StarApple performed a qualitative and quantitative analysis, for a well-known school in Jamaica, of all stakeholders, including staff, teachers, parents, students, senior management and the Board. SWOT analysis, Quadrant Plots, Sentiment analysis and Perception analysis were used to derive recommendations to improve satisfaction and engagement. We assisted the school in improving its Satisfaction Rate by +20% in under a year.

StarApple segmented users of an Enterprise Media company's products using cluster models trained on demographic, product usage, and psychometric data points. Personas were developed using the segments and marketing campaigns launched based on each segment’s profile. Service delivery was measured and the results of natural language processing models provided recommendations to improve the platforms. The products saw upticks in signup and satisfaction rates.

StarApple studied Stakeholders’ perceptions of Competitors, Brands and Services, along with Sentiment Analysis of well-known Media company's Audience members to generate new products. The quality of the brand was ranked against competitors and the effects of new campaigns and shows are assessed. Perception vs Utility analysis was performed to quantify its brand value.

Segmentation of Social Media users (1.1M) for 35 companies across the media industry, using machine learning techniques (deep learning, ensemble methods and Bayesian analyses) based on users’ awareness & engagement with the companies. The effectiveness of branding and marketing spend; marketing return on investment was calculated and recommendations to target key segments were deployed and monitored for effectiveness.

Stakeholder Analysis of Customers, Consumers and Advertisers across all 15 subsidiaries, identifying key drivers of inefficiencies, dissatisfaction and revenue growth. Initiatives to improve lifetime value and satisfaction were created

Data-driven audit of service quality for customers of a food delivery service; we provided customer lifetime value by customer segments.

Data-driven Marketing Campaigns were developed using machine learning algorithms fed survey data. The data was used to develop personas and the personas guided the marketing campaign designs.