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Ad automation and optimization are critical for digital media environments across all endpoints to help ensure an ideal experience for consumers, as well as to maximize revenue. Advertising solutions on AWS help publishers effectively create ads throughout the pitch-to-pay process, from ad sales planning through to yield optimization. Ad publishers can deliver ads through targeting, ad insertion, and analytics, while providing innovating experiences.
ThinkAnalytics employs advanced AI models that leverage first party viewing data to generate and activate targeted audience segments at scale.
- Unleash Revenue Potential: Transform real time, aggregated, anonymized 1P viewing data into valuable and highly targeted audiences that increase yield and revenue.
- Enable Cross Media Audience Segments: Create audience segments that span multiple platforms, enabling effective targeting across various media channels.
- Deliver Advanced Addressability: Bring the power of digital and advanced audience targeting to TV with granular and high value audience data to advertisers.
- Manage Data Efficiently: Streamline data processing and management, ensuring compliance with identity and privacy regulations in a post cookie, regulated world.
FLOWER is an addressable ad-serving platform designed for OTT and IPTV operators. It enables real-time ad replacement in broadcasting (Linear TV) and FAST services to target specific audiences. The targeted ad campaigns are granularly personalized through data analysis, addressing a major challenge in traditional broadcast advertising and maximizing FAST inventory monetization.
SureFire video ad server is an ad decisioning solution for OTT, leveraging common broadcast rules and audience data across VOD and addressable linear platforms.
This Guidance shows how to use generative AI to derive contextual insights from multimedia assets and identify relevant audience segments for targeted advertising placements. By analyzing video, audio, and text, you can identify the most relevant audience segments and deliver personalized advertising experiences. Moreover, the use of multimodal large language models (LLMs) facilitates the extraction of insights from both visual and transcript components so you can align your media with the right advertising opportunities and monetize content more effectively.