The Multifamily Data Download
News, tips, and updates from ApartmentIQ
Why You Need Explainable AI in Revenue Management
For decades, legacy multifamily revenue management platforms have made rent recommendations behind secret algorithms with no explanation for pricing decisions. As a result, revenue, operations, and asset teams waste time trying to reverse-engineer the recommendations and struggle to explain decisions to leadership.
The Hidden Impact of Disconnected Data on Multifamily Growth
In multifamily real estate, different teams often track different numbers. Acquisitions might look at comps, operations checks turnover, marketing watches clicks, and property management tracks occupancy. All valid. But when each team sticks to its own version of...
Pegasus Accelerates Market and Property Research Using Explore
From weeks of manual research to same-day insights, Pegasus delivers smarter acquisition strategies.
Exposed %, Leased %, or Pre-leased %? The Multifamily Metric Debate, Settled
Ask five multifamily professionals which leasing metric matters most, and you’ll get five different answers. Asset managers swear by exposure percentage for forecasting, while marketing directors track leased percentage for campaign performance. Meanwhile, property managers rely on the pre-leased percentage for planning operations and strategy going forward.
How Pegasus Residential Turned Market Surveys into a Strategic Advantage
From call-arounds and spreadsheets to real-time accuracy, Pegasus turned market surveys into a strategic advantage, and saved tons of time.
Why 2026 Budget Planning Can’t Rely on Internal Data Alone
Multifamily teams are under pressure to deliver budgets that hold up in boardrooms, across investor reviews, and during vendor negotiations. But if you're still planning based on internal performance data and spreadsheets, you're already behind.
How to Create the Perfect Multifamily Comp Report
Executive Summary Multifamily rent comparables drive strategic decisions beyond unit pricing. They also inform decisions around asset valuation, acquisitions, marketing, and leasing. When organized in a reportable format, this comp data is known as a multifamily...
How to Source Accurate Multifamily Market Data: 7 Best Sources
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...
The 3 Reports Multifamily Leaders Rely On in ApartmentIQ – and Why They Matter
Multifamily leaders of revenue, operations, and asset teams need to be data-driven and focused on moving as quickly as local markets move. Empowering teams with the correct data is critical, especially when it comes to market surveys and unit-level performance, at...
Behind the Numbers: What Net Effective Rent Tells Us About Leasing Performance
On paper, asking rents in many metros are holding steady, or even climbing. But when you factor in concessions, the real picture starts to shift. In 2025, net effective rent (NER) has become the more honest metric for performance, and ignoring it can skew your...
What Actually Works: Top Concessions in 2025 and How to Use Them
Not all concessions deliver the same impact. While “one month free” may dominate the landscape, ApartmentIQ’s Q1 2025 data shows that operators are experimenting with a broader mix of incentives—from creative lease perks to one-time bonuses. In a softening market...
Concessions Are Back: What Q1 2025 Data Tells Us About the Multifamily Market
Rental concessions are no longer a niche tool, they’ve become a key part of leasing strategy across asset classes. As of Q1 2025, nearly one in four units in some metros is advertised with a discount, and the average concession hovers around one month of free rent....
Case Study: Income Property Specialists (IPS) Reclaims 25+ Hours a Week and Unlocks Data-Driven Pricing with ApartmentIQ
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...