Adidas US Sales (2020–2021)
808 Downloads

Description
1. Key Insights
- Post-Pandemic Surge: The "Total sales by Invoice_date" chart reveals a massive disparity between 2020 and 2021. Sales in 2020 were relatively flat and low, while 2021 shows high-frequency, high-volume spikes, indicating a successful post-lockdown recovery or a major shift in consumer behavior.
- Omni-channel Balance: Sales are remarkably well-distributed across methods: In-store (37.5%), Outlet (32.8%), and Online (29.7%). This suggests Adidas has a healthy, balanced retail ecosystem without over-reliance on a single channel.
- Geographic Concentration: Sales are heavily driven by the "Big Three" states: New York, California, and Florida. These are likely the core hubs for Adidas US revenue.
2. Recommendations
- Deep Dive into Profit Margins: While the overall profit margin is 23.79%, it would be beneficial to see this broken down by Sales Method.
- Hypothesis: Online sales might have higher margins due to lower overhead, whereas Outlets might be dragging the average down.
- Integrate Flexa Tables for Variance: Replace the current static "Top 3 States" bar chart with a Flexa Table pivot. This would allow you to see why New York is #1—is it volume or higher-priced items?—and allow users to toggle between 2020 and 2021 variance directly in the grid.
Other Templates
Free Sales & RevenueSuperstore US Sale
1.1k
Free Sales & RevenueSuperstore US Sale Report
1.1k
Free Sales & RevenueRetail Supply Chain & Sales Analysis dashboard
1.3k
If you find this website helpful, share it with friends and colleagues to boost their Power BI skills and work efficiency!
Like this site? Share it
