Flipkart Leveraging Customer Analytics
Porters Five Forces Analysis
The Indian ecommerce market is experiencing tremendous growth in recent years. As of July 2021, Flipkart had a market share of 52%. According to a recent research report by CAGR Insights, the market size of ecommerce is expected to grow to $265 billion by 2024. However, the ecommerce market is still fragmented, with each player having limited data, leading to a lack of cross-product recommendation. Customers’ preferences and the behavior behind their decisions can be measured through various
Alternatives
Flipkart has leveraged customer analytics to improve its selling, delivery, and customer service processes. The company offers personalized recommendations on products based on customer browsing, purchase history, and search queries. These insights are based on anonymized user data, which Flipkart collects through a unique 16-digit ID. For example, Flipkart collects customer data during the purchase process. It stores the customer’s purchase history, IP address, and transaction details. Flipkart then uses this data to recommend products
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Flipkart’s customer analytics journey has been a tale of progress. more In the early days, when the e-commerce firm was the epicentre of India’s online shopping market, Flipkart relied on only Google analytics to keep track of its data. Flipkart is now one of the leading e-commerce giants globally, with revenue growth more than double what it was 4 years ago, driven by its 65% year-on-year (y-o-y) growth in sales, according to the
Problem Statement of the Case Study
Flipkart, an Indian e-commerce giant with a market capitalization of USD 50 billion, has been expanding its services to other countries, including Singapore, Malaysia, Thailand, and UAE. The company’s marketing strategy is focused on offering personalized product recommendations based on the individual customer’s preferences, behavior, and interests. The success of this strategy can be attributed to the availability of comprehensive customer data, coupled with its technology prowess. Customer Analytics: Customer data, including purchase behavior
Evaluation of Alternatives
Flipkart’s marketing mix includes a multitude of features that are meant to appeal to each individual shopper, their preferences and behavior. In addition to the traditional factors such as product and pricing, Flipkart uses a range of analytics tools that can help the e-commerce giant in gaining insights into its customers’ behavior, motivation and preferences. This analysis enables Flipkart to refine its product offerings, design better user experiences, and provide a more personalized shopping experience to their customers. Flipk
VRIO Analysis
Flipkart, one of India’s leading e-commerce marketplaces, leverages customer analytics to ensure customer experience. By analyzing customer data, Flipkart’s business is poised to improve customer experience, enhance brand loyalty and expand customer base. Flipkart’s customer analytics helps the business understand customer behaviors and preferences. The company collects data from various sources, including customer reviews, social media, and search engine referrals. This data helps the business understand the customer’s shopping preferences,
Case Study Solution
In February 2014, the first Flipkart mobile application was launched. The app had been created by Flipkart, a popular online shopping company, and launched with the aim of facilitating the purchase process. Initially, there were some glitches that affected the initial user experience, but as time went by, the app’s users began to grow. The success of the app is due to its intuitive interface, ease of navigation, the quality of service, and the overall experience. The app was developed based on user feedback. As a
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A recent study shows that 92% of online shoppers started their purchase journey from a mobile app. In this case study, we’ll review Flipkart’s customer analytics and how they leverage it to provide a seamless and personalized experience to their users. Flipkart has been using customer analytics to improve their online shopping experience for years. The company employs an array of tools and data analysis to help them understand their customers and their shopping behavior. The following is a brief overview of how F