Journal Issues

Abstract 

 “Marketing is becoming a battle based more on information than sales power-Philips Kotler”. Information and reliable data form the bedrock of any management decision. They also form the basis for all the diagnostic and prognostic efforts of managers. From a marketing stand point, problems can only be anticipated, identified, analyzed and resolved or prevented if accurate and reliable, relevant information can be obtained promptly from both internal and external sources. This overriding importance of marketing information is so obvious that every trained marketing manager or executive makes deliberate and sustained efforts to generate, analyze and use reliable marketing related information. Keeping track of your competition and the state of your industry is an integral part of operating any business. Traditionally, that information has been termed "market intelligence." In recent years, however, the practice of collecting market intelligence has expanded to include analysis and analytics that can help you improve your business model and projections. Marketing intelligence (MI) is the everyday information relevant to a company’s markets, gathered and analyzed specifically for the purpose of accurate and confident decision-making in determining market opportunity, market penetration strategy, and market development metrics. Marketing intelligence is necessary when entering a foreign market. Marketing intelligence systems are designed to be used by marketing managers and often viewed by employees throughout an organization. Notable systems on the market include Contify, Leadtime, Pardot, Marketo, and HubSpot. They may have user interfaces that closely resemble consumer software than the software around individual data sources, which are designed for use by analysts. Keywords: Marketing Intelligence, Business Strategy, MNC, Small Companies.

Abstract
Digital Marketing Intelligence (DMI) is the everyday information relevant to a company’s markets, gathered and analyzed specifically for accurate and confident decision-making in determining market opportunity, market penetration strategy, and market development metrics. Marketing intelligence is necessary when entering a foreign market. Marketing intelligence software can be deployed using an on-premises or software-as-a-service (SaaS, or cloud-based) model. These systems take data from disparate data sources, like web analytics, business intelligence, call center, and sales data, which often come in separate reports, and put them into a single environment. To collect marketing intelligence, marketing managers must be in constant touch with relevant books, newspapers, and trade publications. They must talk to various stakeholders like customers, distributors, and suppliers. In addition to this, they must also monitor social media and carry out online discussions. Marketing managers can design reports that correlate and visualize data coming from a variety of departments and sources (even, in some cases, external data), ―The capture, management, and analysis of customer data to deliver a holistic view of the digital customer experience that drives the measurement, optimization, and execution of digital customer interactions.
Keywords: Digital Marketing Intelligence

Abstract
The buying behavior of eco-friendly products is increasing rapidly nowadays. This is because of environmental concerns among the people. The present study is to investigate consumer awareness and perception towards eco-friendly products among youngsters in Salem. Primary and secondary data are used in the study. The data is been collected from 150 youngsters in Salem by using a random sampling technique. The study reveals consumers' awareness level of eco-friendly products and perception of eco-friendly products. The study discusses the strategy to find the original eco-friendly products for consumers and factors to be followed for a positive perception of eco-friendly product sellers.
Keywords: Awareness, Perception, Eco-friendly products, consumer.

Abstract
This is a period which are bound to a lot of changes driven by digitization, information and communication technology, artificial intelligence, machine learning in the field of marketing. Traditional marketing is shifting to digital marketing enabled with the help of AI and machine learning. Customer consuming behaviour has changed from traditional in-store shopping to online shopping which has increased the need for digital marketing. Marketing Intelligent Approach is a cutting edge for marketing management support system to deal with knowledge by machine learning and other soft computing techniques. The range of potential applications of machine learning techniques in marketing management are consumer behavior, optimization of product market structure, managing the market mix, strategic marketing, finance domain etc. Describes the synergy between marketing and intelligent systems, especially machine learning techniques. Interactive promotion is a matching field for marketing; where intelligent systems can be applied. The above description suggests us that marketing is a multifaceted field of decision making. Marketing decision is a combination of judgments and analysis which involves a huge degree of intuition in which knowledge and expertise are required to take decision, therefore here Artificial Intelligence (AI) can play an important role. The large volume of transaction and demographic data enables business analytics, AI, and machine learning to analyze and interpret customer behavior to improve customer satisfaction and enhance sales and hence profit. For example, predictive analytics uses different combination to predict the relationship between results and variables and to identify data patterns . Marketers use various techniques to analyze the data trends in order to perfectly predict customer consumption preferences. Therefore now With the help of AI and , marketers can now automated and a simpler method for the pattern searching and identify different processes to enable personalized and one-to-one digital marketing to deliver individualized according to the preferences and product offerings to existing and new customers. This paper will focus on AI and machine learning effort on digital marketing and customer behavior. And will examine how marketers are improving on the capabilities of AI and machine learning to ascertain the customer behaviour and improve their sales by offering one-to-one digital marketing, and increase customer satisfaction. Studying the impact of AI and machine learning on digital marketing and customer behavior is of great significance to the marketing and sales industry.
Keywords: Digital marketing, consumer behavior, artificial intelligence, increase sales

