WooCommerce Product Search (the itthinx plugin) ships with its own analytics engine that logs every query a shopper runs, every click on a result, and every no-results miss. Those events sit in the plugin's own tables, summarised on a built-in analytics screen, but the screen is fixed: top queries this week, top no-results this week. Cross-tabbing by date, click-through rate, or category is not part of the default UI.

SleekView Charts reads the WooCommerce Product Search log tables directly and exposes query string, result count, click count, and date as chartable columns. A Number counts total searches this month. A Pie shows the share of searches that returned zero results. A Bar lists the top queries by volume. An Area trends searches per day, which is the chart that surfaces the impact of a homepage redesign or a new filter chip on browse behaviour.

The aim is to make search a first-class part of the merchandising dashboard. The plugin already owns indexing and result ranking; SleekView just charts the demand signal it captures.

What shoppers type into a search box is the single best signal of what they actually want to buy, and WooCommerce Product Search captures every keystroke that becomes a query. The plugin's analytics screen is useful but rigid: it answers a few questions on one layout and stops there. SleekView Charts reads the same log tables and lets the team chart any slice they want, including zero-result share, click-through trend, and demand by day.

The catalogue and merchandising decisions improve when the dashboard reflects real demand. The plugin keeps owning indexing and ranking; SleekView charts the demand it captures.