Revenue Management & Asset Optimization Beta

Analyze Comps. Optimize Rents.
Grow NOI.

We use AI to identify the most similar rent & expense comps for any size apartment building, then we analyze them every day to recommend pricing, value-adds and operational improvements that will maximize your NOI.

  • Automated Rent Comps & Daily Data Updates
  • Clear, Intuitive Pricing Recommendations
  • Detailed Expense Benchmarks
  • Portfolio Level Risk Analysis
  • No Property Management Software Integration Required

If you own or manage multifamily assets with under 100 units, existing revenue management systems have let you down... but your days of scouring rental listings and calling property managers for pricing are almost over!

You can download an overview of the platform here, or sign up for the initial release below:

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City with callouts for underpriced studio apartments, recently renovated units, high opex ratio and oversupply of 2BR units
Tables showing comparable property data including street address, year built, number of units and a grid of property photos with extracted data on quality and condition
Automatically analyze comps & survey market rents.

Instantly Analyze the Most Statistically Similar Comps in Any Market

Residents decide which showings to schedule primarily based on location, price, and listing photos. That's why we built computer vision algorithms to analyze the condition, quality and attributes of comps based on property photos and Google Street views.

We take account the physical attributes of properties, such as location, year built, number of units, and unit mix, but we also extract valuable data from property imagery and floorplans to help find the most relevant comps in any market.

With Hello Data, you can analyze your true competitors every day and get detailed data for any size multifamily asset (2+ units), right in your inbox.

Learn MoreTry our Rent Survey Tool
Reduce costs without sacrificing resident experience.

Unlock Operational Efficiencies with Detailed Expense Benchmarks

Operating expense data is hard to come buy, and making sure expense benchmarks come from truly comparable assets is even harder. We standardize operational and financial performance data from over 25,000 multifamily properties across the U.S. to help you identify areas for improvement across your portfolio.

Our expense benchmarks are backed by our comparable property detection algorithm, which analyzes distance, number of units, year built and property condition (derived from listing photos and street views) to ensure true comparability.

Our asset management software helps you compare your operations to statistically similar properties in any market to unlock real operational efficiencies for your portfolio.

Coming Soon: Learn More!
Table showing expense comps analysis with comments describing how to reduce insurance costs, improve resident satisfaction and raise noi
Revenue management pricing recommendations showing recommended rents by floorplan
Transparent revenue management for any size property.

Understand the "why" Behind Every Pricing Recommendation

Asset managers need to continually monitor competitor pricing and positioning to understand how to win, and complicated black box algorithms don't help. Good products are simple and intuitive... you shouldn't have to pay a data scientist to help you understand your revenue management software!

HelloData.ai gives you the why behind each pricing recommendation in plain English, so you don't need to pay a pricing & revenue management "expert" to help translate.

If you want clear, actionable recommendations to grow NOI, and you don't want to pay for an asset manager, a pricing consultant, a bunch of hefty implementation fees and weeks of training - we are building this platform for you.

Coming Soon: Learn More!
No more black box pricing models.

Test Pricing Strategies and See the Impact on NOI

Pricing recommendations shouldn't be "take it or leave it", and they should give you the flexibility to test scenarios and measure results. HelloData shows how different pricing levels will impact occupancy and time on market for each floorplan, giving you greater control over your pricing strategy.

Our system uses AI to identify the most comparable floorplans across every property in your market, then analyzes every competing listing to recommend rent pricing that will minimize vacancy loss, maximize rent, and boost NOI.

Whether you're trying to maximize revenue & profits or analyze a potential value-add deal, our software gives you the flexibility and insight to craft the perfect business plan for your asset.

Coming Soon: Learn More!
Sensitivity analysis showing predicted rents and the impact on NOI if rents are increased or decreased from the recommendations. Also shows a floorplan comps table with average rents for each floorplan type.
Asset optimization at the real estate portfolio level, calling out an underspend on ads for the arbors of willow creek and recommending an increase in ad spend
Transparent revenue management for any size property.

Identify Opportunities & Assess Risks Across your Real Estate Portfolio

Whether you're a real estate investor, property manager, asset manager or lender, you need to understand the potential risks and opportunities for improvement across your portfolio. But with most data sources, by the time you get the data, it's already too late to act on it.

HelloData is building an AI-driven asset management platform that surveys the market every day to identify the unique strengths, weaknesses, opportunities and threats for every asset in your portfolio. We provide actionable insights to help boost performance and mitigate risks before they impact NOI.

If you want to stay ahead of the curve and proactively address issues in your real estate or loan portfolio, let's chat!

Coming Soon: Learn More!
Best of all... it's painless to get started.

No Property Management Software Integration Required

  • No Buildium, Yardi, Appfolio, etc. integration needed
  • No implementation fees or downtime
  • No time-consuming training
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Diagram showing how the hello data revenue management system works

FAQs

How is your rent calculator different from Rentometer and Zillow Rental Manager?
Where do you get your data?
How does HelloData address concerns about changing prices and presentation to prospects?
How do you compare to other pricing systems like AIRM, Rainmaker LRO, YieldStar, and Yardi RentMaximizer?
Can your rent pricing recommendations help avoid fair housing violations based on pricing?
How do you manage the price volatility experienced in other revenue management systems?
How does your revenue management system affect the resident's experience, especially during lease renewals?
How is HelloData different from Red IQ, Blooma and Skyline.ai?