperger, Natalie Redcross, 2018-09-03 The public relations industry is undergoing a revolution in using data to define promotional programs, to measure influence and to address the needs of clients with more precision than ever. Applying tools that range from online surveys to social-media listening to applying big data with sophisticated algorithms, today’s PR professionals are data-driven in virtually everything they do. Data-Driven Public Relations Research is the first book for PR students and practitioners to offer an overview of these new practices as well as a glimpse into the future of these new applications, including big data and some of the applications from real-world PR campaigns and strategic planning. It includes contemporary cases involving brand name companies who are blazing new trails in the use of metrics in public relations. This book presents a practical, accessible approach that requires no prior training or experience, with easy to follow, step-by-step measurement examples from existing campaigns. Using Excel, the book enables readers to export lessons from the classroom to the office, where use of statistical packages is rare and can give PR practitioners the advantage over competitors. This pragmatic approach helps readers apply metrics to PR problems such as: Finding the best target audiences Understanding audience communication needs and preferences How best to present research outcomes How to manage major projects with specialized research firms. Accompanying electronic resources for the book include sample answers to the book’s discussion questions, PowerPoint lecture slides for instructors and sample research exercises using Excel. |
| data-driven marketing statistics: Marketing and Sales Analytics Cesar A. Brea, 2014 Today, an effective marketing analytics executive is even more important than a brilliant data scientist. That's because successful analytics investments now require managerial orchestration of many elements that go far beyond conventional definitions of analytics. Marketing and Sales Analytics examines the experiences of sales and marketing leaders and practitioners who have successfully built high value analytics capabilities in multiple industries. Then, drawing on their experiences, top analytics consultant Cesar Brea introduces overarching frameworks and specific tools that can help you achieve the same levels of success in your own organization. Brea shows how to: Establish the ecosystemic conditions for analytic success Reconcile the diverse perspectives that impact analytics initiatives (Business v. IT, Sales v. Marketing, Analysts v. Creatives v. Managers, and Everyone v. Finance) Decide what success will look like Agree on the questions to ask Organize both internal and external data Establish operational flexibility, and balance flexibility with efficiency Recruit the right people and organize them optimally Intelligently decide what to do yourself, and what to hire vendors for Balance research, analytics, and testing Implement proven research, analytics, and testing strategies Deliver results through storytelling (and recognize its limitations) Control the biases that creep into analytics research Maintain momentum, implement governance, and keep score |
| data-driven marketing statistics: Data-Driven Marketing for Strategic Success Rui Nunes Cruz, Albérico Travassos Rosário, Luis Bettencourt Moniz, 2024-08-09 In the field of modern marketing, a pivotal challenge emerges as traditional strategies grapple with the complexities of an increasingly data-centric world. Marketers, researchers, and business consultants find themselves at a crossroads, navigating the intricate intersection of data science and strategic marketing practices. This challenge serves as the catalyst for Data-Driven Marketing for Strategic Success, a guide designed to address the pressing issues faced by academic scholars and professionals alike. This comprehensive exploration unveils the transformative power of data in reshaping marketing strategies, offering a beacon of strategic success in a sea of uncertainty. This book transcends the realm of traditional marketing literature. It stands as a useful resource, not merely adding elements to ongoing research but shaping the very future of how researchers, practitioners, and students engage with the dynamic world of data-driven marketing. It is strategically tailored to reach a diverse audience, offering valuable insights to academics and researchers exploring advanced topics, practitioners in the marketing industry seeking practical applications, and graduate students studying data science, marketing, and business analytics. Policymakers, ethicists, and industry regulators will find the dedicated section on ethical considerations particularly relevant, emphasizing the importance of responsible practices in the data-driven marketing landscape. |
| data-driven marketing statistics: Data Driven Thomas C. Redman, 2008-09-22 Your company's data has the potential to add enormous value to every facet of the organization -- from marketing and new product development to strategy to financial management. Yet if your company is like most, it's not using its data to create strategic advantage. Data sits around unused -- or incorrect data fouls up operations and decision making. In Data Driven, Thomas Redman, the Data Doc, shows how to leverage and deploy data to sharpen your company's competitive edge and enhance its profitability. The author reveals: · The special properties that make data such a powerful asset · The hidden costs of flawed, outdated, or otherwise poor-quality data · How to improve data quality for competitive advantage · Strategies for exploiting your data to make better business decisions · The many ways to bring data to market · Ideas for dealing with political struggles over data and concerns about privacy rights Your company's data is a key business asset, and you need to manage it aggressively and professionally. Whether you're a top executive, an aspiring leader, or a product-line manager, this eye-opening book provides the tools and thinking you need to do that. |
