Case
Real estate

The Kvadratnyi Metr CRM

Kvadratnyi Metr is a CRM for a real estate agency: request tracking, a sales funnel and analytics by agent and by traffic source. The interface is built around the daily routine of a sales team - from a client’s first enquiry to a closed deal.

Who it fits: real estate agencies that keep properties and clients in spreadsheets and lose requests because there is no single funnel and no visibility into which stage each deal sits at.

Stack: React with Vite, Tailwind CSS for the interface and Recharts for charts and diagrams.

React
Vite
Tailwind CSS
Recharts

Front-end demo on test data. This is a front-end demo running on test data - it illustrates the interface and the logic of the CRM. The figures, names, addresses and contacts in the screenshots are invented and belong to no real client or deal.

How the interface looks

CRM for a real estate agency - deal dashboard with KPIs and a sales funnel — Dashboard: active deals, the value in progress, the average deal size and lead-to-deal conversion. Next to it - the funnel with drop-off at every step, agent performance and response time to a request.

Deal kanban board in a real estate CRM - stages from a new lead to a closed deal — Deal kanban: five stages from a new lead to a closed deal. A card can be dragged into the next stage, and each column header shows the number of deals and their total value.

Property catalogue in the CRM - cards for flats, houses and commercial units with filters — Property catalogue: flats, houses, commercial units and land plots, filtered by type, sale status, area, floor and price. Each card shows the view count and the agent in charge.

Client database in a CRM for realtors - buyers and sellers with budget and deal status — Client database: buyers, sellers and exchanges. Every record carries the request, the budget, the deal status, the agent in charge and the date it entered the database; search, type filters and export included.

Request-source reports in a real estate agency CRM - plan versus actual and sales by district — Reports: plan versus actual deal volume by month, request sources (OLX, the agency website, referrals, Instagram, Google Ads) and the distribution of sales across city districts.

Per-agent analytics in a real estate CRM - closed deals, commission and rating — Agents: closed deals, volume, commission, average response time and rating for every agent, plus a combined chart of the team’s results for the month.

What the system can do

→ A single request funnel: new lead → viewing → negotiation → deposit → deal closed, with end-to-end conversion and drop-off at every step
→ A deal kanban board with drag-and-drop between stages and the total deal value per stage
→ A property catalogue: flats, houses, commercial units and land plots - with filters, sale statuses and view counts
→ A buyer and seller database: client type, request, budget, agent in charge and the date added
→ Per-agent analytics: closed deals, volume, commission, average response time and rating
→ Plan-versus-actual reports on deal volume and the distribution of sales across city districts
→ Request sources with the share of each channel - it shows which traffic actually brings deals
→ Response-time control: the target, the actual value and a chart for the last 14 days
→ Search by address, client and request number, plus export of the database and reports

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