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✨ New Plugin Alert ✨ SleekRank is now available with €50 launch discount
✨ New Plugin Alert ✨ SleekRank is now available with €50 launch discount
✨ New Plugin Alert ✨ SleekRank is now available with €50 launch discount
✨ New Plugin Alert ✨ SleekRank is now available with €50 launch discount
✨ New Plugin Alert ✨ SleekRank is now available with €50 launch discount
✨ New Plugin Alert ✨ SleekRank is now available with €50 launch discount
✨ New Plugin Alert ✨ SleekRank is now available with €50 launch discount
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SleekView for Monarch: share counts & networks as tables

Monarch by Elegant Themes caches share counts per post per network as postmeta keys (et_social_facebook_total, et_social_twitter_total). SleekView pivots those keys into a single sortable grid by post, by network, by total shares.

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SleekView table view for Monarch

Share counts as a queryable table

Monarch ships with sharing buttons and a stats screen that shows top-shared posts and a network breakdown, but the underlying data lives as postmeta keys (et_social_facebook_total, et_social_twitter_total, et_social_linkedin_total, et_social_pinterest_total) on each post. The default Stats panel surfaces top performers in aggregate; getting the same data sliced by post type, by author, or by date range means digging into the meta keys yourself.

SleekView reads the et_social_* meta keys directly and pivots them into named columns next to standard post columns (title, author, date, post type). One row per post, one column per network, plus a derived Total Shares column for sorting. Network mix becomes a glance: a post with 4,200 Pinterest shares and 38 Twitter shares looks very different from one with 320 of each, and that signal drives editorial decisions Monarch's default UI doesn't expose.

The Cache State column is the honest part. Monarch refreshes share counts on a configurable interval and the meta value at any moment reflects the last successful refresh. SleekView tags rows by last-update timestamp so editorial knows whether a viral post's count is current or 12 hours stale before screenshotting it for a campaign report.

Workflow

From et_social_* postmeta to a share-count grid

1

Map the et_social keys

Point SleekView at et_social_facebook_total, et_social_twitter_total, et_social_pinterest_total, and et_social_linkedin_total. The agent UI inspects postmeta and proposes one column per network.
2

Add the Total column

Compute Total Shares as a derived column (sum of network counts). It becomes the default sort column for editorial workflows that care about reach more than network mix.
3

Join standard post columns

Pull title, author, post type, and date alongside the network columns. Filter chips on author and post type let editorial slice the data without leaving the grid.
4

Surface freshness

Add a last-update timestamp column from Monarch's refresh-tracking meta. Tag rows older than the configured cache duration as stale so reports never quote yesterday's numbers as today's.

Sample columns

A typical Monarch share-counts view

SleekView reads Monarch's et_social_* postmeta keys and pivots each network into a column next to the post.
Source: wp_postmeta (et_social_* keys)
Post Facebook Twitter Pinterest LinkedIn Total
Best espresso machines 2026 1,840 212 4,210 44 6,306
Cold brew at home 920 188 2,140 12 3,260
Cup-to-cup grind ratios 204 76 118 8 406
Roastery field notes 32 14 0 2 48

Comparison

Default Monarch stats vs SleekView

Default Monarch stats

  • Stats panel shows top-shared posts in aggregate, not as a queryable table
  • Network counts live in postmeta keys with no cross-post grid
  • No filter for posts by author, post type, or date range with shares attached
  • Network mix per post requires opening the post or running raw SQL
  • No exportable share-count cohort for editorial reporting

SleekView

  • Pivot et_social_* meta keys into per-network columns
  • Sort by total shares or by any single network in one click
  • Filter by post type, author, or date range alongside share data
  • Surface stale-cache rows so editorial knows when counts last refreshed
  • Export the share-count cohort as CSV for monthly editorial reports

Features

What SleekView gives you for Monarch

Network-mix columns

One column per network (Facebook, Twitter, Pinterest, LinkedIn) plus a derived Total Shares column. Sort by any one of them and the editorial signal jumps out without leaving the post list.

Author and post-type filters

Monarch's stats panel groups by post. SleekView filters by author, post type, and date range alongside share data, so 'top Pinterest posts by author X in March' is one saved view, not a spreadsheet pivot.

Cache freshness flag

Share counts in postmeta reflect the last refresh, not real time. SleekView tags rows by last-update timestamp so a 6-hour-old count is visibly different from a 15-minute-old one before a campaign report goes out.

Audience

Who uses SleekView for Monarch

Editorial teams

Sort posts by total shares, by Pinterest, or by Facebook to plan refreshes and follow-ups. The view answers 'what's worth a sequel' in one screen instead of five Stats-panel screenshots.

Marketing reporting

Filter to last-30-days posts and sort by total shares to compile the monthly content report. Network-mix columns add 'we win on Pinterest' to the narrative without a separate analytics integration.

Site editors

Spot zero-share posts that should have promotion budget or a content audit. The Total column makes the underperformer cohort obvious at a glance, which Monarch's top-N stats panel by definition cannot show.

The bigger picture

Share counts are signal, but only if they are queryable

Share counts are a leading indicator of which content earned distribution and a lagging indicator of which networks the audience actually uses. Monarch captures both: per-post share counts per network, refreshed on a schedule, sitting as postmeta keys on every published post. The default Stats panel turns that data into a top-N list, which is fine for spotting hits and useless for everything else editorial teams actually do.

Sorting by Pinterest alone, filtering by author and date, separating zero-share posts from low-share ones, exporting a 30-day cohort for the monthly report, none of those flows are first-class in the default UI even though the data is right there in postmeta. SleekView turns the meta keys into a grid: one column per network, a derived Total, a freshness flag, and the standard post columns alongside. The same data Monarch already collects becomes queryable as a sortable, filterable, exportable view, which is the difference between knowing a post did well and knowing what to do next about it.

Questions

Common questions about SleekView for Monarch

Yes. Each network has its own meta key per post (et_social_facebook_total, et_social_twitter_total, et_social_linkedin_total, et_social_pinterest_total). SleekView reads them directly and pivots them into columns. The values reflect the last successful refresh from the network APIs that still return public counts.

 

No. Monarch refreshes counts on a configurable interval per its settings. The meta value reflects the last refresh, not the live network API. SleekView surfaces the last-update timestamp as a column so editorial knows the data freshness before quoting numbers in a report.

 

No. SleekView reads the cached postmeta values Monarch already wrote. It does not call Facebook, Pinterest, or any other network API. Refreshing counts stays Monarch's job; SleekView is a read-only surface over the cache.

 

Yes. Add a custom column for editorial notes (status, refresh-by date, owner) and edit it inline. The custom field is a SleekView-managed meta key alongside Monarch's; the two don't collide because Monarch's keys all start with et_social_.

 

Twitter discontinued public share counts years ago, so the et_social_twitter_total value typically stays at zero or whatever Monarch last cached before the API change. SleekView surfaces whatever value is in postmeta. The Twitter column is honest about being mostly historical for current Monarch installs.

 

Yes. CSV export honors the current sort and filter. A common export is 'last 30 days, sorted by total shares descending' for the monthly editorial report. Network-mix columns export alongside the totals, so the spreadsheet has the same data as the screen.

 

No. SleekView reads postmeta keys without touching Monarch's settings or its rendering hooks. Sites running Divi alongside Monarch keep their existing setup; the grid is a separate WP Admin screen that reads the same data Divi pages render.

 

Yes. Author is a standard post column SleekView includes by default. Filter by author, sort by Total Shares, and the per-author leaderboard is one saved view. Useful for editorial teams measuring which writers consistently land on Pinterest or Facebook.

 

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