Markerr, a provider of data and AI for real estate, has launched RealRent Comps, a product delivering unique insight into rental markets for investors, owners, operators and property managers. Integrated within Markerr Data Studio, RealRent Comps provides unprecedented coverage, timeliness and granularity to comps analysis, setting new standards for investment and operational decision-making in the industry, the company said. Markerr clients are leveraging RealRent Comps to power a range of decisions across the asset life cycle including pricing, asset management, rent optimization and acquisitions and underwriting.
RealRent Comps, accessible via Markerr Data Studio, provides advanced search and analytical capabilities and utilizes Markerr’s broad data network to enhance its proprietary comps algorithm. This algorithm leverages machine learning to analyze key property and unit attributes, enabling clients to quickly identify and rank competitive properties. By integrating comprehensive, daily updated data at the floor plan level, users can make informed pricing decisions and evaluate investment potential with greater accuracy and insight.
“Implementing Markerr’s data has allowed us to build out proprietary analytics and insight to make data driven decisions at granular levels,” said Charlie Garner, principal, Fulton Peak Capital LLC. “We are excited to expand our relationship with Markerr with the addition of RealRent Comps, which will further enhance our real-time and innovative decision making.”
RealRent Comps provides clients with critical insight into rent trends, comps, pricing and concessions while mitigating risk from private data shared via “give and get” data aggregation models.
By integrating data from diverse sources including marketplaces, aggregators, originators, community websites and authoritative government datasets, Markerr ensures RealRent data is complete, accurate and timely. The data, ranging from asking rental rates by floorplan to detailed property features, unit mix, concessions and availability, underpins RealRent’s ability to offer real estate professionals, investors and analysts a multifaceted view of the rental landscape.
“Markerr RealRent Comps is steering pivotal decisions among top real estate industry leaders,” said Andrew Jenkins, chief product officer at Markerr. “The integration of AI with our publicly-sourced rental data empowers our client with critical rental insights that dramatically improve strategic decision-making while mitigating risk.”
