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Customer Analytics at Flipkart.Com SWOT Analysis / TOWS Matrix / Weighted SWOT Analysis

Case Study SWOT Analysis Solution

Case Study Description of Customer Analytics at Flipkart.Com


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.

Authors :: Naveen Bhansali, Jitendra Rudravaram, Shailaja Grover, Dinesh Kumar Unnikrishnan

Topics :: Sales & Marketing

Tags :: Customers, Sales, SWOT Analysis, SWOT Matrix, TOWS, Weighted SWOT Analysis

Swot Analysis of "Customer Analytics at Flipkart.Com" written by Naveen Bhansali, Jitendra Rudravaram, Shailaja Grover, Dinesh Kumar Unnikrishnan includes – strengths weakness that are internal strategic factors of the organization, and opportunities and threats that Flipkart Clv facing as an external strategic factors. Some of the topics covered in Customer Analytics at Flipkart.Com case study are - Strategic Management Strategies, Customers, Sales and Sales & Marketing.


Some of the macro environment factors that can be used to understand the Customer Analytics at Flipkart.Com casestudy better are - – increasing inequality as vast percentage of new income is going to the top 1%, increasing commodity prices, technology disruption, there is backlash against globalization, increasing household debt because of falling income levels, competitive advantages are harder to sustain because of technology dispersion, geopolitical disruptions, digital marketing is dominated by two big players Facebook and Google, increasing transportation and logistics costs, etc



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Introduction to SWOT Analysis of Customer Analytics at Flipkart.Com


SWOT stands for an organization’s Strengths, Weaknesses, Opportunities and Threats . At Oak Spring University , we believe that protagonist in Customer Analytics at Flipkart.Com case study can use SWOT analysis as a strategic management tool to assess the current internal strengths and weaknesses of the Flipkart Clv, and to figure out the opportunities and threats in the macro environment – technological, environmental, political, economic, social, demographic, etc in which Flipkart Clv operates in.

According to Harvard Business Review, 75% of the managers use SWOT analysis for various purposes such as – evaluating current scenario, strategic planning, new venture feasibility, personal growth goals, new market entry, Go To market strategies, portfolio management and strategic trade-off assessment, organizational restructuring, etc.




SWOT Objectives / Importance of SWOT Analysis and SWOT Matrix


SWOT analysis of Customer Analytics at Flipkart.Com can be done for the following purposes –
1. Strategic planning using facts provided in Customer Analytics at Flipkart.Com case study
2. Improving business portfolio management of Flipkart Clv
3. Assessing feasibility of the new initiative in Sales & Marketing field.
4. Making a Sales & Marketing topic specific business decision
5. Set goals for the organization
6. Organizational restructuring of Flipkart Clv




Strengths Customer Analytics at Flipkart.Com | Internal Strategic Factors
What are Strengths in SWOT Analysis / TOWS Matrix / Weighted SWOT Analysis

The strengths of Flipkart Clv in Customer Analytics at Flipkart.Com Harvard Business Review case study are -

Innovation driven organization

– Flipkart Clv is one of the most innovative firm in sector. Manager in Customer Analytics at Flipkart.Com Harvard Business Review case study can use Clayton Christensen Disruptive Innovation strategies to further increase the scale of innovtions in the organization.

High brand equity

– Flipkart Clv has strong brand awareness and brand recognition among both - the exiting customers and potential new customers. Strong brand equity has enabled Flipkart Clv to keep acquiring new customers and building profitable relationship with both the new and loyal customers.

Training and development

– Flipkart Clv has one of the best training and development program in the industry. The effectiveness of the training programs can be measured in Customer Analytics at Flipkart.Com Harvard Business Review case study by analyzing – employees retention, in-house promotion, loyalty, new venture initiation, lack of conflict, and high level of both employees and customer engagement.

Diverse revenue streams

– Flipkart Clv is present in almost all the verticals within the industry. This has provided firm in Customer Analytics at Flipkart.Com case study a diverse revenue stream that has helped it to survive disruptions such as global pandemic in Covid-19, financial disruption of 2008, and supply chain disruption of 2021.

Effective Research and Development (R&D)

– Flipkart Clv has innovation driven culture where significant part of the revenues are spent on the research and development activities. This has resulted in, as mentioned in case study Customer Analytics at Flipkart.Com - staying ahead in the industry in terms of – new product launches, superior customer experience, highly competitive pricing strategies, and great returns to the shareholders.

Analytics focus

– Flipkart Clv is putting a lot of focus on utilizing the power of analytics in business decision making. This has put it among the leading players in the industry. The technology infrastructure suggested by Naveen Bhansali, Jitendra Rudravaram, Shailaja Grover, Dinesh Kumar Unnikrishnan can also help it to harness the power of analytics for – marketing optimization, demand forecasting, customer relationship management, inventory management, information sharing across the value chain etc.

