Customer Analytics: High-impact Strategies – What You Need to Know: Definitions, Adoptions, Impact, Benefits, Maturity, Vendors

Customer Analytics: High-impact Strategies – What You Need to Know: Definitions, Adoptions, Impact, Benefits, Maturity, Vendors

This book is your ultimate resource for Customer Analytics. Here you will find the most up-to-date information, analysis, background and everything you need to know. In easy to read chapters, with extensive references and links to get you to know all there is to know about Customer Analytics right away. A quick look inside: Customer analytics, Consumer behaviour, The 3/50 Project, Affluenza: The All-Consuming Epidemic, Angel and demon customers, Animal spirits (Keynes), Anti-consumerism, Attitude-toward-the-ad models, Behavioral Clustering, Buyer decision processes, Buyer’s remorse, Buzz monitoring, Canadian Index of Consumer Confidence, Center for a New American Dream, Cocooning, Communal marketing, Communal shopping, Compliance professional, Conjoint analysis (healthcare), Conjoint analysis (marketing), Conspicuous conservation, Conspicuous consumption, Consumer capitalism, Consumer confidence, Consumer culture theory, Consumer ethnocentrism, Consumer revolution, Consumer socialization, Consumerism, Consumption maps, Consumption smoothing, Convenience, Creative Consumers, Cumulative prospect theory, Customer engagement, Customer lifetime value, Customer retention, Customer satisfaction, Decoy effect, Demographic profile, Demographics, Denomination effect, Ernest Dichter, Diderot effect, Domestication theory, Double jeopardy (marketing), Ethical consumerism, Geodemography, Green Gifting, Gruppi di Acquisto Solidale, Health consumerism, Hoarding, Homo consumericus, Household production function, Impulse purchase, Incentive program, Intent scale translation, Internality, Intertemporal choice, Local purchasing, Loss aversion, Market discipline, Market run, Marketing buzz, MaxDiff, Media Engagement Framework, Mobile anthropology, Mociology, Murketing, Net Promoter, Opinion leadership, Optimal discriminant analysis, The Paradox of Choice: Why More Is Less, Perceptual mapping, Post-consumerism, Post-purchase rationalization, Preadolescence, Predictive buying, Preference regression, Preference-rank translation, Prospect theory…and Much, Much More! This book explains in-depth the real drivers and workings of Customer Analytics. It reduces the risk of your technology, time and resources investment decisions by enabling you to compare your understanding of Customer Analytics with the objectivity of experienced professionals.