Case Study
Recommendation System For a Streaming Service Provider
Instinctools helped a European streaming provider strengthen personalization by developing an ML-powered recommendation engine designed to match viewers with content aligned to their individual interests. Faced with overwhelming content choices and increasingly demanding audiences, the provider needed a smarter way to capture attention, improve discovery, and encourage premium subscriptions. Instinctools assembled a cross-functional team spanning backend and frontend development, QA, data science, solution architecture, business analysis, UX/UI design, and project management. The team delivered a tailored recommendation system that improved content relevance and the overall viewing experience, contributing to a one-third increase in premium subscribers within six months.