| data-driven marketing statistics: Data Science for Business Foster Provost, Tom Fawcett, 2013-07-27 Written by renowned data science experts Foster Provost and Tom Fawcett, Data Science for Business introduces the fundamental principles of data science, and walks you through the data-analytic thinking necessary for extracting useful knowledge and business value from the data you collect. This guide also helps you understand the many data-mining techniques in use today. Based on an MBA course Provost has taught at New York University over the past ten years, Data Science for Business provides examples of real-world business problems to illustrate these principles. You’ll not only learn how to improve communication between business stakeholders and data scientists, but also how participate intelligently in your company’s data science projects. You’ll also discover how to think data-analytically, and fully appreciate how data science methods can support business decision-making. Understand how data science fits in your organization—and how you can use it for competitive advantage Treat data as a business asset that requires careful investment if you’re to gain real value Approach business problems data-analytically, using the data-mining process to gather good data in the most appropriate way Learn general concepts for actually extracting knowledge from data Apply data science principles when interviewing data science job candidates |
| data-driven marketing statistics: Marketing Analytics: A Practitioner's Guide To Marketing Analytics And Research Methods Ashok Charan, 2015-05-20 The digital age has transformed the very nature of marketing. Armed with smartphones, tablets, PCs and smart TVs, consumers are increasingly hanging out on the internet. Cyberspace has changed the way they communicate, and the way they shop and buy. This fluid, de-centralized and multidirectional medium is changing the way brands engage with consumers.At the same time, technology and innovation, coupled with the explosion of business data, has fundamentally altered the manner we collect, process, analyse and disseminate market intelligence. The increased volume, variety and velocity of information enables marketers to respond with much greater speed, to changes in the marketplace. Market intelligence is timelier, less expensive, and more accurate and actionable.Anchored in this age of transformations, Marketing Analytics is a practitioner's guide to marketing management in the 21st century. The text devotes considerable attention to the way market analytic techniques and market research processes are being refined and re-engineered. Written by a marketing veteran, it is intended to guide marketers as they craft market strategies, and execute their day to day tasks. |
| data-driven marketing statistics: Direct, Digital & Data-Driven Marketing Lisa Spiller, 2020-01-09 In this latest edition of her classic text, Lisa Spiller takes an insightful, in-depth look at contemporary marketing concepts, tactics, and techniques and the dynamic innovations that continue to drive and shape this multi-faceted, multi-dimensional field. Direct, Digital, and Data-Driven Marketing recognizes the growth of the various digital formats as the newest interactive channels for conducting modern marketing. But it does not overlook the traditional principles of direct marketing still relevant today. This book examines the field both as it once was and as it is evolving. With plenty of learning features online resources, the Fifth Edition provides an engaging journey, which will leave any marketing student with a thorough knowledge of how all kinds of businesses manage regular communication with their customer base and target demographic. |
| data-driven marketing statistics: Digital and Social Media Marketing Nripendra P. Rana, Emma L. Slade, Ganesh P. Sahu, Hatice Kizgin, Nitish Singh, Bidit Dey, Anabel Gutierrez, Yogesh K. Dwivedi, 2019-11-11 This book examines issues and implications of digital and social media marketing for emerging markets. These markets necessitate substantial adaptations of developed theories and approaches employed in the Western world. The book investigates problems specific to emerging markets, while identifying new theoretical constructs and practical applications of digital marketing. It addresses topics such as electronic word of mouth (eWOM), demographic differences in digital marketing, mobile marketing, search engine advertising, among others. A radical increase in both temporal and geographical reach is empowering consumers to exert influence on brands, products, and services. Information and Communication Technologies (ICTs) and digital media are having a significant impact on the way people communicate and fulfil their socio-economic, emotional and material needs. These technologies are also being harnessed by businesses for various purposes including distribution and selling of goods, retailing of consumer services, customer relationship management, and influencing consumer behaviour by employing digital marketing practices. This book considers this, as it examines the practice and research related to digital and social media marketing. |
