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Real Estate Big Data

5 major ways AI is shifting the real estate scene and how to utilize it

(REAL ESTATE BIG DATA) Artificial intelligence is bringing a seismic shift to commercial real estate in everything from investing to sales to property management. Hold on!

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Woman working at desk with multiple desktops open to AI tools.

Forget about that location thing. Now real estate – especially commercial real estate – is about data, data, data. As in, Really. Big. Data. And AI is owed a large part of the credit for that.

A dizzying amount of data is being crunched and sorted and searched by artificial intelligence-enabled tools that are changing how deals get done and who will still have a job in the future.

The promise of AI to use data to predict the future is massive – and it promises to do that with more accuracy and efficiency, greater productivity, and less cost for commercial as well as residential real estate.

So, what, exactly, can AI do for commercial real estate? Let’s break it down.

What AI is

To put it simply, artificial intelligence is what lets Amazon’s Alexa talk to you and cars drive themselves. Its algorithms use data to mimic human intelligence, including learning and reasoning. Then there’s machine learning, where algorithms analyze enormous amounts of data to make predictions and assist with decision making. We’re putting them both under the same AI umbrella.

There are four main areas where AI is remaking the commercial real estate industry: development and investing; sales and leasing; marketing; and property management.

Development and investing

With its ability to quickly analyze a staggering amount of data, AI lets investors and developers make better data-driven decisions. More responsive financial modeling helps identify ideal use cases and project ROI under multiple scenarios using real-time data. Pulling in alternative data – say, environmental changes or infrastructure improvements – goes beyond traditional data points and can identify investment opportunities, such as neighborhoods beginning to gentrify. In fact, alternative, hyper-local data has become even more important as COVID-19 continues to upend property valuation models.

AI’s crystal ball comes from recognizing patterns in the data and continuing to learn from new information. It can forecast risk, market fluctuations, property values, demographic trends, occupancy rates and other considerations that can make or break a deal.

And it does all of this more efficiently, more accurately and less expensively than manual methods.

Sales and leasing

There’s a big question looming over AI and automation: Will technology put real estate brokers out of business? The short answer is, “No, but brokers need to step up their tech game.”

Keeping up with – and being open to – tech trends is essential. Clients’ ability to use online marketplaces to search for or list property will only grow, but there still is no substitute for expertise and the personal rapport that builds trust. Chatbots can’t negotiate (yet). Robots can’t show a space and weave details about the property into a story. (If you want to know more about using storytelling in real estate, check out this great marketing guide.)

But Big Data is such a powerful tool that brokers need to know how to harness it for themselves. Having more, and more nuanced, data about clients and properties means brokers can better match the two. They can be more confident in setting sales prices and rental rates. Becoming a “technology strategist” to help clients design an automation strategy for a property would be a great value add to their services. Even just starting out with a website chatbot to answer common questions would add a level of tech-savvy efficiency to communication with clients and prospects.

Marketing

Also a boon of Big Data for brokers: more sophisticated, targeted marketing for themselves, as well as for client properties.

Integrating AI with customer relationship management (CRM) tools brings a richer understanding of clients and prospects that can make choosing marketing channels and personalizing targeted content more precise.

Then there’s data-driven lead scoring. Property intelligence firm Reonomy says its commercial data mine – 52 million properties, 100 million companies, 30 million personal profiles, and 53 million tenants – can be searched in multiple ways to create custom prospect lists. (Check out Forbes.com’s “5 Ways Artificial Intelligence is Transforming CRMs” for a fascinating list of what AI can do, including analyzing conversations for sentiment analysis.)

Property and facility management

The Internet of Things (IoT) is already helping property and facilities managers control and predict energy costs, as well as proactively address maintenance issues. Integrating smart technology like thermostats and sensors with AI also means more efficient space planning. Smart security cameras and wi-fi tracking can create “people heat maps” that can identify underutilized or overcrowded areas.

IBM’s TRIRIGA does that and more. Part of the Watson project, TRIRIGA offers AI-driven insights to show how people are actually using a space and ensure a company has the right amount of space in the right areas. It can also analyze common questions from a chat log, then use that data to create an AI virtual assistant to automatically answer those questions – and update itself as it learns new data. Maintenance requests, room reservations and more can be fully automated.

Strategic space planning has become even more important during the pandemic, as work-from-home trends and safety concerns reshape offices as workers return. (Need ideas for your office? IBM’s Returning to the Workplace guide might be a good place to start.)

Barriers to adoption

There’s no question tech-enabled commercial real estate companies will have a competitive edge. The question is, when will more of them agree enough to adopt AI more widely?

PropTech with and without AI has exploded over the past few years – and that’s part of the problem. In an Altus Group survey, 89% of CRE executives said the PropTech space needs significant consolidation before it can effectively deliver on industry needs; 43% said that is already underway or will occur within 12 months.

