Case Study: Phoenix uncovers high-potential SFR markets with Local Logic

Phoenix uncovers a similar SFR market 42 miles away with Local Logic

The customer Phoenix, a major real estate investment market, faced the challenge of intense competition for single-family rental (SFR) deals in popular neighborhoods like Arrowhead Ranch. They needed a method to uncover similar, untapped neighborhoods with high potential but lower investor activity. To solve this, they used location intelligence solutions from the vendor Local Logic.

Local Logic implemented a solution using its granular neighborhood-level data to score areas on key SFR variables like proximity to amenities and economic factors. Using a k-nearest neighbor algorithm, Local Logic identified Augusta Ranch as the most similar neighborhood to Arrowhead Ranch but with lower market competition and, crucially, a significantly lower drought risk. This provided Phoenix with a data-driven strategy to discover a promising alternative location with solid investment potential.

Phoenix