Social Media Marketing Strategy for Strategic Impact: MBA Leaders Transforming Business Challenges

Categories Advertising Market expansion Product or service launch Sales strategy Marketing strategy Skills planning influencer marketing tiktok collaboration market analysis marketing content creation data-driven decision making marketing strategies teamwork Details The main goal of this project is to create an AI generated social media marketing strategy for DFEnergy, an award winning Canadian healthy ginseng energy shot launching January 2024 in Canada, U.S.A and China. This will involve several different steps for the students, including: The primary objective of this 14-week capstone course is to equip University marketing students with advanced skills and strategic insights in leveraging AI for the development and execution of a comprehensive social media marketing strategy. - Analyzing our existing dataset of users, products, and reviews. - Developing an AI-powered social media marketing strategy. - Optimizing the AI-powered strategy for maximum efficiency. - Researching other variables that can improve the quality of the AI-generated strategy. - Accounting for additional variables in the AI-generated strategy. - Testing the developed strategy and making improvements based on additional data. The focal point is the launch of Canadian made and award winning healthy nutrceutical DFEnergy to a global online market place, DFEnergy was awarded Canada's most innovative health product and DansFarmaroot ultimate goal with this co-op assignment is to create a data-driven, innovative, and impactful marketing campaign. Deliverables Learners will be addressing the challenge of effectively integrating artificial intelligence into every facet of the marketing process, from market analysis to content creation and campaign optimization. The students will work with DansFarmaroot to help integrate and leverage AI tools to navigate social media marketing, ensuring the successful launch of DFEnergy. This includes Linkedin, YouTube Shorts, Instagram, FaceBook, Tik Tok and Discord By the end of this co-op programme, learners are expected to achieve the following outcomes: AI Integration Proficiency: Gain a comprehensive understanding of how AI technologies can be seamlessly integrated into marketing strategies, allowing for more precise targeting and strategic decision-making. Strategic Marketing Insights: Develop the ability to extract actionable insights from AI-generated analytics, guiding the creation of a strategically sound social media marketing campaign. Innovative Content Creation: Acquire skills in crafting innovative and engaging content with the assistance of AI tools, ensuring that the marketing campaign for DFEnergy stands out in the competitive digital landscape. Effective Influencer Collaboration: Learn to identify, evaluate, and collaborate with influencers using AI-driven metrics, enhancing the effectiveness of influencer marketing in the campaign. Data-Driven Campaign Planning: Master the art of data-driven decision-making in the planning and execution of marketing campaigns, optimizing strategies for maximum impact. Real-time Analytics Interpretation: Understand how to interpret real-time analytics data to assess campaign performance, enabling learners to make informed adjustments and optimize outcomes. Students will have access to our database and all materials needed to achieve the data required. Collaborative and Reflective Skills: Cultivate collaboration skills through group projects, fostering teamwork and collective problem-solving. Encourage reflective thinking on the integration of AI in marketing practices.

AI-Driven Inventory Demand Forecasting

DansFarmaRoot is seeking to enhance its inventory management through the implementation of AI predictive analytics. The primary goal of this project is to develop machine learning models that can accurately forecast product demand by analyzing historical sales data, market trends, and external factors such as seasonality and market conditions. By predicting future demand more accurately, DansFarmaRoot aims to optimize inventory levels, thereby reducing instances of stockouts and overstock situations. This project will provide learners with the opportunity to apply their classroom knowledge of machine learning, data analysis, and predictive modeling to a real-world business problem. The tasks will include data collection and preprocessing, model selection and training, and performance evaluation.

DFENERGY Market Entry Strategy for Hong Kong

DansFarmaRoot is planning to introduce its new energy product, DFENERGY, to the Hong Kong market. The goal of this project is to develop a comprehensive go-to-market strategy that will effectively position DFENERGY in a competitive landscape. The project will involve market research to understand consumer behavior, competitive analysis to identify key players and their strategies, and the development of a marketing plan that includes pricing, distribution, and promotional tactics. The team will need to apply their knowledge of marketing principles, international business, and consumer behavior to create a strategy that aligns with DansFarmaRoot's brand and objectives. Key tasks include: - Key Areas to Address: Consumer Behaviour : Analysis of Hong Kong’s consumers, focusing on their health, wellness, and energy-boosting habits, specifically nutraceutical products. Demand for Nutraceuticals : Evaluate current demand for nutraceuticals like DFENERGY, DFFOCUS, and DFCALM. Include market size, growth projections, and consumer needs. Regulatory Environment : Explore legal and regulatory frameworks for nutraceuticals in Hong Kong, focusing on product approval, labeling, and distribution. Marketing Strategy : Develop a detailed strategy for promoting these three products through online, retail, and influencer marketing, including cost estimates. Competitive Landscape : Identify competitors in the Hong Kong market and analyze their pricing, product lines, and market share. Distribution Channels : Explore the best channels for distribution (traditional retail and e-commerce) and partnerships with local distributors. Marketing Campaign: Explore the best channels to promote and build brand through targeted marketing campaigns.

AI Generated Social Media Marketing Strategy for DFEnergy

The main goal of this project is to create an AI generated social media marketing strategy for DFEnergy, an award winning Canadian healthy ginseng energy shot launching January 2024 in Canada, U.S.A and China. This will involve several different steps for the students, including: The primary objective of this 14-week capstone course is to equip University marketing students with advanced skills and strategic insights in leveraging AI for the development and execution of a comprehensive social media marketing strategy. - Analyzing our existing dataset of users, products, and reviews. - Developing an AI-powered social media marketing strategy. - Optimizing the AI-powered strategy for maximum efficiency. - Researching other variables that can improve the quality of the AI-generated strategy. - Accounting for additional variables in the AI-generated strategy. - Testing the developed strategy and making improvements based on additional data. The focal point is the launch of Canadian made and award winning healthy nutrceutical DFEnergy to a global online market place, DFEnergy was awarded Canada's most innovative health product and DansFarmaroot ultimate goal with this co-op assignment is to create a data-driven, innovative, and impactful marketing campaign.