| data-driven marketing statistics: DATA-DRIVEN MARKETING IN THE AGE OF ARTIFICIAL INTELLIGENCE Dr. Raghava R. Gundala, Dr Pujari, Dr. G. VIJAYAKUMAR, 2024-03-20 In order to maximize the effectiveness of brand communication and propel the expansion of a company, data-driven marketing is a strategic strategy that makes use of consumer data. It entails gathering, analyzing, and making use of data from a variety of sources in order to obtain insights about the behavior, tastes, and trends of different types of customers. This information is then used to create marketing strategies, messaging, and campaigns to particular audiences, which ultimately results in marketing efforts that are more personalized and successful. The expansion of online platforms and the introduction of digital technology have both played a vital role in the development of data-driven marketing. Today's organizations have access to large volumes of data that are created by interactions with customers, activity on social media platforms, visits to websites, and other digital touchpoints. The abundance of data that is available to marketers gives them with important information on the demographics, interests, purchasing history, and online activity of their target audience population. The use of data has evolved into an essential component of successful marketing campaigns in this era of digital technology. The use of data-driven marketing completely transforms the method in which firms comprehend and interact with their clientele clients.[1] Businesses have the ability to get significant insights into the behavior, tastes, and trends of their customers by using the power of data analytics. This introduction serves as a doorway to explore the ideas, practices, and advantages of data-driven marketing. It gives organizations the ability to harness data to drive growth, improve customer connections, and maintain a competitive advantage in a market that is highly competitive. We invite you to accompany us on a trip into the realm of data-driven marketing, where each click, interaction, and transaction holds the key to unlocking new possibilities and driving success. Now that we have a better understanding of data-driven marketing, we will investigate the ways in which companies may efficiently gather, analyze, and make use of data in order to personalize their marketing efforts. |
| data-driven marketing statistics: Data-Driven Marketing Content Lee Wilson, 2019-06-19 This practical content guide empowers businesses to understand, identify and act on big-data opportunities, producing superior business insights for prolific marketing gains. |
| data-driven marketing statistics: Data-Driven Storytelling Nathalie Henry Riche, Christophe Hurter, Nicholas Diakopoulos, Sheelagh Carpendale, 2018-03-28 This book presents an accessible introduction to data-driven storytelling. Resulting from unique discussions between data visualization researchers and data journalists, it offers an integrated definition of the topic, presents vivid examples and patterns for data storytelling, and calls out key challenges and new opportunities for researchers and practitioners. |
| data-driven marketing statistics: The Data Driven Leader Jenny Dearborn, David Swanson, 2017-10-06 Data is your most valuable leadership asset—here's how to use it The Data Driven Leader presents a clear, accessible guide to solving important leadership challenges through human resources-focused and other data analytics. This engaging book shows you how to transform the HR function and overall organizational effectiveness by using data to make decisions grounded in facts vs. opinions, identify root causes behind your company’s thorniest problems and move toward a winning, future-focused business strategy. Realistic and actionable, this book tells the story of a successful sales executive who, after leading an analytics-driven turnaround (in Data Driven, this book’s predecessor), faces a new turnaround challenge as chief human resources officer. Each chapter features insightful commentary and practical notes on the points the story raises, guiding you to put HR analytics into action in your organization. HR and other leaders cannot afford to overlook the power and competitive advantages of data-driven decision-making and strategies. This book reflects the growing trend of CEOs choosing analytics-minded business leaders to head HR, at a time when workplaces everywhere face game-changing forces including automation, robotics and artificial intelligence. It is urgent that human resources leaders embrace analytics, not only to remain professionally relevant but also to help their organizations successfully navigate this digital transformation. HR professionals can and must: Understand essential data science principles and corporate analytics models Identify and execute effective data analytics initiatives Boost HR and company productivity and performance with metrics that matter Shape an analytics-centric culture that generates data driven leaders Most organizations capture and report data, but data is useless without analysis that leads to action. The Data Driven Leader shows you how to use this tremendous asset to lead your organization higher. |
| data-driven marketing statistics: Maths and STATS for Web Analytics and Conversion Optimization Himanshu Sharma, 2015-11-03 The role of maths and statistics in the world of web analytics is not clear to many marketers. Not many talk or write about the usage of statistics and data science in conversion optimization. This book has been written to fill this knowledge gap.This expert guide will teach you exactly what you need to know. It will teach you how to leverage the knowledge of maths and statistics in order to accurately interpret data and take actions which can quickly improve the bottom-line of your online business. Every topic covered in this book has something to do directly with your day to day job. This book covers vital topics on maths and statistics which every internet marketer/web analyst should get familiar with in order to achieve optimum results from their analysis, marketing campaigns and conversion optimization efforts. It explains some of the most useful statistics terms/concepts one by one and will also show you their practical use in web analytics and conversion optimization, so that you can take advantage of them straightaway. |
