Analytics Overview

Track your store's performance with comprehensive analytics.

Dashboard Metrics

The main dashboard shows key metrics at a glance:

Metric	Description
Revenue	Total sales for the period
Orders	Number of completed orders
Customers	New and returning customers
Average Order Value	Revenue / Orders
Conversion Rate	Orders / Visitors

Time Periods

Compare performance across different time periods:

• Last 7 Days - Past week
• Last 30 Days - Past month
• Last 90 Days - Past quarter
• Last Year - Past 12 months

Comparison

Compare to previous period:

• This week vs last week
• This month vs last month
• Year over year

Sales Analytics

Revenue Charts

Track revenue over time:

• Daily, weekly, or monthly view
• Trend lines
• Period comparison

Order Analytics

Metric	Description
Order Count	Total orders
Order Status	Breakdown by status
Order Value	Distribution of order sizes
Payment Methods	Breakdown by payment type

Product Performance

See which products drive revenue:

• Top selling products
• Revenue by product
• Units sold
• Conversion rate per product
• Stock velocity

For detailed product analysis, see Product Performance below.

Customer Analytics

Get deep insights into your customer base with advanced customer analytics. Access from Analytics → Customer Analytics.

Overview Metrics

Track essential customer health metrics:

Metric	Description	Importance
Total Customers	All-time unique customer count	Growth indicator
New Customers	First-time buyers in selected period	Acquisition performance
Active Customers	Customers who purchased in period	Engagement health
Repeat Rate	Percentage of customers who buy again	Loyalty indicator
Avg Lifetime Value	Average total spend per customer	Revenue potential

Customer Segmentation

Customers are automatically segmented based on behavior:

Segment	Definition	Use Case
New	First purchase in last 30 days	Onboarding campaigns
Active	Purchased in last 60 days	Engagement and upsells
At-Risk	No purchase in 60-90 days	Win-back campaigns
Churned	No purchase in 90+ days	Deep discounts or surveys
VIP	Top 10% by lifetime value	Exclusive perks, early access

The segmentation chart displays the distribution of your customer base, helping identify where to focus retention efforts.

Lifetime Value Analysis

Understand which customers drive the most revenue:

• Top Customers Table - Ranked by total spend with:
  • Total order count
  • Lifetime value
  • Average order value
  • Last purchase date
• LTV Trends - How customer value changes over time
• Value Distribution - Identify high-value customer characteristics

Action Insight

Customers in the top 10% by LTV often represent 50%+ of revenue. Create VIP programs to retain these customers.

Purchase Frequency Distribution

See how often customers buy:

• One-time buyers - Conversion optimization target
• 2-3 purchases - Loyalty program candidates
• 4-10 purchases - Engaged customers
• 11+ purchases - Brand advocates

Use this data to design retention campaigns for each frequency tier.

Geographic Distribution

Understand where your customers are located:

• Top Countries - Order volume by country
• Top States - Regional breakdown (US/CA)
• Top Cities - Urban concentration

Use geographic insights for:

• Localized marketing campaigns
• Shipping optimization
• Regional product offerings
• Timezone-aware communications

New Customer Acquisition

Track how your customer base grows:

• Acquisition Chart - New customers over time
• Growth Rate - Period-over-period comparison
• Acquisition Channels - Where new customers come from
• First Purchase Value - Initial order size trends

Cohort Retention Analysis

Measure how well you retain customers over time:

Cohort    Size   M0    M1    M2    M3    M4    M5
Jan 2024   150  100%   42%   28%   22%   18%   15%
Feb 2024   180  100%   45%   31%   25%   20%   17%
Mar 2024   220  100%   48%   35%   28%   23%   --

How to Read:

• M0 - Initial purchase month (always 100%)
• M1-M5 - Percentage who purchased again in subsequent months
• Declining % - Normal, but monitor rate of decline
• Improving cohorts - Sign of better retention strategies

Retention Alert

If retention drops below 20% by M3, consider implementing:

• Automated email sequences
• Loyalty programs
• Post-purchase engagement
• Product quality improvements

Customer Behavior Insights

Additional behavioral patterns:

• Average days between purchases - Optimize remarketing timing
• Preferred payment methods - Customer payment preferences
• Device usage - Desktop vs mobile shopping habits
• Engagement score - Email opens, site visits, social interactions

Export Customer Data

Download detailed customer analytics:

1. Select time period
2. Click "Export Report"
3. Receive CSV with:
   • Customer details
   • Purchase history
   • Lifetime value
   • Segment assignment
   • Geographic data

Product Performance Analytics

Identify your bestsellers and optimize inventory with product performance insights. Access from Analytics → Product Performance.

Top Products Overview

Three key rankings to track:

By Revenue

Shows which products generate the most money:

• Total revenue in period
• Number of units sold
• Revenue trend (up/down)

Focus marketing spend on top revenue generators.

By Quantity Sold

Shows which products move fastest:

• Units sold
• Total revenue
• Velocity trend

High volume products need stock management attention.

By Profit Margin

Shows which products are most profitable:

• Profit margin percentage
• Total profit amount
• Cost vs price ratio

Promote high-margin products for better profitability.

