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  • Deep Learning
  • Digital Advertising
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RTB House Editorial Team
Published:
4 June 2025

Large Language Models Meet Digital Advertising: Inside IntentGPT's Approach

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.

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  • Published:
    26 June 2023

    Seller-Defined Audiences Analysis Series – Part III: User SDA Quality Tests

    This article aims to complete the round of quality tests performed on the sampled Seller-Defined Audiences signals we received from the sell side. While the previous article investigated contextual SDAs, this one will focus on user SDAs and verify how they reflect reality. The tests in this section varied from the ones performed on the contextual signals as the nature of the user type differs. The first test relied on a manual check of an assignment mechanism, while the second one was based on a survey campaign.

    • Cookieless World
  • Published:
    27 April 2023

    Seller-Defined Audiences Analysis Series – Part II: Contextual SDA Quality Tests

    Key takeaways from this article:
    • Contextual SDA passed both quality tests we performed and described in this article
    • The mechanisms we used to assess the contextual SDA signals’ quality were: SSPs’ audiences sent via Deal IDs and RTB House’s proprietary ContextAI engine
    • Cookieless World
  • Published:
    17 January 2023

    How Brands Can Leverage MarTech Advances to Kick off 2023 with a Sales Bump

    As a new year dawns, many of us are looking toward 2023 with trepidation. A potent cocktail of skyrocketing inflation, a looming recession, and general global instability has created a difficult environment for companies in almost every industry. However, things aren’t as bad as they seem, and if companies can take advantage of the evolving MarTech trends, they can thrive despite the adversity.

    • Digital Advertising
  • Published:
    19 December 2022

    The Top Five MarTech Trends to Watch for in 2023

    It’s that time of year again. The RTB House Team is closing the door on 2022, and our marketing team has been enthusiastically sharing their predictions about 2023. Fortunately, our writing team was there to take diligent notes and turn them into some useful marketing trend insights!

    So grab yourself a warm beverage, and let’s take stock of where we ended up in 2022, and where marketing trends are going in 2023.

    • Digital Advertising
  • Published:
    4 October 2022

    Grow Your Brand in the Open Web without Cookies

    Have you ever downloaded the data Facebook has on you? Or Google? The sheer breadth of data collection has 86% of consumers worried, and this has led to a number of users leaving data-hungry social media platforms. It has also forced organizations like Google to do some soul-searching and adjust their approach to user data, notably by retiring third-party cookies.

    • Cookieless World
    • Digital Advertising
  • Published:
    29 September 2022

    Understanding the Next Leap Forward in Marketing Technology: Deep Learning

    From the printing press to Deep Learning, the history of marketing shadows all our great leaps forward in communications technology. It is the marketer’s job to identify how these novel technologies can be used to reach potential customers, and educate them about products and services that enrich their lives.

    The printing press let us create posters, radio and television enabled us to speak to people in their homes, and the internet gave us new ways to sell to people. Today, we’d like to take a moment to dive into how marketers can take advantage of the next big leap forward in technology: Deep Learning.

    • Deep Learning
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