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Natallia Bambiza
Director, Beauty Category Analyst, Makeup and Hair
Natallia Bambiza, director and beauty category analyst at Circana, is an expert in the prestige makeup and hair categories. Her passion for data and the beauty industry, combined with her prior experience in consumer goods and marketing, helps her address industry challenges through deep levels of analysis and thoughtful insights.
Bambiza joined Circana in 2018 following media and marketing roles at L’Oréal USA and Meredith Corporation. She holds a master’s degree in Marketing Analytics and a BBA degree in Marketing Management from Baruch College, Zicklin School of Business.
Recent Posts from
Natallia Bambiza
Wellness now accounts for $1.16 trillion in U.S. consumer spending and continues to expand, but there is a notable gap between value and satisfaction. Circana's latest research pinpoints where that disconnect originates and shows how manufacturers and retailers can turn existing consumer commitment into lasting loyalty and measurable growth.
22 Oct 2026
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Insight-led selling connects AI to verified retail data, account context, and meeting preparation, so every rep walks into a retailer conversation with a data-backed recommendation. Circana’s Liquid AI™ grounds each insight in measurement verified by point-of-sale (POS) data and delivers retailer-ready charts and narratives.
16 Oct 2026
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Consumer use of generative AI jumped from 55% to 67% in under a year, and Circana projects AI agents will soon shape 75% of all purchases. In this new marketplace, algorithms, not shoppers, increasingly decide which products make the cut and brands and retailers make key moves to win.
16 Oct 2026
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When shoppers shift allegiances overnight and margins leave no room for error, a rising sales line can mask a brand that is actually losing ground, while decisions built on partial evidence turn momentum into missed opportunity. Unifying every signal, from the register to the household, exposes the forces behind performance, clarifies the most profitable next move, and gives AI the reliable footing it needs to produce answers leaders can trust.
15 Oct 2026
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