SleekView Charts for Monarch
Monarch caches share counts per post per network in et_social_* meta keys. SleekView Charts pivots that data into a dashboard with total shares, network mix, top posts, and freshness over time.
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Share-count postmeta as a chart dashboard
Monarch's stats panel shows a top-N list and a per-post counter, both built on postmeta keys like et_social_facebook_total, et_social_pinterest_total, and et_social_linkedin_total. The values are there; the cross-cutting questions editorial actually asks (how does network mix break down across the site, which posts dominate Pinterest specifically, how shares trend by publish date) live as ad-hoc SQL.
SleekView Charts reads the same et_social_* keys SleekView's table reads and aggregates them into chart cards. Total shares across the catalog becomes a Number card. Network mix renders as a donut so Facebook, Pinterest, Twitter, and LinkedIn proportions are immediately visible. A bar chart of top posts by total shares replaces Monarch's flat top-N list with a sortable, filterable, exportable chart. An area chart of shares by publish month surfaces whether recent content is keeping pace with the back catalog.
The dashboard stays honest about cache freshness. Monarch refreshes counts on a configurable interval, so chart values reflect the last refresh, not the live network APIs. Editorial reports can cite the dashboard date alongside the numbers without quoting yesterday's data as today's.
Workflow
From et_social postmeta to a share-count dashboard
Map the et_social keys
Pick the chart cards
Add post-type and author filters
Save the dashboard
Sample dashboard
Charts you can build from Monarch data
Total shares across the catalog
Sum(total_shares)
Network mix across the site
Sum(shares)
group by network
Top 10 posts by total shares
Sum(total_shares)
group by post_title
Shares by publish month
Sum(total_shares)
group by post_date_month
Comparison
Default Monarch reporting vs SleekView Charts
Default Monarch stats panel
- Stats panel shows a top-N list, not a chart dashboard
- Network mix lives in postmeta with no proportion chart
- No top-post bar chart with author or post-type filters
- No publish-date trend chart for content cohort analysis
- Freshness state is implicit; reports can quote stale numbers by accident
SleekView Charts
- Single dashboard summing every et_social_* share count
- Donut chart of network mix across the entire catalog
- Horizontal bar of top posts with filter chips for author and post type
- Area chart of shares by publish month for cohort analysis
- Cache freshness column surfaces stale rows before reports cite them
Features
What SleekView Charts gives you for Monarch
Network-mix donut
Facebook, Pinterest, Twitter, and LinkedIn proportions in one chart. The 'where do we earn distribution' question becomes a slice size, not a per-post audit.
Top posts bar
Horizontal bar of the most-shared posts with filter chips on author, post type, and date. Monthly editorial leaderboards become a saved view instead of a spreadsheet pivot.
Cache-aware totals
Share counts in postmeta reflect the last Monarch refresh. The dashboard surfaces freshness so quoted numbers stay honest, especially when a campaign moves quickly.
Audience
Who builds Monarch charts dashboards with SleekView
Editorial teams
Open the dashboard for refresh planning: top posts get sequels, zero-share posts get reviewed, network mix guides the next title format. The chart replaces five stats-panel screenshots.
Marketing reporting
The Number, donut, and bar together produce the monthly distribution report. Export or screenshot the dashboard and the report writes itself.
Site editors
Sort the top-posts bar ascending to find the underperformer cohort. Promotion budgets and content audits start from the chart.
The bigger picture
Share-count data needs a dashboard, not a top-N list
Monarch captures the most important piece of social-content data already: per-post share counts per network, refreshed on a schedule, sitting as postmeta. The default stats panel turns it into a top-N list and a per-post counter, which is fine for spotting hits and useless for everything else editorial actually does. Network mix proportions, per-author leaderboards, publish-cohort trends, underperformer cohorts.
None of those are first-class in the panel even though the data is right there. The chart dashboard reads the same et_social_* meta keys SleekView's table reads and aggregates them into a Number for total shares, a donut for network mix, a horizontal bar for top posts, and an area for shares by publish month. Editorial uses it for refresh planning.
Marketing uses it for monthly reports. The data was always queryable in principle; the dashboard makes it queryable in practice.
Questions
Common questions about SleekView Charts for Monarch
The et_social_* postmeta keys Monarch writes per post per network, plus standard post fields like author, post type, and date. Each chart aggregates over those keys. The dashboard is built on data the plugin already collects, not on a new tracking layer.
No. They reflect Monarch's last cache refresh, which runs on the schedule configured in the plugin settings. The dashboard surfaces freshness so reports stay honest, but the numbers themselves change only when Monarch's next refresh runs.
No. SleekView Charts reads cached postmeta values only. Refreshing counts stays Monarch's job through its scheduled refresh. Network API rate limits and quotas are unaffected by adding the dashboard.
et_social_twitter_total reflects whatever Monarch last cached before the API change, so most current installs show zero or stale numbers there. The dashboard surfaces the value honestly. Many sites hide the Twitter card or filter it from the donut.
Yes. Standard post fields are available as filter chips on every chart card. Per-author leaderboards, per-post-type breakdowns, and per-date-range cohorts all use the same chart configurations with different filter chips selected.
Yes. Monarch is an Elegant Themes plugin and the chart dashboard reads its postmeta keys without touching Divi templates or hooks. Sites running both stacks keep their existing front-end setup unchanged.
Yes. Each card supports CSV export of its aggregated values, and the underlying SleekView table exports the full row-level data for spreadsheet pivoting if a report needs more than what the dashboard shows.
Yes, with the usual WordPress caveats. Aggregating postmeta at that scale benefits from an object-cache plugin (Redis or Memcached) and from indexes on the et_social_* meta keys if queries get slow. The dashboard configuration itself is the same regardless of catalog size.
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