Property market: predictions based in data with Market Analytics

CASAFARI’s Market Analytics enables real estate professionals and investors to make data-driven property market predictions by analysing historical and current market stock, the evolution of asking and closing prices, price distribution, and time on the market. These insights are filtered by location, typology, asset class, condition, and transaction type to support strategic decision-making.

What is Market Analytics and how does it help with property market predictions?

Market Analytics, available within Area Insights, is a powerful tool that analyses historical behaviours and trends, enabling users to identify patterns and make informed projections about future market movements.

This sophisticated platform empowers real estate professionals and investors with the actionable insights needed for informed decision-making on topics such as market stock, the evolution of property prices, as well as the time each type of asset spends on the market.

This is all done in a hyper-localised and niched way, allowing you to filter your research according to:

• specific markets;
• specific typologies;
• different types of assets;
• specific property conditions;
• the type of transaction, rent or sale.

Following the evolution of property prices

Imagine you need to make predictions for the property prices in 2024, so you understand how to best advise your clients during the year. How would you look for such information inside Market Analytics?

Within CASAFARI’s Time Series feature, users can delve into the nuanced market behaviour specific to each asset type over time, providing invaluable insights into long-term shifts and trends within the real estate landscape.

This section of Market Analytics offers detailed charts illustrating fluctuations in average asking prices and the number of properties experiencing increases or decreases in value, as well as by how much they are appreciating or depreciating.

This granular analysis proves particularly beneficial for individuals seeking to make informed investment decisions or advising clients willing to invest in real estate. By assessing which assets are on a trajectory of appreciation or depreciation, users can gain a comprehensive understanding of potential returns on investment.

On the other hand, inside Price Distribution, another feature of Market Analytics, the charts show another interesting information: how are the assets distributed per price segment. Which means, you will be able to visualise what prices are most commonly practised for a specific asset type, as well as in which segments there is a greater or lesser stock.

Assessing market stock and demand

Within the Time Series feature of Market Analytics, it is also possible to assess stock movements, as well as charts showing the properties added to the market or sold. This helps professionals to view which locations in a city, district, or country are experiencing increased demand.

Also, this analysis yields valuable insights about which properties are more likely to maintain high occupancy rates when in rental or are prone to easy resale in the future or, similarly, identify regions with low demand, alerting to the potential difficulty in finding tenants or buyers.

Whereas on Price Distribution, you can see how long properties spend on the market currently, according to their typology, asset class and price segment.

Meaning that, when comparing this data with the historical data you find on Time Series, you can find out which typologies and asset classes are becoming more or less attractive to potential buyers or tenants.

Understanding negotiation patterns

With our Heat Map, agents can see the average closing price for deals in specific areas. This allows real estate professionals to calculate the range between asking price and the final value of the sale, preparing their negotiation skills for both increasing and decreasing prices.

It also impacts pricings strategies in different areas of a city that one single professional might work with.

Start basing your property market predictions on more than experience and feeling: CASAFARI’s technology provides you with all the data you need to analyse the evolution of property prices, the demand for different assets in different markets and more.

Frequently asked questions

What filters can I apply in CASAFARI’s Market Analytics?

In CASAFARI’s Market Analytics, you can filter hyper-localised market research by specific markets, property typologies, asset classes, property conditions, and transaction types (rent or sale). This allows real estate professionals to tailor their analysis to very targeted market segments.

How does the Time Series tool help track property price trends?

The Time Series tool tracks historical market behaviour for each asset type over time. It displays fluctuations in average asking prices, highlights the volume of properties appreciating or depreciating, and tracks stock movements such as new listings added or properties sold.

What does the Price Distribution chart show in Market Analytics?

The Price Distribution chart illustrates how assets are spread across price segments. It highlights the most common asking price ranges, available stock volume per segment, and the time properties currently spend on the market filtered by typology, asset class, and price bracket.

How can estate agents use the Heat Map to prepare for price negotiations?

The Heat Map displays average closing prices across specific areas, allowing agents to compare asking prices directly with final transaction values. By understanding these margins, agents can adapt their pricing and negotiation strategies to local neighbourhood trends.

How does Market Analytics help identify areas with high buyer or tenant demand?

By cross-referencing listings added and sold in Time Series with current time-on-the-market figures in Price Distribution, professionals can spot locations with rapid market absorption. Developers can also refer to the Area Insights API documentation for technical details on integrating market trends. This makes it straightforward to identify typologies and locations with high rental occupancy or easier resale potential.