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Improving Customer Engagement at VMWare through Analytics Marketing Strategy Analysis & Solution
Marketing & Sales Case Study Analysis and Solution
At Fern Fort University, we use Harvard Business Review (HBR) marketing principles and framework to analyze Improving Customer Engagement at VMWare through Analytics case study. Improving Customer Engagement at VMWare through Analytics is a Harvard Business Review case study written by Nandini Seth, Dinesh Kumar Unnikrishnanfor the students of Sales & Marketing. The case study also include other relevant topics and learning material on – Customers
Strategic Marketing Analysis of Improving Customer Engagement at VMWare through Analytics case study written by Nandini Seth, Dinesh Kumar Unnikrishnan will comprise following sections –
- Improving Customer Engagement at VMWare through Analytics Case Description
- Marketing Definition
- Market Potential Analysis of Improving Customer Engagement at VMWare through Analytics
- Market Share Potential Analysis
- Segmentation and Segment Attractiveness Analysis
- Competition and Competitiveness Analysis of Improving Customer Engagement at VMWare through Analytics
- Customer Value Analysis of Improving Customer Engagement at VMWare through Analytics case study
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Improving Customer Engagement at VMWare through Analytics Marketing Case Description
Sales & Marketing Case Study | Authors :: Nandini Seth, Dinesh Kumar Unnikrishnan
VMware (VMW) is a listed software company with headquarters in Palo Alto, California selling products in the Software Defined Data Center that supports multiple devices, apps, and cloud to create an enterprise-ready cloud infrastructure. The company exclusively caters to business customers, that is, in the B2B environment. The company is characterized by 100% digital supply chain which implies that all products are downloadable from the website (www.vmware.com). The company also promotes these products online. Varied individuals across companies worldwide visit the site to familiarize themselves with the products and their features before making a decisive purchase. Along with the overview and use of the product, there are various customer-interaction triggers or ''digital assets'' that are shown to the VMW audience. These include triggers such as hands-on-learning, seminar/webinar registration, downloads, etc. Kiran R, the Director of the Data Science & Analytics team at VMW wants to know the optimal order of digital actions to be pushed towards customers to engage them effectively. Kiran's team has a rich source of online and offline available to model user's response to each of these digital assets. Kiran realized that the data is highly imbalanced and hence should be handled carefully. They wish to come up with a multinomial classification model for this purpose. Kiran decided that the model should fulfil the following objectives: 1. Determine the right order of digital assets to display to an individual e-mail id. 2. Since the website would like to target groups of e-mail ids, come up with a set of segment rules to identify top individuals for a digital asset and to target them with personalization on the website. 3. Have substantiated marketing and sales implications.
According to American Marketing Association – Marketing is a set of activities that a firm undertakes for creating, communicating, delivering, & exchanging offerings that have value for customers, clients, partners, and society at large.
Kotler explains - Marketing is a process by which organizations can create value for its potential and current customers and build strong customer relationships in order to capture value in return.
Market Potential Analysis of Improving Customer Engagement at VMWare through Analytics
Market potential analysis comprises evaluating the overall market size of the related product that the firm is planning to launch. This will involve defining – Why the target market segment needs the product and how it will provide a solution to full its consumers’ needs. Market potential of Improving Customer Engagement at VMWare through Analytics products various on factors such as –
- Maturity of the market. In mature markets the profitability is often stable but the market potential is less as most of the players have already taken market share based on the segment they are serving. New players have to go for market share strategies in marketing.
- Technological competence of the existing players and culture of innovation and development in the industry.
- Untapped market sizes and barriers to both enter the market and serving the customers. Often companies can easily see the unfulfilled needs in the markets but they are difficult to serve as there are costly barriers.
- Define the core need that your product is serving and list out all the direct and indirect competitors in the market place. This will help not only in positioning of the product but also in defining or creating a segment better.
- Uncovering the current and untapped market sizes and barriers to serving the larger market. Analyze the areas that you need to sort out while launching the products to wider market and what are the challenges the firm will face in market place.
- Estimate the current stage in product life cycle and its implications for marketing decisions for the product.
Market Share Potential Analysis
- Understanding the buyer behavior model for Improving Customer Engagement at VMWare through Analyticsindustry.
- Identifying the market share drivers relevant to Improving Customer Engagement at VMWare through Analytics market.
- Segment Attractiveness Analysis – Our analysis will work out which are the most attractive segments and which are the one the firm should go ahead and target. We point out in great detail which segments will be most lucrative for the company to enter.
- Understanding the different needs and relative value of your offering by segment.
- Developing segment priorities and positioning the product based on the product need fit developed by the firm.
Competition & Competitive Position Analysis
- Uncovering customer-based competitive positions for key rivals and firm’s offering. This will not only help in assessing the strengths and weaknesses of the competitors but also help in defining and positioning of the product.
- Developing a positioning and launching strategy. It will require not only distribution channel analysis but also promotion mix for the product.
- Strategic Marketing Planning — the process of developing and maintaining a strategic fit between the organization’s objectives and capabilities and the ever evolving marketing opportunities for its products.
Improving Customer Engagement at VMWare through Analytics - Customer Value Analysis
Capturing customer value is essential to marketing efforts as it results in higher return in the form of both current & future sales, greater market share, and higher profits. By creating superior customer value, the organization can create highly satisfied customers who stay loyal and buy more. This, in turn, means greater long-run returns for the firm.
- The crucial role of customer perceived value in acquiring and retaining profitable customers. Product differentiation is often based on building on a value niche that a firm believes that is very important to the customer. This niche contributes to perceived value. If the perceived value is high then customer stay loyal to the product if not then she can switch to the competitor’s product.
- Graphically displaying value differences for deeper understanding and better internal communication. This helps is building a narrative that a customer can identify with. The better the insight more are the chances of connecting with the potential customers.
- Identifying and selecting actionable value creation options. This can help in increasing the customer lifetime value. Customer lifetime value is the value of the entire stream of purchases that the customer would make over a lifetime of patronage.
NOTE: Every marketing case study solution varies based on the details and data provided in the case. We write unique marketing strategy case solution for each HBR case study with no plagiarism. The specific case dictate the exact format for the case study analysis.
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