Traditional Marketing Model Research Articles

Dignified Branding and Its Role in the Cryptomarket

The advent of decentralized digital economies, particularly in the cryptomarket, necessitates new and ethical marketing approaches that prioritize transparency, trust, and long-term value. Dignified Branding (DB), a concept introduced by Mandeep Gupta, proposes a revolutionary shift away from the traditional commission-driven network marketing model by focusing on community-driven, volunteer-based product promotion. This paper examines the core principles of Dignified Branding and its potential impact on the cryptomarket. The absence of financial incentives, commissions, and competitive influences in DB creates a novel approach, one that aims to build trust, promote education, and ensure that the entire community benefits rather than individual investors.

Innovative Research on Enterprise Marketing Strategies under the Background of New Media

Marketing is one of the comprehensive development strategies for production-oriented and service-oriented enterprises, and it is also an effective path to increase income and revenue for enterprises. By operating and selling the main products, services, cultural concepts, and many more of the enterprise in a market-oriented manner. We aim to deepen the impression of the enterprise among consumers, enhance its market influence, and seek more opportunities for cooperation and development for the enterprise. However, with increasingly fierce market competition, traditional marketing models are no longer able to maximize their effectiveness. This article firstly analyzes the positive impact of new media background on enterprise marketing in expanding the scope of information release, improving marketing targeting, and creating new marketing platforms. Secondly, it explores the problems faced by enterprises in the current marketing process, such as outdated ideological concepts, insufficient team building, and rigid marketing content. Finally, strategies such as updating marketing concepts, strengthening team building, and innovating marketing content were proposed to provide some reference and inspiration for enterprises to smoothly promote marketing work under the background of new media.

Comparing the New Media Marketing Models with the Traditional Marketing Models

Marketing has always been one of the most important keys to business success. With the development of society, market competition is becoming more and fiercer, and enterprises have deeper requirements for marketing. The traditional marketing model has been unable to satisfied all the demands of enterprises. The rapid development of new media in recent years has also given birth to a series of new marketing models. This paper mainly analyzes and compares two marketing models, the traditional marketing model and the new marketing model, and draws a conclusion that the new marketing model is more effective. This new marketing model is more helpful to help enterprises achieve the ideal sales target, and is also more effective for far-reaching development of companies' brands. This paper can help people clearly understand the differences between these two marketing models.

Integration of Artificial Intelligence with Web3 technologies for Affiliate Marketing: Review and Analysis

This article explores affiliate marketing integration with AI and Web3 technologies, providing a comprehensive analysis of their individual and combined potential to revolutionize the digital marketing landscape. Starting with defining the core components, the article sets a foundation for understanding how AI and Web3 can synergistically enhance affiliate marketing strategies. The paper proceeds with a detailed overview of traditional affiliate marketing models, highlighting their evolution in response to technological advances and changing market dynamics. The article further examines the global landscape of affiliate marketing, presenting current statistics and trends that underscore its economic significance. A focused discussion on AI technologies pertinent to affiliate marketing reveals how machine learning, natural language processing, and predictive analytics can optimize performance and decision-making processes. The role of Web3 is examined by its ability to introduce decentralized, transparent, and secure elements into affiliate marketing, suggesting a shift towards more user-centric models. Finally, the potential of combining AI with Web3 is discussed, illustrating how this convergence can lead to innovative marketing strategies that are more effective and uphold higher standards of integrity. This synthesis aims to illuminate how modern technologies can be harnessed to foster a new digital marketing era.

Graph Convolutional Spectral Clustering for Electricity Market Data Clustering

As the power grid undergoes transformation and the Internet’s influence grows, the electricity market is evolving towards informatization. The expanding scale of the power grid and the increasing complexity of operating conditions have generated a substantial amount of data in the power market. The traditional power marketing model is no longer suitable for the modern power market’s development trend. To tackle this challenge, this study employs random forest and RBF models for processing electricity market data. Additionally, it explores the synergy of graph convolutional network and spectral clustering algorithms to enhance the accuracy and efficiency of data mining, enabling a comprehensive analysis of data features. The experimental results successfully extracted various electricity consumption features. This approach contributes to the informatization efforts of power grid enterprises, enhances power data perception capabilities, and offers reliable support for decision makers.

