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Kimberly-Clark found an opportunity in the tissue category to deliver a better shopping experience for customers. Using Scintilla, they leveraged customer data and remapped the modular to meet customer needs and add excitement at the shelf.
The facial tissue industry is trending 11.2% higher than 2022 for a projected total of $893MM in 2023. This dynamic growth happens across four major variants that serve different purposes:
When Kimberly-Clark evaluated the total tissue industry landscape, they found that Walmart was falling behind in category growth. Walmart secured just 6.7% growth against 12.6% in the remaining market. An essential piece of this equation is the additives category, scoring just 1% growth at Walmart vs 4% in the industry, but boasting an average customer spend at 26% higher than other facial tissue subcategories.
Seizing the opportunity, Kimberly-Clark then dug into the numbers with the Switching and Basket reports in Shopper Behavior. What they found was encouraging:
With this information, Kimberly-Clark moved quickly to create an adjusted modular that boasted two additives offerings and associated multipacks across 437 test stores.
The post-modular growth results were impressive:
After only 13 weeks, the Shopper Behavior Cross Shop report began to show that tissue variants were being increasingly purchased together ahead of cough, cold, and flu season–the busiest time of year for the category. Additives facial tissues were purchased frequently alongside other items, pointing to category expansion rather than cannibalization. The Trial and Repeat report indicated a marked increase in purchase frequency as well for stores boasting the new modular.
With the timely insights provided by Shopper Behavior, Kimberly-Clark was able to identify customer behaviors and act on solutions before the most critical season for the facial tissue category. The category is now poised for growth as the additives modulars are scaled to more stores to better serve Walmart customers. Explore the Kimberly-Clark case study to learn more.
References:
Proprietary First-Party Data, Scintilla 2023
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