Marketing Information And Artificial Intelligence Customer Psychological Predictive

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What Are Marketing Information and Artificial Intelligence Customer Psychological Predictive

Author : Johnny Ch Lok
Publisher : Independently Published
ISBN 13 : 9781793171849
Total Pages : 254 pages
Book Rating : 4.1/5 (718 download)

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Book Synopsis What Are Marketing Information and Artificial Intelligence Customer Psychological Predictive by : Johnny Ch Lok

Download or read book What Are Marketing Information and Artificial Intelligence Customer Psychological Predictive written by Johnny Ch Lok and published by Independently Published. This book was released on 2019-01-04 with total page 254 pages. Available in PDF, EPUB and Kindle. Book excerpt: (AI) digital data gather technology predicts food consumer behavior's main barriersWhat are the main barriers to food industry? When the food manufacturer applies (AI) big data gather technology to predict food consumer behavior? The barriers include that the food manufacturer / provider needs to decide whether when the right time is applied to the right (AI) digital big data prediction tool channel to find the right food consumers to be chose to full food consumption satisfactory questionnaires, how to gather multi-class food consumption classifiers on real-world food consumers transactional data from the food sale domain consistently to show the critical numbers of different kinds of food items at which the predictive performance most accurate? So, any food manufacturer / provider's advanced in (AI) digital data gather warehousing and management technologies can provide that opportunities for food business to enhance long term relationship with the food providers' clients. However, food industry's (AI) digital data gather aims to improve food customer product targeting, increase food customer loyalty and food purchase probability to the food supplier. To effective identify, understand and satisfy the needs of their food customers, the food suppliers need to develop the right (AI) digital questionnaire questions and find the right food customers to fill every right questions from every digital questionnaire at the right time through the right channel. Above of all these, they will be the barriers when one food supplier expects its (AI) digital data gather questionnaires which can conclude the most accurate prediction concerns any kinds of consumer food product choices. So, such as (AI) digital data prediction model, it is needed to incorporate into the food market segmentation, food customer targeting, and food challenging decisions with the goal of maximizing the total food customer lifetime. For example, (AI) big data gather transaction data is reasonable and accurate for building predictive models. Transaction data can be electronically collected and readily made available for data mining in lot quantity at minimum extra costs.Suggestion to apply (AI) prototypes of food customer profiles method to predict food customer behavioral changes. Prototypes of food customer profiles mean to be extracted from the discovered bins and multi-class classifies models are built using those prototypes. The learned models can than be used to predict the class of food customer profiles ( e.g. restaurants, school canteens, supermarkets etc. food suppliers) based on their food purchases. The approach is validated on the case study of a food retail and food service company operating in food and beverages market.So, a food customer profile, it is a description (AI) data gather tool will record every of food customer using available information, which help in understanding their background and food consumption behavior. (AI) data gather tool can well develop every food customer profile, every food customer data is essential in food market analysis as they aid food suppliers in saving time and money by highlighting the real potential food consumers whose needs are to be met rather a range of individuals.So, (AI) data gather tool can record every food consumer profile and every can be factual or behavioral food consumption. A factual food customer profile consists of a set of characteristics for (AI) big data gather record, e.g. demographic information, such as food customer name, gender, birth date, when a behavioral food customer profile consists of what the food customer is actually doing and is usually derived from (AI) digital transactional data gather record.

Artificial Intelligence Customer Psychological Predictive Method: Appies to Marketing Information Gathering

Author : Johnny Ch Lok
Publisher : Independently Published
ISBN 13 : 9781794466005
Total Pages : 254 pages
Book Rating : 4.4/5 (66 download)

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Book Synopsis Artificial Intelligence Customer Psychological Predictive Method: Appies to Marketing Information Gathering by : Johnny Ch Lok

Download or read book Artificial Intelligence Customer Psychological Predictive Method: Appies to Marketing Information Gathering written by Johnny Ch Lok and published by Independently Published. This book was released on 2019-01-20 with total page 254 pages. Available in PDF, EPUB and Kindle. Book excerpt: 2.2How can apply (AI) digital channel to predict consumer behaviors?(AI) digital channel can be applied to help businesses to evaluate whether how much the product price is the most attractive to persuade consumers feel it is the most reasonable price to sell. It helps consumers to feel which brands of products which ought change the price to let consumers to choose to buy the brand of product. It can be applied to predict whether how many consumer numbers can be increased or decreased when the brand of product's price is variable. It aims to give opinions to help any brand of product manufacturers or sellers to judge whether which price is the most reasonable to let consumers to accept to choose to buy the brand of product in popular.Thus, (AI) price measurement technology can be preference to be applied online communication ecommerce and mobile phone internet platform aspect. As businesses can enter their past products prices data and past customer number data into computer or mobile. Then, (AI) price measurement technology can gather these data to analyze these product prices and past customer number to compare their prices variable changing range level to find their price variable difference to measure to make conclusion about every product's price variable changing will influence how many customer number increase or decrease changing to choose to sell their different kinds of products more accurate. Then, (AI) price measurement software will help them to analyze all past price variable changing data to compare whether which price range can let customers to feel it is more reasonable and attractive to influence them to choose to buy the product among different brands of product choice.Because any product's price is one important factor to influence consumers to choose to buy the product, instead of quality, durability, shape, appearance, color, brand familiarity etc. factors. Any online businesses with a focus on Asia should considerate (AI) customer care, and virtual shopping experience, whereas is Europe and North America still value face-to-face and/or real human interaction over (AI) or virtual worlds.

