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The ability to predict consumer choice is a fundamental aspect to success for any business. In the context of artificial intelligence marketing, there are a wide array of predictive analytic techniques available to achieve this purpose, each with its own unique advantages and disadvantages. Artificial Intelligence Marketing and Predicting Consumer Choice serves to integrate these widely disparate approaches, and show the strengths, weaknesses, and best applications of each. It provides a bridge between the person who must apply or learn these problem-solving methods and the community of experts who do the actual analysis. It is also a practical and accessible guide to the many remarkable advances that have been recently made in this fascinating field. Online resources: bonus chapters on AI, ensembles and neural nets, and finishing experiments, plus single and multiple product simulators.
Economic science or economic art methods predict consumer behaviorEconomic is both a science and art. Economic is considered as science because systematic knowledge derived from observation, study and experimentation. An art is the practical application of knowledge for achieving definition ends. A science teaches us to know a phenomenon and art traches us to do a thing. How to apply economic science or art method to predict consumer behavior? for example, there is a inflation US this year. This information is derived from positive science. The government takes certain fiscal and monetary measures to bring down to general level of prices in the country. The study of the monetary measures to bring down inflation makes the subject of economics as an art. Hence, as this case, if US government applies economic science or art method to predict this year will have inflation in US, then US government will attempt to avoid social general product prices to be raised, due to inflation influence. It aims to avoid US consumers reduce consumption desire in this year.For another example, nothing could be more useful than water. But in much of the world waste is plentiful enough that another glass more or less matters little to a fresh water supply agent businessman. So, water is chap. But, if any offices buy bottle of glass fresh water to let employees to drink. It will bring advantages that they do not spend time to buy water to drink when they are working in the office time in any offices as well as employees do not need to heat water to drink to waste time to work in offices. So, the bottle of fresh drinking water supply agent is one kind of drinking water product monopoly fresh drinking water supplier to supply fresh drinking water to satisfy office employees who do not need to spend time to heat water to drink in offices. Hence, it is possible that replace other different kind taste of drink or office employees themselves heat water drink in offices. It is general office employees' drinking habits and drinking choice in offices popularly. So, the bottle of fresh drinking water supply agents will concentrate on selling their fresh drinking water to office employee customers only in global fresh drinking water consumption target market. The office employees must be fresh drinking water companies' main target consumers.What is economic laws qualitative or quantitative method to predict consumer behavior? Law of economic are qualitative in nature. They are not exactly stated in quantitative terms. They tell the direction of change which is expected rather than the amount of change. For example, according to the law of consumer demand, the quantity demanded varies inversely with price, We don't say that 10% rise in price will lead to 30% fall in the customers' quantity demand.What is economic merits of deduction method? This method is near to reality. It is less time consuming and less expensive. the use of mathematical techniques in deducing theories of economics brings exactness and clarity in economic analysis. The deductive method is highly abstract. It require a great deal of care to avoid bad logic or faulty economic reasoning. This method makes conclusions to predict consumer behavior, due to reliance on imperfect and correct assumptions. It involves the process of reasoning from particular facts to general principle on the basic of experimentations, observations and statistical methods. In this method, data is collected about a certain economic phenomenon. There are systematically arranged and the general conclusions are drawn from them.What are the advantages of inductive method to predict consumer behavior? It is based on facts as such the method is realistic. In order to test the economic principles, method makes statistical techniques. The inductive method is therefore more reliable, inductive method is dynamic
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.
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.
Artificial Intelligence: A Modern Approach offers the most comprehensive, up-to-date introduction to the theory and practice of artificial intelligence. Number one in its field, this textbook is ideal for one or two-semester, undergraduate or graduate-level courses in Artificial Intelligence.