Marketing Strategy of the Coffee Industry under High Saturation of Globalized Brands-Take Luckin Coffee as an Example

With the arrival of the "Internet +" era, the marketing mode of coffee products is also undergoing constant changes, and the rise of the "new retail" sales model has brought great impact and challenges to the traditional marketing model. This paper will take the typical representative of this business model, Luckin Coffee, as an example, using qualitative research, STP theory, marketing theory, and the case study method to analyze. The article mainly discusses how to utilize and innovate the existing competitive advantages and business model of Luckin coffee, by analyzing and evaluating the strengths, weaknesses, threats, and challenges of Luckin coffee's pricing strategy, product strategy, and promotional strategy to realize precision marketing, introduce the relevant information and some marketing strategies of Starbucks, and borrow from Starbucks' strengths in product marketing, to propose solutions to the the current marketing state of Luckin Coffee: Customer-oriented, while focusing on product differentiation, and through effective "online + offline" publicity to achieve precision marketing and help the coffee industry diversify and develop sustainably under the high saturation of global coffee brands.

The Characteristics of Enterprise Brand Marketing in the New Media Era

With the advent of the new media era, new media technology has been gradually integrated into the marketing communication strategy, and for the brand marketing of enterprises, communication development has created new opportunities to expand the new development space. In the face of various apps such as Tiktok, YouTube, Instagram, etc., which are produced under the background of new media, the brands of various enterprises have also produced new marketing and communication methods. The emergence of new media technology makes the traditional communication strategy can no longer meet the enterprise brand publicity, enterprises need to penetrate the market to achieve higher visibility must be adapted to the new development trend, change the traditional marketing model and innovation. This paper starts from the enterprise brand, analyzes the characteristics of enterprise brand marketing communication in the context of the new media era and then elaborates on a series of problems in the process of enterprise brand communication and puts forward effective measures to help the brand to innovate the marketing mode and enhance the visibility in the new media era.

Exploration on the Transformation of Retail Finance Marketing from “Sitting Business” to “Traveling Business” in Commercial Banks —Take the “Pop-up Shop” Model of C Bank Pedestrian Street as an Example

“Sitting business” and “traveling business” are two commonly used modes in marketing practice. “Sitting business” refers to waiting for customers to come to the door, is a kind of signboard and business name to attract customers of the marketing model, such as the commercial street store model, its business characteristics and competitiveness are mainly reflected in the attractiveness of products and the quality of service in the hall. “Merchant” refers to proactive marketing customers, and now refers more to product promotion and branding based on planning and packaging, as well as marketing personnel to communicate and interact with customers outside the business premises to expand product influence and market share. It is generally believed that sitting merchants are a conventional, traditional and inefficient marketing model compared to merchants. In the operation of modern enterprises, due to the increasingly fierce market competition, the transformation from “sitting business” to “traveling business” has become the consensus of business managers, and the awareness and ability of business are gradually becoming the core competitiveness of modern enterprise marketing.The operation mode of traditional bank branches is more of a passive waiting for customers to come to the door and accept the business needs of customers, reflecting the concept of “sitting in business”. With the sudden rise of Internet finance, which has had a huge impact on traditional banking business, the banking industry has realized that there may be a “last mile” shortcoming in physical outlets in financial services, and narrowing the distance between bank outlets and customers is more about “going out”, such as developing community banks, carrying out door-to-door marketing, expanding business districts, etc., mining customer needs outside bank outlets, building “scenario-based” finance, and constantly trying to change the business model from “sitting business” to “ traveling business”.

