{"id":625,"date":"2024-07-18T15:16:01","date_gmt":"2024-07-18T15:16:01","guid":{"rendered":"https:\/\/ferraro-zugibe.com\/?p=625"},"modified":"2024-08-15T11:29:28","modified_gmt":"2024-08-15T11:29:28","slug":"predictive-analytics-in-real-estate-best-practices-software-for-agents","status":"publish","type":"post","link":"https:\/\/ferraro-zugibe.com\/index.php\/2024\/07\/18\/predictive-analytics-in-real-estate-best-practices-software-for-agents\/","title":{"rendered":"Predictive Analytics in Real Estate: Best Practices & Software for Agents"},"content":{"rendered":"

Imagine knowing exactly which homeowners in your area will sell their property in the next 12 months. It used to take a mind reader (or a lot of luck) to get that kind of inside intel on your local real estate market, but now it’s achievable with big data and the right predictive analytics company. <\/p>\n

You need to embrace this technology and use it to help more clients (and help your pockets grow, too)! I will break down what predictive analytics in real estate are, how you can use them, their benefits, and which real estate analytics software you can use to boost your business. Here we go! <\/p>\n

What Is Predictive Analytics in Real Estate?<\/h2>\n

Predictive analysis is a technique that uses data, statistical algorithms, and machine learning to identify the likelihood of future outcomes based on historical data. It involves analyzing current and past information to predict future events. <\/p>\n

In real estate, predictive analysis can help agents forecast market trends, identify potential buyers and sellers, set competitive prices, and make strategic business decisions. These real estate analytics companies pull together millions (if not billions) of data points from multiple sources to give you important insights. <\/p>\n

Common data sources include the following:<\/p>\n