Introduction

The Analytics Dashboard is your command center for understanding customer behavior, sales trends, and store performance. It provides visual charts, detailed statistics, and actionable insights all in one place.

This guide explores every section of the dashboard and teaches you how to extract meaningful insights from your data.

Dashboard Overview

Access the main dashboard via Customer History → Dashboard. The interface is organized into several key sections:

Top Customers

Displays your highest-value customers ranked by:

  • Total Spent: Lifetime customer value
  • Order Count: Number of purchases
  • Average Order Value: Mean purchase amount
  • Customer Category: Bronze, Silver, Gold, or Platinum tier

Recent Orders

Latest transactions showing:

  • Order number and date
  • Customer name and email
  • Products purchased
  • Order total
  • Quick action buttons

Live Sessions

Real-time visitor tracking displaying:

  • Currently active visitors
  • Pages they’re viewing
  • Time on site
  • Source/referrer URL

Latest Searches

Recent search queries from customers:

  • Search keywords
  • Time of search
  • Results found (or zero results)
  • Customer who searched (if logged in)
Quick Insights

The dashboard auto-refreshes to show current data. For historical analysis, use the Statistics section with date range filters.

Statistics Section

Navigate to Customer History → Statistics for detailed analytics across multiple tabs:

Site Pages

Tracks which pages customers visit most:

  • Page URL and title
  • Total views
  • Unique visitors
  • Average time on page
  • Bounce rate

Use case: Identify popular content and optimize underperforming pages.

Keywords / Top Search

Search term analytics with:

  • Most searched keywords
  • Search frequency
  • Results found vs. zero results
  • Trending searches

Use case: Discover what customers want and stock products accordingly.

Viewed vs Purchased Ratio

Conversion analysis showing:

  • Products viewed
  • Products purchased
  • Conversion percentage
  • Drop-off rate

Use case: Identify products with high interest but low sales (pricing or description issues).

Top Selling Products by This Month

Current month’s best performers:

  • Product name and image
  • Units sold
  • Revenue generated
  • Growth vs. last month

Use case: Plan inventory and marketing campaigns around popular items.

Brand View / Category View

Track interest by product classification:

  • Most viewed brands/categories
  • View count with trends
  • Conversion rates per category

Use case: Guide product expansion and category promotions.

Total Spent

Revenue analytics including:

  • Total revenue by time period
  • Average order value trends
  • Revenue by customer tier
  • Growth comparisons
Data-Driven Decisions

Use these statistics to make informed decisions about inventory, pricing, marketing spend, and product development.

Visual Charts & Graphs

Many statistics include interactive charts:

Chart Types

  • Bar Charts: Compare values across categories
  • Line Charts: Show trends over time
  • Pie Charts: Display proportions and percentages
  • Area Charts: Visualize volume trends

Chart Interactions

  • Hover over data points for exact values
  • Click legend items to show/hide data series
  • Use date range filters to zoom in on specific periods
  • Export charts as images (browser screenshot)
Chart Tips

For the clearest insights, compare similar time periods (this month vs. last month, not this week vs. last month). This accounts for seasonal variations and trends.

Filtering Dashboard Data

Most analytics views include filtering options:

Date Range Filters

  • Today, Yesterday, Last 7 days
  • Last 30 days, This month, Last month
  • Custom date ranges

Customer Filters

  • All customers vs. specific tiers
  • New vs. returning customers
  • Customers with/without purchases

Product Filters

  • Specific products or categories
  • Price ranges
  • In-stock vs. out-of-stock

For detailed filtering instructions, see the Filtering Options guide.

Interpreting Dashboard Data

Key Metrics to Monitor Weekly

  • New vs. Returning Customers: Track customer retention
  • Average Order Value: Identify upsell opportunities
  • Top Search Terms: Understand customer intent
  • Zero-Result Searches: Find product gaps
  • View-to-Purchase Ratio: Measure product page effectiveness

Warning Signs to Watch For

  • Decreasing Average Order Value: May need bundling or upsells
  • High View, Low Purchase: Pricing or trust issues
  • Increasing Zero-Result Searches: Stock missing products
  • Low Returning Customer Rate: Product or service quality concerns

Positive Indicators

  • Growing VIP Customer Count: Building customer loyalty
  • Increasing Average Order Value: Successful upselling
  • High View-to-Purchase Ratios: Effective product pages
  • Low Cart Abandonment: Smooth checkout process
Context Matters

Always consider external factors like seasons, holidays, marketing campaigns, and economic conditions when analyzing trends. A drop in sales during summer might be normal for winter products.

Exporting Dashboard Data

Export data for external analysis or reporting:

CSV Export

  1. Navigate to the data view you want to export
  2. Apply desired filters
  3. Look for the Download or Export CSV button
  4. Click to download
  5. Open in Excel, Google Sheets, or other spreadsheet software

Available Exports

  • Customer list with purchase history
  • Order history with customer details
  • Session data
  • Search analytics
  • Product view statistics

For comprehensive export options, see the Data Export guide.

Dashboard Best Practices

Daily Monitoring

  • Check live sessions during peak hours
  • Review latest orders for issues
  • Monitor recent search terms for trends

Weekly Analysis

  • Review top customers and engage VIPs
  • Analyze weekly sales trends
  • Check for new zero-result searches
  • Compare to previous week

Monthly Planning

  • Identify top-selling products for restocking
  • Analyze customer acquisition costs
  • Review customer lifetime value trends
  • Plan next month’s promotions based on data
Create a Routine

Set aside 15 minutes every Monday to review your dashboard. Consistent monitoring helps you spot trends early and make proactive business decisions.