Marketing Information and Artificial Intelligence Customer Psychological Predictive

Author : Johnny Ch LOK
Publisher :
ISBN 13 : 9781795405935
Total Pages : 253 pages
Book Rating : 4.4/5 (59 download)

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Book Synopsis Marketing Information and Artificial Intelligence Customer Psychological Predictive by : Johnny Ch LOK

Download or read book Marketing Information and Artificial Intelligence Customer Psychological Predictive written by Johnny Ch LOK and published by . This book was released on 2019-01-29 with total page 253 pages. Available in PDF, EPUB and Kindle. Book excerpt: 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.

Marketing Information Prediction and Artificial Intelligence Customer Psychological Prediction

Author : Johnny Ch Lok
Publisher : Independently Published
ISBN 13 : 9781793961815
Total Pages : 254 pages
Book Rating : 4.9/5 (618 download)

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Book Synopsis Marketing Information Prediction and Artificial Intelligence Customer Psychological Prediction by : Johnny Ch Lok

Download or read book Marketing Information Prediction and Artificial Intelligence Customer Psychological Prediction written by Johnny Ch Lok and published by Independently Published. This book was released on 2019-01-12 with total page 254 pages. Available in PDF, EPUB and Kindle. Book excerpt: (AI) digital data gather technology predicts food consumer behavior's main barriersWhat are the main barriers to food industry? When the food manufacturer applies (AI) big data gather technology to predict food consumer behavior? The barriers include that the food manufacturer / provider needs to decide whether when the right time is applied to the right (AI) digital big data prediction tool channel to find the right food consumers to be chose to full food consumption satisfactory questionnaires, how to gather multi-class food consumption classifiers on real-world food consumers transactional data from the food sale domain consistently to show the critical numbers of different kinds of food items at which the predictive performance most accurate? So, any food manufacturer / provider's advanced in (AI) digital data gather warehousing and management technologies can provide that opportunities for food business to enhance long term relationship with the food providers' clients. However, food industry's (AI) digital data gather aims to improve food customer product targeting, increase food customer loyalty and food purchase probability to the food supplier. To effective identify, understand and satisfy the needs of their food customers, the food suppliers need to develop the right (AI) digital questionnaire questions and find the right food customers to fill every right questions from every digital questionnaire at the right time through the right channel. Above of all these, they will be the barriers when one food supplier expects its (AI) digital data gather questionnaires which can conclude the most accurate prediction concerns any kinds of consumer food product choices. So, such as (AI) digital data prediction model, it is needed to incorporate into the food market segmentation, food customer targeting, and food challenging decisions with the goal of maximizing the total food customer lifetime. For example, (AI) big data gather transaction data is reasonable and accurate for building predictive models. Transaction data can be electronically collected and readily made available for data mining in lot quantity at minimum extra costs.Suggestion to apply (AI) prototypes of food customer profiles method to predict food customer behavioral changes. Prototypes of food customer profiles mean to be extracted from the discovered bins and multi-class classifies models are built using those prototypes. The learned models can than be used to predict the class of food customer profiles ( e.g. restaurants, school canteens, supermarkets etc. food suppliers) based on their food purchases. The approach is validated on the case study of a food retail and food service company operating in food and beverages market.So, a food customer profile, it is a description (AI) data gather tool will record every of food customer using available information, which help in understanding their background and food consumption behavior. (AI) data gather tool can well develop every food customer profile, every food customer data is essential in food market analysis as they aid food suppliers in saving time and money by highlighting the real potential food consumers whose needs are to be met rather a range of individuals.So, (AI) data gather tool can record every food consumer profile and every can be factual or behavioral food consumption. A factual food customer profile consists of a set of characteristics for (AI) big data gather record, e.g. demographic information, such as food customer name, gender, birth date, when a behavioral food customer profile consists of what the food customer is actually doing and is usually derived from (AI) digital transactional data gather record.

Marketing Information and Artificial Intelligence Customer Psychological Predictive

Author : Johnny Ch Lok
Publisher : Independently Published
ISBN 13 : 9781795404198
Total Pages : 254 pages
Book Rating : 4.4/5 (41 download)

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Book Synopsis Marketing Information and Artificial Intelligence Customer Psychological Predictive by : Johnny Ch Lok

