Track and analyze online sales performance metrics across department store e-commerce operations, focusing on revenue, conversion rates, and customer behavior to optimize digital retail operations and drive growth.
Report Objective
Monitor and evaluate the department store's e-commerce performance on a weekly basis, analyzing key sales metrics, customer behavior patterns, and operational efficiency indicators to identify opportunities for growth and areas requiring immediate attention.
Revenue Performance and Trends
Line chart showing weekly revenue trends with conversion rates
Questions to Consider:
How does current week revenue compare to previous periods?
What is the average order value trend?
Which product categories are driving revenue growth?
Are there specific days showing stronger performance?
What is the week-over-week revenue growth rate?
Are there any seasonal patterns in revenue?
How does current performance compare to targets?
How has the conversion rate changed over time?
What factors might be influencing conversion rate changes?
Are there specific days with notably higher conversion rates?
Customer Behavior and Cart Analysis
Bar chart displaying cart metrics and abandonment rates
Questions to Consider:
What is the cart abandonment rate and how has it changed?
Which product combinations show strong correlation?
How do different customer segments behave?
What is the impact of promotional activities on cart value?
What is driving changes in cart abandonment?
How do abandonment rates vary by product category?
What impact do promotions have on abandonment rates?
How is average order value trending?
What product mix drives higher order values?
How effective are up-selling strategies?
Operational Efficiency Metrics
Table showing key operational metrics
Questions to Consider:
How is the site performance affecting conversion?
What is the status of inventory availability?
Are there any fulfillment bottlenecks?
How effective are our search and navigation functions?
week_date
page_load_time
inventory_availability
2024-02-15
2.1
92.0%
2024-02-16
2.1
91.4%
2024-02-17
2.2
91.7%
2024-02-18
2.1
91.6%
2024-02-19
2.2
91.7%
2024-02-20
2.2
91.5%
2024-02-21
2.2
91.2%
2024-02-22
2.1
91.5%
2024-02-23
2.0
91.6%
2024-02-24
2.0
92.0%
Are there any concerning trends in site performance?
How is inventory availability affecting sales?
What operational improvements could boost performance?