Operational resilience

– The operational resilience strategy in the Customer Analytics at Flipkart.Com Harvard Business Review case study comprises – understanding the underlying the factors in the industry, building diversified operations across different geographies so that disruption in one part of the world doesn’t impact the overall performance of the firm, and integrating the various business operations and processes through its digital transformation drive.

Ability to lead change in Sales & Marketing field

– Flipkart Clv is one of the leading players in its industry. Over the years it has not only transformed the business landscape in its segment but also across the whole industry. The ability to lead change has enabled Flipkart Clv in – penetrating new markets, reaching out to new customers, and providing different value propositions to different customers in the international markets.

High switching costs

– The high switching costs that Flipkart Clv has built up over years in its products and services combo offer has resulted in high retention of customers, lower marketing costs, and greater ability of the firm to focus on its customers.

Sustainable margins compare to other players in Sales & Marketing industry

– Customer Analytics at Flipkart.Com firm has clearly differentiated products in the market place. This has enabled Flipkart Clv to fetch slight price premium compare to the competitors in the Sales & Marketing industry. The sustainable margins have also helped Flipkart Clv to invest into research and development (R&D) and innovation.

Superior customer experience

– The customer experience strategy of Flipkart Clv in the segment is based on four key concepts – personalization, simplification of complex needs, prompt response, and continuous engagement.

Ability to recruit top talent

– Flipkart Clv is one of the leading recruiters in the industry. Managers in the Customer Analytics at Flipkart.Com are in a position to attract the best talent available. The firm has a robust talent identification program that helps in identifying the brightest.






Weaknesses Customer Analytics at Flipkart.Com | Internal Strategic Factors
What are Weaknesses in SWOT Analysis / TOWS Matrix / Weighted SWOT Analysis

The weaknesses of Customer Analytics at Flipkart.Com are -

High cash cycle compare to competitors

Flipkart Clv has a high cash cycle compare to other players in the industry. It needs to shorten the cash cycle by 12% to be more competitive in the marketplace, reduce inventory costs, and be more profitable.

Low market penetration in new markets

– Outside its home market of Flipkart Clv, firm in the HBR case study Customer Analytics at Flipkart.Com needs to spend more promotional, marketing, and advertising efforts to penetrate international markets.

Increasing silos among functional specialists

– The organizational structure of Flipkart Clv is dominated by functional specialists. It is not different from other players in the Sales & Marketing segment. Flipkart Clv needs to de-silo the office environment to harness the true potential of its workforce. Secondly the de-silo will also help Flipkart Clv to focus more on services rather than just following the product oriented approach.

Workers concerns about automation

– As automation is fast increasing in the segment, Flipkart Clv needs to come up with a strategy to reduce the workers concern regarding automation. Without a clear strategy, it could lead to disruption and uncertainty within the organization.

High operating costs

– Compare to the competitors, firm in the HBR case study Customer Analytics at Flipkart.Com has high operating costs in the. This can be harder to sustain given the new emerging competition from nimble players who are using technology to attract Flipkart Clv 's lucrative customers.

High bargaining power of channel partners

– Because of the regulatory requirements, Naveen Bhansali, Jitendra Rudravaram, Shailaja Grover, Dinesh Kumar Unnikrishnan suggests that, Flipkart Clv is facing high bargaining power of the channel partners. So far it has not able to streamline the operations to reduce the bargaining power of the value chain partners in the industry.

Slow to strategic competitive environment developments

– As Customer Analytics at Flipkart.Com HBR case study mentions - Flipkart Clv takes time to assess the upcoming competitions. This has led to missing out on atleast 2-3 big opportunities in the industry in last five years.

Need for greater diversity

– Flipkart Clv has taken concrete steps on diversity, equity, and inclusion. But the efforts so far has resulted in limited success. It needs to expand the recruitment and selection process to hire more people from the minorities and underprivileged background.

Products dominated business model

– Even though Flipkart Clv has some of the most successful products in the industry, this business model has made each new product launch extremely critical for continuous financial growth of the organization. firm in the HBR case study - Customer Analytics at Flipkart.Com should strive to include more intangible value offerings along with its core products and services.

Interest costs

– Compare to the competition, Flipkart Clv has borrowed money from the capital market at higher rates. It needs to restructure the interest payment and costs so that it can compete better and improve profitability.

Slow to harness new channels of communication

– Even though competitors are using new communication channels such as Instagram, Tiktok, and Snap, Flipkart Clv is slow explore the new channels of communication. These new channels of communication mentioned in marketing section of case study Customer Analytics at Flipkart.Com can help to provide better information regarding products and services. It can also build an online community to further reach out to potential customers.