Download or read book Marketing Information and Artificial Intelligence Customer Psychological Predictive written by Johnny Ch Lok and published by Independently Published. This book was released on 2019-01-29 with total page 254 pages. Available in PDF, EPUB and Kindle. Book excerpt: Chapter TwoWhat is (AI) deep learning techniques to forecast environment behavioral consumptionThe (AI) deep-learning technology leads to performance enhancement and generalization of artificial intelligent technology. It influences the global leader in the field of information technology has declared its intention to utilize the deep-learning technology to solve environmental problems, such as climate change. So, it will help agriculture farming businesses can raise any plant food: vegetable, fruit, rice which grow up very easily if farmers can apply (AI) deep-learning technology to solve environment problems to influence their plant food grow. If the whole year seasonal change is very good and it is suitable for any plant food to grow in farming land easily, e.g. rain is enough and soil is enough for any plant food to grow in the farm lands. Then, fruit, rice, vegetable etc. agriculture businesses will have much beneficial attribution to global farmers. The question is how to use deep-learning technologies in the environmental field to predict the status of pro-environmental consumption. We predicted the pro-environmental consumption index based on Google search query data, using a recurrent neural network ( RNN model). To certify the accuracy of the index, we compared the prediction accuracy of the RNN model with that of the ordinary least square and artificial necessary network models. For example, the RNN model predicts the pro-environmental consumption index better than any other model. we expect the RNN model to perform still better in a big data environment because the deep-learning technologies would be increasingly as the volume of data grows. So, deep-learning technologies could be useful in environmental forecasting to prevent damage caused by climate change to influence any rice, vegetable, tomato, potato, fruit etc. different plant food grow in any countries' farming land easily.For South Korea example, over 800 government agencies spent 2.2 trillion Korea won on eco-products in 2014 year. However, green products are rarely purchased outside these agencies. This phenomenon occurs because there is a gap between consumer attitudes and behavior, that is environmental attitude is a major factor in decision making vis-a-vis the consumption of " green" food and services ( Jorea Ministry of Environment, 2015). Therefore, it is necessary to understand those consumer attitude, that will lead to sustainability-conductive behavior and consumption.2.1Environmental consumption predictionRecently, many researchers have studied pro-environmental consumption and household indexes as well as suicide rate predictions using messages posted by internet users on Google trend, Tweets etc. channel. Whether can environmental consumption be predicted by (AI) deep-learning technological internet channel? How can impact the pro-environmental consumption attitudes of green policies? Korea scientists estimated pro-environmental attitudes using search query data provided by Google trend and confirmed through regression analysis, that pro-environmental attitude has a positive correlation with the pro-environmental attitude index. They also explained that environment-friendly attitude of residents plan an important role in policy making. In the past, most household consumption indexed were calculated through surveys, but (AI) deep-learning technological tool " big data" have recently gained research attention ( Lee et al. 2016).It seems that (AI) deep-learning technology can help agricultural export countries' farmers, e.g. US, UK, Canada, New Zealand, Australia, Japan, China, India etc. they can predict environmental behavioral consumption to any rice, tomato, potato, fruit, vegetable etc. plant food consumers. The beneficial advantages to them include as below:

Is Marketing Information

Author : Johnny Ch LOK
Publisher :
ISBN 13 : 9781793108944
Total Pages : 253 pages
Book Rating : 4.1/5 (89 download)

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Book Synopsis Is Marketing Information by : Johnny Ch LOK

Download or read book Is Marketing Information written by Johnny Ch LOK and published by . This book was released on 2019-01-03 with total page 253 pages. Available in PDF, EPUB and Kindle. Book excerpt: Some economists indicate idea that seen central to the development of regional science at large and to economic geography and international trade theory. In this terms of economies of specialization increase returns to scale and in the case of regional science and economic geography, economies of localization and urbanization.The questions concern: Can choose the best business location to attract consumption growth performance? Does the best destination attract consumption growth?" Two cities attract trade from an intermediate town in the vicinity of the breaking point, approximately in direct proportion to the population of the two cities, and in inverse proportion to the squares of the distances of the intermediate town" ( Reggiani, 1998).It implies some economists believe that geographic location choice factor can influence consumption growth. It is possible due to the location has many people are living. So, it brings many business chance, or the location is one the country's main in economic development location, it can attract many travelers choose to go to the location to travel. So, it has many travelling clients to prefer to consumer.However, a smaller region can still attract consumption growth, if it had good transportation system. For example, a small region may not have its own university, but inhabitants may still have access to higher education. Elsewhere accessibility measures are also need in activity location models, where access ability is the way through which the quality of the transport system influences the land use.So, it seems although the regional land is small size and far from cities, but if it can have good transportation system to provide any people to travel the small size regional land from outside cities. It is possible to bring consumption growth. However, some economists believe that distance influence relations in economics and economic geography in two ways: first, natural resources are distributed unevenly across space and second, distance separates various activities from each other. They apply " law of demand" to support their reasons.In regional sciences, accessibility plays an important role for analyzing the distribution of economic cities and regional development. Within regional science, the attempt to predict and explain the distribution of economic activity has become known as economic geography. Research in economic geography attempt to answer the question: What forces cause geographic behavioral consumption? Some economists support the production function and into the interaction between transportation cost and plant level scale economies, this geographical factor will bring much geographical behavioral consumption. For example, accessibility of population is an indicator of market size for suppliers of products and services, whereas successful ability to GDP could be an indicator of the market size for suppliers of high level business services ( Spiekermannn and Wegener, 2007).However, some economists argue that market potential is not necessarily the actual market. For example, since a person can't make the same purchase at two different locations. Hence, they believe that is one person has make purchase in one location far from whose home. Then, if he/she find another location which is close to whose home. The, he/she must not choose to buy the same purchase again, even he/she believe the seller's shop is close to whose home location. It implies that far location is not one factor to influence consumers to choose to buy the product if the consumer lines to buy the product.