Big Data-Driven Cross-Border E-commerce Platform Operation Strategy Based on Data Mining

Abstract In the context of the big data era, cross-border e-commerce enterprises are confronting significant challenges. The traditional marketing model finds it challenging to adapt to the evolving needs, making precision marketing for cross-border e-commerce platforms particularly crucial. This paper, based on the big data-driven path of operating cross-border e-commerce platforms, designs the operation strategy of these platforms from the perspective of precision marketing and empirically analyzes its impact. The RFM model is first used to design user value labels, and the K-means algorithm then uses the clustered labels. Combined with mining the three types of key data—user basic attributes, user value labels, and user consumption behaviors—of Company A’s Amazon store to construct user profiles, analyze them, and further design precise marketing strategies based on user profiles and analyze their effects, This paper classifies customer groups into three categories: high-value premium types, dynamic premium types, and growth types. High-value, quality customers account for most of Company A’s business, and through personalized marketing, their sales show a certain growth trend. Vitality-quality customers stimulate the desire to buy by recommending new products and activating old ones, and their sales increased to $32,527 in the fourth quarter. The impact of growth-type customers using consumption coupons and discount codes to stimulate consumption and purchases is flat, with no significant growth. This indicates that the operation strategy in this paper is more obvious and can be used as a precursor for further optimization.

Research and Effectiveness Evaluation of Word-of-Mouth Marketing Strategies Based on Social Media

The rapid development and popularization of mobile internet technology have changed the way information is obtained and communicated. Various social media and e-commerce websites have emerged one after another, providing convenience for the public to participate in online comments and creating a good communication environment for Internet Word of Mouth (IWOM). Social networks are either a brand new internet application, a revolutionary way of information exchange, or a disruptive business model, but they are also a powerful booster for integrating the virtual world of the internet with the real world of humanity. Word of mouth (WOM) communication on social media has the characteristics of anonymity, fast communication efficiency, and rich communication forms, as it is utilized by many enterprises as a marketing model with low investment and high returns. Using social media platforms for word-of-mouth marketing (WoM) has advantages that traditional marketing models cannot match, but it also brings challenges to enterprises. This article constructs an optimization model for e-commerce WoM strategy based on social media and demonstrates the existence of the optimal solution. Analyzed the advantages of using social media for WoM and provided relevant marketing strategies, hoping to provide reference for relevant researchers.

Analyzing the Marketing Strategy Model for L'Occitane

People are paying more attention to body skin care as the economy and society develop, and the demand for body care products is increasing. At the same time, with the continuous progress of Internet technology, China ushered in the "traffic era". Various social platforms play an important role in users' use of the Internet, so the traffic-guided marketing strategy has huge value in the market. This paper applied Marketing Mix theory and SWOT analysis, combined with the actual situation of the L'Occitane brand, through the analysis of the brand's marketing status and existing problems from four aspects: product strategy, price strategy, channel strategy, and promotion strategy, to analyze the shortcomings of L 'Occitane traditional marketing model. The new marketing strategy of L'Occitane and its similar skin care products in the age of traffic is proposed. This paper put forward specific measures for L'Occitane and similar skin care products to cope with the new marketing model in the traffic era from the aspects of paying attention to the traffic promotion on social media platforms and expanding the scope of skin care products publicity.

Research on the Operation Mode Innovation of E-commerce Enterprises Based on Consumer Demand Take JD as an Example

With the wide application of electronic products around the world, the form of e-commerce has changed the traditional consumption mode very quickly. The traditional marketing model is no longer suitable for the rapid development of domestic e-commerce platforms, and the marketing methods of e-commerce platforms have undergone tremendous changes, evolving from extensive marketing to precise centralized marketing. This has changed consumers shopping habits. The e-commerce model not only meets the shopping needs of consumers, but also greatly promotes social and economic development. At the same time, the operating e-commerce industry will also face great competitive pressure, so it is very necessary to have a mature and effective enterprise marketing strategy. The research topic of this article is develop excellent e-commerce marketing strategies, and take JDs successful e-commerce marketing strategy as an example to introduce. The conclusion is that the unique advantages of ultra-fast logistics, a high-quality warranty, and cash-on-delivery service make JD a global e-commerce giant. Precision marketing not only helps China's e-commerce platforms improve their marketing capabilities and enhance their market competitiveness, but also helps precision marketing expand to other e-commerce models. This article will combine precision marketing theory, and optimize the marketing strategy of JD mall, hoping to providereference value for other enterprises in the same type of e-commerce field to implement precision marketing processes.

