Products Compare for WooCommerce lets shoppers add products to a comparison list across the catalogue. Per-user lists are stored in wp_usermeta under the woocompare_list (or plugin-specific) key as a serialised array of product IDs. Most builds also write each compare event to a custom history table with product_id, user_id, and created_at so the plugin can show recently-compared widgets and aggregate counts.

The plugin itself surfaces the compare drawer on the storefront, but does not ship an aggregate dashboard. Which products customers compare most often, which pairs co-occur in the same compare session, and how compare volume tracks against actual conversion are all signals that sit in the data and never reach the admin. SleekView Charts reads the compare-history table and the WooCommerce product table together. A Number card counts total compare events this month. A Bar ranks top-compared products by event count. A Donut splits compares by product category. An Area chart plots daily compare volume.

Joined against wc_orders, the same dataset answers whether comparisons convert. A scoped card measures compare-to-order rate per product so merchandisers see which catalogue items get attention but never ring up. Charts and tables share one query layer, so any bar drills into the exact compare rows behind it.

Adding a product to a compare list is one of the strongest engagement signals a shopper can give short of clicking add to cart. Products Compare for WooCommerce captures every one of those signals in the compare-history table and the per-user compare list in usermeta. The plugin is reliable about it.

The admin, however, treats compare as a storefront UX feature and stops at the recently-compared widget. SleekView Charts reads the compare history and pivots it into four chart cards. Top-compared products surface attention.

Category donut shows which sections of the catalogue drive consideration. Daily compares track engagement across the week. Joined against wc_orders, the dataset answers whether compares convert, which is the question every merchandiser eventually asks.

Charts and tables share one query layer, so the dashboard becomes the entry point to the compare audit rather than a dead summary screen.