SleekView Charts for BookingPress
BookingPress stores appointments, customers, services, and payments in wp_bookingpress_* tables that never share a screen. SleekView Charts joins them once and renders configurable dashboards for ops, owners, and finance.
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BookingPress data, finally readable as a dashboard
BookingPress is calendar-first like most appointment plugins, with built-in reporting that covers the basics and stops short of configurable dashboards. The data behind the calendar is rich: wp_bookingpress_appointment_bookings carries every appointment, wp_bookingpress_customers the customer list, wp_bookingpress_services the catalog, wp_bookingpress_payments the money. Joining them for a weekly review means exports.
SleekView Charts treats the BookingPress tables as one joined dataset and offers a chart grammar over the top. Number cards for top-line counts, Pie or Donut cards for status and service mix, Bar cards for per-staff or per-service revenue, Area cards for daily booking volume. Filters at the dashboard level cover the dimensions BookingPress already tracks: date range, service, staff, location.
Cards read live from the BookingPress tables and respect any role gating the install has in place. A practice manager pins their own dashboard, the owner pins another, and finance pins a third for month-end reconciliation. The chart layer doesn't replace the BookingPress admin; it adds the dashboard half the plugin was missing.
Workflow
BookingPress data to a chart dashboard
Source from appointment bookings
wp_bookingpress_appointment_bookings as the dataset base. Each row carries the foreign keys to customer, service, staff, and payment.
Join supporting tables
wp_bookingpress_customers, wp_bookingpress_services, and wp_bookingpress_payments onto the dataset so each row holds every dimension a chart might group by.
Configure four cards
Pin role-based dashboards
Sample dashboard
Charts you can build from BookingPress data
Today's bookings
Count
Status mix
Count
group by bookingpress_appointment_status
Revenue by service
Sum(total_price)
group by service_id
Bookings per day
Count
group by appointment_date
Comparison
Default BookingPress reporting vs SleekView Charts
Default BookingPress reports
- BookingPress reports cover basics and aren't configurable per role
- No way to pin a personal dashboard for a practice manager or owner
- Service revenue and staff revenue rankings aren't first-class charts
- Filters apply per report, not across a multi-card dashboard
- Gateway breakdowns require manual joins with the payments table
SleekView Charts
- Configurable cards over the joined BookingPress tables
- Per-role dashboards (ops, owners, finance) with capability gating
- Dashboard-level filters cascade to every card
- Number, Bar, Donut, Area, and Line cards in one workspace
- Click-through from chart segment to a filtered SleekView table
Features
What SleekView Charts gives you for BookingPress
Configurable BookingPress KPIs
Pick the metric and the dimension per card. Move from a service-revenue ranking to a staff-revenue ranking by changing one selector.
Joined appointment data
Appointments, customers, services, and payments are joined once for both tables and charts, so the grouping options on a chart match the columns on a table view.
Per-role pinning
Owners, practice managers, front desk, and finance each pin the dashboard that matches their job, capability-gated where needed.
Audience
Who builds BookingPress charts dashboards with SleekView
Practice owners
Service and staff revenue rankings, daily booking trend, and pending count side by side. The monthly review runs from the dashboard.
Reception
Pending counts, today's load, and no-show share at a glance. Bulk confirmations and reschedules happen from the linked table view.
Finance
Per-gateway totals, refund counts, and unpaid balances filtered by date range. Reconciliation runs from a single saved dashboard.
The bigger picture
Why BookingPress needs a configurable dashboard
BookingPress earns its place by handling the booking flow cleanly and storing the data in well-shaped tables. The default reports give a glance and the calendar gives the schedule, but the configurable dashboard most teams want is missing. The questions don't change much from one BookingPress install to another: which services drive revenue, which staff carry the load, what share of the week's bookings still need confirming, how this month compares to last.
Each one is one chart against one dataset, and the dataset already exists. SleekView Charts adds the configurable card layer, so practice owners stop building the report from scratch and start running it from a saved dashboard each Monday morning.
Questions
Common questions about SleekView Charts for BookingPress
Yes. Cards are scoped to what the viewing role can see. If a staff role is gated to their own bookings, the per-staff revenue chart shows only their slice, not the team's.
Yes. Custom fields BookingPress stores against an appointment can be exposed as columns on the dataset and used as a chart's grouping dimension. Useful for intake-question segmentation and special-flag tracking.
Yes. Location is a column on the appointments dataset, so cards can group by location or filter to a single branch. Multi-location operators usually pin one global dashboard and one per branch.
Refunds are reflected in the payments table. Group by payment status to see refunds as their own slice, or filter the revenue chart to status equals captured for a net-revenue view.
Yes. Each slice or bar links to the matching SleekView table view, filtered to that segment, with the full row-level inline-edit and bulk-action toolset available.
Yes. Recurring occurrences appear as separate rows on the dataset, so each one is counted once. Group by recurring parent ID to roll up series-level counts and revenue.
Aggregations run server-side on the indexes BookingPress already maintains on its tables. Dashboards render quickly even on installs with thousands of bookings, because the chart layer pushes work to the database.
Yes. From any card, drill into the linked SleekView table and export the filtered rows to CSV with the visible columns. Useful when a chart prompts a deeper question that needs a spreadsheet pivot.
Pricing
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