| data-driven marketing statistics: Digital Marketing Dave Chaffey, Fiona Ellis-Chadwick, 2012-10-12 Now in its fifth edition, Digital Marketing (previously Internet Marketing) provides comprehensive, practical guidance on how companies can get the most out of digital media to meet their marketing goals. Digital Marketing links marketing theory with practical business experience through case studies and interviews from cutting edge companies such as eBay and Facebook, to help students understand digital marketing in the real world. |
| data-driven marketing statistics: Marketing Research Kit For Dummies Michael Hyman, Jeremy Sierra, 2010-03-05 The tools you need to identify, obtain, record, and analyze data Sure, access to data is faster and easier to obtain than ever before, but how do you cut through the clutter of information to find what's most useful and organize it to suit your purposes? Marketing Research Kit For Dummies supplies a brimming box of tools that help you mine mountains of data, find the sources you need, and focus your marketing plan. Whether you're an entrepreneur, a small business owner, or a marketer in a large organization, this powerful resource and companion CD provide you with hands-on tools you need to identify, obtain, record, and analyze secondary, data-electronic and print-for developing or revising a marketing plan, launching a new product or service, or implementing long-term strategic planning. It also offers clear, in-depth instructions and customizable forms for conducting your own primary research. Includes complete instructions for writing a research plan, conducting depth interviews, and focus groups Fully explains the process of sampling, analyzing data, and reporting results Features tips on developing questionnaires for face-to-face, Internet, and postal surveys Helps you keep an eye on your competition and analyze their results When money is tight and everything is on the line, you need to make sure you've done your homework. You need Marketing Research Kit For Dummies. Note: CD-ROM/DVD and other supplementary materials are not included as part of eBook file. |
| data-driven marketing statistics: Data-Driven Marketing for Strategic Success Rosário, Albérico Travassos, Cruz, Rui Nunes, Moniz, Luis Bettencourt, 2024-08-09 In the field of modern marketing, a pivotal challenge emerges as traditional strategies grapple with the complexities of an increasingly data-centric world. Marketers, researchers, and business consultants find themselves at a crossroads, navigating the intricate intersection of data science and strategic marketing practices. This challenge serves as the catalyst for Data-Driven Marketing for Strategic Success, a guide designed to address the pressing issues faced by academic scholars and professionals alike. This comprehensive exploration unveils the transformative power of data in reshaping marketing strategies, offering a beacon of strategic success in a sea of uncertainty. This book transcends the realm of traditional marketing literature. It stands as a useful resource, not merely adding elements to ongoing research but shaping the very future of how researchers, practitioners, and students engage with the dynamic world of data-driven marketing. It is strategically tailored to reach a diverse audience, offering valuable insights to academics and researchers exploring advanced topics, practitioners in the marketing industry seeking practical applications, and graduate students studying data science, marketing, and business analytics. Policymakers, ethicists, and industry regulators will find the dedicated section on ethical considerations particularly relevant, emphasizing the importance of responsible practices in the data-driven marketing landscape. |
| data-driven marketing statistics: Marketing Metrics Neil Bendle, Paul W. Farris, Phillip Pfeifer, David Reibstein, 2020-08-23 Your Definitive, Up-to-Date Guide to Marketing Metrics—Choosing Them, Implementing Them, Applying Them This award-winning guide will help you accurately quantify the performance of all your marketing investments, increase marketing ROI, and grow profits. Four renowned experts help you apply today's best practices for assessing everything from brand equity to social media, email performance, and rich media interaction. This updated edition shows how to measure costly sponsorships, explores links between marketing and financial metrics for current and aspiring C-suite decision-makers; presents better ways to measure omnichannel marketing activities; and includes a new section on accountability and standardization in marketing measurement. As in their best-selling previous editions, the authors present pros, cons, and practical guidance for every technique they cover. Measure promotions, advertising, distribution, customer perceptions, competitor power, margins, pricing, product portfolios, salesforces, and more Apply web, online, social, and mobile metrics more effectively Build models to optimize planning and decision-making Attribute purchase decisions when multiple channels interact Understand the links between search and distribution, and use new online distribution metrics Evaluate marketing's impact on a publicly traded firm's financial objectives Whatever your marketing role, Marketing Metrics will help you choose the right metrics for every task—and capture data that's valid, reliable, and actionable. |
