Feedback on pre-sale browsing behavior would be valuable too - simply knowing "someone" added an item to their wishlist or cart provides limited insight. More useful would be analytics showing how buyers make purchasing decisions: what they browse, what factors influence their final choice, and how they compare similar competing items.

This buyer journey data would help sellers understand which product details, pricing, or presentation elements actually drive conversions rather than just initial interest.