Big Data Marketing

Engage Your Customers More Effectively and Drive Value

Author: Lisa Arthur

Publisher: John Wiley & Sons

ISBN: 1118734025

Category: Business & Economics

Page: 208

View: 2809

Leverage big data insights to improve customer experiences and insure business success Many of today's businesses find themselves caught in a snarl of internal data, paralyzed by internal silos, and executing antiquated marketing approaches. As a result, consumers are losing patience, shareholders are clamoring for growth and differentiation, and marketers are left struggling to untangle the massive mess. Big Data Marketing provides a strategic road map for executives who want to clear the chaos and start driving competitive advantage and top line growth. Using real-world examples, non-technical language, additional downloadable resources, and a healthy dose of humor, Big Data Marketing will help you discover the remedy offered by data-driven marketing. Explains how marketers can use data to learn what they need to know Details strategies to drive marketing relevance and Return On Marketing Investment (ROMI) Provides a five-step approach in the journey to a more data-driven marketing organization Author Lisa Arthur, the Chief Marketing Officer for Teradata Applications, the leader in integrated marketing software, meets with thousands of CMOs and marketing professionals annually through public speaking and events Big Data Marketing reveals patterns in your customers' behavior and proven ways to elevate customer experiences. Leverage these insights to insure your business's success.

Humanizing Big Data

Marketing at the Meeting of Data, Social Science and Consumer Insight

Author: Colin Strong

Publisher: Kogan Page Publishers

ISBN: 074947212X

Category: Business & Economics

Page: 224

View: 9603

Big data raises more questions than it answers, particularly for those organizations struggling to deal with what has become an overwhelming deluge of data. It can offer marketers more than simple tactical predictive analytics, but organizations need a bigger picture, one that generates some real insight into human behaviour, to drive consumer strategy rather than just better targeting techniques. Humanizing Big Data guides marketing managers, brand managers, strategists and senior executives on how to use big data strategically to redefine customer relationships for better customer engagement and an improved bottom line. Humanizing Big Data provides a detailed understanding of the way to approach and think about the challenges and opportunities of big data, enabling any brand to realize the value of their current and future data assets. First it explores the 'nuts and bolts' of data analytics and the way in which the current big data agenda is in danger of losing credibility by paying insufficient attention to what are often fundamental tenets in any form of analysis. Next it sets out a manifesto for a smart data approach, drawing on an intelligent and big picture view of data analytics that addresses the strategic business challenges that businesses face. Finally it explores the way in which datafication is changing the nature of the relationship between brands and consumers and why this calls for new forms of analytics to support rapidly emerging new business models. After reading this book, any brand should be in a position to make a step change in the value they derive from their data assets.

Engaging Customers Using Big Data

How Marketing Analytics Are Transforming Business

Author: Arvind Sathi

Publisher: Palgrave Macmillan

ISBN: 1137386207

Category: Business & Economics

Page: 240

View: 4617

Big Data is rapidly transforming a number of business functions across many industries. The biggest transformation is in how we market to our customers. This book shows marketers today how to seek small samples from their customers to observe their behavior, predict changes, and act using a series of unconnected business actions. Big Data has changed the game completely—we can connect with customers, record every click on the web, watch every step in the store, and listen to all public conversations. Unlike today's environment, where marketers broadcast across a set of customer segments, we can now personalize our communications to each customer based on their current predisposition to the products being sold. The book makes three major propositions: 1. Big Data brings all the data to the table leading to a lot more detailed analysis and discovery. We can get a lot more understanding about consumer behavior. 2. Automation and Social Media drives a lot more influence on the decisions. We can converse with the customers as they make decisions and influence their decision-making using a series of sophisticated marketing tools. 3. The market leaders will integrate their resources and investment to optimize across a number of instruments in ways we have never seen before. These changes have tremendous impact on our marketing processes and capabilities. In the first half of the book, using a series of examples from big data pioneers, such as PF Chang's, Best Buy, Google, and IBM, Sathi describes how each marketing function is undergoing fundamental changes: how personalized advertising is delivered using online channels where the marketers identify the specific customer and tailor their messaging based on customer behavior, context, and intention; how customer behaviors are collected from a variety of sources across many industries and examined to identify micro segments; and how online and physical stores collaborate to provide a unified shopping experience and deliver product information. The second half of the book examines the tools and techniques for marketing science in support of these capabilities including statistical techniques, qualitative reasoning, and real-time pattern detection, to name a few. Based on these changes, the book prescribes the changes needed to update our skill and tools for Marketing Analytics.