New Marketing Model of Fashion Luxury Industry --- Metaverse Marketing

Metaverse, a concept that brings together highly sophisticated technologies from several major fields, is essentially a virtual, digitized process of the real world. It has received attention from people from all walks of life in the past years. Many fashion luxury brands have also seized this opportunity to innovate a new marketing model - metaverse marketing which has created many benefits for brands, including increased media exposure and public attention, as well as rejuvenation and deepening of the brand's premium image in ways that traditional marketing models could never achieve. Simultaneously, due to the scientific and technological limitations and legal restrictions related to metaverse, brands face many risks in metaverse marketing. Therefore, in this process, the luxury industry needs to always keep the marketing concept with consumers as the core, cooperate with technically mature enterprises for the development of technological products, and also develop diversified marketing plans to optimize the use of metaverse marketing to serve brand building on the basis of not damaging consumers' interests and destroying their own brand positioning.

Research on the Impact and Optimization of Industrial Structure Adjustment on Marketing Strategy of Financial Institutions in the Digital Economy Era

The role of marketing strategy in the industrial structure adjustment and development of financial institutions in the era of the digital economy has changed marketing strategy and made the industrial structure adjustment of financial institutions in the era of the digital economy a hot spot. However, in the process of changing the marketing strategy of financial institutions, there are problems such as poor marketing concepts, weak online sales capabilities, network data analysis, and small mining volume. The main reason is that the traditional marketing model does not use information management technology to restrict the development of financial institutions. Therefore, this paper proposes a marketing method based on information management technology to plan the marketing strategies of financial institutions with different networks. First, phyton software is used to collect financial institutions' marketing data from the Guoan Tai database in 2018~2022, and according to the collected data of 33 financial institutions for analysis. Then, the judgment of marketing strategy is based on information management technology to improve the accuracy of financial institutions' selection of marketing strategy. The adjustment results show that under the background of the digital economy, information technology can improve the marketing strategy selection of financial institutions, promote the optimization of marketing strategies of financial institutions, and respond to the requirements of the financial market. Information technology can improve the accuracy and effect of marketing strategy selection of financial institutions, making its accuracy greater than 90%, which is significantly better than 80% of the manual identification method. At the same time, information technology can improve the recognition rate of marketing strategy, which is more than 80%, and provide support for the formulation of marketing strategy. Therefore, under the condition of a digital economy, industrial structure has a significant impact on the marketing strategy of financial institutions, while information technology methods can identify strategic indicators, improve the effect and accuracy of strategy formulation, and promote the development of financial institutions.

Analysis on the Marketing Advantages of Customized Jewelry under the Background of Internet +

The market competition of commodities is becoming more and more fierce, and the growth of network provides consumers with more choices, which brings great convenience to people's life and work. In the big environment, the marketing of enterprises is inseparable from the Internet. The rapid popularization of the Internet has greatly changed people's consumption concepts and habits. The result of this rapid development is that e-commerce enterprises have no output matching the scale, and their ability to fight against changes in economic forms is weak, as well as in the jewelry field. As a brand-new modern marketing method, online marketing is a supplement to the traditional jewelry marketing model. It is undoubtedly the best way to deal with the impact by combining online marketing with jewelry industry. This paper analyzes the necessity of changing the marketing strategy of customized jewelry under the background of "Internet +", expounds the advantages and challenges of customized jewelry marketing activities under the background of "Internet +", and finally puts forward the main measures for jewelry enterprises to carry out marketing activities under the background of "Internet +".

