Reading Your Analytics Reports
Watch Video Tutorial: [VIDEO_PLACEHOLDER]
Ready to dive deeper into your shop's performance? Your Analytics page gives you detailed insights that go way beyond your dashboard. Let's learn how to read and use these reports to grow your business!
Navigation: Getting to Analytics
- Go to Seller Panel (click your profile icon → Seller Panel)
- In the left sidebar, click on Analytics
- You'll see your comprehensive analytics dashboard
Bookmark this page! You'll want to review your analytics at least weekly.
Analytics Overview: What's Different from Dashboard?
Your Dashboard shows quick stats and recent activity - perfect for daily checks.
Your Analytics page shows:
- Longer time periods (up to 12 months)
- More detailed breakdowns
- Advanced filtering options
- Deeper insights into customer behavior
- Product-level performance data
- Traffic source analysis
Think of it this way:
- Dashboard = Daily health check
- Analytics = Monthly doctor's appointment with full diagnosis
Main Analytics Sections
Your Analytics page has 6 main tabs:
- Overview - Big picture performance
- Sales - Revenue and order details
- Traffic - Where your visitors come from
- Products - Individual product performance
- Customers - Who's buying from you
- Conversion - How well you turn visitors into buyers
Let's explore each section!
Section 1: Overview Tab
This is your starting point - a bird's-eye view of your shop's performance.
Key Metrics Displayed
Total Revenue
What it shows: Your gross sales for the selected time period
Example: "$5,247.89 (Last 30 days)"
Comparison: Shows percentage change vs. previous period
- "+23% vs. last month" = Growing! 📈
- "-15% vs. last month" = Declining 📉
What to do:
- Growing: Keep doing what you're doing!
- Declining: Time to analyze what changed and take action
Total Orders
What it shows: Number of orders received
Example: "87 orders (Last 30 days)"
Why it matters: Track customer volume separately from revenue. You might have fewer orders but higher revenue (expensive items) or vice versa.
Calculate Average Order Value: Total Revenue ÷ Total Orders
Example: $5,247.89 ÷ 87 = $60.32 average order value
Total Visitors
What it shows: Unique visitors to your shop
Example: "1,234 visitors (Last 30 days)"
Why it matters: This is the top of your sales funnel. More visitors = more potential customers.
What's a "unique visitor"? Each person is counted once, even if they visit multiple times.
Conversion Rate
What it shows: Percentage of visitors who made a purchase
Example: "7.05% (87 orders ÷ 1,234 visitors)"
Benchmarks:
- 2-4%: Average for e-commerce
- 5-7%: Good performance
- 8%+: Excellent!
Low conversion? Your products might need:
- Better images
- More competitive pricing
- Clearer descriptions
- Customer reviews
Average Order Value (AOV)
What it shows: Average amount spent per order
Example: "$60.32"
Why it matters: Higher AOV = more revenue per customer
How to increase AOV:
- Bundle products together
- Offer volume discounts
- Create premium product options
- Suggest related products
Revenue Per Visitor
What it shows: How much revenue each visitor generates on average
Example: "$4.25 (Total Revenue ÷ Total Visitors)"
Why it matters: This combines traffic and conversion into one metric. Increase this by:
- Improving conversion rate
- Increasing average order value
- Both!
Time Period Selector
At the top of the Overview tab, you can select:
- Last 7 days: See this week's performance
- Last 30 days: Monthly view (most common)
- Last 3 months: Quarterly trends
- Last 12 months: Annual performance
- Custom range: Pick any date range
Pro Tip 💡: Compare the same time periods year-over-year to account for seasonality. December 2024 vs. December 2023 is more meaningful than December vs. November.
