Social Pug caches per-network share counts as a serialized dpsp_networks_shares postmeta value on every post that carries a share button. The bundled analytics screen surfaces a top-shared leaderboard and a few totals, which is fine for spotting hits and incomplete for an audit. Editorial leads typically want a queryable per-post grid with Facebook, Pinterest, Twitter and LinkedIn as columns, plus author and date, so refresh shortlists and per-author rollups are one filter away.

SleekView reads the same dpsp_networks_shares cache, unpacks the serialized value into per-network columns and renders the result as a sortable audit table. Filter to posts with zero Pinterest shares to find the visual-content backlog that never reached the network. Filter to posts with high Facebook and low LinkedIn to spot the audience-mismatch cohort. Sort by total shares to plan refreshes against the real top hundred rather than the bundled top five.

The plugin keeps owning button rendering and cache refresh. The table view owns the per-post audit surface, so the cached data Social Pug already maintains stops hiding inside postmeta and becomes something editorial can actually work with.

Social Pug, now distributed as Mediavine Grow Social, captures real signal: which posts earned distribution, which network the audience actually uses and how the counts move across each refresh. The bundled analytics screen turns that signal into a top-shared leaderboard, which is the right summary for a glance and the wrong surface for the audit work editorial teams actually do. SleekView reads the same dpsp_networks_shares cache and renders it as a queryable grid with per-network columns, last-cached timestamps, author and post type.

Filters stack into a single query, so the Pinterest backlog, the high-Facebook-low-LinkedIn cohort and the stale-cache rows become one-click views rather than spreadsheet exports. The plugin keeps owning button rendering and cache refresh, while editorial gets the per-post surface it needed all along.