Redfin and Zillow take Texas
As direct-to-consumer home buying and selling platforms continue to rise, Zillow and Redfin are taking their iBuyer platforms to Texas. Continue reading
As direct-to-consumer home buying and selling platforms continue to rise, Zillow and Redfin are taking their iBuyer platforms to Texas. Continue reading
Yelp has made it extremely difficult for people to find reviews for Opendoor and Offerpad, two of the country’s leading online homebuyers and resellers. Continue reading
Amazon is already dabbling in real estate and has hinted it may have bigger plans, but this week one analyst floated a way the company could take the plunge and become a major force in the sector: Buy online brokerage Redfin. Continue reading
The comparative market analysis (CMA) is one of the quintessential tools in an agent’s advertising tool box — it’s practically the entire reason homeowners even let us walk through their front doors. Here are four steps for creating a CMA for the moder… Continue reading
In December, home prices grew at their slowest pace since 2012, according to a CoreLogic Home Price Index and Forecast report released Tuesday. Continue reading
Given how many tech-focused real estate companies are launching and debuting new features and business models, agents on the ground don’t need to worry about innovating themselves, right? Wrong. Continue reading
In Phoenix and Las Vegas, Zillow appears to have tested the prioritization of its own listings above others on its website, according to an analysis by Inman. Continue reading
Team ChaNJestimate was announced Wednesday as the winner of the $1 million Zillow Zestimate challenge, with an algorithm that beat the company’s own baseline by 13 percent. With the algorithm, Zillow expects its Zestimate error rate to fall from 4.5 pe… Continue reading
As a real estate agent in a turning market, what do you need to know to put your success first? Joe Rand and Katie Kossev go through their top 10 onstage at Inman Connect New York. Continue reading
EXP Realty’s Scott Petronis went on to argue that machine learning — a kind of subset of AI that involves training computers to perform specific tasks — could soon be able to build listings out of photos. Continue reading