Marketing Information Prediction and Artificial Intelligence Customer Psychological Prediction

Author : Johnny Ch Lok
Publisher : Independently Published
ISBN 13 : 9781793285034
Total Pages : 254 pages
Book Rating : 4.2/5 (85 download)

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Book Synopsis Marketing Information Prediction and Artificial Intelligence Customer Psychological Prediction by : Johnny Ch Lok

Artificial Intelligence Customer Psychological Predictive

Author : Johnny Ch LOK
Publisher :
ISBN 13 :
Total Pages : 141 pages
Book Rating : 4.6/5 (719 download)

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Book Synopsis Artificial Intelligence Customer Psychological Predictive by : Johnny Ch LOK

Download or read book Artificial Intelligence Customer Psychological Predictive written by Johnny Ch LOK and published by . This book was released on 2020-08-03 with total page 141 pages. Available in PDF, EPUB and Kindle. Book excerpt: Media economic methods to predict readers' behaviors in publishing industryMedia economics the application of economic theories, concepts and principles to study the macroeconomics and microeconomic aspects of most media consumption and industries, for academic lecturers, policymakers, and industry analysts. Media economics methods include how to apply variety of methodological approaches both qualitative and quantitative methods and statistical analysis, as well as studies using financial, historical and policy driven data.Some economists define land, labor, and capital as the three factors of production and the major contributors to a nation's wealth. Can land, labor and capital be as three main factors of production any books, newspapers, magazines etc. reading products in publishing industry? Some economists believed price was determined by the costs of production, whereas marginal economists equated prices with the level of demand can be any books, magazines, newspapers etc. reading products prices is either determined by the cost of printing production or equated any one kind of these reading products with the level of reader' demand more.The marginal economists contributed the basic analytic tools of demand and supply, consumer utility and the use of mathematics as analytical tools to develop microeconomics. Can apply the basic analytic tools of reader demand and the any one kind of these reading products supply and reading consumer individual reading need, utility and the use of mathematics as analytical tools to predict any kind of reading consumer numbers and reading interesting topic choice in media industry?However, some economists also demonstrated that given a free market economy, such as in free publish industry, the factors of production ( land, labor and capital) were important in understanding the economic system. Can apply the factor of production , e.g. publishing book sale location ( land); publishing book salespeople sale experience ( labor); and attractive book printing quality (capital printing expense) to influence the publishing industry reading consumer reading habit or purchase book activities?However, some economists suggested two important contributions: Analysis of monopoly and price discrimination and the market for labor will influence consumer number. Such as publishing case: Can analysis of which famous royalty publishing book sale firm to the most monopoly and then following its different topic of books sale price to evaluate whether how much every different topic of its similar book topic sale price to be higher to avoid reduce reader numbers, due to the not famous royalty book seller which similar topic book to the famous royalty book seller's prices are too higher than the famous royalty publishers' book prices?

Enhancing and Predicting Digital Consumer Behavior with AI

Author : Musiolik, Thomas Heinrich
Publisher : IGI Global
ISBN 13 :
Total Pages : 464 pages
Book Rating : 4.3/5 (693 download)

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Book Synopsis Enhancing and Predicting Digital Consumer Behavior with AI by : Musiolik, Thomas Heinrich

Download or read book Enhancing and Predicting Digital Consumer Behavior with AI written by Musiolik, Thomas Heinrich and published by IGI Global. This book was released on 2024-05-13 with total page 464 pages. Available in PDF, EPUB and Kindle. Book excerpt: Understanding consumer behavior in today's digital landscape is more challenging than ever. Businesses must navigate a sea of data to discern meaningful patterns and correlations that drive effective customer engagement and product development. However, the ever-changing nature of consumer behavior presents a daunting task, making it difficult for companies to gauge the wants and needs of their target audience accurately. Enhancing and Predicting Digital Consumer Behavior with AI offers a comprehensive solution to this pressing issue. A strong focus on concepts, theories, and analytical techniques for tracking consumer behavior changes provides the roadmap for businesses to navigate the complexities of the digital age. By covering topics such as digital consumers, emotional intelligence, and data analytics, this book serves as a timely and invaluable resource for academics and practitioners seeking to understand and adapt to the evolving landscape of consumer behavior.

Artificial Intelligence Customer Psychological Predictive Tool

Author : Johnny Ch Lok
Publisher :
ISBN 13 :
Total Pages : 254 pages
Book Rating : 4.6/5 (46 download)

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Book Synopsis Artificial Intelligence Customer Psychological Predictive Tool by : Johnny Ch Lok

