Understand how your brands are performing at Walmart with Scintilla
Get brand‑level insights into shopper behavior and digital performance to better serve customers and grow sales.
Every brand has a story unfolding inside Walmart’s ecosystem. Each day, customers discover, consider, and choose products, and those choices form patterns. These patterns reveal where brands are gaining and losing momentum and where new opportunities are emerging.
Understanding brand performance requires insight into how shoppers behave, how they move within a category, where they switch, what drives their trips, and how digital interactions influence their path to purchase. Scintilla brings these signals together across Shopper Behavior and Digital Landscapes, giving you a clearer view of how your brands resonate with customers today—and where you can steer them tomorrow.
When you understand how your brand is performing, you unlock the ability to make smarter decisions that align more closely with customer needs, to recommend how to optimize product assortments, and ultimately to drive sales.
Two new enhancements that bring brand-level insights to the forefront
Scintilla introduces two updates designed to bring brand insights closer to every decision you make.
Shopper Behavior: Brand Hierarchy makes it easier to access brand-level insights across every Shopper Behavior report, without needing to create custom product groups for each brand. When ordering Shopper Behavior reports, you can now select from either Category → Brand or Subcategory → Brand hierarchy. This helps you work more quickly and efficiently. It delivers insights into which brands experienced the greatest lift or decline and helps you dig into the shopping behaviors driving those changes, including customer penetration, cross-shopping, switching behaviors, and more.
Digital Landscapes: Brand-level benchmarks are available within the Conversion tab for key metrics like Category Median and Top 1% Median. These benchmarks bring brand-level visibility to your funnel performance (detailed page views, add-to-cart measures, and purchases). This allows you to see how your brand compares to both category medians and the top 1% category medians across those measures.
Together, these enhancements sharpen visibility into brand performance across behavioral and digital contexts. This helps you better understand how customers shop your brand at Walmart.
Putting Words into Practice: Unlocking Brand-Level Insights
How might a supplier use Shopper Behavior and Digital Landscapes to better understand brand performance and inform next steps? Let’s say a supplier notices a year-over-year decline in Brand A’s sales and needs to quickly understand what’s driving the change and where the biggest growth levers exist.
In Shopper Behavior: Running a Performance in Detail report using the brand hierarchy, the team identifies that declining purchase frequency is the primary driver of Brand A’s sales decrease. This indicates softening repeat behavior among shoppers and a clear opportunity to re‑engage them. Layering in the Price Sensitivity segmentation shows that Brand A over-indexes among Price Sensitive shoppers, signaling a need for value-based strategies.
In Digital Landscapes: Analyzing the Conversion Count Trend for Brand A reveals that it performs above the category median for detailed page views, but below the category median for purchases. This gap indicates strong interest that isn’t converting and a missed lower-funnel opportunity.
What’s Next?
Armed with these insights, the supplier considers promotional tests and repeat-purchase campaigns aimed at Price Sensitive shoppers, while also strengthening digital conversion drivers such as content clarity, value messaging, and detailed page optimization.
Together, brand-level insights from Shopper Behavior and Digital Landscapes provide a path to boosting performance and unlocking incremental growth.
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