The Power of Generative AI for Personalizing Video Content

In today’s rapidly evolving landscape of content creation, a brave new world is emerging; video service providers can utilize AI-assisted pipelines to streamline the content creation process. As technology advances, large language model (LLM)-powered tools are ushering in a new era for content personalization and targeting. This paper presents an architecture blueprint to boost the effectiveness of targeted ads by developing tailored messages for specific consumer segments focusing on their core values and beliefs. Central to this are three pillars: automated audience segmentation and identifying deep seated core values, GenAI-aided message crafting aligned with segment values and beliefs, and a closed-loop system for continuous improvement through automated A/B testing. This paper calls for a holistic approach to video personalization that considers the enforcement of ethical — particularly privacy-related — standards and appropriate advertisers’ guardrails, as well as the prevention of biases. By leveraging data-driven insights and continuous feedback, we aim to refine marketing strategies, ensuring messages effectively resonate with targeted groups.

Ofer Weintraub | Viaccess-Orca | Raanana, Israel
Alice Wittenberg | Viaccess-Orca | Raanana, Israel
Alain Nochimowski | Viaccess-Orca | Raanana, Israel