Industry
Mass Media Entertainment
Research Duration
5 days
Types of research
Quantitative, Qualitative
About the client
The streaming platform aimed to effectively engage a diverse audience comprising Gen X, Y, and Z demographics with their new over-the-top (OTT) content. They needed to ensure the content was relatable and engaging to maintain viewer retention and reduce the risk of content rejection.
Proposed Solution
Socialtrait implemented its AI-driven platform to predict and enhance content engagement. By utilizing AI personas that represented different audience segments, the platform tested various aspects of the video content. This approach helped in identifying key elements that resonated with each generation and in tailoring the content to improve relatability and viewer satisfaction.
Outcome
More Viewer Engagement
The platform saw a 30% increase in viewer engagement metrics as the content became more tailored to the preferences and interests of the diverse audience groups.
Increased Audience Relatability
The AI-generated insights allowed the platform to fine-tune casting choices and storyline elements, enhancing relatability across different demographic groups by 40%.
Cost Savings in Insight Generation
By using AI to simulate audience reactions, the platform reduced the cost and time associated with traditional focus groups and surveys, leading to a 25% savings in research expenses.
Conclusion
By leveraging Socialtrait's AI-powered research capabilities, the streaming platform successfully navigated the complexities of catering to a multi-generational audience. The insights derived from the AI personas not only boosted engagement and relatability but also streamlined the content development process, solidifying the platform's position as a leading provider of diverse and appealing entertainment content.