Trend Charts
Below the key metrics, you'll see line charts showing trends over time:
Sales Trend Chart
- Daily revenue plotted over your selected time period
- Hover over any point to see exact numbers
- Look for patterns: weekends, holidays, promotions
Orders Trend Chart
- Daily order volume
- Compare with sales chart to understand order value trends
Traffic Trend Chart
- Daily visitor count
- Identify traffic spikes and investigate what caused them
What to look for:
- Consistent growth: Healthy business trajectory
- Spikes: What caused them? Can you replicate?
- Drops: What happened? How can you prevent it?
- Patterns: Weekly or seasonal trends
Section 2: Sales Tab
Dive deep into your revenue and order data.
Sales Breakdown
By Product Type
What it shows: Revenue split across product types (T-Shirts, Mugs, Posters, etc.)
Example:
- T-Shirts: $3,200 (61%)
- Hoodies: MARKDOWN; } },500 (29%)
- Mugs: $547 (10%)
How to use this:
- Focus on winners: Create more products in your top-selling types
- Improve underperformers: Better images or pricing for low-selling types
- Diversify: If 90% of sales come from one type, consider expanding
By Day of Week
What it shows: Which days generate the most sales
Example:
- Monday: $450
- Tuesday: $520
- Wednesday: $480
- Thursday: $510
- Friday: $890 (spike!)
- Saturday: MARKDOWN; } },200 (biggest day!)
- Sunday: MARKDOWN; } },197
How to use this:
- Schedule promotions: Run sales on your best days
- Social media: Post on days before your peak sales days
- Inventory: Ensure stock is ready for high-traffic days
By Hour of Day
What it shows: Peak shopping hours
Example:
- 8am-12pm: Low activity
- 12pm-3pm: Lunch hour spike
- 3pm-6pm: Moderate
- 6pm-10pm: Peak shopping time!
- 10pm-8am: Low activity
How to use this:
- Email campaigns: Send during peak hours
- Customer support: Be available during busy times
- Product launches: Schedule for peak hours
Order Details
Order Status Breakdown
What it shows: Where your orders are in the fulfillment process
Example:
- Pending: 5 orders (need attention!)
- Processing: 12 orders (being prepared)
- Shipped: 45 orders (on the way)
- Delivered: 25 orders (completed)
Action items:
- Pending orders: Fulfill these ASAP!
- Processing orders: Ensure they ship on time
- Shipped orders: Monitor delivery status
- Delivered orders: Follow up for reviews
Average Fulfillment Time
What it shows: How long it takes you to ship orders
Example: "1.8 days average"
Benchmarks:
- Under 24 hours: Excellent!
- 1-2 days: Good
- 3-5 days: Acceptable
- Over 5 days: Too slow - customers will complain
Why it matters: Fast fulfillment = happy customers = good reviews = more sales!
Section 3: Traffic Tab
Understand where your visitors come from and how they find you.
Traffic Sources
Direct Traffic
What it is: People who typed your shop URL directly or used a bookmark
Example: "234 visitors (19%)"
What it means: These are people who already know about your shop - returning customers or people who saved your link.
How to increase: Build brand awareness, encourage bookmarking
Search Traffic
What it is: Visitors who found you through the platform's search
Example: "567 visitors (46%)"
What it means: Your SEO is working! People are finding your products through search.
How to increase:
- Optimize product titles with keywords
- Use all 10 tag slots
- Write detailed descriptions
- Choose accurate categories
Social Media Traffic
What it is: Visitors from Facebook, Instagram, Twitter, Pinterest, etc.
Example: "123 visitors (10%)"
What it means: Your social media marketing is driving traffic.
How to increase:
- Share products on social media regularly
- Use relevant hashtags
- Engage with your audience
- Run social media ads
Affiliate Traffic
What it is: Visitors from affiliate links
Example: "89 visitors (7%)"
What it means: Affiliates are promoting your products.
How to increase:
- Enable affiliate program on more products
- Increase commission rates
- Recruit more affiliates
- Provide marketing materials
Referral Traffic
What it is: Visitors from other websites, blogs, or forums
Example: "45 visitors (4%)"
What it means: Other sites are linking to your shop.