| data-driven marketing statistics: Digitalization and Industry 4.0: Economic and Societal Development Hans-Christian Brauweiler, Vladimir V. Kurchenkov, Serik Abilov, Bernd Zirkler, 2020-07-29 Economies are changing – independent from their status, i.e. industrialized, threshold or developing. Technological advancement, e.g. in information or telecommunication, and environmental concerns make people rethink present and future activities. Many challenges can only be tackled internationally or interdisciplinary. The articles of WHZ conferences with DAAD-Alumni and partners from 20 nations take various problems and approaches to solutions into focus. The editors hope some of the ideas to give further thought to similar problems in other regions or areas of science or economy. About the Editors: H.-Ch. Brauweiler, Prof. Dr. Dr. h. c., Prof. of Accounting & Audit, WHZ Zwickau University. Research focus: University management, blended learning, regional development, risk management. V. Kurchenkov, Prof. Dr., Prof. of Public Administration & Management, VSU Volgograd. Research focus: Forecasting & planning, innovation management, municipal administration, economic policy. S. Abilov, Head of Intern. Dep., KAFU Ust Kamenogorsk. Research focus: University management, interdisciplinary & intercultural communication. B. Zirkler, Prof. Dr., Prof. of Accounting/Controlling, WHZ. Research focus: International accounting & controlling, effects of digitization and sustainability on controlling. |
| data-driven marketing statistics: Designing with Data Rochelle King, Elizabeth F Churchill, Caitlin Tan, 2017-03-29 On the surface, design practices and data science may not seem like obvious partners. But these disciplines actually work toward the same goal, helping designers and product managers understand users so they can craft elegant digital experiences. While data can enhance design, design can bring deeper meaning to data. This practical guide shows you how to conduct data-driven A/B testing for making design decisions on everything from small tweaks to large-scale UX concepts. Complete with real-world examples, this book shows you how to make data-driven design part of your product design workflow. Understand the relationship between data, business, and design Get a firm grounding in data, data types, and components of A/B testing Use an experimentation framework to define opportunities, formulate hypotheses, and test different options Create hypotheses that connect to key metrics and business goals Design proposed solutions for hypotheses that are most promising Interpret the results of an A/B test and determine your next move |
| data-driven marketing statistics: Customer Insight Strategies Christine Bailey, 2020-11-03 In a noisy, fast-paced marketing world, customer insight holds the key to creating memorable, purpose-driven marketing. This book shows precisely how customer insights can be used to build a marketing mission with purpose. Customer Insight Strategies outlines the critical role of customer insight and provides techniques and strategies that will help marketers identify trends, nurture leads and understand consumers - ultimately, empowering them to grow profits. The strategies are explained in a straightforward, jargon-free manner, and can be applied to a huge range of marketing challenges, regardless of time, budget or organizational size. Customer Insight Strategies discusses many of the core methods through which customer insight can be gleaned, providing easy-to-follow guidelines for applying them to everyday marketing practice. Covering topics such as customer segments, marketing to personas and lead generation, it contains global case studies from organizations including Cisco, NTT, Refinitiv and The Co-op as well as interviews with leading business professionals sharing their thoughts on using customer insights to grow profits. Written by a highly respected thought-leader and industry influencer, this book will help any professional create truly powerful marketing. |
| data-driven marketing statistics: Intelligent Data-Driven Marketing: When Physicists Start Thinking about Marketing Mathias Elsässer, 2022-03-22 Following Einstein’s sentence: “Everything should be made as simple as possible, but not simpler. If you can’t explain it simply, you don’t understand it well enough,” this book puts a spotlight on the complex marketing ecosystem from a physicist’s point of view. Today’s marketing world is overcomplex; CMOs face the challenge to transform their current target operating models towards a 100% customer-centric and data-driven way of working. A journey from good old mad-men toward math-men marketing. This book consists of three parts: The first part strips down the complexity of the marketing universe to the leanest frame of reference and then brings back the complexity, step by step, in single dimensions. Part two and three just follow these thoughts and provide a detailed description of 56 small atoms that can be used in a maturity assessment of your marketing. How to use them in a broader transformation concludes the book. In summary: An end-2-end guideline how to pursue and master the transformation from mad-men towards a math-men marketing operating model. |
DATA-DRIVEN MARKETING TRENDS - Ascend2
For many years, Ascend2 has provided marketing professionals with research on data-driven marketing trends to help them stay competitive. This year's study examines the impact of AI …
DATA DRIVEN AND CUSTOMER CENTRIC - Forbes
realizing the relevance of data-driven marketing, new tools and skills are becoming a necessity to deliver brand consistency and results. But questions remain: Now that marketers are...