Outside-In Marketing

Using Big Data to Guide your Content Marketing

Author: James Mathewson,Mike Moran

Publisher: IBM Press

ISBN: 0133375617

Category: Business & Economics

Page: 208

View: 9112

Supercharge ROI by Rebuilding Content Marketing Around Your Customer! Marketing has always been about my brand, my product, my company. That’s “inside-out” marketing. Today, customers hate it—and ignore it. What does work? Customized messages they already care about. Marketing that respects their time and gives them immediate value in exchange for their attention. Marketing that’s “outside-in.” Now, two renowned digital marketing thought leaders show how to integrate content marketing with Big Data to create high-ROI, outside-in marketing. James Mathewson and Mike Moran share new practices, techniques, guidelines, and metrics for engaging on your customers’ terms, using their words, reflecting their motivations. Whether you’re a content marketer, marketing executive, or analyst, you’ll learn how to: • Ease your customers’ pain—solve what keeps them up at night—with compelling content experiences • Build content that’s essential to clients and prospects in each step of their buyer journeys • Integrate search and social data into all facets of content development to continually improve its effectiveness • Build evergreen content that is continuously improved to better meet the needs of your clients and prospects • Apply advanced machine learning, text analytics, and sentiment analysis to craft more discoverable, shareable content • Shape your messages to intercept your clients’ and prospects’ information discovery in Google • Transform culture and systems to excel at outside-in marketing

Creating Value with Big Data Analytics

Making Smarter Marketing Decisions

Author: Peter C. Verhoef,Edwin Kooge,Natasha Walk

Publisher: Routledge

ISBN: 1317561929

Category: Business & Economics

Page: 316

View: 7565

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.

Internet Marketing and Big Data Exploitation

Author: I. Chaston

Publisher: Springer

ISBN: 1137488964

Category: Business & Economics

Page: 287

View: 3755

Understanding new strategic approaches is provided by examining how the online world is being exploited by organisations in sectors of a modern economy such retailing, healthcare and the public sector in terms of creating new forms of competitive advantage as a consequence of the advent of mobile technology and online social networks.

Big Data, Analytics, and the Future of Marketing & Sales

Author: McKinsey Chief McKinsey Chief Marketing & Sales Officer Forum,Mckinsey Chief Marketing,Sales Officer Forum

Publisher: N.A

ISBN: 9781500839048

Category: Computers

Page: 156

View: 6106

Big Data is the biggest game-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 everything from customer behaviors to weather patterns to demographic consumer shifts in emerging markets. This collection of articles, videos, interviews, and slideshares highlights the most important lessons for companies looking to turn data into above-market growth: Using analytics to identify valuable business opportunities from the data to drive decisions and improve marketing return on investment (MROI) Turning those insights into well-designed products and offers that delight customers Delivering those products and offers effectively to the marketplace.The goldmine of data represents a pivot-point moment for marketing and sales leaders. Companies that inject big data and analytics into their operations show productivity rates and profitability that are 5 percent to 6 percent higher than those of their peers. That's an advantage no company can afford to ignore.

Predictive Marketing

Easy Ways Every Marketer Can Use Customer Analytics and Big Data

Author: Omer Artun,Dominique Levin

Publisher: John Wiley & Sons

ISBN: 1119037336

Category: Business & Economics

Page: 272

View: 1271

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.

Statistical Modeling and Analysis for Database Marketing

Effective Techniques for Mining Big Data

Author: Bruce Ratner

Publisher: CRC Press

ISBN: 9780203496909

Category: Business & Economics

Page: 384

View: 8907

Traditional statistical methods are limited in their ability to meet the modern challenge of mining large amounts of data. Data miners, analysts, and statisticians are searching for innovative new data mining techniques with greater predictive power, an attribute critical for reliable models and analyses. Statistical Modeling and Analysis for Database Marketing: Effective Techniques for Mining Big Data delivers a collection of successful database marketing methodologies for big data. This compendium solves common database marketing problems by applying new hybrid modeling techniques that combine traditional statistical and new machine learning methods. The book delivers a thorough analysis of these cutting-edge techniques, which include non-statistical machine learning and genetic intelligent hybrid models. By following the step-by-step procedures detailed in the text, database marketing professionals can learn how to apply the proper statistical techniques to any database marketing challenge. The practical case studies and examples provided involve real problems and real data, and are taken from a variety of industries, including banking, insurance, finance, retail, and telecommunications.

New Methods of Market Research and Analysis

Author: G. Scott Erickson

Publisher: Edward Elgar Publishing

ISBN: 1786432692

Category:

Page: 208

View: 5394

New Methods of Market Research and Analysis prepares readers for the new reality posed by big data and marketing analytics. While connecting to traditional research approaches such as surveys and focus groups, this book shows how new technologies and new analytical capabilities are rapidly changing the way marketers obtain and process their information. In particular, the prevalence of big data systems always monitoring key performance indicators, trends toward more research using observation or observation and communication together, new technologies such as mobile, apps, geo-locators, and others, as well as the deep analytics allowed by cheap data processing and storage are all covered and placed in context. This book can be used as a supplement to a traditional marketing research text or on its own.