How to increase:
- Reach out to bloggers for features
- Get listed in product directories
- Participate in online communities
- Create shareable content
Email Traffic
What it is: Visitors from email campaigns
Example: "176 visitors (14%)"
What it means: Your email marketing is effective.
How to increase:
- Build your email list
- Send regular newsletters
- Promote new products via email
- Run email-exclusive sales
Top Search Keywords
What it shows: Keywords people used to find your products
Example:
- "mountain landscape t-shirt" - 45 searches
- "nature hiking apparel" - 32 searches
- "outdoor adventure clothing" - 28 searches
- "scenic mountain design" - 21 searches
- "wilderness tshirt" - 18 searches
How to use this:
- Add these as tags: If they're not already tags, add them!
- Use in titles: Incorporate popular keywords into product names
- Create more products: Make products targeting these keywords
- Optimize descriptions: Include these terms naturally
Traffic by Device
What it shows: Desktop vs. mobile vs. tablet visitors
Example:
- Mobile: 65%
- Desktop: 30%
- Tablet: 5%
Why it matters: If most visitors are mobile, ensure your product images and descriptions look great on phones!
Section 4: Products Tab
See how each individual product is performing.
Product Performance Table
For each product, you'll see:
Views
What it shows: How many times the product page was viewed
Example: "234 views"
What it means: This product is getting attention!
Low views? The product might need:
- Better title (more searchable keywords)
- Better main image (more eye-catching)
- Better tags (more discoverable)
Add to Cart Rate
What it shows: Percentage of viewers who added the product to cart
Example: "12.4% (29 adds ÷ 234 views)"
Benchmarks:
- 5-10%: Average
- 10-15%: Good
- 15%+: Excellent!
Low rate? Consider:
- Price might be too high
- Images might not show product clearly
- Description might not be compelling
Purchase Rate
What it shows: Percentage of viewers who actually bought
Example: "8.5% (20 purchases ÷ 234 views)"
Why separate from add-to-cart? Some people add to cart but don't complete checkout. This shows your actual conversion.
Low purchase rate but high add-to-cart? People are interested but something stops them at checkout:
- Shipping costs too high
- Checkout process too complicated
- Payment options limited
Revenue
What it shows: Total revenue generated by this product
Example: "MARKDOWN; } },247.50"
Sort by revenue: Find your top earners!
Units Sold
What it shows: Number of items sold
Example: "52 units"
Compare with revenue: High units + low revenue = cheap product. Low units + high revenue = expensive product.
Product Comparison
Select multiple products to compare side-by-side:
- Which has better conversion?
- Which gets more traffic?
- Which generates more revenue?
Use this to:
- Learn from your best performers
- Identify underperformers to improve
- Decide which products to promote
Section 5: Customers Tab
Understand who's buying from you.
New vs. Returning Customers
What it shows: First-time buyers vs. repeat customers
Example:
- New customers: 68 (78%)
- Returning customers: 19 (22%)
Why it matters:
- High new customers: Good at attracting new buyers
- High returning customers: Good at retention (even better!)
Goal: Increase returning customer percentage over time
How to increase returns:
- Excellent product quality
- Fast shipping
- Great customer service
- Email marketing to past customers
- Loyalty programs or discounts
Customer Lifetime Value (CLV)
What it shows: Average total spent by each customer over time
Example: "$73.45"
Calculation: Total Revenue ÷ Total Unique Customers
Why it matters: Higher CLV = more valuable customers
How to increase CLV:
- Encourage repeat purchases
- Offer product bundles
- Create product lines (customers buy multiple related items)
- Email marketing to past customers
Top Customers
What it shows: Your best customers by total spending
Example:
- Sarah M. - $245.80 (4 orders)
- John D. - $198.50 (3 orders)
- Emily R. - $176.25 (2 orders)
How to use this:
- Thank them: Send a personal thank-you message
- Reward them: Offer exclusive discounts
- Ask for feedback: They know your products best!
