Product Analytics
- Introduction
Product Analytics allows you to monitor the entire customer journey for each product — from the moment a customer views the product to the point they complete a purchase.
This data helps you identify which products attract attention, which ones convert well (or poorly), and where customers tend to drop off.
- Main Analytics Table
The Product Analytics table displays:
- Name: Product name
- Status: Product status (active/inactive)
- Type: Product type
- Metrics: The performance indicators you choose to display — each metric represents a specific event in the customer journey (listed in section 2 below)
You can click Refresh at any time to load the latest data.
- Metrics
The system provides multiple metrics to help you analyze product performance:
Event (Metric) | Description | Formula |
|---|---|---|
Product Views | This metric indicates how often a product was viewed on a product page. | none |
Added to Cart | This shows how many times a product was added to a customer's cart, which can help you understand if customers are engaging with the product. | none |
Begin Checkout | Number of times checkout was initiated. | none |
Items Purchased | This metric indicates the number of times a product was purchased. | none |
Quantity Purchased | Total number of units sold for this product. | none |
View to Cart Rate | Percentage of product views that resulted in an add to cart. | Added to Cart ÷ Product Views |
Cart to Begin Checkout Rate | Percentage of add to cart events that led to beginning checkout. | Begin Checkout ÷ Added to Cart |
Begin Checkout to Purchase Rate | Percentage of checkout starts that resulted in a complete checkout. | Items Purchased ÷ Begin Checkout |
View to Purchase Rate | Percentage of product views that resulted in a complete checkout. | Items Purchased ÷ Product Views |
💡 You can select multiple metrics/events at the same time for deeper analysis.
- Date Range Filter
- Filter data by a specific date range (day/month/year)
- Useful for comparing product performance across campaigns, seasons, or promotional periods
- Benefits of Using Product Analytics
- Monitor the entire customer journey for each product
- Identify points where customers drop off in the conversion process
- Measure the impact of marketing campaigns
- Make quick, data-driven decisions to improve sales
Updated on: 15/08/2025
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