Our SME streaming platform is seeking to develop a cutting-edge AI-powered content recommendation system. Utilizing advanced machine learning algorithms, this system aims to enhance user engagement by providing personalized content suggestions. We are targeting a smarter, more intuitive user experience that keeps viewers engaged longer and reduces churn.
Our target audience consists of niche content consumers who value personalized and curated viewing experiences. They are typically tech-savvy, appreciate detailed recommendations, and engage deeply with platform content.
Our current content recommendation system is inadequate in engaging users and increasing watch time. Without personalization, users often get irrelevant suggestions which results in higher churn rates.
The market readiness to pay for enhanced recommendation systems is driven by the need for better user engagement, which is crucial for maintaining competitive advantage and boosting subscription renewals.
Without an improved recommendation system, we risk losing market share to competitors who offer superior, personalized viewing experiences. This could result in decreased user engagement and potential revenue loss.
Currently, competitors are employing basic algorithmic recommendations which do not utilize advanced AI insights. Our strategy is to surpass these by integrating AI-driven personalization.
Our system will offer a unique blend of AI-driven personalization with real-time user engagement metrics, setting us apart from competitors relying on conventional recommendation algorithms.
Our go-to-market strategy involves targeting our existing user base with tailored marketing campaigns highlighting enhanced personalization. Additionally, collaboration with tech influencers to showcase our platform's new capabilities will aid in broadening our reach.