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How does Agentic AI impact the holiday path to purchase?
Black Friday has long been defined by speed. Shoppers saw a deal, felt the pressure of a limited inventory, and bought before the moment passed. That pattern is changing. New RTB House research, Who’s Buying? Consumer Trust in the Age of Agentic AI, shows that artificial intelligence tools are reshaping Black Friday consumer behavior, turning rapid impulse buying into a longer, AI-guided evaluation period. For performance marketers, this shift changes when, where, and how holiday shoppers can be won over.
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The Retargeting Statistics All Marketers Need to Track to Optimize Their Campaigns in 2023
Any seasoned marketer will happily tell you that retargeting is one of the best ways to engage with potential customers on the open web. The approach allows you to find and connect with people who have previously shown interest and is a powerful tool when used correctly. But how do you measure and optimize a retargeting campaign? Well, that’s where the real fun starts—we use retargeting statistics.
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5 Ways Deep Learning Can Increase Conversion Rates for Your Ad Campaigns
Performance marketing teams using Deep Learning and AI-powered optimization are seeing significant improvements in marketing conversion rates through greater campaign effectiveness. Here's how to increase conversion rates using the latest technology.
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Should I Be Using Multiple Retargeting Providers?
Ask ten marketers whether you should run two retargeting vendors simultaneously and you'll get ten different answers. We think the data settles it—but we'll let you decide.
Core takeaway
Multiple retargeting means running two or more retargeting vendors simultaneously against the same pool of site visitors. Because each vendor uses different algorithms to evaluate user intent, they identify different high-value opportunities within the same audience. The result: more conversions, without proportionally increasing your budget. The biggest objections—overlap, bid inflation, added complexity—don't hold up under scrutiny. The data consistently favors a stack approach.
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Busting 4 Myths About Working with a Single Retargeter
Legacy Machine Learning solutions have much to lose when clients learn an inconvenient truth: using two different-in-kind retargeters leads to demonstrably superior performance. For this reason, legacy vendors tout a “one retargeter” approach to programmatic advertising that doesn’t align with the lived reality of marketers. The one retargeter strategy is driven by a vendor’s internal business concerns, not by what’s best for their clients. If a single-vendor retargeting strategy were so superior and so powerful, why would a proper retargeting stack be such a threat to legacy Machine Learning vendors?
I’m going to look at, and then disprove, four myths around the choice of a single- or multiple-vendor retargeting strategy. And I’ll explain why sophisticated markers build programmatic marketing stacks.
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Branding Versus Performance: How BMW Tackles its Dual Marketing Challenges
A globally-recognized brand like BMW is hugely valuable, yet the company still has to sell product to survive. Group Marketing Director Marie Dellbrant reveals how she balances these twin demands and manages creatives on either side.