Data Mining for Enterprise Digital Marketing

Data Mining for Enterprise Digital Marketing

With the popularity of broadband Internet and the booming development of network technology in recent years, the traditional marketing is also gradually moving to digital marketing. The dissemination of information through the internet is different from traditional marketing. In today’s competitive market, there are various products made by enterprises, how to stand out in a highly competitive environment, and how to go with marketing tactics and product through the product advertising to cause high degree of customer purchase intentions and interests effectively, is one of the important keys. Furthermore, due to the international business environment and intense competition, it is necessary to response and satisfies market and customer demand immediately, and use information technology to assist enterprises in doing business marketing. Therefore, in order to grasp market characteristics and consumer preferences to select the appropriate products marketing strategies. In this study, the structure of digital marketing is proposed aims to provide the enterprise relevant marketing information, to identify appropriate marketing practices of market segment, and thus to achieve the majority of the responses or purchase intention in marketing effectiveness.Digital Marketing Company Kumbakonam

Digital marketing The digital marketing means using digital technology-related media as a new advertised pattern of marketing channel [10]. “Marketing” is the most important thing in the digital marketing; “digital” is only one of the pipelines of marketing. This new type of digital marketing, prompting business must rethink from the perspective of between businesses and consumers enables new contact and interaction. The key consideration of our study is that the emergence of digital marketing can cause the following two changes in the business marketing: zReduce the costs of making advertising: By using information technology and internet data transmission, through interactive media let marketing information can provide more user-friendly interactions. The production costs may even lower than film ad-films. zNarrow the distance between the consumers: The use of computer equipment can be closer relationships with consumers, and improve customer loyalty or more value-added services for consumers. The channel intermediation opportunities for new distributors ocreate more marketing channels [1]. Overall, digital marketing is the product of the relevant information to the digital model to be suitable for packaging, maybe an e-mail, receive SMS at PDA and mobile phones, Website pages and even social network service, blog, chat rooms, digital interactive TV platforms etc., digital marketing can be a performance stage. B.Internet marketing Internet marketing is that enterprises use internet as marketing communications channels and media to provide substantial product information to enable customers to carry out the whole process of Internet shopping, including product introduction, advertising, market investigation, real-time ordering, and online payment, etc. [3,7]. Purpose is to promote enterprise, to introduce products and services for consumer, the most important is prompted us to approach the target groups and target customers to establish business contact. Since the rise of the Internet, Internet marketing has always been the best marketing tool for SMEs. Methods commonly used in the Internet marketing including: search keyword advertising, affiliate marketing, SEO (Search Engine Optimization) keyword ranking, a lot of e-mail marketing, viral marketing, blog marketing, video marketing and social network advertising, etc. Those methods provide customers with product sales and services, and combination the company’s overall marketing plan, to attract customers to use the Internet get information and purchase products

  Data Mining for Enterprise Digital Marketing

Data Mining Data surveying is also known as data mining. It is a way to find potential, effective, and the information with unknown characteristics or association in large number of data. The mining results can provide valuable reference information and use as enterprises engaged in marketing mix and market forecasting activities [2]. According to the difference between analysis methods and discover results, mining techniques can be divided into Classification Analysis, Clustering Analysis, Association Rule Analysis, Sequential Pattern Analysis and Link Analysis, etc [4]. Data mining is one of the steps of the KDD (Knowledge Discovery in Databases). The purpose of data mining is to identify cost-effective, novel, potentially useful information data and understanding the patterns of information [5,6]. However, data mining technology is already quite mature and extensive. Those industries with value and demand data warehouse or database, all can use data mining to analyze. The common applications are retail, direct marketing, finance insurance, medical services and other applications [9].

At first, according to the products information, previous marketing experience or data, the study analyzes the marketing strategy during the selection process of the marketing; then finds the useful, unobvious or ineffective methods of marketing. Moreover, the results will be selected, mixed and saved into the marketing database then the information of marketing activities are presented. Finally, the research bases on market response, consumer behavior, click-through rate and other feedback mechanisms to transform that information into required information then send to the database for storage thought data pre-processing. The study provides not only an advantageous way to find marketing strategies but also an effective way to transform the feedback mechanisms. It makes marketing more instantaneous and effective. In the future, the proposed framework of the digital marketing to do more depth study and do the related research from a variety of digital marketing point of view will be attention. https://arudhrainnovations.com/

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