How to research sales history with historical sales data

In This Tutorial:

This tutorial focuses on BOOM!’s sales history feature in Data Studio, demonstrating how to:

• Access and filter historical sales data;

• Interact with sales data through pins and clusters;

• Leverage additional data sources like Rightmove to enrich insights;

• Use integrated visualisations and future enhancements for a more detailed understanding of sales trends.

Steps to Use the Sales History Feature

Step 1: Activate the Sales History Layer

1. Choose a specific area on the map (e.g., Liberia Road in Islington);

2. On the left toolbar, select the Sales History panel (4th from the top);

3. Define your search parameters:

   1. Date Range: Set from January 2010 to December 2023;

   2. Property Types: Keep all types selected (e.g., freehold, leasehold, detached, flat);

   3. Gross Internal Area (GIA): Default at 500 square meters;

4. Apply filters to render the results.

Step 2: Interact with the Map

Pins and Clusters:

• Larger datasets appear as clusters, which de-cluster into pins when zooming.

• Individual pins represent specific properties with sales data; clusters represent multiple properties.

Zooming:

• Zoom-in to access detailed information about individual properties or land titles;

• Zoom-out to view broader trends.

Step 3: Access Property Sales Details

1. Click on a pin to view:

   1. Sale price;

   2. Transaction date.

2. Link to historical property listings on Rightmove for quality insights;

3. Use hyperlinks to open Rightmove listings directly in a new tab.

Enhancing Context with Land Titles

1. Activate the Land Titles layer (2nd panel on the left);

   1. Filter for Freehold titles for focused analysis;

2. Change visualisation to Class of Title to highlight Freehold properties in teal;

3. Combine sales pins and land titles for deeper context into graphical analysis.

Graphical Insights and Future Enhancements

Sales Price Trends:

Future updates will include graphs showing sale price per square meter over time, as well as scatter graphs depicting average sales value achieved.

Live Rightmove Data:

As an add-on feature, BOOM! will integrate live Rightmove data for real-time property comparisons.

Best Practices for Sales History Analysis

Use Clusters and Pins:

• Zooming allows for easier navigation between aggregate data and individual property insights.

Rightmove for GDV Estimates:

• Historical listings help estimate Gross Development Value (GDV) based on property quality and features.

Combine Layers:

• Overlay Land Titles with sales history to connect ownership details with transaction data.