Sales Analytics
Understanding your analytics is key to growing your vendor business. This guide covers the metrics, reports, and insights available to vendors.
Analytics Dashboard
Accessing Analytics
- Go to Commerce in navigation
- Click Analytics or Dashboard
- View your performance data
Dashboard Overview
At-a-glance metrics:
- Revenue — Today, week, month, all-time
- Sales — Transaction count
- Products — Active product count
- Customers — Unique buyers
Key Metrics
Revenue Metrics
Gross Revenue
- Total sales before commission
- Raw revenue generated
Net Revenue
- Your earnings after commission
- What you actually receive
Average Order Value
- Revenue per transaction
- Indicates pricing effectiveness
Monthly Recurring Revenue (MRR)
- Subscription revenue
- For subscription products
Sales Metrics
Total Sales
- Number of transactions
- Count of orders
Conversion Rate
- Sales / Visitors
- Percentage who buy
Refund Rate
- Refunds / Sales
- Quality indicator
Product Metrics
Best Sellers
- Highest revenue products
- Most popular offerings
Views
- Product page visits
- Discovery measure
View-to-Purchase Rate
- How many viewers buy
- Product page effectiveness
Customer Metrics
New Customers
- First-time buyers
- Audience growth
Repeat Customers
- Returning purchasers
- Loyalty indicator
Customer Lifetime Value
- Total revenue per customer
- Long-term value
Analytics Features
Time Periods
View data across different ranges:
- Today
- Last 7 days
- Last 30 days
- This month
- This quarter
- This year
- Custom range
Filtering
Filter by:
- Product
- Product type
- Category
- Date range
- Customer segment
Comparison
Compare periods:
- This month vs. last month
- This quarter vs. last quarter
- Year-over-year
Reports
Sales Report
Detailed transaction list:
- Date and time
- Product purchased
- Customer (limited info)
- Amount
- Status
Export Options:
- CSV download
- PDF report
- Email scheduled reports
Product Performance Report
Per-product analysis:
- Revenue by product
- Sales count
- Conversion rate
- Refund rate
- Ratings/reviews
Customer Report
Customer insights:
- Acquisition over time
- Purchase patterns
- Geographic distribution
- Repeat purchase behavior
Payout Report
Earnings tracking:
- Earnings by period
- Commission breakdown
- Payout history
- Pending balance
Understanding Your Data
Interpreting Revenue Trends
Rising Revenue
- Growing audience
- Effective marketing
- Product-market fit
Flat Revenue
- Stable business
- May need new products
- Consider expansion
Declining Revenue
- Competition increase
- Product aging
- Market changes
Interpreting Conversion
High Conversion (>5%)
- Strong product-market fit
- Effective descriptions
- Good pricing
Low Conversion (under 1%)
- Targeting issues
- Pricing problems
- Description improvements needed
Interpreting Refunds
Low Refunds (under 2%)
- Quality product
- Clear expectations
- Happy customers
High Refunds (>5%)
- Quality issues
- Mismatched expectations
- Consider improvements
Growth Strategies
Based on Analytics
If views are low:
- Improve SEO/discovery
- Market externally
- Optimize listing title
If conversion is low:
- Improve descriptions
- Add social proof
- Adjust pricing
- Better preview
If refunds are high:
- Improve product quality
- Set clearer expectations
- Better targeting
Optimization Loop
- Check analytics regularly
- Identify issues/opportunities
- Make targeted changes
- Measure results
- Iterate
Comparative Benchmarks
Typical Ranges
| Metric | Poor | Average | Good |
|---|---|---|---|
| Conversion | Under 1% | 2-5% | Over 5% |
| Refund Rate | Over 5% | 2-5% | Under 2% |
| Repeat Rate | Under 10% | 20-30% | Over 40% |
| Rating | Under 3.5 | 4.0 | Over 4.5 |
Your Position
Compare yourself to:
- Platform averages
- Category norms
- Your historical performance
Goal Setting
Revenue Goals
Set realistic targets:
- Monthly revenue goal
- Growth percentage target
- New customer targets
Tracking Progress
Monitor progress:
- Daily/weekly check-ins
- Month-end reviews
- Quarterly assessments
Adjusting Strategy
Based on goal progress:
- Ahead of goal: Scale what works
- Behind goal: Diagnose and adjust
- At goal: Maintain and optimize
Advanced Analytics
Cohort Analysis
Understand customer groups:
- When they joined
- Their behavior over time
- Lifetime value by cohort
Funnel Analysis
Track the customer journey:
- Discovery → View → Purchase
- Where do they drop off?
- What drives completion?
Attribution
Understand traffic sources:
- Where customers come from
- Which sources convert best
- Marketing ROI
Alerts and Notifications
Setting Up Alerts
Get notified of:
- Major sales
- Milestone achievements
- Unusual patterns
- Review notifications
Alert Configuration
- Go to Commerce > Settings
- Configure alert preferences
- Choose delivery method
- Save settings
Exporting Data
Export Options
Download your data:
- CSV for spreadsheets
- PDF for reports
- API access (if available)
Use Cases
Export for:
- Tax preparation
- External analysis
- Business planning
- Investor reporting
Best Practices
Regular Review
- Daily: Quick revenue check
- Weekly: Detailed metrics review
- Monthly: Full analysis and planning
- Quarterly: Strategic assessment
Documentation
Keep records of:
- Changes you make
- Results observed
- Insights gained
- Decisions made
Action Orientation
Analytics are useful only if acted upon:
- Set specific improvement goals
- Make data-driven decisions
- Test and measure changes
- Iterate continuously
Next Steps
- Optimize Products — Improve based on data
- Adjust Pricing — Price optimization
- Grow Your Business — Scale your success