Consumer Behaviour and Analytics
Consumer Behaviour and Analytics

Author: Andrew Smith

Publisher: Taylor & Francis

Published: 2023-11-08

Total Pages: 231

ISBN-13: 1000982998

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

Marketing Analytics
Marketing Analytics

Author: José Marcos Carvalho de Mesquita

Publisher: Routledge

Published: 2021-11-01

Total Pages: 224

ISBN-13: 1000481743

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Marketing Analytics provides guidelines in the application of statistics using IBM SPSS Statistics Software (SPSS) for students and professionals using quantitative methods in marketing and consumer behavior. With simple language and a practical, screenshot-led approach, the book presents 11 multivariate techniques and the steps required to perform analysis. Each chapter contains a brief description of the technique, followed by the possible marketing research applications. One of these applications is then used in detail to illustrate its applicability in a research context, including the needed SPSS commands and illustrations. Each chapter also includes practical exercises that require the readers to perform the technique and interpret the results, equipping students with the necessary skills to apply statistics by means of SPSS in marketing and consumer research. Finally, there is a list of articles employing the technique that can be used for further reading. This textbook provides introductory material for advanced undergraduate and postgraduate students studying marketing and consumer analytics, teaching methods along with practical software-applied training using SPSS. Support material includes two real data sets to illustrate the techniques’ applications and PowerPoint slides providing a step-by-step guide to the analysis and commented outcomes. Professionals are invited to use the book to select and use the appropriate analytics for their specific context.

Business and Consumer Analytics: New Ideas
Business and Consumer Analytics: New Ideas

Author: Pablo Moscato

Publisher: Springer

Published: 2019-05-30

Total Pages: 1000

ISBN-13: 3030062228

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This two-volume handbook presents a collection of novel methodologies with applications and illustrative examples in the areas of data-driven computational social sciences. Throughout this handbook, the focus is kept specifically on business and consumer-oriented applications with interesting sections ranging from clustering and network analysis, meta-analytics, memetic algorithms, machine learning, recommender systems methodologies, parallel pattern mining and data mining to specific applications in market segmentation, travel, fashion or entertainment analytics. A must-read for anyone in data-analytics, marketing, behavior modelling and computational social science, interested in the latest applications of new computer science methodologies. The chapters are contributed by leading experts in the associated fields.The chapters cover technical aspects at different levels, some of which are introductory and could be used for teaching. Some chapters aim at building a common understanding of the methodologies and recent application areas including the introduction of new theoretical results in the complexity of core problems. Business and marketing professionals may use the book to familiarize themselves with some important foundations of data science. The work is a good starting point to establish an open dialogue of communication between professionals and researchers from different fields. Together, the two volumes present a number of different new directions in Business and Customer Analytics with an emphasis in personalization of services, the development of new mathematical models and new algorithms, heuristics and metaheuristics applied to the challenging problems in the field. Sections of the book have introductory material to more specific and advanced themes in some of the chapters, allowing the volumes to be used as an advanced textbook. Clustering, Proximity Graphs, Pattern Mining, Frequent Itemset Mining, Feature Engineering, Network and Community Detection, Network-based Recommending Systems and Visualization, are some of the topics in the first volume. Techniques on Memetic Algorithms and their applications to Business Analytics and Data Science are surveyed in the second volume; applications in Team Orienteering, Competitive Facility-location, and Visualization of Products and Consumers are also discussed. The second volume also includes an introduction to Meta-Analytics, and to the application areas of Fashion and Travel Analytics. Overall, the two-volume set helps to describe some fundamentals, acts as a bridge between different disciplines, and presents important results in a rapidly moving field combining powerful optimization techniques allied to new mathematical models critical for personalization of services. Academics and professionals working in the area of business anyalytics, data science, operations research and marketing will find this handbook valuable as a reference. Students studying these fields will find this handbook useful and helpful as a secondary textbook.

Consumer Data Research
Consumer Data Research

Author: Paul Longley

Publisher: UCL Press

Published: 2018-04-30

Total Pages: 198

ISBN-13: 1787353885

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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

Marketing Analytics
Marketing Analytics

Author: Mike Grigsby

Publisher: Kogan Page Publishers

Published: 2018-04-03

Total Pages: 241

ISBN-13: 0749482176

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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.