Then there’s the undeniable learning curve that comes with any tech tool – an investment of time as well as money. The survey also showed concerns about regulatory requirements for data collection and management, having enough internal capacity, and nonstandard data formats.

Despite those perceived barriers, there’s also no question that innovation and disruption from AI are moving at a dizzying pace – and that commercial real estate needs to keep pace.

Lisa Wyatt Roe is an Austin writer and editor whose work has been featured on CNN.com/Travel, in Texas Parks & Wildlife Magazine and in the book “Seduced by Sound: Austin; 100 Musicians on Why They Make Music.” Travel and live music feed her soul. Volunteering with refugees feeds her sense of purpose. And making friends laugh feeds her deep (yet possibly sad) need to get all the laughing emojis on Facebook.

Real Estate Big Data

The NAR’s top 10 places for millennials to move to (a 2020 reflection)

(REAL ESTATE BIG DATA) If you’re a millennial, and wondering where you should move that can get you ahead even during this pandemic, here’s the top 10 cities for millennials.

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millennials city

An analysis of the largest 100 metropolitan statistical areas in the US by the National Association of Realtors (NAR) has resulted in the release of their list of top housing markets for millennials from the past year of the pandemic. NAR used housing affordability, local job market conditions during the COVID-19 pandemic, share of millennials in the area, and inventory availability as part of their metrics in the development of the list.

“With relatively better employment conditions and a strong presence of millennials in these markets, more new home construction will be required to fully satisfy the housing demand as the economy reopens” said NAR’s Chief Economist Lawrence Yun. Nationally there has been a 6% increase in the percent of listed homes the typical household can afford to buy since 2019, but with median home prices in the $300k and $400k range in some of the top markets, many millennials will still be priced out.

The NAR Top 10 Housing Markets for Millennials during the Pandemic, listed alphabetically:

Austin-Round Rock, Texas:

  • Affordability, April 2020 (y-y change): 11%
  • Share of Millennials: 35%
  • New Listings, April 2020 (y-y change): -28%
  • Share of most affected employment: 20%
  • Median Home Price (Q1 2020): $341,500
  • Share of listings that the typical household can afford to buy (April 2020): 33%
  • Employment y-y change (April 2020): -9%

Dallas-Fort Worth-Arlington, Texas

  • Affordability, April 2020 (y-y change): 22%
  • Share of Millennials: 30%
  • New Listings, April 2020 (y-y change): -36%
  • Share of most affected employment: 21%
  • Median Home Price (Q1 2020): $269,700
  • Share of listings that the typical household can afford to buy (April 2020): 30%
  • Employment y-y change (April 2020): -8%

Des Moines-West Des Moines, Iowa

  • Affordability, April 2020 (y-y change): 11%
  • Share of Millennials: 31%
  • New Listings, April 2020 (y-y change): -16%
  • Share of most affected employment: 17%
  • Median Home Price (Q1 2020): $209,200
  • Share of listings that the typical household can afford to buy (April 2020): 57%
  • Employment y-y change (April 2020): -10%

Durham-Chapel Hill-Raleigh, North Carolina

  • Affordability, April 2020 (y-y change): 23%
  • Share of Millennials: 31%
  • New Listings, April 2020 (y-y change): -36%
  • Share of most affected employment: 15%
  • Median Home Price (Q1 2020): $293,800
  • Share of listings that the typical household can afford to buy (April 2020): 26%
  • Employment y-y change (April 2020): -11%

Houston-The Woodlands, Texas

  • Affordability, April 2020 (y-y change): 14%
  • Share of Millennials: 30%
  • New Listings, April 2020 (y-y change): -31%
  • Share of most affected employment: 19%
  • Median Home Price (Q1 2020): $245,300
  • Share of listings that the typical household can afford to buy (April 2020): 31%
  • Employment y-y change (April 2020): -8%

Indianapolis-Carmel-Anderson, Indiana

  • Affordability, April 2020 (y-y change): 12%
  • Share of Millennials: 30%
  • New Listings, April 2020 (y-y change): -35%
  • Share of most affected employment: 19%
  • Median Home Price (Q1 2020): $204,000
  • Share of listings that the typical household can afford to buy (April 2020): 47%
  • Employment y-y change (April 2020): -11%

Omaha, Nebraska/Council Bluffs, Iowa

  • Affordability, April 2020 (y-y change): 15%
  • Share of Millennials: 30%
  • New Listings, April 2020 (y-y change): -30%
  • Share of most affected employment: 18%
  • Median Home Price (Q1 2020): $197,000
  • Share of listings that the typical household can afford to buy (April 2020): 38%
  • Employment y-y change (April 2020): -9%

