Orange County, Calif. – January 20, 2021 – SOLD.com, the first-of-its-kind educational resource and proprietary recommendation engine for homeowners researching and evaluating the many ways to sell a home, reported today that its data systems are achieving success for its customers at unprecedented levels.
SOLD.com is a free and unbiased service that allows consumers to compare dozens of home buying and selling options to determine the approach that best helps them to achieve their objectives – whether it’s saving time or getting the best price.
“Historically when it came to selling a home, a key decision for the homeowner was hiring the best real estate agent to assist them,” said Matt Woods, President of SOLD.com. “The first challenge with that is that it’s not been easy to determine which agent has a proven track record for maximizing success to the homeowner. That information has not been readily accessible for broad public consumption.”
SOLD.com set out to create a marketplace that matched homeowners with the best real estate agents utilizing actual performance data. But SOLD.com’s service doesn’t stop there. There is now a new complexity for homeowners to consider. In many markets throughout the country, the real estate industry is experiencing a significant transformation. New companies have emerged that offer alternative approaches to the standard realtor model, each with claims of saving time, money, stress, and more. These include companies that; will pay cash for homes, will list and sell homes for a reduced commission or flat fee, will facilitate trading in one’s old home for a new one, or will even pay cash for one’s home and immediately rent it back to the home seller. SOLD.com’s network allows home sellers to explore these alternative models as well.
“At SOLD.com, we’re committed to arming consumers with an understanding of all the options available and serving as a partner from beginning to end, from providing a free analytics-driven recommendation at the onset to employing our concierge team to serve as a resource throughout the process,” said Woods.
SOLD.com’s recommendation engine is powered by machine learning that considers thousands of data points for individual properties, local markets and buyer and seller preferences. Users are asked a few simple questions about their home and their top objectives during the selling process. SOLD.com’s proprietary technology then evaluates the top local real estate agents, institutional buyers, discount agent models and more to match buyers with the option that will best help them achieve their goals.
For more information, please visit https://www.SOLD.com/.