Scaling D2C Brands: YouTube, Amazon, Retail Measurement

When Arctic Coolers launched in Walmart, OMG Commerce designed a 16-market YouTube test with clear control markets. By measuring Walmart's retail sales data across test versus control markets over eight weeks, they documented 25-45% sales lifts attributable to YouTube—while a concurrent connected TV test showed minimal impact. This rigorous approach to incrementality testing gave the brand confidence to scale YouTube investment and proved that performance creative (creator content showing product durability) combined with lifestyle branding could drive in-store purchases.

OMG Commerce's YouTube success comes from treating the platform as both brand-building and performance-driving. For Arctic, they mixed high-production lifestyle content (people using coolers at beaches and campsites) with creator-generated stress tests (dragging coolers behind vehicles, dropping them from porches). For the snack brand, UGC mashup videos quickly matched Meta's customer acquisition costs. The lesson: YouTube creative must balance storytelling with clear product benefits and calls-to-action rather than treating the platform as pure brand awareness.

Brett emphasizes that brands need to look beyond last-click attribution and in-platform ROAS. OMG Commerce uses a combination of incrementality testing, multi-touch attribution, and in-platform measurement to understand how YouTube influences Amazon sales, D2C conversions, and retail purchases. This holistic view prevents brands from killing channels that appear unprofitable in-platform but actually drive significant indirect value through search behavior and consideration.

OMG Commerce built a Client Sentiment Tracker that ingests data from Slack messages, email threads, call recordings, and reporting dashboards daily. The AI assigns sentiment scores to detect whether relationships are trending positive, neutral, or negative—and flags concerning silence patterns that might indicate brewing dissatisfaction. This allows leadership to intervene proactively rather than reactively, addressing small issues before they become churn risks.

Rather than using AI to generate finished ads, OMG Commerce uses Claude to analyze raw UGC footage, existing high-performers, and proven creative frameworks to suggest new mashup concepts and editing approaches. The AI accelerates the creative brief process for human editors rather than replacing creative judgment. This approach maintains quality while dramatically reducing the time spent combing through footage and brainstorming combinations.

Brett candidly discusses growing OMG Commerce to 60-70 people during COVID's e-commerce boom, then realizing the team was oversized when market conditions normalized. The agency corrected back to 40 people, focusing on profitability and efficiency rather than headcount or top-line revenue. This mirrors the correction many D2C brands experienced when transitioning from "growth at all costs" to sustainable unit economics. The lesson: build teams sized for sustainable client loads, not peak moments.

OMG Commerce started with search marketing, became world-class at Google Shopping, then systematically added YouTube, Meta, and Amazon capabilities. Brett advises against trying to be good at everything immediately—instead, achieve excellence in one channel where you can demonstrate clear results, build team expertise and systems, then expand methodically. This specialization-first approach builds credibility and allows you to cross-sell additional services to satisfied clients rather than being mediocre across multiple channels.