Phoenix-Mesa-Scottsdale, Arizona

  • Affordability, April 2020 (y-y change): 12%
  • Share of Millennials: 27%
  • New Listings, April 2020 (y-y change): -24%
  • Share of most affected employment: 21%
  • Median Home Price (Q1 2020): $308,900
  • Share of listings that the typical household can afford to buy (April 2020): 29%
  • Employment y-y change (April 2020): -8%

Portland, Oregon/Vancouver, Washington

  • Affordability, April 2020 (y-y change): 17%
  • Share of Millennials: 27%
  • New Listings, April 2020 (y-y change): -41%
  • Share of most affected employment: 19%
  • Median Home Price (Q1 2020): $416,100
  • Share of listings that the typical household can afford to buy (April 2020): 20%
  • Employment y-y change (April 2020): -12%

Salt Lake City, Utah

  • Affordability, April 2020 (y-y change): 13%
  • Share of Millennials: 32%
  • New Listings, April 2020 (y-y change): -14%
  • Share of most affected employment: 18%
  • Median Home Price (Q1 2020): $372,100
  • Share of listings that the typical household can afford to buy (April 2020): 30%
  • Employment y-y change (April 2020): -8%

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Real Estate Big Data

Ultra simple shortcut to attract new (or more) real estate investors

(REAL ESTATE BIG DATA) Without having to spend any money, this shortcut can attract more business to boost your bottom line with real estate investors – a win-win for the nation.

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Whether you’re a real estate veteran, or looking to expand your services to the real estate investment world, a wild shortcut has just been launched, and you already have access to it for free if you’re a Realtor.

Realtors Property Resource (owned by the National Association of Realtors (NAR)), rolled out a map layer to unveil the Qualified Opportunity Zones (QOZ) across the nation this year, and it’s a tool we should all be using regularly…

The QOZ program was created in 2017 as part of the Tax Cuts and Jobs Act and is designed to improve local economies (specifically the economically disadvantaged areas) through long-term investments with real estate investors.

There are 8,700 QOZs in America, and real estate investment and development in those areas are rewarded with tax incentives (potentially reducing their tax liability by 10-15%, and appreciation on the investment is tax free if held for at least 10 years).

And now, you can find the investment opportunities in seconds, generate reports for investors, connect with homeowners (via the “Mailing Labels” feature) in those areas, and so much more – the new RPR features combine to create one hell of a shortcut for you. Check it out:

Opportunity Zones

This is “Opportunity Zones” by Realtors Property Resource® on Vimeo, the home for high quality videos and the people who love them.

“With the Opportunity Zone initiative poised to transform American communities that have long been shunned by investors, NAR has developed resources to help facilitate and expedite investments in these areas. As our work continues, REALTORS® are committed to ensuring Americans can take full advantage of this valuable new initiative”, said Joseph Ventrone, NAR Vice President, Federal Policy and Industry Relations.

“These Opportunity Zones encourage private investment into low-income communities, with the intent of stimulating economic growth and job creation,” said Bob Turner, NAR’s 2019 Commercial Liaison and RPR Advisory Council Member. “Residential practitioners will notice homes that fall within Opportunity Zones gain a boost to their marketability because of increased attention, while Commercial practitioners will likely see properties once being skipped over turn into desirable investment opportunities.”

It’s not just a shortcut for practitioners and real estate investors, but meaningful help for underserved areas. Talk about a real win-win.

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Real Estate Big Data

NAR Report: How the home search process has changed in 2020

(REAL ESTATE BIG DATA) The 2020 National Association of Realtors annual report examined the home search process, with buyers utilizing online tools and agents to help find the perfect home.

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Woman holding phone in lap, doing an online home search.

There’s extensive data and topics to research when it comes to the National Association of Realtors annual report – everything from the trust home sellers place in agents, home financing, home sales (naturally), and real estate professionals and their relationship with buyers. Practically every angle of this important market has been broken down and examined to help deliver a clear picture of real estate sales across the nation. It’s all extremely valuable and highly worth perusing (psst: search “NAR report”).

Of course, searching for a home is a pivotal and significant part of the entire process, and the NAR report has delivered an in-depth analysis of everything as well. Let’s take a look and see what current trends were revealed.

Initial Search

When it comes to looking for a home initially, there are two main options that most buyers tend to go with – searching online versus contacting outside help (primarily a real estate agent, but family and friends were also viable resources).

With the advent of the pandemic in 2020 keeping several people at home, online searches were at their all-time highest (though this trend has continued to increase in recent years). In fact, a staggering 97% of all buyers utilized the internet at some point during the process.

With the advent of the digital listings and databases, it’s been shown that 43% of buyers are first looking for properties online, compared to 18% that go to a real estate agent first. Speaking broadly, first time buyers were more likely to take this step first, and there was a direct increase as buyers were older (though this percentage decreases after the
age of 64).

