Weekly E-commerce Sales Performance Report

Track and analyze online sales performance across key metrics including revenue, order volume, product categories, and customer behavior to identify trends and opportunities for growth.

Report Objective

Monitor weekly e-commerce sales performance across specialty retail categories, tracking revenue trends, product category performance, and customer behavior metrics to optimize online sales operations and identify growth opportunities.

Revenue and Order Trends

Line chart showing weekly revenue and order volume trends

Questions to Consider:

2024-03-012024-04-012024-05-01week_date$220,000$240,000$260,000total_revenuetotal_revenueWeekly Revenue TrendTrack revenue performance over time to identify patterns and growth opportunities
  • What is the week-over-week revenue growth rate?

  • Are there any notable seasonal patterns?

  • How does current performance compare to previous periods?

  • How is average order value trending over time?

  • What is the relationship between order volume and order value?

  • Are there opportunities to increase average order value?

2024-03-012024-04-012024-05-01week_date$105.00$110.00$115.00average_order_valueaverage_order_valueOrders and Average Order Value TrendsMonitor order volume and value metrics to understand sales patterns

Product Category Performance

Bar chart displaying revenue by product category

Questions to Consider:

Home DecorWellnessAccessoriesCraft SuppliesSpecialty Foodscategory$0$500,000$1,000,000sum(category_revenue)sum(category_revenue)Revenue by Product CategoryAnalyze category performance to identify strengths and opportunities
  • Which categories are the top performers?

  • Are there any underperforming categories?

  • How balanced is our category mix?

Customer Behavior Analysis

Line chart showing conversion rates and customer type breakdown

Questions to Consider:

  • How is the conversion rate trending?

  • What factors might be influencing conversion changes?

  • Are there opportunities to optimize the conversion funnel?

2024-03-012024-04-012024-05-01week_date3.0%4.0%5.0%6.0%sum(conversion_rate)sum(conversion_rate)Weekly Conversion Rate TrendTrack conversion rate changes to assess sales efficiency

2024-03-012024-04-012024-05-01week_date05001,0001,5002,0002,500sum(orders_by_type)NewReturningOrders by Customer TypeCompare new vs returning customer order patterns
  • What is the distribution between new and returning customers?

  • How effective are customer retention efforts?

  • Are there opportunities to improve customer loyalty?

Areas for Additional Focus