Blog about Digital Advertising & Marketing Technology

New York, NY - 1 June 2025 - RTB House, the performance DSP whose products are powered by unique Deep Learning algorithms, is proud to announce that it has joined the Network Advertising Initiative (NAI) as a member and joined its Board of Directors for the remainder of the 2025 term. This membership reflects RTB House’s dedication to privacy and data protection and its firm desire to advance the practices of peers in the American market. 

When we began developing IntentGPT, our team was focused on solving a fundamental challenge in digital marketing—truly understanding what users want when interacting online. User intent drives every click, search, and page view. We’d like to share what we've learned about user intent, why it matters for performance marketing, and how contextual AI can help marketers connect with audiences more effectively.

Digital advertising continues to evolve at a rapid pace, driven by technological advances, changing consumer behaviors, and shifting privacy regulations. We recently sat down with Jaysen Gillespie, Vice President of Global Product Commercialization at RTB House, to discuss IntentGPT, one of our most significant recent innovations. Gillespie has been instrumental in leading the development and commercial rollout of this technology, which represents a fundamental shift in how advertisers can understand and act on user intent across the web.

Artificial intelligence (AI) tools are productivity game changers, but not every AI is suited for every type of task. Some excel at writing copy, others can generate incredible images, and some can help researchers predict the weather. Understanding different types of AI is the key to successfully implementing AI into your workflow. This article will dive into the differences between two of the most commonly used types of AI: Generative AI vs. Predictive AI.

With IntentGPT, the company is the first DSP to introduce an LLM-based targeting solution.

Generative AI applications are reshaping how organizations tackle marketing, product innovation, and user engagement. From generating new content to analyzing complex datasets, these advanced systems reduce repetitive tasks and unlock fresh perspectives. In this article, we explore key Generative AI examples and outline practical steps to deploy GenAI applications in different sectors, including marketing, healthcare, and finance.