Content Locker Pro keeps each locker as a row in wp_posts with a dedicated post_type (typically opt_locker or similar depending on the build), with rules, locker type (email, social, password, share), and presentation settings stored in wp_postmeta. Unlock counts, conversion stats, and recent unlock events are written back to wp_postmeta against the locker post and to wp_options for site-wide aggregates.

The default admin shows one screen per locker and a summary list, with no joined view across lockers showing impressions, unlocks, and conversion rate side by side. To answer "which lockers are converting badly across the site," you click into each locker individually or rely on a separate analytics integration. Lockers with low conversion rates often sit in place for months before anyone notices because the dashboard never surfaces them as a sorted ranking.

SleekView reads wp_posts and wp_postmeta directly, joins the locker post to its conversion meta, and shows lockers as a sortable, filterable table with impressions, unlocks, conversion rate, and last-unlock date as proper columns. Rotating underperformers becomes a sort by conversion rate.

Content gating is most valuable when it converts. The hard part is keeping the locker portfolio healthy as it grows, because lockers added six months ago for a launch campaign often stay live long after the campaign ended, sitting on pages with new traffic that never converts through them. Content Locker Pro stores everything needed to spot those leaks: per-locker impressions, unlocks, conversion rate, and last-unlock date.

What its default admin lacks is the cross-locker ranking that surfaces underperformers as a sorted list. Without that ranking, the lowest-converting lockers sit in place, drag down site-wide conversion, and only get noticed when someone runs a manual audit. SleekView turns the audit into a saved view: one row per locker, conversion rate as a sortable column, with filters for type and impression volume so the audit focuses on lockers loud enough to matter.

Marketing teams refresh the underperformer list weekly; ops teams archive legacy lockers in bulk; growth analysts compare gating types side by side. The data was always in the database, it just needed a row-level workspace instead of a per-locker drilldown.