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Provides comprehensive coverage of the classic areas that market researchers and marketers need to focus on.
Historical and current perspectives on consumption -- A historical context for understanding consumption -- Contemporary perspectives on consumer behavior -- Consumer research -- Micro-view of consumption -- Perceptual processes -- Learning and memory -- Personality, self, and motivation -- Attitude theory and behavior change -- Decision-making and involvement -- Macro-view of consumption -- Patterns of buyer behavior -- Groups, social processes, and communications -- Culture -- Where are we going? -- Ethics and social responsibility -- Future trends in consumer behavior -- Glossary -- Index.
Consumer-goods companies need more than just traditional market research to make good strategic decisions. That's why many of them have created departments of consumer insights. This book reveals the characteristics of these new departments and their leaders. You'll discover how they contribute to customer knowledge that goes far beyond market research to help set strategy and develop new business opportunities.Based on her 20 years of experience, Dona Vitale outlines:-- Characteristics needed by consumer insights specialists-- Techniques that help develop the insights-- Presentation tips to help a whole company get on board with new ideas.Ms. Vitale also presents an enlightening case study from Dunkin' Donuts brand that makes it crystal clear how consumer insights can contribute to bottom line success.If you would like to be the market leader in your category or your company, this book will guide you every step of the way.
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.
The Machine Age of Customer Insight demonstrates the impact of machine learning and data analytics, combining an academic state-of-the-art overview of machine learning with cases from well-known companies. These cases show the opportunities and challenges of the transformation process for business and for customer insights more specifically.
For instance, why do consumers repeatedly purchase a particular brand or, in some cases, why do they switch from one product to another? In this compact, concise and profusely illustrated text, Professor Majumdar, with his rich and varied experience in Marketing, tries to provide interesting insights into some of these and other interesting questions about consumer behaviour. He gives a masterly analysis of the theory and practice of consumer behaviour and decision making and the factors that influence it. Divided into six parts, Part I of the text shows the importance of understanding consumer behaviour; Part II highlights different aspects of consumer psychology and covers such topics as consumer motivation, consumer perception, and consumer personality. Part III demonstrates how consumers behave in their social and cultural settings, the effect of personal factors, and the influence of reference groups on consumer behaviour. Part IV dealing with consumer decision making describes the various stages involved in brand choice, the post-purchase behaviour and, importantly, the six well-established models proposed by scholars on consumer behaviour. Part V analyzes the diversity of the Indian market and about the emerging patterns of consumer behaviour.
Use Product Analytics to Understand Consumer Behavior and Change It at Scale Product Analytics is a complete, hands-on guide to generating actionable business insights from customer data. Experienced data scientist and enterprise manager Joanne Rodrigues introduces practical statistical techniques for determining why things happen and how to change what people do at scale. She complements these with powerful social science techniques for creating better theories, designing better metrics, and driving more rapid and sustained behavior change. Writing for entrepreneurs, product managers/marketers, and other business practitioners, Rodrigues teaches through intuitive examples from both web and offline environments. Avoiding math-heavy explanations, she guides you step by step through choosing the right techniques and algorithms for each application, running analyses in R, and getting answers you can trust. Develop core metrics and effective KPIs for user analytics in any web product Truly understand statistical inference, and the differences between correlation and causation Conduct more effective A/B tests Build intuitive predictive models to capture user behavior in products Use modern, quasi-experimental designs and statistical matching to tease out causal effects from observational data Improve response through uplift modeling and other sophisticated targeting methods Project business costs/subgroup population changes via advanced demographic projection Whatever your product or service, this guide can help you create precision-targeted marketing campaigns, improve consumer satisfaction and engagement, and grow revenue and profits. Register your book for convenient access to downloads, updates, and/or corrections as they become available. See inside book for details.
This book uses stories and case studies from several industries to show how companies can rethink their customers, products and services, marketing, competition, and even their culture. The goal is a positive customer relationship that results in revenue growth, product innovation, and employee engagement.
Big Data collected by customer-facing organisations – such as smartphone logs, store loyalty card transactions, smart travel tickets, social media posts, or smart energy meter readings – account for most of the data collected about citizens today. As a result, they are transforming the practice of social science. Consumer Big Data are distinct from conventional social science data not only in their volume, variety and velocity, but also in terms of their provenance and fitness for ever more research purposes. The contributors to this book, all from the Consumer Data Research Centre, provide a first consolidated statement of the enormous potential of consumer data research in the academic, commercial and government sectors – and a timely appraisal of the ways in which consumer data challenge scientific orthodoxies. Praise for Consumer Data Research 'An insightful, state-of-the-art guide into the social and commercial value of applying geographical thinking to the study of consumer data.' Professor Richard Harris, University of Bristol 'An excellent guide to leveraging the value of academic research on valid data. Partnerships based around consumer data should be encouraged and supported by all and their outputs used to better the way we manage the world we live in.' Bill Grimsey, retailer and author of The Vanishing Highstreet 'The use of data from everyday consumer transactions is a potential game-changer for understanding economic and social patterns and trends. This is an excellent overview of the field.' Dr.Tom Smith, Managing Director, Office for National Statistics Data Science Campus
At its core, consumer insights research is fun. Fast paced, creative, and exciting, working in this field means constant interaction and engagement with people, concepts, and ideas. The work is dynamic and intellectually challenging, celebrating innovative approaches that lead to unique explanations of and solutions for important problems. Whether you are working on a media product or a strategic communication campaign, successfully reaching your audience and meeting your objectives requires good research. The Consumer Insights Handbook flips the typical model presented in mass communication research textbooks to emphasize that data should be used to understand people as thoughtful, deliberative audiences. As such, research should be done with the goal of better understanding target audiences in a meaningful way. With this orientation in mind, these insight-driven research projects allow media practitioners and strategic communication professionals to tap into audiences’ wants, needs, and desires through messaging and products designed to resonate. Guided by the author’s own experience in the field as well as guidance from current practitioners on the client, boutique, and agency sides, this book offers an accessible, thorough, and compelling perspective on how to plan for and complete consumer insights research projects from the initial RFP to the final presentation of findings. Each chapter includes a guide for how to conduct in-class research, quotes and recommendations from experts in the field, and case studies and real-world examples.