Opportunities Customer Analytics at Flipkart.Com | External Strategic Factors
What are Opportunities in the SWOT Analysis / TOWS Matrix / Weighted SWOT Analysis


The opportunities highlighted in the Harvard Business Review case study Customer Analytics at Flipkart.Com are -

Changes in consumer behavior post Covid-19

– Consumer behavior has changed in the Sales & Marketing industry because of Covid-19 restrictions. Some of this behavior will stay once things get back to normal. Flipkart Clv can take advantage of these changes in consumer behavior to build a far more efficient business model. For example consumer regular ordering of products can reduce both last mile delivery costs and market penetration costs. Flipkart Clv can further use this consumer data to build better customer loyalty, provide better products and service collection, and improve the value proposition in inflationary times.

Manufacturing automation

– Flipkart Clv can use the latest technology developments to improve its manufacturing and designing process in Sales & Marketing segment. It can use CAD and 3D printing to build a quick prototype and pilot testing products. It can leverage automation using machine learning and artificial intelligence to do faster production at lowers costs, and it can leverage the growth in satellite and tracking technologies to improve inventory management, transportation, and shipping.

Identify volunteer opportunities

– Covid-19 has impacted working population in two ways – it has led to people soul searching about their professional choices, resulting in mass resignation. Secondly it has encouraged people to do things that they are passionate about. This has opened opportunities for businesses to build volunteer oriented socially driven projects. Flipkart Clv can explore opportunities that can attract volunteers and are consistent with its mission and vision.

Harnessing reconfiguration of the global supply chains

– As the trade war between US and China heats up in the coming years, Flipkart Clv can build a diversified supply chain model across various countries in - South East Asia, India, and other parts of the world. This reconfiguration of global supply chain can help, as suggested in case study, Customer Analytics at Flipkart.Com, to buy more products closer to the markets, and it can leverage its size and influence to get better deal from the local markets.

Low interest rates

– Even though inflation is raising its head in most developed economies, Flipkart Clv can still utilize the low interest rates to borrow money for capital investment. Secondly it can also use the increase of government spending in infrastructure projects to get new business.

Creating value in data economy

– The success of analytics program of Flipkart Clv has opened avenues for new revenue streams for the organization in the industry. This can help Flipkart Clv to build a more holistic ecosystem as suggested in the Customer Analytics at Flipkart.Com case study. Flipkart Clv can build new products and services such as - data insight services, data privacy related products, data based consulting services, etc.

Developing new processes and practices

– Flipkart Clv can develop new processes and procedures in Sales & Marketing industry using technology such as automation using artificial intelligence, real time transportation and products tracking, 3D modeling for concept development and new products pilot testing etc.

Using analytics as competitive advantage

– Flipkart Clv has spent a significant amount of money and effort to integrate analytics and machine learning into its operations in the sector. This continuous investment in analytics has enabled, as illustrated in the Harvard case study Customer Analytics at Flipkart.Com - to build a competitive advantage using analytics. The analytics driven competitive advantage can help Flipkart Clv to build faster Go To Market strategies, better consumer insights, developing relevant product features, and building a highly efficient supply chain.

Reforming the budgeting process

- By establishing new metrics that will be used to evaluate both existing and potential projects Flipkart Clv can not only reduce the costs of the project but also help it in integrating the projects with other processes within the organization.

Building a culture of innovation

– managers at Flipkart Clv can make experimentation a productive activity and build a culture of innovation using approaches such as – mining transaction data, A/B testing of websites and selling platforms, engaging potential customers over various needs, and building on small ideas in the Sales & Marketing segment.

Better consumer reach

– The expansion of the 5G network will help Flipkart Clv to increase its market reach. Flipkart Clv will be able to reach out to new customers. Secondly 5G will also provide technology framework to build new tools and products that can help more immersive consumer experience and faster consumer journey.

Use of Bitcoin and other crypto currencies for transactions

– The popularity of Bitcoin and other crypto currencies as asset class and medium of transaction has opened new opportunities for Flipkart Clv in the consumer business. Now Flipkart Clv can target international markets with far fewer capital restrictions requirements than the existing system.

Lowering marketing communication costs

– 5G expansion will open new opportunities for Flipkart Clv in the field of marketing communication. It will bring down the cost of doing business, provide technology platform to build new products in the Sales & Marketing segment, and it will provide faster access to the consumers.




Threats Customer Analytics at Flipkart.Com External Strategic Factors
What are Threats in the SWOT Analysis / TOWS Matrix / Weighted SWOT Analysis


The threats mentioned in the HBR case study Customer Analytics at Flipkart.Com are -

Trade war between China and United States

– The trade war between two of the biggest economies can hugely impact the opportunities for Flipkart Clv in the Sales & Marketing industry. The Sales & Marketing industry is already at various protected from local competition in China, with the rise of trade war the protection levels may go up. This presents a clear threat of current business model in Chinese market.

