Analyze Product Views, Carts, and Purchases
Compare product views, cart activity, orders, and revenue in Hardal to investigate item performance.
Use the Commerce Items table to compare interest and purchase activity for the same products. Stable item identifiers are essential: the view, cart, and purchase events must refer to the intended item.
Prepare the item data
Send view_item, add_to_cart, and purchase with consistent item IDs and names. Include purchase quantity, value, and currency according to Standard Events. These actions require explicit tracking beyond the automatic web interactions.
Review the item table
Open Commerce for a Commerce tenant and choose the source, complete period, and timezone. Use Columns to show item views, add-to-cart activity, orders, purchased quantity, and revenue. Sort by the metric relevant to your question and inspect more rows with pagination.
Look for products with substantial views but little cart activity, or cart activity with few purchases. Compare the same product across another complete period before treating a small sample as a stable pattern.
These table totals are aggregate activity, not a guaranteed sequence followed by the same people. For an ordered journey, use a checkout funnel. A general view_item → purchase funnel can include different products unless the definition explicitly supports the item restriction you need.
Inspect product and traffic context
Turn on Attribution to inspect available traffic details for an item. Compare those results with Acquisition using the relevant reporting context; do not assume every report uses identical attribution settings.
Follow up by reviewing product availability, pricing, content, or the checkout experience. Hardal's counts identify where to investigate; they do not establish a merchandising cause. For a broader assortment view, compare product categories.