Rent Fax Pro

Answer: RentFax PRO's phone number is +19*********

Answer: RentFax PRO's official website is https://rentfaxpro.com

Answer: RentFax PRO's revenue is Under $1 Million

Answer: RentFax PRO's SIC: 6411

Answer: RentFax PRO has 1-10 employees

Answer: RentFax PRO is in Real Estate

Answer: RentFax PRO contact info: Phone number: +19********* Website: https://rentfaxpro.com

Answer: RentFaxTM helps you make better, faster, and more profitable decisions about rental property. The companys unique combination of high quality data, predictive analytics, and insightful reports assists real estate investors, lenders, property managers, and other professionals to screen, assess, market, and manage residential income property with innovative, data-driven techniques and in an extremely cost-effective manner. After a decade of development, refinement, and vetting in more than a dozen MSAs across the country, the RentFax RISCTM Score is the first and only national predictive and comparative index for rental property financial performance. The RISC index incorporates 15 unique sub-indices to evaluate multiple neighborhood attributes including crime, demographics, schools, housing mix, tenancy patterns and other factors that affect the stability of rental income in a given area. The resulting score is a number between 0 (least stable) and 100 (most stable) that facilitates the prediction of income stability and comparison of properties in the same MSA or on a national basis (USA). The companys tools offer crucial pre- and post-acquisition insights at the neighborhood (census tract) level. The Companys Rent RadarTM provides detailed and insightful profiles of a propertys expected rent with unmatched transparency and adjustment insight of rental comparables. RentFaxs Proforma report aggregates expense data from multiple sources to create a proforma income analysis from just the propertys address, beds, baths and square footage. The Income Report simulates the performance of a rental property using 10,000 iterations of correlated data inputs for a statistically robust analysis of its expected net income.

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