What is the biggest risk in multifamily acquisitions?

The biggest risk in any multifamily acquisition is bad data. Most acquisitions are underwritten on data that's already wrong. Survey-based market data, scraped listing comps, and broker-provided numbers reflect what properties are marketing or reporting, not what they're actually achieving.

How does RevRE help with market screening?

RevRE delivers live submarket benchmarks including rents, occupancy, expense ratios, and NOI performance across 25+ U.S. markets so acquisition teams can quickly identify where supply/demand dynamics, rent growth trajectories, and expense trends favor new investment.

What data does RevRE provide for deal underwriting?

RevRE provides live benchmarks including comp sets with rents and occupancy from actual PMS performance, 1M+ GL categories mapped for expense benchmarks, and staffing ratios by submarket to benchmark management cost assumptions.

How many units and markets does RevRE track?

RevRE tracks live operational data from 500,000+ units across 25+ U.S. markets, providing city to submarket granularity for accurate benchmarking.

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Acquisitions & Asset Management

Asset manage better.
Invest with more confidence.

Investment committees trust underwriting that reflects how your assets perform in the real world. And they want to make buy decisions not wholly dependent upon sales broker marketing packages. RevRE connects your own portfolio data with curated comp sets and market benchmarks so every investment memo is grounded in operational reality, from weekly asset management updates, to quarterly investor updates and IC approval. Data you can trust to provide greater visibility, insight, and transparency.

See how it works

For Acquisitions teams → Investment managers → PropTech platforms

Suburban residential apartment buildings

Modern urban multifamily apartment building

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3× Faster deal screening with live benchmarks

The problem

Ownership teams have relied on asking around for too long.

Real estate is an industry of relationships, it’s true. But that doesn’t make the data shared by colleagues fact. Few industries are as dependent as real estate upon anecdotal data as real estate. Multi-million dollar trades are made based upon sales data given by local brokers. Rent comps are accessed from managers calling across the street for rent surveys. And expense information is accessed from borrowers submitted quarterly filings to agency lenders. Even source property management system data is questionable due to different definitions, timing, sources, and structure.

Revolution RE presents a different way for underwriting precision. Your own property data, local comps, and market data, together – the full picture.

3×

The Full Picture Your portfolio, property comps, and market composites – the context needed for accuracy and visibility.

40 hrs

Avg Time Saved For every four FTE actively working on the platform, you save one additional add to headcount.

90%

Workers increased productivity A Harvard Business Review study showed 90% of workers felt more productive when their tasks were automated.

How it works

Data built for every stage of the asset lifecycle.

From initial market screening to investment committee, asset management and disposition — RevRE gives teams the intelligence needed at every step along the way.

Step 01 — Market Screening

Market screening

Know which markets fit your strategy before chasing individual deals.

Before you commit resources to a specific asset, RevRE helps you quickly see how target submarkets behave: rent levels, occupancy stability, and operating intensity. Use your existing holdings plus submarket benchmarks to decide where the risk/return profile actually matches your mandate.

Market rent and occupancy trends, not just metro averages

Expense and NOI bands to sanity-check target yield ranges

Side-by-side view of target markets against your current footprint

See Data Licensing

Step 02 — Deal Underwriting

Deal underwriting

Underwrite against how comparable assets actually perform.

When it is time to underwrite a specific deal, RevRE lets you line up the pro forma against both your portfolio and relevant comps. Validate rent, lease-up, expense, and staffing assumptions with data from assets that look and operate like the one you are buying — so your base case and sensitivities are traceable back to reality.

Rent and occupancy comps from actual performance, not surveys

Expense and NOI profiles calibrated to similar assets and markets

Staffing and operational intensity benchmarks to back payroll assumptions

See Data Licensing

Apartment community courtyard and landscaping

Step 03 — Portfolio Fit

Portfolio fit analysis

See exactly where a new acquisition sits inside your existing portfolio.

Before you close, understand how a new asset will affect your overall portfolio. RevRE lets you compare the target’s projected KPIs against your current holdings in the same market and strategy — so you can quantify diversification, concentration, and operational upside or drag in a single view.

Compare projected NOI and expense ratios to current assets

Identify markets, vintages, or strategies that become over- or under-weight

Highlight operational playbooks you have already proven on similar assets

See the BI Tool

Step 04 — IC Presentation

Investment committee

Walk into IC with memos that are anchored in operating reality.

RevRE makes it easy to support every line of your investment memo with traceable data — from your own portfolio, to comp sets, to submarket context. IC members can see exactly how each assumption compares to actual performance, which shortens debate and focuses the discussion on strategy instead of inputs.

Assumptions clearly tied to portfolio, comp, or benchmark sources, not anecdotal data or broker assumptions

One-click exports into your investment memos and internal models

Shared, consistent definitions across acquisitions, asset management, and finance

What you get access to

The data your acquisition team actually needs.

RevRE delivers the specific KPIs that drive investment decisions — sourced from real operational performance, normalized for cross-market comparison, and delivered however your team uses data.

Wide-angle multifamily residential apartment complex

Comps & Benchmarks

20+ U.S. markets.

Address-level rents and metro market composites. Averages are adjustable by vintage, unit size, and unit count.

Revenue and Expense Benchmarks

Not just rents, concession trends, vacancy trends and other revenue per unit. Operating expenses broken out into unprecedented granularity, comparable to your financials and in your format, to give true apples-to-apples relevance and see where opportunities and risks lie.

Effective rents Concessions Revenue / unit By unit type

Source Comps

Owner contributed rent data, sourced from compliant public ILS information.

OpEx by category NOI margin 1M+ GL mapped Maintenance

Apartment building entrance and leasing office

Occupancy data

Multifamily apartment community exterior

Staffing benchmarks

Apartment complex exterior at golden hour

NOI comparables

Who uses RevRE for acquisitions

Built for every team that evaluates multifamily deals.

Whether you're a value-add buyer, a long-term hold investor, or a PropTech platform building analytics products, RevRE delivers the data layer your work depends on.

Older apartment building suitable for value-add renovation

Value-add and repositioning investors

Value-add buyers & repositioning investors

Identify deals where current performance lags what similar assets and your own portfolio are already achieving. Quantify rent and expense upside using comp and market data, then show IC how your operating plan bridges the gap.

Quantify upside vs. live market benchmarks

Validate rent premium assumptions with real comp data

Benchmark expense reduction targets against peers

Data Licensing BI Tool

Modern Class A high-rise apartment building

Core / core-plus investors

Core & core-plus investment managers

Stress-test yield and downside scenarios against how stable assets in the same market behave. Validate that your base case is consistent with long-run performance, not just recent marketing or survey snapshots.

Validate NOI assumptions with live market data

Benchmark occupancy and retention against peers

Present IC-ready analysis backed by operational data

Data Licensing

Contemporary modern apartment building for PropTech platforms

PropTech companies & analytics teams

Use the same structured data layer to power underwriting tools and internal analytics — with a clear hierarchy from portfolio data, to comps, to market aggregates. Connect via API straight into your existing models and workflows.

API-ready benchmarks for underwriting models

LLM-compatible structured data for AI tools

Continuously refreshed — no stale batch exports

Data Licensing ETL

Asset manage better. Invest with more confidence.