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Flipkart, the poster child of Indian e-commerce, was an early entrant in the nascent Indian e-commerce market and quickly established itself as the leading company in this space. Flipkart has grown into an online retail giant, valued at over USD 15.2 billion as of 2015. Flipkart has been selling over 30 million products from more than 50,000 sellers in 70+ categories as well as has 30 exclusive brand associations with in-a-day guarantee in 50 cities and same-day guarantee in 13 cities. Flipkart was 33,000 people strong and had over 50 million registered users with over 10 million daily visits and 8 million shipments per month. Flipkart has been putting in much effort and emphasis on the use of Analytics in every aspect of decision making. Headed by Ravi Vijayaraghavan, the analytics team had over 100 data scientists in 2015. Customer churn is a major concern for Flipkart since it has direct impact on Customer Lifetime Value (CLV). CLV is an important measure to differentiate customers, which can further help the organization to manage them effectively. The main challenge in calculating the lifetime value of customers of e-commerce companies such as Flipkart is that the exact life of the customer is unknown owing to data truncation, that is, the actual point in time of customer churn, which may not be identified in e-commerce, since there would be no prior communication from the customer about the churn. Hence, traditional models of CLV calculation may not be appropriate for e-commerce companies such as Flipkart.
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Customer Analytics at Flipkart.Com is a Harvard Business (HBR) Case Study on Sales & Marketing , Texas Business School provides HBR case study assignment help for just $9. Texas Business School(TBS) case study solution is based on HBR Case Study Method framework, TBS expertise & global insights. Customer Analytics at Flipkart.Com is designed and drafted in a manner to allow the HBR case study reader to analyze a real-world problem by putting reader into the position of the decision maker. Customer Analytics at Flipkart.Com case study will help professionals, MBA, EMBA, and leaders to develop a broad and clear understanding of casecategory challenges. Customer Analytics at Flipkart.Com will also provide insight into areas such as – wordlist , strategy, leadership, sales and marketing, and negotiations.
Customer Analytics at Flipkart.Com case study solution is focused on solving the strategic and operational challenges the protagonist of the case is facing. The challenges involve – evaluation of strategic options, key role of Sales & Marketing, leadership qualities of the protagonist, and dynamics of the external environment. The challenge in front of the protagonist, of Customer Analytics at Flipkart.Com, is to not only build a competitive position of the organization but also to sustain it over a period of time.
The Customer Analytics at Flipkart.Com case study solution requires the MBA, EMBA, executive, professional to have a deep understanding of various strategic management tools such as SWOT Analysis, PESTEL Analysis / PEST Analysis / STEP Analysis, Porter Five Forces Analysis, Go To Market Strategy, BCG Matrix Analysis, Porter Value Chain Analysis, Ansoff Matrix Analysis, VRIO / VRIN and Marketing Mix Analysis.
In the Texas Business School, Customer Analytics at Flipkart.Com case study solution – following strategic tools are used - SWOT Analysis, PESTEL Analysis / PEST Analysis / STEP Analysis, Porter Five Forces Analysis, Go To Market Strategy, BCG Matrix Analysis, Porter Value Chain Analysis, Ansoff Matrix Analysis, VRIO / VRIN and Marketing Mix Analysis.
We have additionally used the concept of supply chain management and leadership framework to build a comprehensive case study solution for the case – Customer Analytics at Flipkart.Com
The first step to solve HBR Customer Analytics at Flipkart.Com case study solution is to identify the problem present in the case. The problem statement of the case is provided in the beginning of the case where the protagonist is contemplating various options in the face of numerous challenges that Flipkart Clv is facing right now. Even though the problem statement is essentially – “Sales & Marketing” challenge but it has impacted by others factors such as communication in the organization, uncertainty in the external environment, leadership in Flipkart Clv, style of leadership and organization structure, marketing and sales, organizational behavior, strategy, internal politics, stakeholders priorities and more.
Texas Business School approach of case study analysis – Conclusion, Reasons, Evidences - provides a framework to analyze every HBR case study. It requires conducting robust external environmental analysis to decipher evidences for the reasons presented in the Customer Analytics at Flipkart.Com.
The external environment analysis of Customer Analytics at Flipkart.Com will ensure that we are keeping a tab on the macro-environment factors that are directly and indirectly impacting the business of the firm.
PESTEL stands for political, economic, social, technological, environmental and legal factors that impact the external environment of firm in Customer Analytics at Flipkart.Com case study. PESTEL analysis of " Customer Analytics at Flipkart.Com" can help us understand why the organization is performing badly, what are the factors in the external environment that are impacting the performance of the organization, and how the organization can either manage or mitigate the impact of these external factors.