Download or read book Artificial Intelligence Customer Psychological Predictive Tool written by Johnny Ch Lok and published by . This book was released on 2020-04-27 with total page 254 pages. Available in PDF, EPUB and Kindle. Book excerpt: Can artificial intelligence be better to compare economists to judge books prices whether what level is the most influential price to raise readers purchase decision ?However, some economists also demonstrated that given a free market economy, such as in free publish industry, the factors of production ( land, labor and capital) were important in understanding the economic system. Can apply the factor of production, e.g. publishing book sale location ( land); publishing book salespeople sale experience ( labor); and attractive book printing quality (capital printing expense) to influence the publishing industry reading consumer reading habit or purchase book activities?However, some economists suggested two important contributions: Analysis of monopoly and price discrimination and the market for labor will influence consumer number. Such as publishing case: Can analysis of which famous royalty publishing book sale firm to the most monopoly and then following its different topic of books sale price to evaluate whether how much every different topic of its similar book topic sale price to be higher to avoid reduce reader numbers, due to the not famous royalty book seller which similar topic book to the famous royalty book seller's prices are too higher than the famous royalty publishers' book prices? Book salespeople individual sale experience and sale ability and book knowledge ( labor supply) influence the book publishing shop's reading clients buying decisions, such as the more experience book sellers can persuade many readers to buy the book store's books. Otherwise, the less sale experience book sellers can not persuade many readers to buy the store's books.As the found in the field of economics, it became more refined, scholars began investigate many different economic concepts and principles to predict consumers behaviors, such as media reading customer. Nowadays, the media industries provides all of the elements required for studying the economic process. Content providers can offer information and entertainment, education etc. different topic books, magazine reading products which became the media publishing suppliers. Whereas, reading consumers and media advertisers formed the demand side of the media market.

AI for Marketing and Product Innovation

Author : A. K. Pradeep
Publisher : John Wiley & Sons
ISBN 13 : 1119484065
Total Pages : 272 pages
Book Rating : 4.1/5 (194 download)

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Book Synopsis AI for Marketing and Product Innovation by : A. K. Pradeep

Download or read book AI for Marketing and Product Innovation written by A. K. Pradeep and published by John Wiley & Sons. This book was released on 2018-12-06 with total page 272 pages. Available in PDF, EPUB and Kindle. Book excerpt: Get on board the next massive marketing revolution AI for Marketing and Product Innovation offers creatives and marketing professionals a non-tech guide to artificial intelligence (AI) and machine learning (ML)—twin technologies that stand poised to revolutionize the way we sell. The future is here, and we are in the thick of it; AI and ML are already in our lives every day, whether we know it or not. The technology continues to evolve and grow, but the capabilities that make these tools world-changing for marketers are already here—whether we use them or not. This book helps you lean into the curve and take advantage of AI’s unparalleled and rapidly expanding power. More than a simple primer on the technology, this book goes beyond the “what” to show you the “how”: How do we use AI and ML in ways that speak to the human spirit? How to we translate cold technological innovation into creative tools that forge deep human connections? Written by a team of experts at the intersection of neuroscience, technology, and marketing, this book shows you the ins and outs of these groundbreaking technological tools. Understand AI and ML technology in layman’s terms Harness the twin technologies unparalleled power to transform marketing Learn which skills and resources you need to use AI and ML effectively Employ AI and ML in ways that resonate meaningfully with customers Learn practical examples of how to reinvest product innovation, brand building, targeted marketing and media measurement to connect with people and enhance ROI Discover the true impact of AI and ML from real-world examples, and learn the thinking, best practices, and metrics you need to capture this lightning and take the next massive leap in the evolution of customer connection. AI for Marketing and Product Innovation shows you everything you need to know to get on board.

Artificial Intelligence Applies to Consumer Behavioral Predictive Technology

Author : Johnny Ch LOK
Publisher :
ISBN 13 : 9781790590667
Total Pages : 553 pages
Book Rating : 4.5/5 (96 download)

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Book Synopsis Artificial Intelligence Applies to Consumer Behavioral Predictive Technology by : Johnny Ch LOK

Download or read book Artificial Intelligence Applies to Consumer Behavioral Predictive Technology written by Johnny Ch LOK and published by . This book was released on 2018-12 with total page 553 pages. Available in PDF, EPUB and Kindle. Book excerpt: Can scientific research method predict Disney visitors behavior by (AI) marketing research survey method?Using scientific research methods to predict Disney consumption behavior phenomena in this field, some experts had attempted to do research in predictive validity to evaluate whether a measure of scientific achievement to consumer behavior. There are three groups thought to have varying knowledge of and ability to predict consumer behavior are academics, marketing practitioners and consumers in general. Academic groups use their scientific knowledge of consumer behavior as a basic for such activities as teaching, consulting for corporations, and testifying in legal and regulatory proceedings. In contrast, marketing practitioners are likely to be as familiar with this scientific literature. However, practitioners gain expertise through their experience. This expertise might help them to make accurate predictions of consumer behavior. Finally, when few studies on consumer behavior reach the general public, consumer's personal experiences should help them to predict certain aspects of customer behavior. So, it seems that whether Disney ought choose to do consumer behavioral psychological method to predict consumer behavior, such as personal experiences ( psychological feeling) method is more accurate than to scientific method, such as marketing research method. In this discussion, I shall imply two hypotheses about why Disney experts ought measure consumer behavior by behavioral psychological method predictions more than scientist method, such as marketing research method . The first hypothesis, experts can make more accurate predictions than novices as well as the second hypothesis, academics can make more accurate predictions them practitioners. Thus, these hypotheses bring the questions and asked the subjects to predict whether each hypothesis tended to be true or false. For example, whether the more frequently an adolescent interacts with peers about consumption matters is the greater the tendency to use peer preferences in evaluating products? ( Moschis & Moore, 1979). Will a person be more satisfied with their recently purchased car if the car met or exceeded whose expectations? ( Westbrook 1980). Hence, using behavioral psychological prediction method , it will ask these these questions to gather the data to attempt to analyze what factors can influence whose satisfied feeling during who play any Disney entertainment facilties. These survey questions can include: Will a disney visitor feel more satisfied to play any Disney entertainment facilities with who recently visited Disney if the Disney entertainment facilities met or exceed whose expectation? Whether the more frequently Disney entertainment facilities a player with whose friends who have more satisfied feeling to play any Disney entertainment facilities to compare the less frequently Disney entertainment facilities another player alone or no any friend?A long term survey research indicated that a consumer research result for the practitioner group, who worked with marketing problems, but who were unlikely to be familiar with scientific research on consumer behavior. For example, systematic sampling was used to select 100 practitioners from the 1984 year American Marketing Association Membership Directory ( academic addresses were excluded), a self addresses envelope was enclosed in the original mailings, and two postcard reminders were sent. Replies were received from 20 academics and 13 practitioners.

