With 2 million transaction records ingested every quarter, Realogy has a stark advantage over its competitors in the form of a robust data trove it uses to sharpen agent recruiting, company CEO Ryan Schneider said during a presentation Wednesday in New York City.

An algorithm that identifies agents who work independently of managers. Another that determines which agents are most likely to use co-listings. And a team of data scientists capable of culling information to parse the most appealing characteristics of a high-performing agent.

With 2 million transaction records ingested every quarter, Realogy, the largest real estate holding company in the United States, has a stark advantage over its competitors in the form of a robust data trove it uses to sharpen agent recruiting nationwide, company CEO Ryan Schneider said during a presentation Wednesday in New York City.

“We built a machine learning model that matches their characteristics to our characteristics,” Schneider said of algorithms his company deploys to match the compatibility of potential hires with Realogy’s unique corporate culture. “It’s all about  trying to predict who’s going to be able to drive the most incremental productivity in the future.”

Because of its national scale, Realogy has brokerages and agents operating in every multiple listing service in the country, and over the past year it has leveraged data from those platforms to create a machine learning algorithm to drive recruiting, Schneider revealed during a presentation at the Evercore ISI Industrials/Housing & Building Products/Airlines Conference on Wednesday.

Realogy’s algorithm isn’t necessarily designed to find top-producing agents, or what Schneider calls “the whale,” because those professionals are easily identifiable in each market. It’s more aligned to identify agents who will grow comfortably in Realogy’s environment.

The high-tech strategy is reminiscent of the 2011 Brad Pitt film “Moneyball,” based on the book by Michael Lewis about the unconventional recruiting methods of Oakland A’s General Manager Billy Beane, who’s analytical, evidence-based approach led the baseball team to the playoffs in 2002.

“We take about 75,000 of the top people and put that out to local managers every quarter to really let them use that to prioritize their agent recruiting,” Schneider said. “It effectively helps them spend their resources.”

As Realogy ingests more data, the algorithm strengthens. Meanwhile, Realogy’s data science team has discovered that, out of the 10 most important characteristics identified, five are Realogy-specific, which Schneider believes hands them a competitive advantage.

Schneider gave two examples of that Realogy-specific analysis: The algorithm identified that agents who work autonomously may not be a good fit for Realogy, a company that operates in an environment with dedicated managers. Agents who are more inclined to do co-listings are more likely to succeed at Realogy than the average agent, the algorithm found.

Schneider has been with Realogy for slightly more than a year, coming over from Capital One prior to working in real estate. He said one of the things that surprised him in his first year was how little technology and data disruption there has been in the industry.

“This whole industry has a lot of opportunity to use technology and data better,” Schneider said. “I believe we’ve got the scale and the data assets to be the leader in driving that change.”

“I personally haven’t seen very much change at all in what the consumer and the agent experience have been in the last few years,” Schneider added.

Email Patrick Kearns

Show Comments Hide Comments
Sign up for Inman’s Morning Headlines
What you need to know to start your day with all the latest industry developments
By submitting your email address, you agree to receive marketing emails from Inman.
Thank you for subscribing to Morning Headlines.
Back to top
Only 3 days left to register for Inman Connect Las Vegas before prices go up! Don't miss the premier event for real estate pros.Register Now ×
Limited Time Offer: Get 1 year of Inman Select for $199SUBSCRIBE×
Log in
If you created your account with Google or Facebook
Don't have an account?
Forgot your password?
No Problem

Simply enter the email address you used to create your account and click "Reset Password". You will receive additional instructions via email.

Forgot your username? If so please contact customer support at (510) 658-9252

Password Reset Confirmation

Password Reset Instructions have been sent to

Subscribe to The Weekender
Get the week's leading headlines delivered straight to your inbox.
Top headlines from around the real estate industry. Breaking news as it happens.
15 stories covering tech, special reports, video and opinion.
Unique features from hacker profiles to portal watch and video interviews.
Unique features from hacker profiles to portal watch and video interviews.
It looks like you’re already a Select Member!
To subscribe to exclusive newsletters, visit your email preferences in the account settings.
Up-to-the-minute news and interviews in your inbox, ticket discounts for Inman events and more
1-Step CheckoutPay with a credit card
By continuing, you agree to Inman’s Terms of Use and Privacy Policy.

You will be charged . Your subscription will automatically renew for on . For more details on our payment terms and how to cancel, click here.

Interested in a group subscription?
Finish setting up your subscription