Why Shopify does not show this clearly
Shopify is excellent at showing sales performance. It is less direct when you need one prioritized view of pre-purchase behavior by product, including added items, removed items, searches, and bundle evidence.
Shopify customer behavior
The most useful customer behavior is often visible before completed checkout: what shoppers add, remove, search for, and consider together. Cartalyst turns repeated patterns into recommended actions.
Question
Start with product-level intent signals. Instead of trying to identify individual shoppers, look for repeated behavior patterns that show where customers hesitate or lose confidence before purchase.
Shopify is excellent at showing sales performance. It is less direct when you need one prioritized view of pre-purchase behavior by product, including added items, removed items, searches, and bundle evidence.
Pre-checkout behavior helps you fix the store before shoppers abandon. It can point to confusing product pages, poor search relevance, weak merchandising, price objections, or missing product combinations.
Cartalyst recommends product, search, and bundle actions using aggregate cart additions, removals, search gaps, and recorded completed-checkout follow-through.
Find items added to cart but often removed or left behind before a recorded completed checkout.
Use search terms to understand how customers describe the products they want.
Spot product pairs customers frequently consider but do not consistently reach completed checkout together.
No. Cartalyst is designed around aggregate product-level signals and does not need personal customer data for its core reports.
Start with high-intent products: items with many cart adds, repeated removals, or strong search demand but weak recorded completed-checkout follow-through.
Try Cartalyst
Install Cartalyst to prioritize the product, search, and bundle fixes supported by independent shoppers.