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Bayut Strengthens Market Intelligence Offering With New Sales And Rental History Features
(MENAFN- Mid-East Info) Building on Bayut's existing Dubai Transactions offering, the new features give buyers, sellers, tenants, investors and brokers more accessible property-level insights powered by Dubai Land Department data.
Dubai, United Arab Emirates – July 2026: Bayut, the UAE's leading property portal, has expanded its market intelligence offering with the launch of Sales History and Rental History, two new features that build on the platform's existing Dubai Transactions capabilities. Powered by official data from the Dubai Land Department (DLD), the new features allow buyers, sellers, tenants, investors and real estate professionals to explore historical sales and rental transactions at the property level. This gives users a clearer view of actual market performance beyond advertised prices, helping them assess property values, rental returns and investment potential with greater confidence. This enhancement comes at a pivotal time as more property seekers turn to data products to make an informed decision. Within a month of the launch, more than 59,000 unique users have explored Bayut's transaction history features, generating over 179,000 visits to transaction detail pages. By enhancing how transaction data is surfaced and understood on the platform, Bayut is equipping consumers with advanced data-driven insights to support more informed property decisions. Closing the Gap Between Asking Prices and Market Reality: For many property seekers, asking prices have long been the primary benchmark when evaluating a property's value. However, listing prices don't always reflect actual market transactions. Bayut's Sales History and Rental History features build on the platform's existing transaction data capabilities by making verified sales and rental records easier to access, compare and apply to real-world property decisions. Available to logged in users on Bayut's Dubai Transactions page, the new enhancements allow property seekers to explore:
Dubai, United Arab Emirates – July 2026: Bayut, the UAE's leading property portal, has expanded its market intelligence offering with the launch of Sales History and Rental History, two new features that build on the platform's existing Dubai Transactions capabilities. Powered by official data from the Dubai Land Department (DLD), the new features allow buyers, sellers, tenants, investors and real estate professionals to explore historical sales and rental transactions at the property level. This gives users a clearer view of actual market performance beyond advertised prices, helping them assess property values, rental returns and investment potential with greater confidence. This enhancement comes at a pivotal time as more property seekers turn to data products to make an informed decision. Within a month of the launch, more than 59,000 unique users have explored Bayut's transaction history features, generating over 179,000 visits to transaction detail pages. By enhancing how transaction data is surfaced and understood on the platform, Bayut is equipping consumers with advanced data-driven insights to support more informed property decisions. Closing the Gap Between Asking Prices and Market Reality: For many property seekers, asking prices have long been the primary benchmark when evaluating a property's value. However, listing prices don't always reflect actual market transactions. Bayut's Sales History and Rental History features build on the platform's existing transaction data capabilities by making verified sales and rental records easier to access, compare and apply to real-world property decisions. Available to logged in users on Bayut's Dubai Transactions page, the new enhancements allow property seekers to explore:
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Historical sales and rental transactions by community and building
Transaction dates and verified sale or rental values
Property specifications, including unit size and type
Comparable historical transactions
Detailed property information to support valuation and investment analysis
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