​ Why Agents Should Use Big Data And Predictive Analytics

June 7, 2017 by Skylar Vincent in Articles 

As the leader in predictive analytics and marketing in real estate, SmartZip is often asked how and why agents and brokers would use algorithmic predictions to help find listings to build their businesses.

Good question.

The National Association of REALTORS states that 72 percent of sellers will list with the first agent they speak with, not necessarily with the most experienced agent. Therefore, Big data and predictive analytics allow agents to focus their time and energy on those most likely to list.

Before big data and predictive analytics were introduced to the real estate market, agents may have attempted to produce similar results by assigning scores to people in their territories, including their spheres.


Predictive lead scoring

As an example, they might assign individuals a score of 1-5, depending on their knowledge of individual prospects and their intention to sell within a predictable period. The reality is that human beings are extraordinarily complex, and their buying and selling behavior is usually the result of hundreds of converging factors. To truly uncover predictions of human behavior, you need to analyze thousands of data points to reveal the multitude of patterns that lead to transactions. Attempting to complete this process and predict listing opportunity at a human’s pace is daunting at best.

There is a solution. Big data and predictive analytics consider thousands of data points providing in-depth information on the people living in the home, the history of the home itself, and the history of the market in which the home resides. Data in these areas are analyzed to identify who may be signaling a near-future selling date.

We all know the 80/20 rule. Eighty percent of yield comes from 20 percent of a farm. An agent’s goal is to find the top 20 percent in their market. The reason agents mass farm a territory is because they are trying to find the top 20 percent. This is where big data and predictive analytics come into play.

An agent’s goal is to find the top 20 percent in their market.

Let’s take the Joneses, for example. Perhaps over the past 20 years, they move on average every five years and today has been four-and-a-half since their last move. That’s interesting. But what if they also have two children who are about a year or less away from college? That’s interesting too. Now consider that the Joneses’ income history puts them in a category of homeowners who typically sell in year seven and its now year six. Here, we see that three different attributes align. History of migration patterns, children and income. Those are just three attributes that line up. However, when you stack several hundred of them on top of each other, you no longer have a coincidence. You have statistical relevance.

This technology is all around us. A FICO score is simply a prediction of our likelihood to make loan payments on time. The department store Target made headlines when they showed they can predict accurately, using big data and predictive analytics, which of their customers are pregnant. Now, instead of telling everyone about their new baby products (mass farming), they just focus on this subset of customers (smart farming). This technology is not new; its usage is just new to those in the real estate industry.


Large Data

Companies use these predictions to determine factors such as whom to contact, as well as when and why. Now real estate agents can too. Traditionally, farming is arduous and costly. Big data and predictive analytics will identify an agent’s top 20 percent, eliminating the 80 percent that often prove to be wasted time, effort and marketing (think of all the mail that goes unopened or thrown away by the bottom 80 percent who have no intention of listing).

Of all the tools and technology now available to real estate agents for prospecting, big data and predictive analytics are the most robust. Nothing else currently matches these abilities at allowing agents to hyper-focus their time and energy on the right prospects.


Reach out today to see what other agents are saying about SmartTargeting. While you're there sign up to get a look at seller predictions in your sphere or local market area — no pressure, and no obligation.

comments powered by Disqus

Back to all posts

Recent posts

Finish 2017 strong!

July 30, 2017 by Judy McHargue

While our strong summer market continues to keep agents busy across...

3 clear-as-day signs it’s time to hire an inside sales agent

July 19, 2017 by Joan Dailey

If you’ve read Chris Smith’s The Conversion Code, you may already...

The Home of the Brave: 9 Amazing Facts About Real Estate in America

July 4, 2017 by Judy McHargue

On this Independence Day, we hope you are celebrating the land of the...

Check listing predictions in your territory

Get started