This Week You Are Playing The Role Of The Marketing Manager In A Marke This week you are playing the role of the Marketing Manager in a marketing simulation for Minnesota Micromotors, Inc. (MM). Minnesota Micromotors, Inc., based in Minneapolis, is a manufacturer of brushless, direct current (BLDC) motors used in orthopedic medical devices. Approximately 70% of the company's revenues are generated from customers who place large-volume orders. The assignment involves engaging in the development of professional competencies such as analyzing quantitative data and active listening within a marketing simulation context. You are required to complete a simulation that involves three steps: reviewing performance reports, making decisions for the first quarter, and then reviewing company results to adjust subsequent decisions accordingly. To participate, you must access the simulation via the URL provided by your instructor in the course materials. This involves registering or logging into the Harvard Business School Publishing website (hbsp.harvard.edu), navigating to the coursepack "MT450 Marketing Management," and entering your login credentials. The simulation requires a careful review of detailed dashboards and reports, followed by strategic decision-making related to pricing, discounts, and marketing investments such as sales force budget, market research, and research and development expenses. After submitting decisions, you will analyze the results and make adjustments in subsequent rounds.
Paper For Above instruction In the competitive landscape of orthopedic medical devices, Minnesota Micromotors, Inc. (MM) operates within a highly specialized segment where innovation, pricing strategies, and market engagement are crucial for sustained growth. As the marketing manager, my approach involves a strategic analysis of data gleaned from performance reports and a systematic decision-making process aimed at optimizing sales, market share, and customer satisfaction. Begin by examining the dashboard and detailed reports provided in the Analyze tab of the simulation. The sales data over time reveal trends that highlight customer preferences and the effectiveness of existing product features. Analyzing product performance metrics and customer feedback helps identify which motor features are most valued and which aspects require enhancement. Understanding these nuances enables targeted R&D investments, aligning product development with customer needs and technological trends.