The Definitive Guide to Marketing Metrics and Analytics
Metrics like brand awareness, click-through rates, impressions, organic search rankings, and reach are essential—but only to the extent that they quantifiably connect to hard metrics like …
How has data-driven marketing evolved: Challenges and …
Data-driven marketing optimizes customer information to develop a marketing strategy. It involves using online and ofline channels to collect complex data that is then analyzed to understand...
Data-Driven Marketing - shodhsamagam.com
empowered businesses to make informed marketing decisions that drive engagement, retention, and revenue growth. This book, “Data-Driven Marketing: Strategies, Tools, and Applications”, …
Survey Results: Data Driven Marketing (DDM) - aai.ie
44% of respondents say that data is primarily used ‘to enable relevant, timely, precision marketing communications direct to consumer’, and an additional 44% say this is an important data use.
Data-Driven Marketing: Impacting a Revolution in the
The purpose of this thesis is to highlight this revolutionary change and its effect on in-dustry identity, how marketers operate, and whether this adaptation of marketing teams combined …
Data-driven marketing strategy and consumer behavior …
Apr 15, 2024 · With the advent of the era of big data, the data-driven marketing strategy has gradually become the key to enterprise competition. This paper first introduces the basic …
Making data-driven marketing decisions - McKinsey & Company
Using econometric modeling, MMM helps executives in charge of both tactical and strategic retail management—usually the CMO and the commercial director or head of sales—better …
Digital Marketing in SMEs: Data-Driven Strategies Overview
In this literature review, we delve into the evolution of digital marketing in SMEs, the impact of data-driven strategies, relevant academic studies, and the key success factors and challenges …
DATA-DRIVEN MARKETING 2023 - Ascend2
Data-Driven Marketing 2023 Conducted by Ascend2 and Research Partners Published July 2023 DATA-DRIVEN USE CASES Paid advertising has grown in usefulness for 37% of marketers …
DATA DRIVEN AND DIGITALLY SAVVY: THE RISE OF THE NEW …
Data-driven marketing has delivered demonstrable results in terms of customer loyalty, customer engagement and market growth. Organizations that are “leaders” in data-driven...
DATA-DRIVEN MARKETING - Progress Software
data-driven marketing is to allow organizations to focus and refine each step of their customer’s journey through meaningful conversations, carefully measured interactions and timely, …
Data-Driven Marketing: B2B METRICS THAT MATTER ACROSS …
Data-Driven Marketing: B2B Metrics That Matter Across Marketing Campaigns And Launches © 2023 Launch Marketing, LLC 2 This eBook discusses the data and metrics that matter across …
Marketing & Sales Practice By the numbers: What drives sales …
In insights, leaders gain a 2 to5 percent bump in sales as a result of data-driven decision making. In agility, cross-functional coordination and teaming drive a 5 to 10 percent increase in sales. …
Data-driven marketing practices Australian industry …
In the first half of 2016, the ACMA commissioned the Association for Data-driven Marketing and Advertising (ADMA) to conduct a survey among its members to better understand current data …
USING DATA-DRIVEN MARKETING - Ascend2
In which applications are marketers finding the most success from their data-driven marketing strategy? Using data as a part of their customer experience or journey mapping is a most …
Marketing & Sales Big Data, Analytics, and the Future of …
Big Data is the biggest hame-changing opportunity for marketing and sales since the Internet went mainstream almost 20 years ago. The data big bang has unleashed torrents of terabytes about …
Data-Driven Marketing 101 - resources.martechseries.com
data sets to uncover trends and create opportunities that expand marketing effectiveness. This eBook highlights how data-driven strategies empower marketing campaigns through …
Data-Driven Marketing Survey Summary Report from Ascend2
Half (50%) of marketing professionals surveyed find that collecting quality data is the greatest challenge to executing a data-driven marketing strategy. Identifying the right solutions to …
DATA-DRIVEN MARKETING TRENDS - Ascend2
For many years, Ascend2 has provided marketing professionals with research on data-driven marketing trends to help them stay competitive. This year's study examines the impact of AI on …
DATA DRIVEN AND CUSTOMER CENTRIC - Forbes
realizing the relevance of data-driven marketing, new tools and skills are becoming a necessity to deliver brand consistency and results. But questions remain: Now that marketers are...
