RTB House Editorial Team

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.

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.

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

At present, the narrative surrounding AI is a strange cocktail of both dark prophecies and unbridled optimism. However, between these extremes is a growing number of people taking advantage of new Generative AI tools to eliminate dull repetitive tasks, improve their productivity, and ultimately focus more on strategic and creative work.

When used correctly, this growing toolkit of AI-powered products makes it possible for marketers to concentrate on what they do best and outsource repetitive or time-consuming tasks to AI.

Let’s take a look at some of the top Generative AI tools for marketers and how you can implement them in your own workflow.

Creating an effective customer targeting strategy is a challenge that marketers have consistently faced over the years. A dynamically changing market, evolving consumer behavior and preferences, and the rapid development of new technologies are factors that constantly create challenges. On the one hand, they require a continuous modification of the assumptions and developed strategies, and on the other hand, they open up completely new possibilities – i.e. allow for a better and more effective reach of the target group with the message. Why is it worth diversifying strategies and reaching for both contextual and behavioral targeting? What will the cookieless future bring?