Revenue by Category

Donut chart showing category performance:

• Category breakdown - Revenue distribution
• Top categories - Which verticals perform best
• Underperforming categories - Candidates for improvement or removal
• Revenue concentration - Diversification health

Use category insights to:

• Expand successful categories
• Discount slow categories
• Balance inventory allocation

Product Performance Trends

Line chart tracking top products over time:

• Sales trends - Daily/weekly/monthly performance
• Seasonal patterns - Identify peak periods
• Product lifecycle - Launch, growth, maturity, decline
• Compare products - Relative performance

Seasonal Planning

Use trend data to anticipate demand and stock up before peak seasons.

Conversion Analysis

Track the product purchase funnel:

Metric	Description	Optimization
Product Views	Total impressions	SEO, traffic campaigns
Add to Cart Rate	% of views that add to cart	Product page optimization
Purchase Rate	% of carts that checkout	Checkout friction reduction
Avg Conversion Value	Revenue per conversion	Upselling, bundling

Example Funnel:

5,000 views → 750 adds (15%) → 300 purchases (40% of adds)
Overall conversion: 6% (views to purchase)

Benchmark Rates:

• Add to cart: 10-15% is typical
• Purchase rate: 30-40% is good
• Overall conversion: 2-5% is average

Inventory Performance

Monitor stock efficiency:

Column	Purpose
Stock Level	Current quantity on hand
Turnover Rate	How many times inventory sells per period
Days to Sell	Average time to deplete current stock
Status	Optimal, Overstocked, or Understocked

Status Indicators:

• Optimal (Green) - Stock matches demand
• Overstocked (Yellow) - Too much inventory, slow sales
• Understocked (Red) - Stock too low, risk of stockouts

Actions by Status:

• Overstocked - Run promotions, bundle deals, discounts
• Understocked - Reorder immediately, backorder management
• Optimal - Maintain current strategy

Stock Alert

Products with <10 days of stock at current velocity should be reordered immediately to avoid stockouts.

Complete Product Rankings

Sortable table with all products:

Sortable by:

• Revenue (highest to lowest earning)
• Sales (most units sold)
• Margin (highest profit percentage)
• Rating (customer satisfaction)

Includes:

• Product name and SKU
• Category
• Units sold
• Total revenue
• Refund rate (quality indicator)
• Average customer rating
• Quick action buttons

Rank Badges:

• 1st place - Gold badge
• 2nd place - Silver badge
• 3rd place - Bronze badge

Refund Rate Analysis

Monitor product quality through refunds:

• <2% - Excellent (green)
• 2-5% - Acceptable (yellow)
• >5% - Concerning (red)

High refund rates indicate:

• Product quality issues
• Misleading descriptions
• Shipping damage
• Wrong expectations

Product Insights & Actions

Use performance data to:

1. Optimize inventory - Stock based on velocity
2. Adjust pricing - Test prices on slow movers
3. Improve listings - Better images/descriptions for low converters
4. Bundle products - Combine complementary items
5. Discontinue losers - Remove consistent underperformers
6. Promote winners - Feature top performers prominently

Filter and Search

Refine your analysis:

• Time period - 7 days, 30 days, 90 days, 1 year
• Category filter - Focus on specific product types
• Search - Find products by name or SKU
• Sort options - Multiple ranking criteria

Export Product Data

Download performance reports:

1. Apply filters (time, category, search)
2. Click "Export Data"
3. Receive CSV with:
   • Product details
   • Sales metrics
   • Revenue data
   • Refund rates
   • Ratings
   • Profit margins

Traffic Analytics

Visitor Metrics

Metric	Description
Page Views	Total page impressions
Unique Visitors	Individual visitors
Sessions	Visit sessions
Bounce Rate	Single page visits
Session Duration	Average time on site

Traffic Sources

See where visitors come from:

• Direct traffic
• Search engines
• Social media
• Referral links
• Email campaigns

Geographic Data

Visitor locations:

• Country breakdown
• City data (where available)
• Map visualization

Conversion Funnel

Track the customer journey:

Visitors → Product Views → Add to Cart → Checkout → Purchase
  1000        500            200          100         80
         50% view       40% add      50% checkout   80% complete

Funnel Metrics

Stage	Metric
View Rate	Visitors who view products
Add to Cart Rate	Viewers who add to cart
Checkout Rate	Carts that start checkout
Purchase Rate	Checkouts that complete

Drop-off Analysis

Identify where customers leave:

• Product page (not interested)
• Cart (price concerns)
• Checkout (friction)
• Payment (issues)

Financial Reports

Revenue Reports

• Gross revenue
• Refunds
• Net revenue
• Fees breakdown
• Payout amounts

Tax Reports

• Sales by region
• Tax collected
• Taxable vs non-taxable

Export Data

Export reports to CSV:

• Select date range
• Choose metrics
• Download file

Real-time Data

See activity as it happens:

• Current visitors
• Recent orders
• Live cart activity
• Active sessions

Best Practices

Regular Review

• Check daily: Revenue, orders, quick issues
• Check weekly: Trends, top products, campaigns
• Check monthly: Customer segments, cohorts, strategy

Action on Insights

• Low conversion? Improve product pages
• High cart abandonment? Enable recovery
• Dropping retention? Start re-engagement

Goal Setting

• Set realistic targets
• Track progress over time
• Celebrate milestones
• Adjust based on data