The Difference Between Artificial Intelligence and Psychological Method Predicts: Consumer Behavior

Author : Johnny Ch Lok
Publisher : Independently Published
ISBN 13 : 9781720160410
Total Pages : 174 pages
Book Rating : 4.1/5 (64 download)

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Book Synopsis The Difference Between Artificial Intelligence and Psychological Method Predicts: Consumer Behavior by : Johnny Ch Lok

Download or read book The Difference Between Artificial Intelligence and Psychological Method Predicts: Consumer Behavior written by Johnny Ch Lok and published by Independently Published. This book was released on 2018-09-08 with total page 174 pages. Available in PDF, EPUB and Kindle. Book excerpt: This book has these two research questions need to be answered? (1) Can apply (AI) learning machine predict consumer behaviors? (2) Can (AI) learning machine replace human marketing research method, e.g. survey or human psychological and micro and macro economic methods to predict consumer behaviors more accurate? Nowadays, many businessmen or marketing research professional hope to apply different methods to predict consumer behaviors in order to know what will be future market activities and market changes to help them to choose to implement what kinds of marketing strategies more accurately. The methods include economic environmental change prediction method, consumer individual psychological change prediction method, micro or macro behavioral economic environmental change prediction method, marketing environmental change prediction method etc. different kinds of methods which can be applied to predict how consumer behavioral changes to influence whose behavioral consumption to the manufacturer products sale within one to two years short term or three to five years middle term, even above five years long term business plans. Hence, if the product manufacturers can apply the most suitable consumer behavioral prediction method to predict how consumers' choice will be changed to influence their products sale easily. It will have more beneficial intangible and tangible advantages to achieve the their product easier sale aim to ensure their businesses' future market share to be increased more easier to their countries' choice target sale markets. Otherwise, if they applied the inaccurate consumer behavioral prediction methods to predict how their consumers' behavioral changes wrongly. Then, it will influence their market shares to be same level, even it will decrease their market shares, when their consumer behavioral prediction inaccurately. In my this book first part, I concentrate on indicate whether any artificial intelligence (AI) tools will be one kind of good consumer behavioral prediction method to be choose to apply to predict consumer behaviors. I shall indicate some examples, cases to give reasonable evidences to analyze whether (AI) tools will be one kind suitable tool to be applied to predict when and how consumer behavioral changes. If (AI) can be one kind tool to attempt to be applied to predict when and how consumer behavioral changes. Will it replace other kinds of methods to predict consumer behaviors? Does it have weaknesses to be applied to predict consumer behaviors, instead of strengths? Can it be applied to predict consumer behaviors depending on any situations of only some situation? Finally, I believe that any readers can find answers to answer above these questions in this book. In my this book second part, I shall explain why and how human can possible apply (AI) tool to predict consumer individual emotion. I shall indicate case studies to explain how consumer individual better or worse emotion how to influence whose consumption behavior in different suitations. Finally, I shall indicate evidences to conclude how and why (AI) tool that can be used to predict consumer individual emotion and it will have direct relationship to influence consumption behavior, as well as how (AI) tool can assist businessmen to judge whether what reasons case the customer does not choose to buy its product, it is possible because the product high price factor, poor product quality or poor staff service performance or attitude etc. different factors to influence the consumer decides to choose to buy the other product consequently, when the (AI) tool can confirm consumer has good or bad emotion to judge what factors are the causes his decision making at the moment.

Artificial Intelligence and Economy and Marketing Consumer Behavioral Predictive Methods Comparision

Author : Johnny Ch LOK
Publisher :
ISBN 13 : 9781791706982
Total Pages : 555 pages
Book Rating : 4.7/5 (69 download)

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Book Synopsis Artificial Intelligence and Economy and Marketing Consumer Behavioral Predictive Methods Comparision by : Johnny Ch LOK

