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RTB House Editorial Team
Published:
12 June 2025

Understanding User Intent: How AI Reads Context for Better Targeting

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.

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  • Published:
    9 April 2024

    Your Recipe for Better Online Food & Beverage Marketing Campaigns

    The food and beverage industry has always been incredibly competitive. After all, food is important to all of us. It’s not just a necessary source of nutrients, protein, and fiber; it’s inextricably linked with culture, community, family, and friends. It brings comfort, togetherness, even bliss. It’s the way to our hearts.

    But in recent years, the competition in food & beverage has reached a boiling point. There’s been a feeding frenzy as a horde of new players has entered the fray. Between any brand and a customer’s table lies a crowded, fiercely competitive marketplace. The advent of food apps and a growing consumer expectation of convenience has further heightened the competition. The latest digital technology provides unprecedented convenience for the consumer and a widening plethora of choices.

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  • Published:
    23 January 2024

    3 Ways Fashion is Using AI This Season

    Fashion brands have always had to stay on the cutting edge of the latest trends. But now, the industry is incorporating technology. Just how is AI changing fashion? Artificial Intelligence promises to reshape whole sectors of the economy, and fashion brands will have to adapt. Companies that use AI or Deep Learning are crafting tomorrow’s trends with precision and personalization. From predicting trends before they happen to getting dynamic pricing right, AI offers a strategic leg up that’s changing an industry. Those who embrace it are not just keeping pace; they’re setting it while competitors trail behind. See how fashion brands are already using AI and step into the future of fashion with us.

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  • Published:
    18 October 2023

    The Top 20 Deep Learning Applications You Need to Know

    When we think about data in the modern world, our thoughts often land upon the famous line from the Rhyme of the Ancient Mariner, “Water, water, everywhere, but not a drop to drink.” Just as ancient sailors could be surrounded by undrinkable ocean water, today we’re drowning in so much data that it can become impossible to leverage its power. Well, it’s impossible without the right tools in any case. As the amount of data we collect has grown, we’ve developed tools that can help us analyze this information and turn it into something useful. The most powerful of these tools is undoubtedly Deep Learning. To understand why, let’s take a look at some of the top Deep Learning applications.

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  • 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.

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  • Published:
    20 March 2023

    [VIDEO] 2023: The year of Deep Learning AI… and what it means for e-commerce

    Where are we in the evolution of artificial intelligence, and what is its place in the marketing ecosystem? To harness the true future potential of any technology, we need to understand its capabilities and limitations today.

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  • 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.

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