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Customer Analytics at Bigbasket - Product Recommendations 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 Customer Analytics at Bigbasket - Product Recommendations case study. Customer Analytics at Bigbasket - Product Recommendations is a Harvard Business Review case study written by Paul Abraham, Manaranjan Pradhan, Lakshminarayanan S, Ganesh Iyerfor the students of Sales & Marketing. The case study also include other relevant topics and learning material on – Sales
Strategic Marketing Analysis of Customer Analytics at Bigbasket - Product Recommendations case study written by Paul Abraham, Manaranjan Pradhan, Lakshminarayanan S, Ganesh Iyer will comprise following sections –
- Customer Analytics at Bigbasket - Product Recommendations Case Description
- Marketing Definition
- Market Potential Analysis of Customer Analytics at Bigbasket - Product Recommendations
- Market Share Potential Analysis
- Segmentation and Segment Attractiveness Analysis
- Competition and Competitiveness Analysis of Customer Analytics at Bigbasket - Product Recommendations
- Customer Value Analysis of Customer Analytics at Bigbasket - Product Recommendations case study
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Customer Analytics at Bigbasket - Product Recommendations Marketing Case Description
Sales & Marketing Case Study | Authors :: Paul Abraham, Manaranjan Pradhan, Lakshminarayanan S, Ganesh Iyer
Bigbasket was India's largest online grocery and food store established in 2011 by a group of entrepreneurs Hari Menon, Vipul Parekh, V S Ramesh, V S Sudhakar, and Abhinay Choudhari. In 2016, Bigbasket sold more than 18,000 products and 1,000 brands operating across 12 Indian cities. Online grocery market in India has been small, but a rapidly growing segment. According to "The Retailer" Ernst and Young's publication in consumer products and retail sector, during July-September 2015, India was among the top-10 food and grocery markets in the world, with an estimated size of INR 22.5 trillion (approximately USD 350 billion). The market has grown at 10-12% CAGR between 2010 and 2015, with food and grocery being the largest segment, accounting for close to 60% in 2015 alone. The protagonist of the case, Pramod Jajoo, Chief Technology Officer, at Bigbasket was trying to solve two problems frequently encountered by customers of online grocery stores. It was estimated that about 30% of Bigbasket customers place orders through smart phones. Unlike other e-commerce companies such as Amazon, Bigbasket customers place order for several products in a single order, sometimes as high as 80 in one order depending on their purchase frequency. When the basket size is high, using smart phones to place order is challenging. Also, it is a common phenomenon that customers forget to place order few grocery items which may result either in placing additional orders or customers purchasing those products from neighborhood stores resulting in a financial loss to online grocery stores. Jajoo and his team wanted to create a "Smart Basket" that would make placing orders easier for their customers and "Did you forget?" feature that would identify the items the customer may have forgotten to order.
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 Customer Analytics at Bigbasket - Product Recommendations
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 Customer Analytics at Bigbasket - Product Recommendations 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 Customer Analytics at Bigbasket - Product Recommendationsindustry.
- Identifying the market share drivers relevant to Customer Analytics at Bigbasket - Product Recommendations 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.
Customer Analytics at Bigbasket - Product Recommendations - 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.
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