Analytics and Dynamic Customer Strategy

Big Profits from Big Data

Author: John F. Tanner, Jr.

Publisher: John Wiley & Sons

ISBN: 1118919777

Category: Business & Economics

Page: 256

View: 2592

Key decisions determine the success of big data strategy Dynamic Customer Strategy: Big Profits from Big Data is a comprehensive guide to exploiting big data for both business-to-consumer and business-to-business marketing. This complete guide provides a process for rigorous decision making in navigating the data-driven industry shift, informing marketing practice, and aiding businesses in early adoption. Using data from a five-year study to illustrate important concepts and scenarios along the way, the author speaks directly to marketing and operations professionals who may not necessarily be big data savvy. With expert insight and clear analysis, the book helps eliminate paralysis-by-analysis and optimize decision making for marketing performance. Nearly seventy-five percent of marketers plan to adopt a big data analytics solution within two years, but many are likely to fail. Despite intensive planning, generous spending, and the best intentions, these initiatives will not succeed without a manager at the helm who is capable of handling the nuances of big data projects. This requires a new way of marketing, and a new approach to data. It means applying new models and metrics to brand new consumer behaviors. Dynamic Customer Strategy clarifies the situation, and highlights the key decisions that have the greatest impact on a company's big data plan. Topics include: Applying the elements of Dynamic Customer Strategy Acquiring, mining, and analyzing data Metrics and models for big data utilization Shifting perspective from model to customer Big data is a tremendous opportunity for marketers and may just be the only factor that will allow marketers to keep pace with the changing consumer and thus keep brands relevant at a time of unprecedented choice. But like any tool, it must be wielded with skill and precision. Dynamic Customer Strategy: Big Profits from Big Data helps marketers shape a strategy that works.

Internet Marketing and Big Data Exploitation

Author: I. Chaston

Publisher: Springer

ISBN: 1137488964

Category: Business & Economics

Page: 287

View: 3401

Understanding new strategic approaches is provided by examining how the online world is being exploited by organisations in sectors of a modern economy such retailing, healthcare and the public sector in terms of creating new forms of competitive advantage as a consequence of the advent of mobile technology and online social networks.

Healthcare and Big Data

Digital Specters and Phantom Objects

Author: Mary F.E. Ebeling

Publisher: Springer

ISBN: 1137502215

Category: Social Science

Page: 170

View: 2762

This highly original book is an ethnographic noir of how Big Data profits from patient private health information. The book follows personal health data as it is collected from inside healthcare and beyond to create patient consumer profiles that are sold to marketers. Primarily told through a first-person noir narrative, Ebeling as a sociologist-hard-boiled-detective, investigates Big Data and the trade in private health information by examining the information networks that patient data traverses. The noir narrative reveals the processes that the data broker industry uses to create data commodities—data phantoms--or the marketing profiles of patients that are bought by advertisers to directly market to consumers. Healthcare and Big Data considers the implications these “data phantoms” have for patient privacy as well as the very real harm that they can cause.

The Big Data-Driven Business

How to Use Big Data to Win Customers, Beat Competitors, and Boost Profits

Author: Russell Glass,Sean Callahan

Publisher: John Wiley & Sons

ISBN: 1118889800

Category: Business & Economics

Page: 224

View: 2145

Every corporation in the world is using big data to some degree. The winners in today's data-driven environment create cultures that embrace big data in order to outshine the competition. The Big Data-Driven Business shows what it takes to create a thriving business culture that has intense focus on the customer by analyzing data, by being open to the truths it reveals, and by having the guts to act on those conclusions in order to prevail in the marketplace. The benefits of big data are available to any company, any size, in any industry. In this vital resource, Russell Glass and Sean Callahan offer real-world examples that act as an invaluable guide to establish a system that gathers and analyzes the data being generated by customers for delivering insights and revealing opportunities that can't be realized any other way. Once an effective big data system is established, competitive advantage and outsized shareholder value are bound to follow. The marketplace has entered an era where the customer holds all the cards. With unprecedented choice in both the consumer world and the B2B world, it's imperative that businesses gain a greater understanding of their customers and prospects. Filled with compelling real-world examples, The Big Data-Driven Business clearly demonstrates how leading marketers embrace software platforms that include marketing automation software, customer relationship management systems, data management platforms, and analytics tools to help make sense of customer behavior. The most effective strategy ties together the elements of this software, which is known as the marketing stack. With this insight about the target market, not only can the marketing team serve relevant messages to the right people at the right time, it can also anticipate their needs and perhaps even create the products their customer base didn't even know it wanted. Better information allows for better decisions, better targeting, and better reach. Big data has become an indispensable tool for the most effective marketers in the business, and it's becoming a necessity for businesses that want to thrive. Remaining relevant as the marketplace evolves requires a full understanding and application of big data, and The Big Data-Driven Business provides the practical guidance businesses need.