- Request reviews: Happy customers leave great reviews
Geographic Distribution
What it shows: Where your customers are located
Example:
- California: 23%
- Texas: 15%
- New York: 12%
- Florida: 9%
- Other: 41%
How to use this:
- Shipping: Optimize shipping for top regions
- Marketing: Target ads to high-converting regions
- Products: Create region-specific products (local sports teams, landmarks)
Section 6: Conversion Tab
Understand your sales funnel and where you're losing potential customers.
Conversion Funnel
What it shows: The path from visitor to customer
Example:
- Shop Visitors: 1,234 (100%)
- Product Views: 892 (72%)
- Add to Cart: 156 (13%)
- Checkout Started: 112 (9%)
- Purchase Completed: 87 (7%)
Where are you losing people?
Drop-off: Visitors → Product Views (28% loss)
What it means: People visit your shop but don't click on products
Possible causes:
- Shop homepage not appealing
- Products not interesting
- Poor product thumbnails
How to fix:
- Feature your best products on homepage
- Improve product thumbnail images
- Add compelling product titles
Drop-off: Product Views → Add to Cart (59% loss)
What it means: People view products but don't add to cart
Possible causes:
- Price too high
- Product images not convincing
- Description not compelling
- No customer reviews
How to fix:
- Test lower prices
- Improve product photography
- Rewrite descriptions to focus on benefits
- Encourage reviews from past customers
Drop-off: Add to Cart → Checkout (28% loss)
What it means: People add to cart but don't start checkout
Possible causes:
- Just browsing (normal behavior)
- Shipping costs too high
- Decided to compare with other shops
How to fix:
- Offer free shipping threshold
- Send cart abandonment emails
- Display shipping costs earlier
Drop-off: Checkout → Purchase (22% loss)
What it means: People start checkout but don't complete
Possible causes:
- Complicated checkout process
- Limited payment options
- Unexpected fees
- Technical issues
How to fix:
- Simplify checkout (fewer steps)
- Add more payment options
- Be transparent about all costs upfront
- Test checkout process regularly
Cart Abandonment Rate
What it shows: Percentage of carts that don't convert to sales
Example: "44% abandonment rate"
Calculation: (Carts Created - Purchases) ÷ Carts Created
Benchmarks:
- 40-50%: Average for e-commerce
- 30-40%: Good
- Under 30%: Excellent!
How to reduce abandonment:
- Send cart abandonment emails
- Offer limited-time discounts
- Display trust badges
- Simplify checkout process
How to Use Analytics to Grow Your Shop
Now that you understand the reports, here's how to actually use them!
Weekly Analytics Routine (30 minutes)
Monday Morning Review:
-
Check Overview Tab (5 min)
- How did last week compare to the week before?
- Any concerning trends?
-
Review Top Products (10 min)
- Which products sold best?
- Which products got views but no sales?
- Action: Promote winners, improve losers
-
Analyze Traffic Sources (10 min)
- Where is most traffic coming from?
- Which sources convert best?
- Action: Double down on what works
-
Check Conversion Funnel (5 min)
- Where are you losing customers?
- Action: Fix the biggest drop-off point
Monthly Deep Dive (2 hours)
First of the Month:
-
Compare Month-over-Month (30 min)
- Revenue, orders, traffic, conversion
- What improved? What declined?
- Why did changes happen?
-
Product Performance Analysis (30 min)
- Identify top 10 and bottom 10 products
- Plan: Create more like top 10, improve or remove bottom 10
-
Customer Analysis (30 min)
- New vs. returning customer ratio
- Top customers - thank them!
- Geographic trends - any opportunities?
-
Set Goals for Next Month (30 min)
- Revenue target
- Order target
- Traffic target
- Conversion rate target
Common Analytics Scenarios
Scenario 1: High Traffic, Low Sales
What the data shows:
- Traffic: 2,000 visitors
- Orders: 20 (1% conversion)
- Revenue: $800
Diagnosis: Conversion problem
Actions:
- Check product images - are they high quality?