Download or read book Artificial Intelligence and Economy and Marketing Consumer Behavioral Predictive Methods Comparision written by Johnny Ch LOK and published by . This book was released on 2018-12-14 with total page 555 pages. Available in PDF, EPUB and Kindle. Book excerpt: How AI technology influence productivities and service performance ? Whether it can raise productivities and improve service performance?This book aims to explain why and how future artificial intelligent technology ( big data gathering method) can be applied to assit businesses to predict why and when and how consumer behavior changes. I shall explain why traditional psychological and statistic and marketing methods are applied to predict consumer behaviors, human's judgement and analytical effort will be worse to compare AI machine's judgement and analytical effort. Also, I shall indicate different business organizations why they apply AI big data gathering method to help them to design any questionnaires ( surveys) questions which will be more valid and useful to conclude human's questionnaires ( surveys) design questions method.This book has these two research questions need to be answered?(1)Can apply (AI) learning machine predict consumer behaviors?(2)Can (AI) learning machine replace human marketing research method, e.g. survey or human psychological and micro and macro economic methods to predict consumer behaviors more accurate?Nowadays, many businessmen or marketing research professional hope to apply different methods to predict consumer behaviors in order to know what will be future market activities and market changes to help them to choose to implement what kinds of marketing strategies more accurately. The methods include economic environmental change prediction method, consumer individual psychological change prediction method, micro or macro behavioral economic environmental change prediction method, marketing environmental change prediction method etc. different kinds of methods which can be applied to predict how consumer behavioral changes to influence whose behavioral consumption to the manufacturer products sale within one to two years short term or three to five years middle term, even above five years long term business plans.Hence, if the product manufacturers can apply the most suitable consumer behavioral prediction method to predict how consumers' choice will be changed to influence their products sale easily. It will have more beneficial intangible and tangible advantages to achieve the their product easier sale aim to ensure their businesses' future market share to be increased more easier to their countries' choice target sale markets. Otherwise, if they applied the inaccurate consumer behavioral prediction methods to predict how their consumers' behavioral changes wrongly. Then, it will influence their market shares to be same level, even it will decrease their market shares, when their consumer behavioral prediction inaccurately.In my this book first part, I concentrate on indicate whether any artificial intelligence (AI) tools will be one kind of good consumer behavioral prediction method to be choose to apply to predict consumer behaviors. I shall indicate some examples, cases to give reasonable evidences to analyze whether (AI) tools will be one kind suitable tool to be applied to predict when and how consumer behavioral changes. If (AI) can be one kind tool to attempt to be applied to predict when and how consumer behavioral changes. Will it replace other kinds of methods to predict consumer behaviors? Does it have weaknesses to be applied to predict consumer behaviors, instead of strengths? Can it be applied to predict consumer behaviors depending on any situations of only some situation? Finally, I believe that any readers can find answers to answer above these questions in this book.

AI Impacts in Digital Consumer Behavior

Author : Musiolik, Thomas Heinrich
Publisher : IGI Global
ISBN 13 :
Total Pages : 392 pages
Book Rating : 4.3/5 (693 download)

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Book Synopsis AI Impacts in Digital Consumer Behavior by : Musiolik, Thomas Heinrich

Download or read book AI Impacts in Digital Consumer Behavior written by Musiolik, Thomas Heinrich and published by IGI Global. This book was released on 2024-03-04 with total page 392 pages. Available in PDF, EPUB and Kindle. Book excerpt: In the ever-evolving landscape of digital innovation, businesses grapple with the challenge of deciphering dynamic consumer behavior. AI Impacts in Digital Consumer Behavior is a pioneering exploration tailored for academic scholars seeking insights into the profound influence of artificial intelligence on consumer dynamics. As businesses strive to harness the potential of data, this book serves as a beacon, offering a comprehensive understanding of the intricacies involved in tracking, analyzing, and predicting shifts in consumer preferences. This groundbreaking work not only identifies the complexities posed by the rapidly changing digital landscape but also presents a solution-oriented approach. It unveils a theoretical framework and the latest empirical research, providing scholars with a toolkit of concepts, theories, and analytical techniques. With a multidisciplinary focus on behavioral analysis, the book equips academic minds with the knowledge to navigate the challenges of the digital age. Furthermore, it addresses the ethical dimensions and ethic considerations associated with the accelerating pace of consumer behavior analysis, shedding light on the responsible use of AI technologies.

Artificial Intelligence Customer Psychological Predictive Strategies

Author : Johnny Ch LOK
Publisher :
ISBN 13 :
Total Pages : 141 pages
Book Rating : 4.7/5 (42 download)

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Book Synopsis Artificial Intelligence Customer Psychological Predictive Strategies by : Johnny Ch LOK

