Markerr Announces the Launch of RealRent Comps for Multi-Family and Single-Family Rental Properties

RealRent Comps, accessible through Markerr Data Studio, not only provides advanced search and analytics capabilities, but also uses Markerr’s extensive data network to enhance our proprietary comps algorithm. This algorithm leverages machine learning to analyze key attributes of properties and units, allowing clients to quickly identify and rank competing properties. By integrating comprehensive, daily updated data at the floor plan level, users can make informed pricing decisions and assess investment potential with greater precision and insight.

“Implementing Markerr data has allowed us to develop proprietary analytics and insights to make data-driven decisions at granular levels,” said Charlie Garner, Director, Fulton Peak Capital LLC. “We are excited to expand our relationship with Markerr with the addition of RealRent Comps, which will further enhance our innovative real-time decision making.”

The introduction of RealRent Comps comes at a time when much of the industry is moving away from aggregate rental data sources through private data sharing and call centers. RealRent Comps provides customers with essential insight into rent, compensation, pricing and concession trends while mitigating risks related to private data shared through “give and take” data aggregation models.

In creating the RealRent dataset, Markerr has developed a sophisticated and comprehensive approach to public data aggregation. By integrating data from a variety of sources, including marketplaces, aggregators, creators, community websites, and authoritative government datasets, Markerr ensures that RealRent data is complete, accurate, and timely. This rich mix of data, ranging from rental rates requested by plan to detailed property features, unit mix, concessions and availability, supports RealRent’s ability to offer real estate professionals, investors and analysts a multifaceted view of the rental landscape.

Andrew Jenkins, chief product officer at Markerr, highlighted the company’s commitment to integrating advanced data science with practical real estate business applications. “Markerr RealRent Comps drives critical decisions among the top leaders in the real estate industry. Integrating AI with our publicly sourced rental data gives our client critical rental insights that significantly improve strategic decision-making while mitigating risk. Jenkins noted.

Markerr RealRent Comps is immediately available to customers.

About Marker:
Markerr is at the forefront of the real estate industry, providing innovative data products that enable investors to thrive in multifamily real estate investments. Leveraging real-time data, advanced machine learning and generative AI, Markerr enables customers to gain a competitive advantage and make safer, more effective decisions. Trusted by leading institutional real estate owners and operators around the world, Markerr is backed by leading investors including RET Ventures, Pretium and Bridge Investment Group. Visit www.markerr.com for more details.

SOURCE Marker