Retail marketers often rely on video campaigns to drive holiday season sales, but traditional measurement methods like last-click attribution can misallocate credit and miss the full impact of video-driven demand. A study by Google and TransUnion, analyzing over $2 billion in Q4 retail ad spend across 25 U.S. brands, found that YouTube ranked No. 1 in return on ad spend (ROAS), outperforming TV, other video, and paid social by 13%. Demand Gen campaigns on YouTube also delivered an 11% higher online ROAS and 14% higher in-store ROAS compared to paid social averages.
To maximize holiday video campaign effectiveness, retailers should build a strong data foundation by unifying first-party signals from in-store registers, app purchases, and e-commerce checkouts. This approach allows AI-powered campaigns to optimize based on actual profit rather than estimates. Petco, for example, connected its first-party data to Demand Gen campaigns, resulting in a 626% increase in omnichannel ROAS and a 71% surge in physical store visits during Cyber Week.
Before the holiday rush, retailers should set incrementality baselines by translating year-round lift studies and marketing mix models (MMM) into preseason benchmarks. This helps identify which video channels have the most potential for growth. During the holiday season, real-time signals can guide budgets toward higher-margin baskets and nearby foot traffic, ensuring campaigns adapt to shifting consumer behavior.
Accurate measurement beyond last-click attribution is crucial. Fospha’s media mix attribution data shows that advertisers uncover up to 18X more value from YouTube campaigns when they include view-through and engaged-view conversions. By connecting store and online data early, setting baselines with finance, and steering with real-time signals, retailers can turn Q4 video measurement into a year-round growth engine.