{"id":41916,"date":"2021-08-05T14:05:30","date_gmt":"2021-08-05T06:05:30","guid":{"rendered":"https:\/\/www.99.co\/singapore\/insider\/?p=41916"},"modified":"2022-06-13T17:27:33","modified_gmt":"2022-06-13T09:27:33","slug":"x-value-agents-free-tool-track-clients-property-value","status":"publish","type":"post","link":"https:\/\/www.99.co\/singapore\/insider\/x-value-agents-free-tool-track-clients-property-value\/","title":{"rendered":"X-Value: An agent’s free tool to track a client’s property value"},"content":{"rendered":"
<\/div>

As an agent, do you often find it difficult to track the value of your client\u2019s homes? Perhaps sometimes, you feel it\u2019s a hassle to always put your clients on hold so you can refer to past transaction records.<\/p>\n

In any sales conversation, time is essential and convincing your clients how much they can potentially sell their house for quickly can often make or break the deal for you.<\/p>\n

While pinning down the exact value of a property is difficult, our new X-Value tool leverages our deep bank of data to help you get a figure quickly. SRX, a subsidiary of 99 Group, was the first to introduce this concept to the industry since 2014. Since then, it\u2019s become a reliable point of reference of a property\u2019s value after certified appraisals.<\/p>\n

What is X-Value?<\/h2>\n

X-Value<\/strong> automates property valuation calculations, based on different machine learning models<\/a> which observe real estate data patterns through time, location and property attributes. In simple terms, it\u2019s an artificial intelligence with access to a huge amount of historical and real-time real estate data.<\/p>\n

Through complex calculations, it is able to provide a near-accurate value of a specific property in Singapore based on its postal address – serving as a quick, convenient and reliable point of reference for prospective buyers and sellers.<\/p>\n

\"99.co
You’ll find X-Value on your agent account under ‘Unit Analysis’ from the Tools dropdown.<\/figcaption><\/figure>\n

 <\/p>\n

\"99.co
To access a property’s X-Value, you’ll just need its address or postal code.<\/figcaption><\/figure>\n

 <\/p>\n

\"99.co
You can enter other details like property category, unit number and if available, the floor area will be auto-populated.<\/figcaption><\/figure>\n

Why X-Value?<\/h2>\n

Short of paying for a certified appraisal and the time that would take, X-Value is a quick method to have an inkling of a property\u2019s value on the fly without any additional charge.<\/p>\n

This is critical for an agent like yourself, especially when you\u2019re engaging with a client on the phone while on the move. Instead of making your client wait, you can quickly access X-Value on your mobile device and strike a confident conversation with your client, while preparing to deep-dive into further details.<\/p>\n

\"\"<\/p>\n

How accurate is the X-Value?<\/h2>\n

Using various sources of real estate data across time, location and property attributes, our machine learning models are configured to remain relevant to current property price dynamics.<\/p>\n

You can be assured the value you’re seeing is updated and true at the time of generation.<\/p>\n

\"property<\/p>\n

It is important to note that X-Value is a price estimate based on historical transactions, location, time and property attributes. We know that there are many variables when it entails predicting a price, or a point of reference, for a particular asset class.<\/p>\n

In simple terms, we know the following makes sense:<\/p>\n

    \n
  • Higher floor (non-landed) => higher cost<\/li>\n
  • Bigger floor area => higher cost<\/li>\n
  • Newer house => higher cost<\/li>\n
  • Nearer to amenities (eg. MRT) => higher cost<\/li>\n<\/ul>\n

    Here’s an illustration to reflect this:<\/p>\n

    \"Property<\/p>\n

    So when there are many variables, the probability of two properties being identical, or identically priced, is usually low.<\/p>\n

    Over the years of training its machine learning models, SRX has been able to compile its X-Value performance to be as accurate as possible. In other words, as much as possible, we aspire for X-Value to inch closer to the final transacted price for the same property.<\/p>\n

    From the histogram comparing X-Value vs the prices of past transactions of Resale HDB and Condominiums, it is clear that the majority of transactions are centred around 0% difference. This means that the difference between X-Value and the closing price is almost the same. For Resale HDB, the median percentage difference is only 2.8%. For Condominiums, it is even better at 2.1%.<\/p>\n

    \"X-Value<\/p>\n

    \"X-Value<\/p>\n

    How is X-Value constantly enhanced?<\/h2>\n

    One method used to enhance X-Value is via backtesting. Backtesting assesses how well a strategy or model is when tested with unseen data (ie. no recent, comparable transactions).<\/p>\n

    The X-value is constantly backtested with historical data at every training and model-tuning step to ensure that it maintains or improves from its previous best performance.<\/p>\n

    In backtesting, we assess X-value predictions of properties against their true historical values (while ensuring that we do not have target leakage).<\/p>\n

    For example, if a particular property in our historical record was transacted for $500,000, an X-Value that perfectly predicts the price as $500,000 will yield a difference of 0%. If the X-Value over-values its prediction by $100,000 (i.e. at $600,000), this will yield a difference of +20%. Conversely, if it under-values it by $100,000 (i.e. at $400,000), this is a difference of -20%.<\/p>\n

    For all properties that we backtested, we recorded the X-Value percentage difference with the true value and plotted them as a histogram (as shown above).<\/p>\n

    \"\"<\/p>\n

    Can an agent increase or decrease the asking price based on X-Value?<\/h2>\n

    With the price deviation shared earlier, an agent can potentially use that to derive a target price range above and below X-Value.<\/p>\n

    –<\/p>\n

    As we continue to train and improve the X-Value machine learning models, additional datasets (like HDB Minimum Occupation Period) will be introduced to better bring the deviations lower.<\/p>\n

    For an agent, it will give you greater trust and confidence when you communicate the potential value of a property to your prospective homebuyers and sellers.<\/p>\n

    So do sign-up and track your clients\u2019 properties X-Value for free today. Being on the cutting-edge of knowing a property\u2019s potential value might just give you the advantage you need to satisfy a client\u2019s request and seal that all-important deal.<\/p>\n","protected":false},"excerpt":{"rendered":"

    As an agent, do you often find it difficult to track the value of your client\u2019s homes? Perhaps sometimes, you feel it\u2019s a hassle to always put your clients on hold so you can refer to past transaction records. 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