World Wide Data

The Future of Digital Marketing, E-Commerce, and Big Data

Author: Alfonso Asensio

Publisher: Business Expert Press

ISBN: 1947843044

Category: Business & Economics

Page: 74

View: 5158

The world is currently in the midst of a data revolution. Consumers now inhabit a digital world and companies have no option but to follow them there. Governments are reviewing the rules of usage for consumer data in marketing and advertising in order to take advantage of the huge economic opportunity that the data driven economy represents. Companies, recognizing the opportunity, are hurrying to adapt by digitalizing their processes. They are putting pressure on their managers and working teams to learn how to make best use of the technology capabilities and their data resources. What is more, premier national companies have to compete in a global business field where their Silicon Valley-breed competitors have a substantial advantage in terms of digitalization and data usage. Written in plain English with illustrative examples and cases, this book is for the general manager who seeks a better grasp of this fast-changing business world and a better understanding of what will be required from he/she, not just now but in five years’ time.

It's Not the Size of the Data -- It's How You Use It

Smarter Marketing with Analytics and Dashboards

Author: Koen Pauwels

Publisher: AMACOM

ISBN: 0814433960

Category: Business & Economics

Page: 240

View: 7581

Brand tracking, CRM programs, trade shows, online behavior tracking, satisfaction studies. Mounds of marketing metrics are generated across touchpoints and channels. It can be information overload--too much, too scattered. But locked in the vast quantity of information are accurate, data-driven answers to every marketing question. Analytic dashboards are transformative web-based tools that gather, synthesize, and visually display essential data in real time, directly connecting marketing with performance. World renowned marketing expert Koen Pauwels supplies a simple yet rigorous methodology and wealth of case studies to help any size organization, in any industry, turn data into productive action. He explains step by step how to: Gain crucial IT support Build a rock-solid database Select key leading performance indicators Design the optimal dashboard layout Use marketing analytics to improve decisions and reap rewards Gut decisions are outdated and downright dangerous. Whether you're trying to allocate resources between online and offline marketing, measure the ROI of specific efforts, or scale up a creative campaign, dashboard analytics bring scientific precision and insight to marketing efforts--with far better results.

Healthcare and Big Data

Digital Specters and Phantom Objects

Author: Mary F.E. Ebeling

Publisher: Springer

ISBN: 1137502215

Category: Social Science

Page: 170

View: 9431

This highly original book is an ethnographic noir of how Big Data profits from patient private health information. The book follows personal health data as it is collected from inside healthcare and beyond to create patient consumer profiles that are sold to marketers. Primarily told through a first-person noir narrative, Ebeling as a sociologist-hard-boiled-detective, investigates Big Data and the trade in private health information by examining the information networks that patient data traverses. The noir narrative reveals the processes that the data broker industry uses to create data commodities—data phantoms--or the marketing profiles of patients that are bought by advertisers to directly market to consumers. Healthcare and Big Data considers the implications these “data phantoms” have for patient privacy as well as the very real harm that they can cause.

The New Marketing Analytics

A Cmo's Guide to Harnessing Traditional & Big Data to Drive Business Results

Author: David E Dirks,Frank Koechlein

Publisher: Createspace Independent Publishing Platform

ISBN: 9781536909197

Category:

Page: N.A

View: 5450

THE NEW MARKETING ANALYTICS A clear, common sense guide for implementing an effective data analytics strategy. In today's world, no matter the industry, businesses and organizations are competing in an information-based marketplace. To effectively compete, marketing leaders are tasked with timely analysis of mountains of customer and market information to make faster and better marketing decisions. It's not just the task of collecting information. It's the development of new insights and the ability to implement this new found knowledge to drive more profitable marketing - that's what counts. Marketers get paid to produce results. From chief marketing officers to independent small business owners, success is defined as growing a business, increasing profitability, having a better understanding of customers or being a market leader. This book will demonstrate how the degree of success is in direct proportion to the ability to successfully analyze both traditional and big data. The information and wisdom derived from data is the ultimate competitive advantage. Welcome to the New Marketing Analytics.

Big Data Applications and Use Cases

Author: Patrick C. K. Hung

Publisher: Springer

ISBN: 3319301462

Category: Computers

Page: 214

View: 2963

This book presents different use cases in big data applications and related practical experiences. Many businesses today are increasingly interested in utilizing big data technologies for supporting their business intelligence so that it is becoming more and more important to understand the various practical issues from different practical use cases. This book provides clear proof that big data technologies are playing an ever increasing important and critical role in a new cross-discipline research between computer science and business.