Sports Footwear Sales & Consumer Behavior

By ranjeetverma3084 · January 27, 2026

Data source :

Women are the top revenue-generating gender segment, bringing in $3,085,078.30 in total revenue. The analysis includes two interactive visualizations showing revenue distribution across gender segments and their category preferences.

I've analyzed the revenue performance and average order values across your product categories. The visualization shows two side-by-side charts comparing total revenue generated by each category and the average order value for each category.

The analysis shows how customer income levels affect their purchasing behavior through two key metrics: average order value and average units purchased per order. The visualization displays side-by-side bar charts comparing these metrics across different income segments.

The analysis reveals how different discount levels affect both units sold and total revenue. A visualization has been created with two side-by-side bar charts showing the relationship between discount percentages and sales performance.

The analysis successfully identified brand revenue performance and market share distribution across your dataset. Two visualizations were created: a bar chart showing total revenue by brand and a pie chart displaying market share percentages. The total market revenue amounts to $9,081,448.45.

Online and retail sales channels show remarkably similar performance across both revenue and customer ratings. Each channel generated approximately $4.54 million in total revenue from about 15,000 orders, with both achieving an identical average customer rating of 4.0 stars.

I've created a comprehensive visualization showing how total revenue and units sold have trended from 2018 to 2026. The chart displays revenue as bars and units sold as a line graph, making it easy to compare both metrics over time.

There is essentially no relationship between final price and customer rating across brands. The overall correlation is -0.005, which is extremely weak and close to zero.

The analysis reveals that UAE is the top revenue-generating country in your dataset. Two comprehensive visualizations have been created: one showing the top 10 countries by total revenue, and another displaying the compound annual growth rates (CAGR) across these leading markets.

The analysis reveals clear seasonality patterns in your revenue data across quarters. A quarterly revenue chart has been generated showing how revenue varies throughout the year, with color-coding to indicate which quarters perform above or below the average.

Bank Transfer is the most popular payment method overall, accounting for 7,686 orders (25.6% of all transactions). The analysis reveals distinct payment preferences across different countries and income levels, with two interactive visualizations showing how payment method usage varies by geographic location and customer income segments.

I've analyzed which colors generate the most sales and how preferences vary by category. Two visualizations were created to show these patterns: a bar chart displaying total revenue by color, and a heatmap revealing how color preferences differ across product categories.

I've analyzed which product categories perform best in each country based on revenue. Two visualizations were created to show the results: a heatmap displaying revenue across all country-category combinations, and a bar chart highlighting the top-performing category in each country.

Size 7 has the highest overall demand and revenue across all categories. However, preferences vary significantly by gender: Women's top size is 6 (4,311 units sold), while both Men and Unisex categories show size 7 as most popular (4,284 and 4,200 units respectively).

The analysis successfully examined customer ratings across brands and their relationship with revenue. A comprehensive visualization was created showing two key perspectives: average ratings by brand in a bar chart, and the correlation between ratings and total revenue in a scatter plot.

Based on the historical data analysis, I've created a comprehensive visualization showing your revenue growth trajectory from 2018 through 2026. The chart displays both the actual revenue in millions of dollars (shown as bars) and the year-over-year growth rate (shown as a line), giving you a complete picture of your business performance and projected growth.

The top 10% highest revenue orders (those generating $568 or more) represent 3,002 orders with distinctive characteristics. These premium orders average $669 in revenue, involve 3.84 units per order, and have an average final price of $175 per item.

The analysis reveals how different brands use discount strategies and their relationship with units sold. Two interactive visualizations were created: a heatmap showing average units sold by brand at different discount levels, and a scatter plot comparing each brand's average discount percentage against their average units per order.