In the high-stakes world of retail marketing, the holiday season often feels like a sprint toward a moving target where every dollar spent must justify its existence. Milena Traikovich, a seasoned expert in demand generation and performance optimization, has spent years helping brands navigate this complexity by turning fragmented data into clear, actionable growth strategies. With the retail landscape becoming increasingly visual and AI-driven, she advocates for a shift away from traditional, narrow measurement models toward a more holistic view of consumer behavior. By bridging the gap between online engagement and physical store traffic, she empowers marketing leaders to stop guessing and start scaling with precision.
The industry often falls into the trap of last-click attribution, yet YouTube seems to consistently outperform traditional channels. How should retail leaders rethink their video investment strategy to capture the full path to purchase?
The reality is that last-click attribution effectively steals credit from the very platforms that spark interest in the first place, leaving marketers blind to what actually drives the sale. When we look at the hard numbers—specifically the analysis of over $2 billion in ad spend across 791 marketing mix models—YouTube consistently emerges as the top performer, delivering a return on ad spend that is 13% higher than television or paid social. This isn’t just about brand awareness; it’s about measurable performance where Demand Gen campaigns are outperforming social media averages by 11% for online sales and 14% for physical store visits. Retail leaders need to present these findings to their finance teams to prove that video isn’t a luxury, but a high-efficiency engine that captures demand before the shopper even thinks about clicking a final buy button. To truly see the impact, you have to imagine the shopper’s journey from seeing a vibrant product demo on their screen to walking through those sliding store doors, a path that traditional last-click models simply cannot map.
You’ve noted that AI-powered campaigns depend entirely on the quality of data they receive. What are the practical steps a brand should take to ensure their data foundation is strong enough to handle the holiday surge?
It all starts with unifying your first-party signals—every app purchase, e-commerce checkout, and in-store register ring needs to flow into a single, cohesive pipeline. If your data is siloed, you’re essentially asking AI to fly a plane in a thick fog, relying on estimates rather than the hard reality of your actual profit margins. We see a massive difference when brands implement a robust data gateway; these advertisers typically experience a conversion uplift of over 20% because the AI finally has a clear view of the finish line. Look at a brand like Petco, which used these unified signals to guide pet owners toward the most convenient shopping method, resulting in a staggering 626% increase in omnichannel ROAS during Cyber Week. They didn’t just see digital growth; they saw a 71% surge in physical store visits, proving that a solid data foundation creates a bridge between the digital world and the tangible experience of brick-and-mortar retail.
Once the shipping cutoffs pass and the pressure of late-season shopping mounts, how can marketing teams use real-time signals to maintain momentum without losing sight of their profit margins?
This is the “crunch time” where agility becomes your greatest asset, as shipping windows close and the frenzy of last-minute shopping shifts toward local pickup and in-store urgency. By integrating view-through and engaged-view conversions into your models, your team can uncover up to 18X more value from YouTube than they would if they were only looking at direct clicks. This expanded view allows AI to automatically pivot your bidding and creative toward shoppers who are likely to drive higher-margin baskets or visit a nearby store for an immediate purchase. It’s about more than just surviving the rush; it’s about using those real-time signals to steer your budget toward the highest-value opportunities as they happen in the real world. When you stop chasing the final click and start valuing the entire journey, you transform your strategy from a desperate scramble into a controlled, high-performance growth engine that keeps running even after the mail trucks stop.
What is your forecast for the evolution of video-driven retail strategy?
I anticipate that the distinction between brand and performance video will completely vanish as AI becomes the standard for connecting top-of-funnel discovery to bottom-of-funnel transactions. From 2026 to 2028, we will see retailers moving away from reactive holiday planning and instead treating video as a 365-day incrementality laboratory where every view is tied to a specific business outcome. We are entering an era where sensory-rich video content won’t just influence a sale but will serve as the primary storefront, where the path to purchase is measured in seconds and spans across every screen and physical aisle. The brands that win will be those that stop viewing YouTube as a digital billboard and start treating it as their most profitable and scalable sales floor. This shift will require a new level of trust between marketing and finance, built on a foundation of incrementality that proves video is a driver of real-world profit, not just digital noise.
