Ulta Beauty partnered with NielsenIQ to survey more than 500 Gen Alpha children and teens on preferences, motivations, and how they interact with AI tools, according to Glossy. The research replaced assumption-based merchandising with documented behavior from the segment itself — a shift from age-group proxies to direct input.
The survey captured what Gen Alpha actually buys, why they buy it, and how they discover products. Ulta used the data to adjust product mix, in-store placement, and digital recommendation logic. The partnership with NielsenIQ provided third-party validation, making the findings defensible to vendors and internal stakeholders who allocate shelf space and marketing spend.
The mechanism works because Gen Alpha does not behave like Millennials or Gen Z at the same age. They grew up with AI chat interfaces, short-form video, and creator economies already mature. Asking them directly what they want — and testing against their stated preferences — produces more accurate merchandising decisions than extrapolating from older cohorts. Ulta now knows which ingredients, packaging formats, and price points this segment prioritizes, and can stock accordingly before competitors close the same research gap.
A small physical-product brand runs the same play by surveying its own customer segment before expanding SKUs or channels. Use a free tool like Google Forms or Typeform. Write 8 to 12 questions: what they bought, why they bought it, what they almost bought instead, where they first heard about the product, what would make them buy again. Aim for 100 to 200 responses. Offer a 10% discount code or entry into a $50 gift card draw as incentive. Cost: under $100 if you already have an email list.
Segment the responses by purchase frequency and average order value. Look for patterns in the high-value repeat buyers: the features they mention, the language they use, the problems they solve with your product. Use that language in product descriptions, ad copy, and email. Adjust your product roadmap to match the features they request most. If 60% of repeat buyers mention a specific use case you never marketed, build the next product or bundle around that use case. You now have documented customer preference instead of founder intuition, and you can cite the survey when pitching retail or wholesale partners.
Ulta's research also covered AI tool interaction, signaling that Gen Alpha expects conversational interfaces and personalized recommendations as default. For a small brand, that translates to investing in post-purchase email sequences that ask follow-up questions and adjust recommendations based on responses. The research investment de-risks product development and makes every downstream marketing dollar more efficient because you are speaking to documented need instead of assumed demographic behavior.