Net profit per square metre
Selling price minus land, construction, marketing and channel costs, calculated per unit and rolled up by project, location and price tier.
TURBOARD brings sales, construction cost, channel and collections data from every project into one governed model, so developers see net profitability by project, location and channel without waiting for month-end.
Real estate companies run dozens of projects across several locations and sales channels. Each project’s sales sit in its own spreadsheet, construction costs in the project accounts, leads in the CRM and channel commissions somewhere else. Location comparisons appear only when someone compiles them by hand, so the highest-revenue project can turn out to be the lowest-margin one long after the decisions were made.
TURBOARD combines land, construction, marketing and commission costs with sales and collections, and calculates net profit per square metre by project, location and channel from one set of definitions. Sales, finance and project teams look at the same figures, and questions such as which channel to scale or where to revise prices are answered from current data.
Asked which project, location and price tier delivers the highest profit per square metre, JAS finds the relevant showcase in a library of hundreds of dashboards and opens it. She then compares sales channels by return on investment, and the findings are laid out as an action-plan view.
Selling price minus land, construction, marketing and channel costs, calculated per unit and rolled up by project, location and price tier.
Projects of similar segment and price range compared across locations, revealing where performance falls short of comparable sites.
Online portals, agencies, referrals and direct sales compared by sales share, commission cost and return per unit sold.
Units sold, reserved and remaining by project, with sales pace and reservation-to-contract conversion tracked over time.
Budget against actual cost by project and work package, with variances highlighted by conditional formatting.
Collections against the payment schedule, overdue instalments and net cash flow by project, distributed to finance on schedule.
Sales, cost, channel and lead data for each project live in separate spreadsheets, and consolidation takes days.
Sales, costs, commissions and CRM data feed one governed model, so profit per square metre is always calculated the same way.
Nobody can say with confidence which channel delivers the best return after commission.
Each channel’s sales share, commission cost and return per unit sold appear side by side.
Comparing projects in different regions with the same metrics requires manual compilation.
Location benchmarks and patented dashboard cloning put projects, locations and periods next to each other.
Weekly and monthly report cycles delay pricing and investment decisions.
JAS finds the relevant dashboard or builds a new one from a plain-language question, from current data.
JAS, the AI assistant built into TURBOARD, answers from the same governed project model your reports use. Ask in plain language and she first looks for an existing trusted showcase, then writes the query and builds the chart if none exists. With JAS Explain, any dashboard comes with a written interpretation of what changed and why.
Explore JAS capabilities →We will connect a sample of your sales, cost and channel data and show how TURBOARD and JAS reveal profitability per square metre.