SleekView Charts for WP Property Listings
SleekView Charts reads the property post type and the postmeta keys WP Property Listings writes (price, bedrooms, status, agent, listed date) and renders the office's stock as Number, Pie, Bar and Area cards instead of one long property list.
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Days on market, status mix, agent pipeline, on one screen
WP Property Listings stores every property as a custom post type, with the real-estate fields (price, beds, baths, status, agent, listed date, suburb) sitting in wp_postmeta. The default WordPress admin treats those as form fields, not columns, so questions like "how much stock is under offer this week" or "which agent has the most stale listings" need either a CSV export to a spreadsheet or a click into every record.
SleekView Charts reads the same posts and meta the table view uses, but renders the answers as chart cards. A Number card shows total active stock. A Pie shows the split across listed, under offer, sold and withdrawn. A Bar groups listings per agent so the principal can see workload at a glance. An Area trends new listings per week so the marketing lead has an honest picture of supply rather than a vague impression.
The dashboard sits on the same dataset as the table, so a filter applied in either view carries to the other. Filter to listings priced above $1m and the pie, bar, area and KPI all narrow to that band. Nothing is duplicated into a separate reporting tool, nothing gets out of sync with the listings the team is actually working.
Workflow
Turn property postmeta into a stock dashboard
Read the property post type
Compose the chart cards
Save and scope the dashboard
Share or export
Sample dashboard
Charts you can build from WP Property Listings data
Active stock total
Count
Listings by status
Count
group by listing_status
Listings per agent
Count
group by property_agent
New listings per week
Count
group by property_listed_date
Comparison
Default WP Property Listings admin vs SleekView Charts
Default property admin
- No KPI view of active stock as a single number
- Cannot visualise the status mix across listed, under offer, sold or withdrawn
- No bar of listings per agent to balance workload across the office
- No time series of new listings to plan marketing capacity
- Price bands, suburb mix and days on market stay invisible at aggregate level
SleekView Charts
- KPI card for active stock across the whole office
- Pie split across listed, under offer, sold, withdrawn
- Bar of listings per agent for workload and stale-stock checks
- Area trend of new listings per week for supply planning
- Filters carry between table view and chart view on the same dataset
Features
What SleekView Charts gives you for WP Property Listings
Stock as a dashboard, not a list
Render the office's pipeline as Number, Pie, Bar and Area cards so principals and marketing see the shape of the book, not just one more row in the admin.
Same filters, two views
Filter to one suburb or one agent in the chart view and the underlying property table stays in sync. Same postmeta, two ways of reading it.
Share with vendors and principals
Send a vendor a read-only snapshot of their suburb's stock, or a franchise principal a portfolio dashboard, without exporting to a separate tool.
Audience
Who builds WP Property Listings charts dashboards with SleekView
Office principals
Watch active stock, status mix and per-agent workload as a daily cockpit. Spot stale stock and underperforming campaigns before the weekly meeting, not in it.
Agents
Scope the dashboard to their own listings via a capability-gated saved view. Status mix and new-listings trend become a personal pipeline check, not an office-wide spreadsheet.
Marketing leads
Group listings by suburb or price band to plan campaign capacity. Trend new listings against campaign budgets so spend lines up with the stock that actually exists.
The bigger picture
Why real estate offices need a chart view, not just a property list
Real estate offices run on a small set of recurring questions. How much active stock do we hold, what is its status split, who is carrying it, and is the pipeline growing or shrinking. WP Property Listings already stores everything needed to answer those questions, but the default WordPress admin treats price, status, agent and listed date as form fields hidden behind each row.
The result is a workflow where managers either click into every listing or export to a spreadsheet to see the shape of the book. A chart view that treats those same postmeta keys as group-by columns turns the morning check-in into a thirty-second glance. Per-agent saved views remove the office-wide noise for individual agents.
Status pies make stalled stock visible. Time-series cards expose supply trends that no row-level view can. None of this competes with the listings or campaigns the plugin already powers, it just gives the office the cockpit ecommerce and CRM teams have had for a decade, on data they already maintain.
Questions
Common questions about SleekView Charts for WP Property Listings
The property post type and the postmeta WP Property Listings already writes, including price, bedrooms, bathrooms, listing status, assigned agent, suburb taxonomy and listed date. No additional meta keys are required and no premium add-on is needed for the chart view.
Yes. The table view and the chart view sit on the same dataset, so a filter for one suburb, one agent or a price band applies to both surfaces. Principals can pivot between a row-level audit and a chart-level summary without rebuilding the filter.
Yes. Save a view that filters by the property_agent meta key and gate it by a per-user capability. Each agent logs in and sees a dashboard scoped to their own pipeline, with status mix, KPI and supply trend reflecting only their stock.
Yes. The price column accepts grouped ranges, so a Bar or Pie can split listings by sub-$500k, $500k to $1m, $1m to $2m and above. Useful for offices that pitch a particular price band to a specific marketing channel.
Yes. Group by the listed-date meta with an Area or Line card and pick Count to see new listings per week or month. Marketing leads use the trend to plan campaign capacity and to confirm seasonality assumptions rather than guess at them.
Yes. Any filtered set behind a chart card exports to CSV with the same columns the table view would show. Marketing typically uses this for portal uploads, brochure runs or campaign briefs without a designer round-trip.
Yes. Save a dashboard per office and a portfolio dashboard for the principal. The portfolio view groups by office taxonomy or assigned agent across offices, so franchise leads see comparative performance without combining spreadsheets.
Yes. Add a derived column from the listed-date meta and surface it as an average in a Number card or as a Bar grouped by agent. Days on market is one of the truest indicators of pricing accuracy and is one of the simplest aggregations to set up.
Pricing
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