First Step Taken During the Home Buying Process, First-time and Repeat Buyers

Real estate agents were definitely the second most used avenue during the search process, and this did increase with aging demographics as well. Perhaps due to greater familiarity with searching online, younger generations did look up information on buying their first home at a higher rate than older counterparts (13% with the younger group versus 6% with the oldest).

First Step Taken During Home Buying Process, by Age

Information Sources

Of course, when it comes to where to find information and best to listen to, real estate professionals reigned supreme (91% reported successfully being helped by agents), and were the primary resources for every demographic – first time buyers, repeat buyers, new homes, and previously owned homes. Online searches and open houses came second and third respectively, and yard signs and online video sites also saw a lot of utilization. Methods after this – print advertisements, billboards, relocation companies, and television sources – finished out the bottom, but there was a wide margin between them and other methods.

Information Sources Used in Home Search, by First Time and Repeat Buyers, and Buyers of New and Previously Owned Homes

Length of Time From Searching to Buying

Perhaps again owing to the nature of the pandemic, the average time a buyer used from search to purchase decreased (a first since 2014), needing only eight weeks. A median of nine homes were looked at (five online only).

First time buyers needed a little more time on average than repeat buyers (nine versus eight weeks). Agents were still utilized frequently in all instances, and were usually contacted within three weeks of the initial search.

Length of Home Search, by Region

Difficulty During the Process

It should come as no surprise that searching for a home is a massive undertaking, and can prove to be an arduous process given the magnitude of what it entails. Just finding the right home to purchase is seen as the most difficult step, with 53% of buyers saying it gave them the most trouble. Paperwork followed at 17%, while simply understanding the process from start to finish was cited by 15% of buyers. As might be expected, first time buyers reported more difficulty across the board in all areas than repeat buyers.

Most Difficult Steps of Home Buying Process by First Time and Repeat Buyers and Buyers of New and Previously Owned Homes

Online Searching Trends

Online searching was first examined in 1995, where only 2% of buyers would utilize the internet during their home search process. This increased repeatedly until 2009 to 90%, dipped slightly until 2012, and has since generally been rising. It was almost an even split between mobile and desktop devices, with younger buyers focusing more on mobile and older more likely to use a desktop/laptop.

Percentage of Time Using Devices in Home Search, by Age

There’s actually a lot of information to process when it comes to online search trends – married couples versus single buyers generally searched online more, desktop searches utilizing video sites more often than mobile (46% versus 40%), and mobile users generally finding their home through their online searches while desktop might generally direct buyers to complete the process with a real estate agent.

Value of Website Features

Of course, how a website helps direct a buyer is extraordinarily important to the home search process. Photos were the clear primary resource here, with 89% of buyers saying that images were extremely useful in the process.

Detailed information about properties followed at 86%, and then there was a significant jump to the next most important feature, as buyers reported that floor plans were important 67% of the time).

Value of Website Features

Next Steps After Searches

Once homes were found online that proved attractive, more than half of first (51%) and repeat (59%) buyers would proceed to walk through the home. Following this, buyers might then see the home but choose to skip seeing the inside (37%), or would contact a real estate agent for additional information (35%). First time buyers tended to look for more information in general (on the home itself, about mortgages, and so on) to better prepare themselves.

Actions Taken as a Result of Internet Home Search, First-Time and Repeat Buyers

Method of Home Purchases

Perhaps the best conclusion to draw here is the home purchase itself. When that time comes, agents are still used the overwhelming majority of the time regardless of a buyer using mobile or desktop more than 50% of the time. With the former, an agent helps 88% of the time, and 90% of the time otherwise. Builder agents or direct contact with the previously owner – known or not – are far overshadowed here.

Method of Home Purchase, by Use of Internet

Satisfaction with the Search Process

Given all of the tools and data available to buyers, 64% reported that they were very satisfied with the entire process, 30% were somewhat pleased, and the remaining group said they were unhappy.

Satisfaction with Buying Process

Conclusion

The NAR Report really shows an incredibly exhaustive look into the home search process. Generally speaking, with so much information available online, buyers were eager to search with devices first and speak with real estate agents early on in the process. Further, digital resources such as photos, floor plans, and other data proved incredibly useful in helping determine if buyers should seek out the home or continue their search.

Perhaps the best conclusions to draw here are that first and repeat home buyers are actively consuming data from online sources, but still rely heavily on agents to help guide them through the process (including ultimately with purchasing the home). Given the unique circumstances of the 2020 Pandemic, it’s clear that searches and next steps are best started through websites and other repositories, and are then usually followed with experts that can provide their professional experience. It’s likely that these trends will – on average – continue in ensuring years.

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