✨ 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
✨ 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

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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SleekView Charts dashboard for Easy Property Listings

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

1

Pick the EPL post types

Select any combination of property, rental, land, rural, business and commercial CPTs as data sources. SleekView discovers the shared property_* postmeta keys and any custom fields your theme adds on top.
2

Pick the grouping

Group by property_status (current, under-offer, sold, leased), by post_type for portfolio mix, by property_agent for agent comparison, by property_address_state or suburb for geography, by price bucket for price distribution.
3

Choose an aggregation

Count for inventory, Sum on property_price for portfolio dollar value, Average for typical asking price, Maximum for top of book. Filter by status to focus only on currently active listings.
4

Embed for the agency

Brokers see whole-agency portfolio value and status mix. Agents see filtered-by-agent dashboards. Marketing sees geographic distribution to plan campaigns. All from data EPL already writes into postmeta.

Sample dashboard

What an EPL dashboard looks like

A four-card layout reading directly from EPL's six property CPTs. Portfolio value KPI, status funnel, listings by suburb, and a daily new-listing trend.
Number · Default

Active portfolio value

A KPI summing property_price postmeta across property, rental and commercial CPTs where property_status = 'current', with last quarter shown underneath. Sold and leased listings excluded so the total reflects live inventory.
Sum(property_price)
Pie · Donut

Listings by status

A donut split across current, under-offer, sold, leased and withdrawn, sourced from property_status postmeta on every EPL CPT. Brokers see lifecycle distribution and where listings pile up.
Count group by property_status
Bar · Horizontal

Top suburbs by inventory

Horizontal bar grouping listings by property_address_suburb postmeta. Surfaces geographic concentration and gaps, critical for marketing allocation and for spotting which suburbs you actually dominate.
Count group by property_address_suburb
Area · Gradient

New listings per day

Gradient area chart counting EPL property posts per day from post_date across all listing CPTs, useful for measuring listing acquisition velocity and the impact of recruiting drives or vendor pitches.
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_price postmeta
  • Status, suburb and state group-bys come with resolved labels
  • Per-agent leaderboards via property_agent postmeta
  • 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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