- Review pricing - are you competitive?
- Read product descriptions - are they compelling?
- Look at reviews - do you have any?
- Test checkout process - is it smooth?
Scenario 2: Low Traffic, Good Conversion
What the data shows:
- Traffic: 200 visitors
- Orders: 20 (10% conversion!)
- Revenue: MARKDOWN; } },200
Diagnosis: Marketing problem
Actions:
- Optimize SEO (titles, tags, descriptions)
- Add more products (more products = more visibility)
- Start social media marketing
- Enable affiliate program
- Consider paid advertising
Scenario 3: Declining Sales
What the data shows:
- Last month: $5,000
- This month: $3,500 (-30%)
Diagnosis: Need to investigate
Actions:
- Check traffic - did it drop? (marketing issue)
- Check conversion - did it drop? (product issue)
- Check competition - new competitors?
- Check seasonality - is this normal for the time of year?
- Check products - any out of stock?
Scenario 4: One Product Dominates
What the data shows:
- Product A: $4,000 (80% of revenue)
- All other products: MARKDOWN; } },000 (20%)
Diagnosis: Over-reliance on one product (risky!)
Actions:
- Create similar products to Product A
- Improve marketing for other products
- Bundle Product A with other products
- Diversify product line
Pro Tips for Analytics Success 🚀
1. Set Up a Spreadsheet
Track key metrics monthly in a spreadsheet:
- Revenue
- Orders
- Traffic
- Conversion rate
- Average order value
Why? Platform analytics might not go back far enough. Your own records ensure you never lose historical data.
2. Screenshot Your Reports
Take screenshots of important reports:
- Before/after major changes
- Monthly performance summaries
- Successful campaigns
Why? Visual records help you remember what worked and what didn't.
3. Test One Thing at a Time
When making changes based on analytics:
- Change ONE thing
- Wait 1-2 weeks
- Measure the impact
- Then change something else
Why? If you change everything at once, you won't know what worked!
4. Focus on Trends, Not Daily Fluctuations
Don't panic over one bad day or get too excited about one great day.
Look at:
- Week-over-week trends
- Month-over-month trends
- Year-over-year trends
Why? Trends matter more than individual data points.
5. Benchmark Against Yourself
Don't obsess over industry averages. Compare your performance to your own past performance.
Track:
- Am I better than last month?
- Am I better than last year?
- Am I improving over time?
Why? Your own growth is what matters most!
6. Act on Insights
Analytics are useless if you don't take action!
After every analytics review:
- Identify 1-3 specific actions
- Implement them
- Measure the results
Why? Data without action is just numbers.
Analytics Glossary
Conversion Rate: Percentage of visitors who make a purchase
Average Order Value (AOV): Average amount spent per order
Customer Lifetime Value (CLV): Total amount a customer spends over time
Cart Abandonment: When someone adds to cart but doesn't purchase
Bounce Rate: Percentage of visitors who leave without viewing products
Traffic Source: Where visitors come from (search, social, direct, etc.)
Unique Visitor: Individual person (counted once even if they visit multiple times)
Page Views: Total number of pages viewed (one person can generate multiple)
Add-to-Cart Rate: Percentage of product viewers who add to cart
Fulfillment Time: Time from order placement to shipment
Need More Help?
Check out these related guides:
- Understanding Your Seller Dashboard - Quick daily metrics
- How to Improve Conversion Rate - Turn more visitors into buyers
- SEO Best Practices - Get more search traffic
- Product Photography Tips - Improve product images
- Pricing Strategy Guide - Optimize your pricing
- Email Marketing for Sellers - Bring back past customers
Still have questions? Contact our support team or visit the Help Center!
Watch Video Tutorial: [VIDEO_PLACEHOLDER]
Analytics are your roadmap to success! 📊 Review them regularly, take action on insights, and watch your shop grow!