Download or read book Artificial Intelligence Customer Psychological Predictive Strategies written by Johnny Ch LOK and published by . This book was released on 2021-04-18 with total page 141 pages. Available in PDF, EPUB and Kindle. Book excerpt: Why do organizations need have an efficient marketing communication strategy? The reasons include that as below:In fact, customers have much choices, usually different product or service marketing places will have ( excess) oversupply of product or service to influence consumers to make careful choices to buy which brand of product or consume service in whose choice processes. So, if the brand of product or service cn build good communication relationship between itself and customers. It can influence customers to have positive emotion to choose to buy its product or consume its service. So, any organizations needs have good price, location ( place), people ( staff) strategies, it also need have good promotion (communication) strategy in order to learn how to communicate to its customers to keep close relationship and build positive emotion to let them to feel.However, the marketing communication must include these several tools for any organizations to choose which kind(s) of communication tool(s) is (are) the best tool(s) in order to be used to promote its clients efficiently. They include: Advertising, it means that controlled paid for communication, it consists of communication messages, initiated by a specific communicator in the mass media to a defined target audience. Personal selling involves interpersonal communication between sellers and buyers through personal interactions. Sales promotion concerns the free and favorable exposure of a product's benefits or value in the media, public relations can establish and maintain favorable relations between an entity and its stakeholders. So, any organization needs to choose either only use one kind of communication tool or more than one kind of communication tools in order to achieve an efficient marketing communication strategy to build positive emotion and good product or service image or familiar brand to let its potential customers to know by any above one media. Also, it implies that customers won't know or familiar to the brand more clearly if the organization had not implement any promotion tool(s) to promote its product or service to let clients to know whether its existing product or service can give what benefits to them.How to achieve an efficient marketing communication strategy? To achieve an efficient marketing communication strategy to the organization. It includes this process: It needs to identify who are its target customers ( main target customer) potential customer and prospects. Then, it needs to measure the valuation of its different groups of client ( e.g. age, sex, shopping characteristics). Next, it needs to create and deliver the right or suitable or useful or persuasive messages and incentives to let its different group clients to know what its product or service existing in its country or global market places. Next, it needs to estimate how much it can earn return on its customer investment for its future possible reward. Because it if estimated that its marketing communication expenditure can not achieve its budget return in customer investment reward. Then, it needs revise its this ( these) kind of marketing communication tool (s) whether it ( they) is ( are) useful to promote its product or service to let clients to know. Finally, it needs to implement its budgeting allocation and evaluation to review its every time marketing communication tool(s) whether is (are) achieved its original aim. If it believed or confirmed its slae result is not successful. Then, it needs to revise its marketing communication tool(S) whether they (it) is (are) the most suitable or useful one tool(s) t be used to promote to its clients in the future. Hence, the whole process of marketing communication strategy is very important to influence its sale number.

Artificial Intelligence Big Data Gathering Predicts Consumer Behavior

Author : Johnny Ch LOK
Publisher : Independently Published
ISBN 13 : 9781723836688
Total Pages : 488 pages
Book Rating : 4.8/5 (366 download)

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Book Synopsis Artificial Intelligence Big Data Gathering Predicts Consumer Behavior by : Johnny Ch LOK

Download or read book Artificial Intelligence Big Data Gathering Predicts Consumer Behavior written by Johnny Ch LOK and published by Independently Published. This book was released on 2018-09-19 with total page 488 pages. Available in PDF, EPUB and Kindle. Book excerpt: This book has these two research questions need to be answered? (1) Can apply (AI) learning machine predict consumer behaviors? (2) Can (AI) learning machine replace human marketing research method, e.g. survey or human psychological and micro and macro economic methods to predict consumer behaviors more accurate? Nowadays, many businessmen or marketing research professional hope to apply different methods to predict consumer behaviors in order to know what will be future market activities and market changes to help them to choose to implement what kinds of marketing strategies more accurately. The methods include economic environmental change prediction method, consumer individual psychological change prediction method, micro or macro behavioral economic environmental change prediction method, marketing environmental change prediction method etc. different kinds of methods which can be applied to predict how consumer behavioral changes to influence whose behavioral consumption to the manufacturer products sale within one to two years short term or three to five years middle term, even above five years long term business plans. Hence, if the product manufacturers can apply the most suitable consumer behavioral prediction method to predict how consumers' choice will be changed to influence their products sale easily. It will have more beneficial intangible and tangible advantages to achieve the their product easier sale aim to ensure their businesses' future market share to be increased more easier to their countries' choice target sale markets. Otherwise, if they applied the inaccurate consumer behavioral prediction methods to predict how their consumers' behavioral changes wrongly. Then, it will influence their market shares to be same level, even it will decrease their market shares, when their consumer behavioral prediction inaccurately. In my this book first part, I concentrate on indicate whether any artificial intelligence (AI) tools will be one kind of good consumer behavioral prediction method to be choose to apply to predict consumer behaviors. I shall indicate some examples, cases to give reasonable evidences to analyze whether (AI) tools will be one kind suitable tool to be applied to predict when and how consumer behavioral changes. If (AI) can be one kind tool to attempt to be applied to predict when and how consumer behavioral changes. Will it replace other kinds of methods to predict consumer behaviors? Does it have weaknesses to be applied to predict consumer behaviors, instead of strengths? Can it be applied to predict consumer behaviors depending on any situations of only some situation? Finally, I believe that any readers can find answers to answer above these questions in this book. In my this book second part, I shall explain why and how human can possible apply (AI) tool to predict consumer individual emotion. I shall indicate case studies to explain how consumer individual better or worse emotion how to influence whose consumption behavior in different situation. Finally, I shall indicate evidences to conclude how and why (AI) tool that can be used to predict consumer individual emotion and it will have direct relationship to influence consumption behavior, as well as how (AI) tool can assist businessmen to judge whether what reasons case the customer does not choose to buy its product, it is possible because the product high price factor, poor product quality or poor staff service performance or attitude etc. different factors to influence the consumer decides to choose to buy the other product consequently, when the (AI) tool can confirm consumer has good or bad emotion to judge what factors are the causes his decision making at the moment. Readers can understand why and how (AI) tool can be attempt to be applied to predict customer emotion and it can influence positive or negative consumption behavior to the product clearly in this part.