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Various companies use customer-collected data in order to enhance their marketing strategies. The international company Starbucks implements information obtained from its clients to increase the effectiveness of their advertisement campaigns and improve the profitability of specific products. As such, the enterprise accumulates statistics from social media regarding its merchandise and analyzes how the users feel about newly-released items or implemented changes (Taecharungroj, 2017).
Examination of customer preferences and behavior allows the company to open additional stores in necessary locations, as well as launch products that are beneficial for the brands’ development. A prominent example of such use of customer data is the distribution of personalized e-mails and notifications to the subscribed users, who receive information pertinent to their interests (Chuang, 2019). Overall, the organization is able to shape its advertisements according to the clients’ expectations, focusing on specific details when addressing particular communities or individuals.
I was particularly interested in my colleague’s post describing the Netflix data policies. Analyzing buyers’ preferences and providing the audience with recommendations that can be beneficial for them is an essential part of any broadcasting company’s marketing strategy (Sanders, 2016). In this example, Netflix both advocates its merchandise and states that they are interested in their users’ interests. Distributing suggestions that have an increased potential to inspire a certain individual to begin utilizing the company’s services is a remarkable opportunity for the organization to secure its success on the market.
The Uber Eats strategy in big data implementation, explained by my colleague, is an exceptional instance of effective data management. Many large-scale companies must handle tremendous amounts of customer-collected information to successfully examine their clientele’s needs (Sanders, 2016). Uber Eats’ centralization of data analytics processes allows them to collect knowledge regarding various social media platforms, subsequently presenting them with an opportunity to envelope multiple potential customers’ beliefs regarding their products.
References
Chuang, H. J. (2019). Starbucks in the world. Journal of Business and Public Administration, 10(3), 99–110. Web.
Sanders, N. R. (2016). How to use big data to drive your supply chain. California Management Review, 58(3), 26–48. Web.
Taecharungroj, V. (2017). Starbucks’ marketing communications strategy on Twitter. Journal of Marketing Communications, 23(6), 552–571. Web.
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