How to apply media economic methods to predict media consumer's psychology? Some media economists believe the market structure-conduct performance model is as a tool for analysis, it has been widely used in the study of media markets and industries, such as book publishing industry. How to choose the attractive topic for every book product structure? They believe attractive book structure will help book structure firm to grow reader numbers. So, book topic and content factor is more influential to raise reader number more than cheaper book price sale factor.In its most simply for the industries organizational model indicates that of the structure of the market is known, it allows explanation of the likely conduct and performance among firms. For example, in terms of market structure, the variables used for analysis include the numbers of sellers/buyers, e.g. US publishing book market number of US book reading publishers/number of US book publishing sellers every year in US book publishing market; product differentiation, e.g. US different topic and content of electronic book or paper book product ; barriers to entry, e.g. economic recession, tariff book import tax, limitation of import book number etc. different external barriers factors to influence overseas ( foreign) book publishing import to US to sell their paper books ; cost structures, e.g. US book publishing firms need to spend how much printing expenditure to print high quality paper production of every paper book to sell and the degree of vertical integration, e.g. US book publishing firms how to choose middlemen to help them to sell books, e.g. themselves book publishing shops, other book retailers, themselves electronic book publishing website online platform sale channel or other book publishing sellers' websites online platform sale channel etc. different channels to sell the paper of electronic books to US readers. Hence, predicting the country' book market structure, it will have more confidence to evaluate book publishing competitors' effort and book sale price and how to design book content and topic to raise reading quality to let readers to feel much attractive to choose to buy the books from the book publishing shop.Media economics research is in the sense that many different types of methods are used to answer research questions and investigate hypotheses. However, many economists accept to choose to apply any one of methods to predict media reader behavior, such as trend studies, financial analysis, econometrics and case studies.Trend studies compare and contrast data over a time series. In assessing media concentration. Most trend studies use annual data as the unit of analysis. Trend studies are useful, due to their descriptive nature and ease of presentation and they aid in analyzing the performance of media companies and industries, e.g. study of changes in newspaper pricing and subscription costs.Financial analysis is another common methodological tool used in media economics research. Financial analysis can take many different forms and use different types of data. The most common data include information derived from financial statements and the use of various types of financial ratio.Econometrics involves the use of statistical and mathematical models to verify and develop economic research questions, hypotheses and theory.Case studies represent another useful method in media economics research. Case studies are popular because they allow a researcher to gather different types of data as well as different methods. Case studies in media economics research tend to be very targeted and focused examinations.
This monograph discusses the central role that artificial intelligence and machine learning can play as a research method in the marketing field. The goal of this monograph is to provide marketing with an overview of ML and to analyze required learning, applications, and future developments involved in applying ML to marketing.
AI and Algorithmics have already optimized and automated production and logistics processes. Now it is time to unleash AI on the administrative, planning and even creative procedures in marketing, sales and management. This book provides an easy-to-understand guide to assessing the value and potential of AI and Algorithmics. It systematically draws together the technologies and methods of AI with clear business scenarios on an entrepreneurial level. With interviews and case studies from those cutting edge businesses and executives who are already leading the way, this book shows you: how customer and market potential can be automatically identified and profiled; how media planning can be intelligently automated and optimized with AI and Big Data; how (chat)bots and digital assistants can make communication between companies and consumers more efficient and smarter; how you can optimize Customer Journeys based on Algorithmics and AI; and how to conduct market research in more efficient and smarter way. A decade from now, all businesses will be AI businesses – Gentsch shows you how to make sure yours makes that transition better than your competitors.
Quantitative consumer research has long been the backbone of consumer psychology producing insights with peerless validity and reliability. This new book addresses a broad range of approaches to consumer psychology research along with developments in quantitative consumer research. Experts in their respective fields offer a perspective into this rapidly changing discipline of quantitative consumer research. The book focuses on new techniques as well as adaptations of traditional approaches and addresses ethics that relate to contemporary research approaches. The text is appropriate for use with university students at all academic levels. Each chapter provides both a theoretical grounding in its topic area and offers applied examples of the use of the approach in consumer settings. Exercises are provided at the end of each chapter to test student learning. Topics covered are quantitative research techniques, measurement theory and psychological scaling, mapping sentences for planning and managing research, using qualitative research to elucidate quantitative research findings, big data and its visualization, extracting insights from online data, modeling the consumer, social media and digital market analysis, connectionist modeling of consumer choice, market sensing and marketing research, preparing data for analysis;, and ethics. The book may be used on its own as a textbook and may also be used as a supplementary text in quantitative research courses.
Forecasting deals with the uncertainty of the future. To be effective, forecasting models should be timely available, accurate, reliable, and compatible with existing database. Accurate projection of the future is of vital importance in supply chain management, inventory control, economic condition, technology, growth trend, social change, political change, business, weather forecasting, stock price prediction, earthquake prediction, etc. AI powered tools and techniques of forecasting play a major role in improving the projection accuracy. The software running AI forecasting models use machine learning to improve accuracy. The software can analyse the past data and can make better prediction about the future trends with higher accuracy and confidence that favours for making proper future planning and decision. In other words, accurate forecasting requires more than just the matching of models to historical data. The book covers the latest techniques used by managers in business today, discover the importance of forecasting and learn how it's accomplished. Readers will also be familiarised with the necessary skills to meet the increased demand for thoughtful and realistic forecasts.