Tracking absorption rates has always been a primary objective in the apartment world. That mission was no different for Leon Capital Group’s multifamily branch, but Director of Multifamily Operations Crystal Martin believed there had to be a more intuitive way.

“Back in the old-school days it started with utilizing an Excel color-coded document,” Martin said. “Then it became a heat map that you put together manually, but there wasn’t ever a great solution to determine what particular unit types were leasing faster.”

Maximizing revenue and properly pricing slow-selling homes

Martin and her team wanted cutting-edge insights as to why certain homes might lease quicker and others a bit more gradually. While factors such as stellar views were typically apparent enough, it was often smaller nuances that made a significant difference for renters. Operations teams needed these types of advanced data insights to maximize revenue and properly price slow-selling homes.

As one who regularly monitors the steady emergence of tech in the multifamily sector, Martin knew that an innovative solution had to be available. It was just a matter of finding the correct fit.

Read Full Case Study Here

In this case study:

How to see when property pricing is leaving money on the table

How adopting Engrain’s SightMap Asset Intelligence solution benefits operations directors

How to boost NOI with insights into property performance data