Increasing international competition and downward pressure on margins

– Apart from technology driven competitive advantage dilution, Flipkart Clv can face downward pressure on margins from increasing competition from international players. The international players have stable revenue in their home market and can use those resources to penetrate prominent markets illustrated in HBR case study Customer Analytics at Flipkart.Com .

Consumer confidence and its impact on Flipkart Clv demand

– There is a high probability of declining consumer confidence, given – high inflammation rate, rise of gig economy, lower job stability, increasing cost of living, higher interest rates, and aging demography. All the factors contribute to people saving higher rate of their income, resulting in lower consumer demand in the industry and other sectors.

Aging population

– As the populations of most advanced economies are aging, it will lead to high social security costs, higher savings among population, and lower demand for goods and services in the economy. The household savings in US, France, UK, Germany, and Japan are growing faster than predicted because of uncertainty caused by pandemic.

Technology disruption because of hacks, piracy etc

– The colonial pipeline illustrated, how vulnerable modern organization are to international hackers, miscreants, and disruptors. The cyber security interruption, data leaks, etc can seriously jeopardize the future growth of the organization.

Learning curve for new practices

– As the technology based on artificial intelligence and machine learning platform is getting complex, as highlighted in case study Customer Analytics at Flipkart.Com, Flipkart Clv may face longer learning curve for training and development of existing employees. This can open space for more nimble competitors in the field of Sales & Marketing .

Increasing wage structure of Flipkart Clv

– Post Covid-19 there is a sharp increase in the wages especially in the jobs that require interaction with people. The increasing wages can put downward pressure on the margins of Flipkart Clv.

Shortening product life cycle

– it is one of the major threat that Flipkart Clv is facing in Sales & Marketing sector. It can lead to higher research and development costs, higher marketing expenses, lower customer loyalty, etc.

Barriers of entry lowering

– As technology is more democratized, the barriers to entry in the industry are lowering. It can presents Flipkart Clv with greater competitive threats in the near to medium future. Secondly it will also put downward pressure on pricing throughout the sector.

Regulatory challenges

– Flipkart Clv needs to prepare for regulatory challenges as consumer protection groups and other pressure groups are vigorously advocating for more regulations on big business - to reduce inequality, to create a level playing field, to product data privacy and consumer privacy, to reduce the influence of big money on democratic institutions, etc. This can lead to significant changes in the Sales & Marketing industry regulations.

High level of anxiety and lack of motivation

– the Great Resignation in United States is the sign of broader dissatisfaction among the workforce in United States. Flipkart Clv needs to understand the core reasons impacting the Sales & Marketing industry. This will help it in building a better workplace.

High dependence on third party suppliers

– Flipkart Clv high dependence on third party suppliers can disrupt its processes and delivery mechanism. For example -the current troubles of car makers because of chip shortage is because the chip companies started producing chips for electronic companies rather than car manufacturers.

Environmental challenges

– Flipkart Clv needs to have a robust strategy against the disruptions arising from climate change and energy requirements. EU has identified it as key priority area and spending 30% of its 880 billion Euros European post Covid-19 recovery funds on green technology. Flipkart Clv can take advantage of this fund but it will also bring new competitors in the Sales & Marketing industry.




Weighted SWOT Analysis of Customer Analytics at Flipkart.Com Template, Example


Not all factors mentioned under the Strengths, Weakness, Opportunities, and Threats quadrants in the SWOT Analysis are equal. Managers in the HBR case study Customer Analytics at Flipkart.Com needs to zero down on the relative importance of each factor mentioned in the Strengths, Weakness, Opportunities, and Threats quadrants. We can provide the relative importance to each factor by assigning relative weights. Weighted SWOT analysis process is a three stage process –

First stage for doing weighted SWOT analysis of the case study Customer Analytics at Flipkart.Com is to rank the strengths and weaknesses of the organization. This will help you to assess the most important strengths and weaknesses of the firm and which one of the strengths and weaknesses mentioned in the initial lists are marginal and can be left out.

Second stage for conducting weighted SWOT analysis of the Harvard case study Customer Analytics at Flipkart.Com is to give probabilities to the external strategic factors thus better understanding the opportunities and threats arising out of macro environment changes and developments.

Third stage of constructing weighted SWOT analysis of Customer Analytics at Flipkart.Com is to provide strategic recommendations includes – joining likelihood of external strategic factors such as opportunities and threats to the internal strategic factors – strengths and weaknesses. You should start with external factors as they will provide the direction of the overall industry. Secondly by joining probabilities with internal strategic factors can help the company not only strategic fit but also the most probably strategic trade-off that Flipkart Clv needs to make to build a sustainable competitive advantage.



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