LuluLemon's Instragram strategy: a qualitative content analysis using uses and gratifications theory

Social Networking Sites (SNSs) have become increasingly integral to corporate marketing in recent years. Instagram is a newer platform that corporations have added to their digital media marketing presence. The aim of this MRP is to investigate Lululemon Athletica’s presence on Instagram by examining the specific techniques they employ to satisfy users’ Uses and Gratifications. 10 Lululemon Instagram posts were sampled for this study. From these posts, the first 50 comments were collected and coded using Whiting and Williams’ (2013) coding schema. This study highlights the value in (1) brands sharing useful brand and product-related information, and (2) interacting with consumers by responding to their comments and posing Socratic questions to spur dialogue and further engagement.

LuluLemon's Instragram strategy: a qualitative content analysis using uses and gratifications theory

Social Networking Sites (SNSs) have become increasingly integral to corporate marketing in recent years. Instagram is a newer platform that corporations have added to their digital media marketing presence. The aim of this MRP is to investigate Lululemon Athletica’s presence on Instagram by examining the specific techniques they employ to satisfy users’ Uses and Gratifications. 10 Lululemon Instagram posts were sampled for this study. From these posts, the first 50 comments were collected and coded using Whiting and Williams’ (2013) coding schema. This study highlights the value in (1) brands sharing useful brand and product-related information, and (2) interacting with consumers by responding to their comments and posing Socratic questions to spur dialogue and further engagement.

Complexity Construction of Intelligent Marketing Strategy Based on Mobile Computing and Machine Learning Simulation Environment

Mankind’s research on marketing has a history of hundreds of years, and it has been fruitful in continuous summary and research. Now the theory of marketing has gradually penetrated into the minds of every company and even individual. A successful marketing strategy is the inevitable result of scientific planning and effective implementation. However, the current marketing strategy has gradually failed to meet the needs of corporates. In order to find the best solution for corporate marketing strategy, we built a simulation environment based on mobile computing and machine learning and compared the differences by simulating several companies of the same size in this city (corporate efficiency and revenue and expenditure under the marketing strategy). The results of the study found that intelligent marketing based on machine learning is more suitable for enterprises than general marketing strategies. The efficiency of enterprises has increased by about 20%, and the income of enterprises has increased by more than 30% compared with traditional marketing strategies. This shows that the intelligent marketing strategy based on mobile computing and machine learning to build a simulated environment plays an extremely important role in the peculiarities.

DEVELOPMENT OF CORPORATE MARKETING COMMUNICATION (CMC) BRANDING MODEL IN IAIN TULUNGAGUNG: TOWARD THE ERA OF WORLD CLASS UNIVERSITY

The study describes and analyzes the use of corporate marketing communication strategies towards Higher Education at the international level. This study used a qualitative descriptive method, with the research site at IAIN Tulungagung. The research subjects are members of the academic community, teaching staff, education staff and stakeholders. The research period was for the 2018/2019 academic year. The results showed that the typology of the marketing or promotion model used collaboration between internal parties (academics, stakeholders) and external parties (institutions, channel partners, media, government, industrial bodies and institutions, the educational community and the general public). Its implementation uses corporate advertising, sponsorship, sales presentations, online activities, branding, corporate advertising, press releases, press conferences, events, and awards. The study implications deal with the increase in: (1) Higher Education Identity, Image, Reputation; (2) Higher Education Social Responsibility (CSR); (3) media relation effectiveness; (4) more efficient marketing communications; (5) the more intensive Internal Communication System; (6) investor relation improvement; (7) conducive relations with the Government, and (8) the reliability in overcoming crisis communication. These have an impact on improving the quality of IAIN Tulungagung toward the level of International Higher Education.

Analysis on the Problems and Countermeasures of Enterprise Relationship Marketing

Under the current economic situation, companies should fully realize the importance of relationship marketing, establish good and stable relationships with all related parties, strengthen exchanges and cooperation with each other, achieve win-win benefits, and promote corporate marketing activities. For the success of the company, we will conduct in-depth investigations in the economic market, improve the products in time, and make plans based on the current development situation.

MANAGEMENT OF CORPORATE MARKETING COMMUNICATIONS AND THEIR BUDGET

The article develops the topic of management of corporate marketing communications, taking into account modern conditions and new trends. The author examines the problems associated with communication strategies for various groups of clients, as well as with the assessment of their costs. Approaches to the formation of a communications budget based on a number of factors are proposed, including the goals, objectives of the communication strategy, as well as the stages of the life cycle of a product and an organization. The structure of communication costs by type and place of origin is proposed, ways of their reduction and optimization are described.

LSTM-BASED AUTOMATED LEARNING WITH SMART DATA TO IMPROVE MARKETING FRAUD DETECTION AND FINANCIAL FORECASTING

This proposed model is based on a deep recurrent neural network trained with Long Short- Term Memory Network (LSTM), used because of its ability to learn long term dependencies, taking the concatenated function and Financial data as input, while integrating encapsulations, using Smart Data and retrieving information by combining multiple search results (all the Web). It combines representation training with financial data while integrating encapsulations from multiple sources and retrieving information by combining multiple search results. It provides some good ideas that we have extended to improve Corporate Marketing and Business Strategies. We show that the proposed model learns to localize and recognize different aspects of Corporate Marketing and Business Strategies. We evaluate it on the challenging task of detecting Fraud in Financial Services and Financial Time Series Forecasting and show that it is more accurate than the state-of-the-art of other neural networks and that it uses fewer parameters and less computation.