The Definitive Guide to Marketing Metrics and Analytics
Metrics like brand awareness, click-through rates, impressions, organic search rankings, and reach are essential—but only to the extent that they quantifiably connect to hard metrics like …
How has data-driven marketing evolved: Challenges and …
Data-driven marketing optimizes customer information to develop a marketing strategy. It involves using online and ofline channels to collect complex data that is then analyzed to understand...
Data-Driven Marketing - shodhsamagam.com
empowered businesses to make informed marketing decisions that drive engagement, retention, and revenue growth. This book, “Data-Driven Marketing: Strategies, Tools, and Applications”, …
Survey Results: Data Driven Marketing (DDM) - aai.ie
44% of respondents say that data is primarily used ‘to enable relevant, timely, precision marketing communications direct to consumer’, and an additional 44% say this is an important data use.
Data-Driven Marketing: Impacting a Revolution in the
The purpose of this thesis is to highlight this revolutionary change and its effect on in-dustry identity, how marketers operate, and whether this adaptation of marketing teams combined …
Data-driven marketing strategy and consumer behavior …
Apr 15, 2024 · With the advent of the era of big data, the data-driven marketing strategy has gradually become the key to enterprise competition. This paper first introduces the basic …
Making data-driven marketing decisions - McKinsey & Company
Using econometric modeling, MMM helps executives in charge of both tactical and strategic retail management—usually the CMO and the commercial director or head of sales—better …
Digital Marketing in SMEs: Data-Driven Strategies Overview
In this literature review, we delve into the evolution of digital marketing in SMEs, the impact of data-driven strategies, relevant academic studies, and the key success factors and challenges …
DATA-DRIVEN MARKETING 2023 - Ascend2
Data-Driven Marketing 2023 Conducted by Ascend2 and Research Partners Published July 2023 DATA-DRIVEN USE CASES Paid advertising has grown in usefulness for 37% of marketers …
DATA DRIVEN AND DIGITALLY SAVVY: THE RISE OF …
Data-driven marketing has delivered demonstrable results in terms of customer loyalty, customer engagement and market growth. Organizations that are “leaders” in data-driven...
DATA-DRIVEN MARKETING - Progress Software
data-driven marketing is to allow organizations to focus and refine each step of their customer’s journey through meaningful conversations, carefully measured interactions and timely, …
Data-Driven Marketing: B2B METRICS THAT MATTER …
Data-Driven Marketing: B2B Metrics That Matter Across Marketing Campaigns And Launches © 2023 Launch Marketing, LLC 2 This eBook discusses the data and metrics that matter across …
Marketing & Sales Practice By the numbers: What drives …
In insights, leaders gain a 2 to5 percent bump in sales as a result of data-driven decision making. In agility, cross-functional coordination and teaming drive a 5 to 10 percent increase in sales. …
Data-driven marketing practices Australian industry …
In the first half of 2016, the ACMA commissioned the Association for Data-driven Marketing and Advertising (ADMA) to conduct a survey among its members to better understand current data …
USING DATA-DRIVEN MARKETING - Ascend2
In which applications are marketers finding the most success from their data-driven marketing strategy? Using data as a part of their customer experience or journey mapping is a most …
Marketing & Sales Big Data, Analytics, and the Future of …
Big Data is the biggest hame-changing opportunity for marketing and sales since the Internet went mainstream almost 20 years ago. The data big bang has unleashed torrents of terabytes about …
Data-Driven Marketing 101 - resources.martechseries.com
data sets to uncover trends and create opportunities that expand marketing effectiveness. This eBook highlights how data-driven strategies empower marketing campaigns through …
Data-Driven Marketing Survey Summary Report from Ascend2
Half (50%) of marketing professionals surveyed find that collecting quality data is the greatest challenge to executing a data-driven marketing strategy. Identifying the right solutions to …
