Jay Parsons Parsons says realestate forecasters have used one-size-fits-all models that treatall markets the same.

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RICHARDSON, TX—RealPage Inc. has introduced RealPage MarketAnalytics, a lease transaction-driven market research platform thatreportedly provides 100% visibility into performance data that iscritical for investment decisions. The platform will launch todayat the company's RealWorld conference in Orlando.

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The next-generation platform was developed by the RealPage asset optimization team. The analytics platformcombines RealPage Axiometrics and MPF Research, and is powered byRealPage's 13 million units of transaction data.

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Justin Alanis, senior vice president of asset optimization atRealPage, says that traditional research methods are based onpublicly available asking rents and occupancy data, laggingindicators of market movement that reveal less than 5% of aproperty's true performance. This new platform provides 100%visibility by tracking bottom-line rent roll, revenue and all theearly indicators that drive performance, including new leases,renewals, retention, average vacant days, lease-over-lease tradeout and lease-term lengths, he states.

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“RealPage Market Analytics represents the dawn of a new era.We're not just advancing market research. We are reimagining it,”said Alanis. “For the first time ever, you're getting 100%visibility into true submarket performance. And this is just thebeginning.”

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RealPage Market Analytics, which the team touts as being thefirst in the industry, showcases multiple new features that enhanceclient value, all within a customizable interface:

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Exclusive Lease Transaction Data: The abilityto track submarket lease trade out, renewals, resident retention,bottom-line rent roll and other key revenue figures sourced from 13million-plus units of real-time data across more than 400markets.

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AI-Infused Forecasts: More accurate forecaststhat provide a view into the future by taking into account theunique drivers at the market, submarket and individual assetlevels.

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Rent Comps: Insights derived from decades ofsame-store property tracking at the floorplan level and extensivedetails on unit mixes, managers, owners, asset classification,construction dates and real comps.

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Real Capital Analytics Sales Comps Data: Accessto datasets on sales transactions, loan details, cap rates andcapital trends via RealPage's partnership with RCA.

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Asset Snapshot: Instant and deeper dives intoany property through configurable, downloadable answers on anasset's estimated value, forecast, real rent comps and sales comps,and construction pipeline information.

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Direct Data Feeds and Ad Hoc Analyses:Intuitive analysis and extraction tools that save clients timefinding, downloading and reformatting exact data.

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“Real estate forecasters have always relied on one-size-fits-allmodels that treat all markets the same. But intuitively, this nevermade sense. Markets perform differently because they are different,and investors target certain markets based on those differences,”Jay Parsons, vice president of asset optimization and deputy chiefeconomist at RealPage, tells GlobeSt.com. “RealPage's innovativeAI-infused forecasts solve that problem by detecting the uniquedrivers of performance in each market, empowering us to moreaccurately predict market movement.”

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To do this, RealPage is leveraging machine learning tools.

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“And we have a team of multifamily analysts and consultantsregularly engaged with the industry who add deep market fluency,providing the optimum blend of art and science in producingforecasts,” Parsons states.

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Lisa Brown

Lisa Brown is an editor for the south and west regions of GlobeSt.com. She has 25-plus years of real estate experience, with a regional PR role at Grubb & Ellis and a national communications position at MMI. Brown also spent 10 years as executive director at NAIOP San Francisco Bay Area chapter, where she led the organization to achieving its first national award honors and recognition on Capitol Hill. She has written extensively on commercial real estate topics and edited numerous pieces on the subject.