How Ulta Beauty Uses AI Personalization to Power Loyalty and Relevance at Scale

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[05:51] Loyalty at Scale as a Competitive Advantage — Kelly shares how Ulta Beauty’s loyalty ecosystem operates as the heartbeat of the business. With 46+ million members driving approximately 95% of sales, loyalty fuels a continuous feedback loop that improves guest experience, merchandising, and operational focus. First-party data allows Ulta Beauty to listen, learn, and respond in real time. This scale turns the Ulta Beauty personalization strategy for 2026 into daily practice, showing how relevance compounds when loyalty, data, and trust work together over time.

[07:54] From Demographics to Motivation-Based Marketing — Kelly explains why Ulta Beauty moved away from broad age and gender buckets toward motivation-based marketing segmentation. Instead of guessing based on who someone is, the team focuses on how guests actually behave in terms of where discovery happens, what drives replenishment, and how shopping patterns evolve over time. Those signals allow Ulta Beauty to anticipate intent and respond with relevance. The result feels personal rather than programmed, reinforcing trust while strengthening the Ulta Beauty omnichannel customer journey across social, digital, and in-store moments.

[18:38] AI, Creativity, and the Future of Marketing Teams — Kelly describes AI as both an engine and an accelerator inside Ulta Beauty. On one side, AI powers recommendations and personalization through a connected Adobe CDP retail marketing strategy that brings customer data together. On the other, Adobe Firefly creative automation helps teams produce more content, more efficiently, without losing quality or intent. The real advantage, Kelly notes, comes from people who stay curious and adaptable, shaping how AI in retail marketing delivers meaningful impact at scale.



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