Abstract
Retailers reach out to customers and build awareness by providing more impersonalized, in-store retail sales promotion techniques to increase sales. The analysis was made for the socio-economic profile of the respondents for purchase of FMCG at supermarkets. Various sales promotional tools like price off, Buy one get one free, coupons, bonus packs, and point of purchase which were implemented for FMCG during the study in the supermarket were conducted. The study is focused on the effect of short-period sales promotion strategies on FMCG. If the retailers have to encourage the customers they have to set effective strategies to create positive attitudes and create awareness about various in-store retail sales promotions. Primary data were collected from 104 respondents using an interview schedule at a supermarket in Coimbatore city. Data were collected from customers who have purchased from supermarkets at the exit point. The collected data were analyzed using descriptive statistics and Garrett’s ranking technique was used. The study showed that the sales promotion strategies increased the buying quantity of the consumers.
Keywords: Buy one get one free, Bonus pack, Coupons, Price off, Point of purchase, Sales promotion

Abstract
Psychological Well-being (PWB) is a broad and dynamic construct that deals with social and subjective dimensions of human psychology as well as health-related issues and behaviors. It is very painful to register that only a few of the entrepreneurs of higher educational institutions understand the stress levels of the highly valuable teachers they employ and provide a window for stress relaxation or relieving their stress levels. A stressful teacher always prefers to leave the job, retaining valuable and resource-rich teachers has been a daunting job for the higher educational institution managers and entrepreneurs functioning in India. Prevailing situations i.e., the state of helplessness cause the teachers stress and it directly affects their psychological, physical, and mental in term of well-being. At this juncture, the higher educational institution function in India i.e., managers and entrepreneurs have to offer a friendlier, more supportive, and progressive at same time learning cum updating environment to ensure positive performances and maintain the utmost psychological well-being of the teachers. As the society can flourish only if a good teachers exist in a society.
Keywords: Psychological Well-being, Social Well-Being, Stress, Higher Education Teachers

Abstract 
This study focuses on the buying behaviour of customers of phygital stores in Coimbatore city. Phygital stores refer to those kinds of stores which exist on two mediums such as online store and as well as physical retail stores. The phygital stores that are taken into this study are Nykaa, FirstCry.com, Archies, Odyssey, Reliance Trends, and Lifestyle. The objective of this study is to know about the customers regarding their buying behaviour at phygital stores, along with the factors influencing them to buy from the phygital stores. This study is limited only to Coimbatore city; hence the results and conclusions cannot be generalized. The respondents may not be true in the survey process due to personal bias so the accuracy of the conclusions may differ. The results of the study can be used by phygital retailers to attract new customers and as well as to retain their existing customers.
Keywords: Customer Buying Behaviour, Factors Influencing, Phygital Stores.

Abstract
In India, the shopping environment has been changed from the primitive or the unorganized retail shops to the modern day’s online stores. It has been observed that the consumer purchasing decision changes in the shopping environment. As the retail environment is experiencing a huge change with the introduction of new formats and the entry into online retail industry by the global investors there is a huge scope for research and analysis and thus it is necessary to understand the buying decision of the consumers in such an environment. The purpose of the present study was to investigate the impulse purchase decision of the Indian shoppers when they visited the online stores. The major objectives of this study are to find out factors that influence buying decision of products through online. Data was collected using questionnaire method from 300 online buyers living in Tiruchirappalli, Tamilnadu, India. The results of this study provided an in-depth understanding of the online shopping value and how the factors influenced the consumers. The findings also provided an important understanding the impact of factors (Personal, Cultural, Social, Psychological, subjective, objective: Price, Product quality and Credibility) on overall satisfaction of online buying. As this study is exploratory in nature, certain limitations are identified and based on that suggestions are offered for future research.
Keywords: Online Shopping, Online Buyers, Purchase decision, Overall Satisfaction.