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  • Digital Advertising
Authors
RTB House Editorial Team
Published:
12 January 2026

Principles of Driving True Incremental Revenue Lift

Performance marketing has changed, but many marketers haven't noticed. The shift to first-price auctions since 2019 has created new opportunities for those willing to challenge conventional wisdom about running multiple performance partners. The old rules about bid collision no longer apply.
Today, the path to incremental revenue growth requires a bold approach. Instead of relying on a single partner or worrying about budget cannibalization, successful marketers are discovering that multiple performance partners can work together to drive genuine incremental lift.

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  • Published:
    15 May 2023

    FLEDGE’s Rebranding, UID 2.0 Goes Private, SDA Context Proves Reliable, Google’s IBA Test, and Other News

    In this Media Review, you can read 5 stories, including Google renaming FLEDGE to Protected Audience API, results from Google Ads’ IBA testing, and more details about Apple’s change in Safari.

    • Advertising Privacy Updates
  • 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
    • Advertising Privacy Updates
  • Published:
    24 April 2023

    RTB House Perspective on Google’s Topics Experiment Whitepaper

    On April 18th, Google published the results from Google Ads’ interest-based advertising testing, where, among other tools, Topics API was analyzed. We are happy that the Google Ads team joined RTB House and Criteo in openly publishing findings from experiments with Privacy Sandbox APIs.

    In the report, the Google Ads team compares the effectiveness of applying Topics API, contextual signals, and publisher first-party IDs instead of cookies for Interest-Based Advertising (IBA). Third-party cookies were allowed in this experiment for use cases unrelated to targeting, such as frequency capping and measurement.

    • Advertising Privacy Updates
  • Published:
    24 April 2023

    What Are First-Party Cookies, and How Can Brands Use Them to Reach Customers?

    The cookieless future is fast approaching, and this means that brands need to rebuild their marketing strategies around alternatives to third-party cookies. Navigating this new environment will require mastering a suite of tools, including another type of cookies: first-party cookies.

    To understand how you can make the most of first-party cookies, let’s dive into what they are, how they work, and how advertisers use them.

    • Advertising Privacy Updates
    • Digital Advertising
  • Published:
    19 April 2023

    AI vs. Deep Learning vs. Machine Learning in Advertising

    People are bombarded with thousands of ads every day, both offline and online. With the growing popularity of ad-blocking, it’s clear that they are looking for ways to reduce the number of ads shown. One of the big challenges is that most of this ad content is irrelevant to users. This article will explain how AI technology can help advertisers to deal with it and to improve campaign performance with more precise targeting through Deep Learning.

    • Deep Learning
  • Published:
    12 April 2023

    TCF Action Freeze, Big Tech Antitrust Update, SDA Buy-Side Analysis, and Other News

    In this Media Review, you can read 6 stories, including big tech antitrust update, Meta letting users opt out of some targeted ads (and only in selected countries), and ramping the FLEDGE origin trial back up and launching isolated experiments.

    • Advertising Privacy Updates
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