TwentyEA has launched an AI tool, SellScore, that assigns percentage scores to properties indicating how likely they are to sell.

According to Katy Billany (pictured), executive director at the specialist property data company, the new technology is designed to help agents prioritise vendor enquiries with the highest likelihood of completion, tailor their pricing strategies, reduce marketing spend on properties that are unlikely to sell and improve CRM efficiency through lead scoring.

We’re incredibly excited about the potential of SellScore.”

She says: “We’re incredibly excited about the potential of SellScore to help agents prioritise their resources for the properties where it matters most.”

After 12 months of testing against real market outcomes, TwentyEA claims that SellScore correctly predicted 86% of all property sales within the top 30% of properties it flagged as most likely to sell.

Built on data and powered by AI, SellScore assesses thousands of metrics, including property-specific data points such as potential risk factors and market activity specific to each location, such as supply and demand ratios and the likelihood of fall-throughs.

There are, the company says, more than 3.2 million UK residential properties in the top 10% most likely to sell if they came to market over the next year.

Data-driven advantage

As Billany explains: “When combined with our Forecast tool, agents gain an even more powerful, data-driven advantage to their marketing campaigns, by knowing exactly when the properties most likely to sell will likely come to market.”

The Forecast tool predicts which properties will come to market within the next two months. By putting the two datasets together, agents can access just 280,168 properties across the UK that feature in the top 10% for both products.

Billany adds: “With only around 55% of listed properties actually selling, the ‘no sale, no fee’ model significantly impacts an agency’s bottom line but with the power of SellScore, agents can decide which fee model is best suited to the listing – upfront, pay on completion or somewhere in between.

And she concludes: “SellScore delivers clear, actionable insights which will help agents to explore new fee models and vastly increase their average income per listing. We’ve built this model using detailed historical data from the past four years, which draws on highly granular insights.”

SellScore is available via an online platform, API or secure FTP data transfer and will be launched at the Kerfuffle conference on July 10.