There are no reliable pricing formulas for rental housing worth less than $100,000. For landlords, this means there isn’t a good rubric for pricing based on features and location. For renters, it’s an information asymmetry issue that makes it harder for them to know what a fair rental price is, something particularly salient for the lower-income customers in this demographic. Our business suffers from this as well, so we want to work with a MBA team to help address this issue. We want to work with them on an analytics and pricing project that involves understanding how actors currently make pricing decisions, researching channels renters use to find housing, analyzing existing pricing information to identify variables impacting rent rates as well as attractiveness for renters, and exploring better ways to value a rental for customers. This will help us develop tools to pull in data from the sources the team finds and use their insights to develop pricing models that are fairer to lower-income renters in cities where this housing is prevalent.