Skip to content

Web Platform • CRM Integration • Performance

Luxury Property Platform

A premium property experience connecting discovery, content, customer journeys and operational systems.

Industry
Real estate

Illustrative interface. Replace with a real screenshot by setting the project’s image field in the content configuration.

Challenge

The problem

Property search, editorial content and the sales pipeline lived in separate systems that did not share data. Listings were re-entered by hand, enquiries arrived without context about what the buyer had been browsing, and page performance degraded as the catalogue grew.

Goals

  • Unify listing data across the website and the sales pipeline
  • Make search and filtering fast enough to browse casually
  • Give the sales team full context on every enquiry
  • Support editorial content alongside listings without a second system
Approach

How we tackled it

  • Data model first

    Listings, locations, agents and enquiries were modelled before any interface work, so a single record could serve the website, the CRM and the search index.

  • Search architecture

    Filtering and sorting were moved to a dedicated index rather than querying the primary database on every keystroke.

  • Enquiry context

    Enquiries carry the browsing history that produced them, so the first sales conversation starts informed.

  • Editorial system

    A structured content model lets the marketing team publish guides and area pages that link into listings.

Design

Design process

The interface was designed around two very different modes: relaxed browsing and focused comparison. Component design work started with the listing card, because it appears in every context and sets the density of everything around it.

Technology

  • Next.js
  • TypeScript
  • PostgreSQL
  • Search indexing
  • CRM integration
  • Vercel

Security considerations

  • Access control separating public listings from internal pipeline data
  • Rate limiting and validation on enquiry endpoints to prevent abuse
  • Careful handling of personal data in enquiry records
  • Dependency and configuration review before launch
Outcome

What we delivered

A single platform where listings, content and enquiries share one data layer. The marketing team publishes without developer involvement, and the sales team works from records that arrive complete.

Results

  • Listing data maintained in one place rather than re-entered across systems
  • Search and filtering responsive enough for exploratory browsing
  • Enquiries reach the sales team with browsing context attached
  • Editorial content and listings interlinked within one publishing workflow

Results describe delivered capability. We publish measured figures only where the client has supplied the data and approved its use.

Building something similar?

Tell us where you are and what needs to be true at the end. We will come back with an approach.