A Unified Platform for Influencer-Brand Collaboration via YouTube Analytics
摘要
The rise of influencer marketing has significantly transformed advertising methods, Due to its recent developments, influencer marketing stands as a pillar in the advertising ecosystem, with content creators on YouTube central to brand equity. This paper discusses a scalable data-driven platform that narrows the gap between niche YouTube creators and brand personnel. The platform incorporates predictive video performance analytics, intuitive dashboards for different user roles, and automated features to manage collaboration. Using regression techniques, Next.js, Prisma ORM, and the YouTube Data API, the system manages operational efficiency as well as predicting engagement in the future. Its core modules provide low levels of channel performance analytics, smart filtering, and admin oversight. The platform empowers YouTubers and brands to make informed decisions through real-time insights, ultimately enhancing collaboration effectiveness and campaign outcomes.