E-commerce Order Analysis

Industry: E-commerce | Tools: Microsoft Excel

Executive Summary

The e-commerce business faced inconsistent sales growth despite an increase in website traffic. Analysis of 31,047 sales records revealed key insights about customer demographics and regional performance.

Total Orders

31,047

Women Customers

64%

Top Age Group

18-34

Delivery Success

92%

Problem Statement

Core Issue

Despite consistent traffic growth, the business was unable to determine why sales were fluctuating in some regions and channels, with particular difficulty in identifying high-performing customer segments.

Key Questions

  • What are the key demographic trends in terms of customer gender and age?
  • Which sales channels are driving the most revenue?
  • How do sales differ across states, and which regions are the strongest performers?

Objectives & Key Metrics

Objective Metric Tracked Result Achieved
Identify high-performing channels Sales by Channel Flipkart and Amazon contribute over 60% of total sales.
Optimize regional sales focus Sales by State Maharashtra and Karnataka lead in sales volume.
Enhance customer targeting Customer Demographics Women account for 64% of total orders; Emerging Adults lead in order volume.

Data Overview

Data Sources

E-commerce order data, including customer demographics, sales transactions, and order status.

Key Variables

  • Amount: Total sales value (USD)
  • Qty: Order quantity
  • Gender: Customer gender (Men/Women)
  • Age Group: Segmentation of customers by age (Youth, Emerging Adults, Established Adults, Mature Adults)
  • Region: Geographic sales distribution (State-wise)

Data Challenges

Standardization of gender data and age categorization for more accurate segmentation.

Methodology

Data Cleaning

  • Standardized gender and age data for clearer segmentation.
  • Addressed missing values and corrected outliers in the sales and order data.

Analysis Techniques

  • Used pivot tables for monthly aggregation of sales and order quantities.
  • Applied line charts and pie charts to visualize trends and customer distribution.

Tools

Microsoft Excel for data analysis, charts, and dashboard creation.

Key Insights

1

Women Drive Majority of Sales

What: Women contribute 64% of total orders.

So What: Women represent a primary customer demographic, and marketing efforts tailored to women could increase sales by 10%.

Figure 1: Gender Distribution of Orders

2

Emerging Adults Lead in Orders

What: Emerging Adults (18–34) represent 40% of total orders.

So What: This age group is key for continued growth. Tailored promotions or loyalty programs aimed at this demographic could increase order volume by 15%.

Figure 2: Orders by Age Group

3

Sales Channels Performance

What: Flipkart and Amazon contribute over 60% of total sales.

So What: Focusing on strengthening partnerships with these platforms can boost sales. Additional investments in marketing these channels could lead to further growth.

Figure 3: Sales by Channel

4

Regional Insights

What: Maharashtra and Karnataka lead in sales.

So What: These regions should be prioritized for further investment, including regional promotions, stock allocation, and targeted campaigns.

Figure 4: Sales by State

Recommendations & Business Impact

Focus on Women-Centric Marketing Campaigns

Implement specialized marketing strategies targeting women to capitalize on the 64% order share from female customers.

Expected Impact

Increase female engagement by 10%

Owner

Marketing Team

Target Emerging Adults with Tailored Offers

Implement tailored promotions and loyalty programs for the 18-34 age group which represents 40% of orders.

Expected Impact

Boost orders by 15%

Owner

Marketing Team

Strengthen Presence on Flipkart and Amazon

Reinforce partnerships with these platforms which contribute over 60% of sales through enhanced marketing.

Expected Impact

Increase sales by 12%

Owner

Sales Team

Expand Regional Promotions in Maharashtra and Karnataka

Implement localized marketing and inventory adjustments in these top-performing regions.

Expected Impact

Increase regional sales by 8%

Owner

Regional Managers

Caveats & Next Steps

Limitations

The dataset lacked real-time updates on inventory and delivery statuses, which could affect decision-making around stock levels and order fulfillment.

Next Steps

  • Integrate live data feeds to enable dynamic reporting and provide real-time insights.
  • A/B test marketing campaigns targeting Emerging Adults and women, focusing on promotional strategies and loyalty programs.
  • Monitor regional sales performance continuously to adjust inventory and marketing spend in key states.

Appendix

Dashboard Appendix

E-commerce Order Analysis Dashboard

The appendix provides access to the original Excel dashboard and supporting documentation. You can explore the raw data, pivot tables, and all visualizations used in this analysis. This resource is ideal for further exploration or validation of the findings presented above.