Kumarghat eCommerce Trends | Last 3 Months Analytics - Shiprocket Trends
Overview
This comprehensive eCommerce analytics report provides detailed insights into Kumarghat eCommerce trends for the Last 3 Months period. The report analyzes order patterns, product performance, customer behavior, and payment preferences to help businesses understand market dynamics and optimize their eCommerce strategies in the region.
Orders Trends Analysis
Let's begin by examining the order patterns over the selected period. The data shows how order volumes have evolved in time, with Dec 01 - Dec 31 recording the highest order volume. We can also see the proportion of discounted orders throughout this period, which provides insight into promotional activity and customer acquisition strategies.
Order Value Distribution Analysis
Understanding the price sensitivity of your customers is crucial. The order value distribution reveals that the ₹500 - 1000 price range is the most popular segment, accounting for the largest share of orders. This is followed by the ₹2000 - above and ₹250 - 500 brackets, showing clear customer preferences in terms of purchase value.
Critical Business Metrics
Now let's look at the critical metrics that define business health.
The Gross Merchandise Value (GMV) shows a positive trend of 14% compared to the last 30 days. The percentage of discounted orders is currently at 0%, showing a negative trend of 69% compared to the last 30 days. The Average Order Value (AOV) is ₹1460, indicating a positive trend of 14% compared to the last 30 days. Finally, the Return to Origin (RTO) rate is 67%, with a positive trend of 51% compared to the last 30 days.
Top Selling Categories Performance
The category performance reveals important insights about market demand. The leading category is Health & Beauty, which ranks in the 100th percentile. Following this are Apparel & Accessories and Arts & Entertainment, which together represent the primary focus areas for your customer base.
Top Sub-Categories and Product Analysis
Diving deeper into category performance, the most popular sub-categories are Personal Care with a value of 100.0, Skin Care with 80.0, and Health Care with 40.0. These sub-categories are all nested within the Health & Beauty parent category.
At the product level, the items driving the most sales are Activewear with a value of 100.0, Board & Card Games with 100.0, and Hair Spray with 100.0. These products span across different categories, indicating diverse customer interests.
Payment Methods and Customer Preferences
Customer payment preferences tell us about trust and convenience factors. 13% of orders are placed using prepaid methods, while 87% prefer Cash on Delivery (COD). This distribution indicates a strong preference for COD in this region.
Buyer Segments and Behavioral Analysis
The customer base can be segmented into distinct behavioral groups. The largest segment is WEEKEND_SHOPPER with 42% of the customer base, followed by QUALITY_FIRST_SHOPPER at 26% and VALUE_SEEKER at 21%. Understanding these segments helps in tailoring marketing and product strategies.
Customer Retention and Loyalty Metrics
Customer retention is a key indicator of business health. 73% of the customers are new to the platform, while 27% are returning customers.
Order Placement Timings and Shopping Patterns
Finally, understanding when customers prefer to shop is essential for inventory and customer service planning. The data shows that the peak time for placing orders is between 12 - 6 AM on Sunday, with the highest concentration of orders in the 12 - 6 AM range. The activity is notably lower during the 12 - 6 AM period, which is typical for most eCommerce platforms.