A two-stage prediction model based on behavior mining in livestream e-commerce

Livestream e-commerce has been developing at a tremendous pace in recent years. On livestream platforms, such as Douyin, a retailer attracts viewers into the live room through short video advertising, and then streamers promote and sell products in real time. In such a scenario, an accurate prediction of traffic and sales plays an essential role in operation management, including live content strategy and inventory control. However, complex behaviors (follow, share, comment, etc.) of users and long conversion paths (from seeing the advertisement to entering the live room, and to purchasing the goods) lead to poor performance of traditional prediction methods. Additionally, few studies focus on advertising information in evaluating live room performance. Therefore, we propose a two-stage learning model for traffic and sales prediction based on behavior mining, which combines marketing models and deep learning methods. In the first stage, we integrate user behaviors before getting into the live room with short video advertising data for traffic prediction. In the second stage, based on the traditional marketing model, AIDA (Attention-Interest-Desire-Action), we design a funnel convolutional neural network (FCNN) to learn sophisticated behaviors in the live room in both time and behavior orientations, and take the predicted traffic volume as the auxiliary information for sales prediction. Extensive experiments on real-world datasets from Douyin illustrate the efficacy of our proposed method, which shows the value of fusing marketing models with deep learning techniques. Furthermore, the in-depth analysis provides practical insights into user behaviors for livestream e-commerce.

Research on Perfect Diary Product Features and The Choice of Advertising Media

By studying this topic, we can find from the business data of Perfect Diary that China’s local make-up brands have encountered unprecedented development challenges and opportunities. As a new make-up brand, Perfect Diary not only leads similar domestic brands but also breaks the traditional brand marketing model. With the advent of the era of big data, how Perfect Diary is launched and promoted on social media and various platforms is worth studying and learning. During the investigation, this paper used the following methods: Case study, Literature research, and Comparative analysis. And this paper summarizes the brand a few points: Industry Status, Behavioral characteristics of consumers, Consumer Characteristic Analysis, and Problems with Perfect Diary. Through the discussion, this paper finds the loopholes in the brands that are operated through self-media today. Moreover, this paper also finds solutions to the existing problems, which is also the key to promoting the development of the media industry.

Specific Strategies for Innovating Marketing Models of E-commerce Enterprises in the Internet Era

With the rapid iteration of information technology, the internet age has changed people's way of life. Network platforms have become an important component of people's leisure, entertainment, work and other activities. Therefore, e-commerce has been widely applied and developed, which has a lot of impact on people's consumption patterns. Compared to traditional consumption models, the online era provides a more convenient mode for consumer shopping. Online shopping solves the limitations of time and space, providing consumers with a convenient and fast shopping experience. Therefore, traditional marketing models under modern technology are no longer suitable for the requirements of e-commerce enterprises, and exploring innovative marketing models has become a key issue restricting the development of e-commerce enterprises. Based on the current development status of e-commerce, this article analyzes and studies the impact of the new e-commerce environment on the marketing of e-commerce enterprises in the network era. Based on the challenges faced by e-commerce enterprise marketing model innovation in the network era, specific strategies for e-commerce enterprise marketing model innovation in the network era are proposed, in order to provide certain assistance for the development of e-commerce enterprises.

Research on Film Short Video Marketing Strategy from the Perspective of the New Marketing Theory of 4C

Short video is a new symbol of information dissemination in the era of mobile Internet. The rapid development of mobile Internet is changing people’s lives but also changed the traditional marketing model In the process of the development of the mobile Internet, it catered to the present audience fragmentation reading habits, make the participatory culture fans interaction in the process of movie marketing. Nowadays, the short video led by TikTok has become the standard distribution of film marketing in China, and the content and form are constantly innovative. Based on the New 4C Marketing theory, this paper starts with the special attributes and marketing strategies of short video in combination with China's national conditions and specific cases, and analyzes and explores this short video marketing model. It then obtains the reasons and strategies for the good effect of short video in China at present.

The Myth of STEPP Model: Based on A Framework of Dyson

The Internet is leading the era of virtual economy, the traditional marketing model based on publicity and promotion is gradually showing many drawbacks, and the network marketing represented by viral marketing is gradually becoming the mainstream model, which can have a subtle impact on consumer behavior. Accordingly, this has put forward requirements for the innovation of enterprise marketing models and methods. This paper uses viral marketing theory as the basis of research, and combines a renowned business framework, Dyson Co., Ltd, and this research aims to deliver readers a fundamental view of novel marketing strategies to have products or ideas go viral even though the traditional marketing strategy is classic and wise, it does not meet temporary market demands enough.