Store Analytics

Business intelligence and reporting for WooCommerce stores.

When to Use This Skill

• Generating sales reports
• Analyzing customer behavior
• Tracking revenue trends
• Identifying best-selling products
• Customer segmentation analysis
• Sending performance summaries

Core Capabilities

Sales Analytics

• Revenue tracking with woo_reports
• Order volume analysis
• Average order value (AOV)
• Conversion rate tracking

Customer Analytics

• Customer lifetime value (CLV)
• Purchase frequency
• Customer segmentation
• Retention analysis

Product Analytics

• Best sellers identification
• Slow movers detection
• Category performance
• Product profitability

Key Metrics

Revenue Metrics

• Gross Revenue: Total sales before deductions
• Net Revenue: After refunds and discounts
• AOV: Average order value
• Revenue per Customer: Lifetime value

Order Metrics

• Order Volume: Total orders
• Conversion Rate: Visitors to buyers
• Cart Abandonment: Incomplete checkouts
• Refund Rate: Returns as % of orders

Customer Metrics

• New Customers: First-time buyers
• Returning Customers: Repeat purchasers
• Customer Retention: Repeat rate
• Churn Rate: Customers lost

Workflow

Daily Sales Check

1. Revenue Summary

   • Pull daily report with woo_reports
   • Compare to previous day/week/year
   • Note significant changes

2. Order Review

   • Check new orders
   • Identify high-value orders
   • Note any issues

3. Quick Alerts

   • Unusual activity
   • Revenue spikes/drops
   • Customer complaints

Weekly Analysis

1. Revenue Trends

   • Week-over-week comparison
   • Category breakdown
   • Product performance

2. Customer Insights

   • New vs. returning with woo_customers
   • High-value customer activity
   • At-risk customers

3. Report Generation

   • Create summary report
   • Send to stakeholders via email
   • Document insights

Monthly Deep Dive

1. Comprehensive Report

   • Full month revenue analysis
   • Customer cohort analysis
   • Product category trends

2. Trend Analysis

   • Month-over-month growth
   • Year-over-year comparison
   • Seasonal patterns

3. Recommendations

   • Inventory suggestions
   • Marketing opportunities
   • Pricing adjustments

Report Templates

Daily Summary

📊 Daily Store Report - [Date]

Revenue: $[amount] ([+/-]% vs yesterday)
Orders: [count] ([+/-]% vs yesterday)
AOV: $[amount]
New Customers: [count]

Top Products:
1. [Product] - $[amount]
2. [Product] - $[amount]
3. [Product] - $[amount]

Weekly Summary

📈 Weekly Store Report - Week of [Date]

Total Revenue: $[amount] ([+/-]% vs last week)
Total Orders: [count]
Average Daily Revenue: $[amount]
Conversion Rate: [%]

Top Categories:
- [Category]: $[amount] ([%] of total)
- [Category]: $[amount] ([%] of total)

Customer Breakdown:
- New Customers: [count] ([%])
- Returning Customers: [count] ([%])

Customer Segmentation

RFM Analysis

• Recency: When did they last purchase?
• Frequency: How often do they buy?
• Monetary: How much do they spend?

Segments

Segment	Recency	Frequency	Monetary	Action
Champions	Recent	Often	High	Reward & retain
Loyal	Recent	Often	Medium	Upsell
Promising	Recent	Occasional	Low	Nurture
At Risk	Old	Often	High	Win back
Hibernating	Old	Occasional	Low	Re-engage

Best Practices

1. Set benchmarks - Know your baseline
2. Track trends - Not just snapshots
3. Segment data - Don't average everything
4. Act on insights - Analysis drives action
5. Regular cadence - Daily, weekly, monthly
6. Share findings - Keep team informed