As mentioned above PESTEL Analysis has six elements – political, economic, social, technological, environmental, and legal. All the six elements are explained in context with Customer Analytics at Flipkart.Com macro-environment and how it impacts the businesses of the firm.
To do comprehensive PESTEL analysis of case study – Customer Analytics at Flipkart.Com , we have researched numerous components under the six factors of PESTEL analysis.
Political factors impact seven key decision making areas – economic environment, socio-cultural environment, rate of innovation & investment in research & development, environmental laws, legal requirements, and acceptance of new technologies.
Government policies have significant impact on the business environment of any country. The firm in “ Customer Analytics at Flipkart.Com ” needs to navigate these policy decisions to create either an edge for itself or reduce the negative impact of the policy as far as possible.
Data safety laws – The countries in which Flipkart Clv is operating, firms are required to store customer data within the premises of the country. Flipkart Clv needs to restructure its IT policies to accommodate these changes. In the EU countries, firms are required to make special provision for privacy issues and other laws.
Competition Regulations – Numerous countries have strong competition laws both regarding the monopoly conditions and day to day fair business practices. Customer Analytics at Flipkart.Com has numerous instances where the competition regulations aspects can be scrutinized.
Import restrictions on products – Before entering the new market, Flipkart Clv in case study Customer Analytics at Flipkart.Com" should look into the import restrictions that may be present in the prospective market.
Export restrictions on products – Apart from direct product export restrictions in field of technology and agriculture, a number of countries also have capital controls. Flipkart Clv in case study “ Customer Analytics at Flipkart.Com ” should look into these export restrictions policies.
Foreign Direct Investment Policies – Government policies favors local companies over international policies, Flipkart Clv in case study “ Customer Analytics at Flipkart.Com ” should understand in minute details regarding the Foreign Direct Investment policies of the prospective market.
Corporate Taxes – The rate of taxes is often used by governments to lure foreign direct investments or increase domestic investment in a certain sector. Corporate taxation can be divided into two categories – taxes on profits and taxes on operations. Taxes on profits number is important for companies that already have a sustainable business model, while taxes on operations is far more significant for companies that are looking to set up new plants or operations.
Tariffs – Chekout how much tariffs the firm needs to pay in the “ Customer Analytics at Flipkart.Com ” case study. The level of tariffs will determine the viability of the business model that the firm is contemplating. If the tariffs are high then it will be extremely difficult to compete with the local competitors. But if the tariffs are between 5-10% then Flipkart Clv can compete against other competitors.
Research and Development Subsidies and Policies – Governments often provide tax breaks and other incentives for companies to innovate in various sectors of priority. Managers at Customer Analytics at Flipkart.Com case study have to assess whether their business can benefit from such government assistance and subsidies.
Consumer protection – Different countries have different consumer protection laws. Managers need to clarify not only the consumer protection laws in advance but also legal implications if the firm fails to meet any of them.
Political System and Its Implications – Different political systems have different approach to free market and entrepreneurship. Managers need to assess these factors even before entering the market.
Freedom of Press is critical for fair trade and transparency. Countries where freedom of press is not prevalent there are high chances of both political and commercial corruption.
Corruption level – Flipkart Clv needs to assess the level of corruptions both at the official level and at the market level, even before entering a new market. To tackle the menace of corruption – a firm should have a clear SOP that provides managers at each level what to do when they encounter instances of either systematic corruption or bureaucrats looking to take bribes from the firm.
Independence of judiciary – It is critical for fair business practices. If a country doesn’t have independent judiciary then there is no point entry into such a country for business.
Government attitude towards trade unions – Different political systems and government have different attitude towards trade unions and collective bargaining. The firm needs to assess – its comfort dealing with the unions and regulations regarding unions in a given market or industry. If both are on the same page then it makes sense to enter, otherwise it doesn’t.
PESTEL stands for political, economic, social, technological, environmental and legal factors that impact the external environment of firm in Customer Analytics at Flipkart.Com case study. PESTEL analysis of " Customer Analytics at Flipkart.Com" can help us understand why the organization is performing badly, what are the factors in the external environment that are impacting the performance of the organization, and how the organization can either manage or mitigate the impact of these external factors.
Amanda Watson
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Hurley Dry-Fit Chino Short. Men's chino short. Outseam Length: 19 Dri-FIT Technology helps keep you dry and comfortable. Made with sweat-wicking fabric. Fitted waist with belt loops. Button waist with zip fly provides a classic look and feel .
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