StarApple conducted a qualitative and quantitative review of all parties involved, including top management, the Board, employees, teachers, parents, and students. We came up with several suggestions to boost engagement and satisfaction using SWOT analysis, quadrant plots, sentiment analysis, and perception analysis. In less than a year, with our help, the school was able to increase its satisfaction rate by 20%.

Using cluster models that were trained on demographic, product usage, and psychological data points, StarApple segmented the product consumers of an Enterprise Media company. Marketing campaigns were started based on the profiles of each group once personas had been constructed utilising the segments. The effectiveness of the services was evaluated, and the outcomes of natural language processing models produced suggestions for enhancing the platforms. Both the signup and satisfaction rates for the items increased.

StarApple researched consumers' opinions about rival brands, services, and competitors, as well as the audience members of well-known media companies, in order to develop new products. The effectiveness of new commercials and shows is evaluated, and the brand's quality was compared to that of competitors. In order to calculate the brand value, a perception vs. utility analysis was done.

Using machine learning techniques (deep learning, ensemble methods, and Bayesian analyses), segmentation of Social Media users (1.1 million) for 35 companies in the media industry was done based on the users' awareness of and involvement with the companies. Marketing return on investment was estimated, key segment targeting recommendations were implemented, and their efficacy was tracked.

StarApple conducted a Stakeholder Analysis of Customers, Consumers and Advertisers across all 15 subsidiaries to identify key drivers of inefficiencies, dissatisfaction and revenue growth. We also conducted initiatives to improve lifetime value and satisfaction.