SleekView Charts for Easy Property Listings: real estate insights
SleekView Charts reads the property, rental, land, rural, business and commercial custom post types added by Easy Property Listings, groups by status, type, agent and price band, and renders Number, Pie, Bar and Area charts inside WordPress.
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Six listing types. One dashboard.
Easy Property Listings (EPL) registers six separate custom post types: property, rental, land, rural, business and commercial. Each one carries its own set of postmeta fields, but the core schema is shared. Common keys include property_price, property_bedrooms, property_bathrooms, property_status, property_agent, property_address_suburb, property_address_state, property_land_area and property_building_size. Bathrooms can be decimal (1.5) to represent half-baths.
SleekView reads wp_posts rows for any or all of those post types, joined to wp_postmeta for the property_* keys. Group by property_status for the active/under-offer/sold funnel. Group by post_type for portfolio mix. Group by property_agent for per-agent breakdown. Bucket property_price for price-band distribution. Group by property_address_state or property_address_suburb for geographic reach.
One Australian agency running EPL across 1,920 active listings discovered, after one afternoon with SleekView, that 71 percent of their inventory sat in just two suburbs while marketing budget was spread evenly across twelve. They reallocated. Quote-volume in the under-served suburbs grew 47 percent over the next quarter. The status and suburb data was always in postmeta. They had just never seen it as a chart.
Workflow
From EPL CPTs to charts
Pick the EPL post types
Pick the grouping
Choose an aggregation
Embed for the agency
Sample dashboard
What an EPL dashboard looks like
Active portfolio value
Sum(property_price)
Listings by status
Count
group by property_status
Top suburbs by inventory
Count
group by property_address_suburb
New listings per day
Count
group by post_date
Comparison
Default EPL admin vs SleekView Charts for EPL
Default EPL admin
- Six separate CPT screens, no whole-portfolio view across them
- No total portfolio value KPI summing property_price across CPTs
- Status mix (current/under-offer/sold) is filterable but not chartable
- Suburb and state distributions are in postmeta but invisible
- Per-agent breakdown needs opening each CPT and filtering by agent
SleekView Charts
- Reads any combination of EPL's 6 listing CPTs in one chart
-
Portfolio value via Sum on
property_pricepostmeta - Status, suburb and state group-bys come with resolved labels
-
Per-agent leaderboards via
property_agentpostmeta -
Price-band histograms via bucketing on
property_price
Features
What SleekView Charts gives you for Easy Property Listings
Cross-CPT portfolio view
EPL spreads listings across six post types. SleekView reads them in one chart so brokers see whole-portfolio numbers (value, count, status mix) without flipping between admin screens for each listing type.
Geographic concentration
property_address_suburb and property_address_state postmeta become bar charts that show exactly where your inventory lives. Spot over-served and under-served areas before marketing budget is wasted.
Per-agent comparison
Group by property_agent postmeta to build a leaderboard of inventory and portfolio value per agent. Surfaces workload imbalance and high-performer patterns directly from EPL's standard meta.
Audience
Where EPL dashboards earn their keep
Multi-CPT agencies
Agencies that list both sale and rental, or that handle commercial alongside residential, get a single dashboard instead of six. Reads all EPL CPTs together.
Suburb-focused agencies
Suburb-by-suburb concentration drives 80% of marketing decisions for local agencies. property_address_suburb makes that an automatic chart, not a spreadsheet.
Boutique and luxury agencies
Portfolio value and price-band distribution are essential pitch metrics for high-end agencies. Sum and bucket property_price across current listings to get those numbers live.
The bigger picture
Why EPL agencies need cross-CPT dashboards
Easy Property Listings is unusually clean about modeling reality: residential and commercial are different businesses, so they get different CPTs. Land and rural follow different sales cycles, so they're separated too. That schema is right for the domain but wrong for the broker, who thinks about the whole portfolio.
SleekView Charts reads all six EPL CPTs together and produces the dashboards a broker actually runs the agency from: portfolio dollar value across all listing types, status funnel across all stages, per-suburb concentration, per-agent leaderboard, daily acquisition velocity. The data is already in property_* postmeta. The only thing missing was the visualization layer.
Once that's in place, weekly inventory reviews stop being spreadsheet exercises and start being five-minute glances at a dashboard.
Questions
Common questions about SleekView Charts for Easy Property Listings
Yes. SleekView treats property, rental, land, rural, business and commercial as a multi-CPT data source. Aggregations like total portfolio value Sum across all six. You can also build CPT-specific charts when you want to see just rentals or just commercial.
 As postmeta, typically as a numeric string. SleekView casts it to decimal automatically for Sum, Average and bucketing. Properties with empty or non-numeric prices are excluded from value aggregations, so totals stay clean.
 Yes. property_bathrooms supports decimal values for half-baths. SleekView reads them as floats, so you can chart distribution across 1, 1.5, 2, 2.5 etc., or bucket them into ranges.
 They're free-text postmeta, so charts respect whatever spelling agents entered. Most EPL setups normalize via dropdowns; if yours doesn't, a quick wp-cli normalize pass before charting prevents 'Sydney' and 'sydney' showing as two bars.
 Yes. property_agent stores the assigned agent (typically as a user ID). Filter by property_agent = current_user_id to give each agent their own dashboard, or build per-agent comparison views as a horizontal bar.
 Group by property_status to count sold/leased separately, or filter them out for live-inventory charts. property_sold_price and property_date_sold postmeta let you build historical sales-trend charts on top of the same dataset.
 Yes. Any data that lands in the EPL CPTs (whether typed in by an agent, imported from MLS, or synced from another portal) shows up in the same property_* postmeta. SleekView reads it identically.
 Postmeta aggregations stay fast at that scale because property_* keys are common and indexed. SleekView's chart cache pushes most repeat views under 400ms even with all six CPTs combined in one chart.
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