Know exactly where your portfolio stands against the market

Benchmark every asset against a comparison set built from 17M+ listings and 25,000+ property managers, not a handful of manually-pulled comps.

Unit-level • Never scraped • Built for portfolio-scale comparison

Trusted by Leading Brands

Mynd
Builders Capital
Lafayette RE Management
Moody's
First American
Mainstay
University of Wisconsin
University of British Columbia
Privy
Crexi
Fyxed
HouseCanary
Local Logic
Champaign County
Pargo AI

You can’t benchmark against a number you can’t trust

Same data, every asset

Unit-levelConsistent methodologyPortfolio-wide

Every property in a portfolio gets benchmarked against the same underlying, unit-level dataset — no blending scraped comps for one market with survey data for another.

Track performance over time

URULongitudinal trackingNo reconciliation overhead

The URU (Unique Rental Unit Identifier) follows specific units across time, so a portfolio’s performance against the market can be tracked longitudinally, not just as a single snapshot.

Scales with the portfolio

API IQTotal IQBuilt for scale

Whether benchmarking a handful of assets or a national portfolio, delivery via API or bulk feed keeps the comp set current as the portfolio grows.

What makes Dwellsy IQ’s benchmarking data different

Portfolio intelligence from where rents are actually set

Largest free rental marketplace30+ PMS connectionsFirst-party data

Dwellsy IQ’s data comes from Dwellsy, the largest free rental listing marketplace, connected directly to 30+ PMS — where rents, availability, and concessions are actually set.

Data quality without the pressure to maximize listings

Free marketplaceNo lead-selling modelReliability over volume

Unlike other rental data providers, our marketplace is free for renters and property managers. We do not make money from renter leads — we make money by delivering accurate data.

Market movement captured before it disappears into averages

Directly disclosedReal-time rent changesNo survey lag

Changes in asking rent appear as property managers update their inventory, giving portfolio teams a current view of market direction.

Five years of history for testing portfolio assumptions

January 2020 onwardDisruption and recoveryBacktest-ready

Coverage begins in January 2020, spanning pandemic-era disruption, rapid rent growth, and the subsequent market normalisation.

Portfolio comparisons built from individual units

Final asking rents50+ property fields250+ amenities

Total IQ provides final asking rents for individual units alongside 50+ attributes and 250+ tracked amenities.

Track performance over time, not just today

URULongitudinal trackingContinuously updated

The URU (Unique Rental Unit Identifier) follows the same units over time, so benchmarking isn’t a one-time snapshot, it’s a running comparison as both your portfolio and the market move.

How portfolio benchmarking teams use Dwellsy IQ

Owners & Operators

Portfolio-wide performance checks

Benchmark every managed or owned unit against real market comps at once, instead of spot-checking a handful of properties and assuming the rest follow.

Identifying underperforming assets

Flag specific properties renting below market so pricing or operational attention can go where it’s actually needed.

Reporting to ownership or investors

Back up portfolio performance claims with unit-level comps that hold up when an owner or LP asks how the number was calculated.

See how owners & operators use Dwellsy IQ

Institutional Investors

Post-acquisition performance tracking

Compare an acquired portfolio’s actual rent performance against market comps on an ongoing basis, not just at the point of purchase.

Cross-portfolio comparison

Benchmark multiple portfolios or funds against the same underlying dataset, so performance comparisons between assets are consistent, not skewed by different data sources.

Longitudinal portfolio tracking

Use the URU to track how a portfolio’s performance against the market has trended over time, not just where it stands today.

See how investors use Dwellsy IQ

Tech Platforms

Build benchmarking into your own product

License the same unit-level comp set powering Dwellsy IQ to build portfolio benchmarking or performance-reporting tools for your own customers.

Consistent methodology at any scale

Every portfolio your platform benchmarks runs against the same underlying dataset, so performance comparisons hold up whether a customer has five units or five thousand.

URU-backed longitudinal tracking, built in

Give your customers performance tracking over time, not just a snapshot, using the same permanent unit-level ID that powers Dwellsy IQ’s own benchmarking.

See how tech platforms use Dwellsy IQ

Dwellsy is one of the most accurate and reliable data comps tools we've used. As an investor, having clean, factual, and real-time comps is a game-changer. It helps us more efficiently and effectively do our work, and we love the product.

Liya Mo
Liya Mo
Principal of Acquisitions, Lafayette RE LLC
Liya Mo's company logo

See the data before you talk to anyone

Download our data dictionary and a sample dataset to see exactly what fields, coverage, and granularity you’d be working with.

Benchmark against real comps

Talk to our team about a data pull scoped to your portfolio’s geography and asset class.

FAQ

Can we benchmark a portfolio spread across multiple markets?

Yes. Every asset is measured against the same unit-level dataset regardless of geography, so comparisons across markets stay consistent.

How is this different from benchmarking against scraped or survey-based comps?

Scraped comps carry duplication and legal exposure, and survey data is aggregated and lagged. Dwellsy IQ comps are sourced directly from property management systems, so the benchmark reflects what units are actually renting for, not an estimate.

Can we track how our portfolio has performed against the market over time?

Yes. The URU (Unique Rental Unit Identifier) follows specific units across time, so benchmarking isn’t limited to a single snapshot.

Do you cover both single-family and multifamily portfolios?

Yes, both asset classes are covered in the same underlying dataset and can be benchmarked together or scoped separately.

Can we scope benchmarking to a specific geography or asset class?

Yes. Data can be scoped to a specific portfolio’s geography and asset class rather than delivered as a broad, unfiltered feed.

How current is the benchmarking data?

Data is captured directly from property management systems and updated continuously, not on a survey cycle, so a benchmark reflects current market conditions.

Do you sell renter PII along with benchmarking data?

No. All data is public, owner-disclosed listing information at the unit level. No PII, no private renter data.