Neuromarketing and Big Data Analytics for Strategic Consumer Engagement: Emerging Research and Opportunities
Neuromarketing and Big Data Analytics for Strategic Consumer Engagement: Emerging Research and Opportunities

Author: de Sousa, Joana Coutinho

Publisher: IGI Global

Published: 2017-12-30

Total Pages: 211

ISBN-13: 1522548351

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A new sub-area of marketing is emerging called neuromarketing. It combines psychology, neuroscience, and economics with the study of consumer motivations. This is leading to the creation of new technological approaches that enable companies to read the customer's mind and tailor marketing practices, products, and services. Neuromarketing and Big Data Analytics for Strategic Consumer Engagement: Emerging Research and Opportunities provides emerging information on the issues involved in the field of neuromarketing, including models, technologies, and the methodology of this field. Highlighting the intricacies of neuroscience, biometrics, multimedia technology, marketing strategy, and big data management, this book is an ideal resource for researchers, neuroscientists, marketers, suppliers, customers, and investors seeking current research on the integration of new neuromarketing trends and technologies.

Pricing, Online Marketing Behavior, and Analytics
Pricing, Online Marketing Behavior, and Analytics

Author: G. Viglia

Publisher: Palgrave Pivot

Published: 2015-10-09

Total Pages: 0

ISBN-13: 9781349489886

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Over the past few decades marketing practices have shifted with the sudden growth of social media and the proliferation of devices, platforms, and applications. This rapidly changing environment presents new opportunities and challenges for marketers, who need to stay up to date with the development of e-marketing. Viglia instructs readers in the theories and practices of online marketing;, detailing the characteristics, consumer behaviors, and differences between platforms, analytics, and pricing strategies of new media. Pricing, Online Marketing Behavior, and Analytics covers many different aspects of how online marketing works and its continuous evolution. Case studies and examples are used throughout the book to outline theories and explain e-marketing characteristics in a practical way.

Consumer Behavior and Insights
Consumer Behavior and Insights

Author: Diane Phillips

Publisher: Oxford University Press, USA

Published: 2020

Total Pages: 592

ISBN-13: 9780190857134

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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.

Customer Analytics For Dummies
Customer Analytics For Dummies

Author: Jeff Sauro

Publisher: John Wiley & Sons

Published: 2015-02-02

Total Pages: 336

ISBN-13: 1118937597

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The easy way to grasp customer analytics Ensuring your customers are having positive experiences with your company at all levels, including initial brand awareness and loyalty, is crucial to the success of your business. Customer Analytics For Dummies shows you how to measure each stage of the customer journey and use the right analytics to understand customer behavior and make key business decisions. Customer Analytics For Dummies gets you up to speed on what you should be testing. You'll also find current information on how to leverage A/B testing, social media's role in the post-purchasing analytics, usability metrics, prediction and statistics, and much more to effectively manage the customer experience. Written by a highly visible expert in the area of customer analytics, this guide will have you up and running on putting customer analytics into practice at your own business in no time. Shows you what to measure, how to measure, and ways to interpret the data Provides real-world customer analytics examples from companies such as Wikipedia, PayPal, and Walmart Explains how to use customer analytics to make smarter business decisions that generate more loyal customers Offers easy-to-digest information on understanding each stage of the customer journey Whether you're part of a Customer Engagement team or a product, marketing, or design professional looking to get a leg up, Customer Analytics For Dummies has you covered.

Advanced Customer Analytics
Advanced Customer Analytics

Author: Mike Grigsby

Publisher: Kogan Page Publishers

Published: 2016-10-03

Total Pages: 264

ISBN-13: 0749477164

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Advanced Customer Analytics provides a clear guide to the specific analytical challenges faced by the retail sector. The book covers the nature and scale of data obtained in transactions, relative proximity to the consumer and the need to monitor customer behaviour across multiple channels. The book advocates a category management approach, taking into account the need to understand the consumer mindset through elasticity modelling and discount strategies, as well as targeted marketing and loyalty design. A practical, no-nonsense approach to complex scenarios is taken throughout, breaking down tasks into easily digestible steps. The use of a fictional retail analyst 'Scott' helps to provide accessible examples of practice. Advanced Customer Analytics does not skirt around the complexities of this subject but offers conceptual support to steer retail marketers towards making the right choices for analysing their data. Online resources include a selection of datasets to support specific chapters.