Local market intelligence from several different angles.

Start with the local market.

Area statistics provide the broad market picture for sales or rentals: live stock, new listings, recent agreements, median asking price or rent and bedroom-level breakdowns.

The statistical pages can broaden from a full postcode to its sector or district when the most local sample is too small, making it clear which geography is actually being analysed.

Understand speed and pricing behaviour.

Market dynamics looks beyond headline stock counts. It includes stock-age bands, agreement timing and the relationship between price reductions and the eventual time to SSTC or let agreed.

You can see typical time to first reduction, typical agreement time for listings that did not reduce, agreement time for those that did, and fall-through incidence where the lifecycle data supports it.

Build a live comparable set.

Select bedroom count and search radius to analyse competing live properties around the chosen location. Clockwork calculates average and median asking values and a typical range designed to reduce the influence of unusually high or low listings.

The same comparable set feeds the charts, map and property list, so you can move from the headline number to the actual listings behind it.

See where the competition is.

Comparable properties are plotted geographically and positioned against the sample median. This makes clusters and unusually priced listings easier to identify than from a table alone.

Individual listings can be opened for deeper property intelligence without losing the surrounding market context.

Test the proposed price before you recommend it.

Enter a proposed asking price or rent, bedrooms and optional property type. The scenario compares that figure with live competing stock and recent local lifecycle evidence to give an indicative market-fit assessment.

It is designed as a decision-support tool rather than a valuation or guaranteed probability of sale or letting. The comparable sample remains visible so the assessment can be challenged and understood.

Put one listing into context.

Property detail combines the advertised listing with market intelligence: current asking value, comparable median, broader local median, similar live stock, typical agreement time and reduction evidence.

This makes it possible to move directly from an area-level analysis to the circumstances of a particular property.

Understand who holds the local stock.

Nearby agent activity shows branches around the selected market, their live property counts and their share of the competing stock. It adds an agency-level view to the property-level analysis.

Compare nearby markets geographically.

Heat-map views help reveal differences between neighbouring postcode areas, providing a visual route into local pricing and market-performance statistics.