Join YipitData as we dive into the premiumization of beauty and what it means in particular for mass merchants like Target and Walmart. We'll explore the arc of prestige beauty across categories over the years, including which brands and retailers have been leading the charge.
We'll also compare Walmart and Target's distinct beauty strategies, analyzing how each retailer is approaching premium beauty, shopper acquisition, and the growing convergence of beauty and wellness. Backed by YipitData's transaction data, this webinar will uncover which retailer is best positioned to capture the next generation of beauty shoppers.
What you’ll learn:
Space is limited, reserve your spot today!
Questions? Email our event team insights@yipitdata.com
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As new datasets become available with varying levels of accuracy, quality and compliance adherence.
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With each specialized data vendor only contributing to a fraction of the full picture.
Stitching together sources of partial truth to tell a cohesive story to your organization.
Educating users on which data sources to use to answer which business questions.
Our proprietary approach combines various data sources (physical/email receipt, credit card, web-scraped, etc) with predictive modeling to give you the most accurate and granular read on market performance.
Contextualize your performance with sales data by competitor brand in your categories across your key retailers (incl Amazon, Home Depot, and Lowe’s)
Monitor your key competitors’ sell-through, pricing, premium product adoption, retention, cross-shopping, and attachment rates to understand how the market is shifting
Category and sub-category analysis, including customized categorization, granular detail and competitive pricing, discounting, and assortment analysis
