For multifamily teams, a new year usually means renewed focus on leasing goals and property performance. While many teams have brought AI into the conversation, many operators haven’t yet tapped into its full potential.
ApartmentIQ’s forecasting methodology is designed to give your portfolio a competitive edge. Learn how our rent forecasts are built in Explore Pro, what data they're trained on, and how we keep them accurate as markets change.
In 2025, multifamily operators faced a new wave of regulations targeting how pricing decisions are made — particularly those relying on private competitor data. Cities such as San Francisco, Minneapolis, San Diego, and Philadelphia enacted or advanced restrictions on algorithmic pricing models tied to non-public data. The implications were significant: transparency wasn’t just preferred, it became expected.
Acquiring accurate multifamily market data from reliable sources is a critical function for many property management duties, from pricing and operations to budgeting and beyond. But you can’t source data from just anywhere. Many websites and tools claim to offer...
Snapshot BEFORE: Manual or single-person market surveys (25–30 staff hrs/week), inconsistent comp data, liability risk from private-data tools, slow pricing decisions AFTER: 100% automated, public-data feeds (zero hours of manual calls), portfolio-wide...
In our latest panel discussion, industry leaders explored the role of data in multifamily real estate and the major trends shaping 2025. If you missed it, the full recording is now available. State of Data in Multifamily: 2025 Trends and Insights From AI-driven...