Predictive Modeling for Retirement Community Marketing

This case study details the collaboration between Acts Retirement-Life Communities and AccuData to enhance marketing strategies through predictive modeling. Acts, the largest not-for-profit owner and operator of continuing care retirement communities, faced challenges in understanding its resident demographics and effectively targeting marketing efforts. To address this, AccuData appended demographic and psychographic data to Acts' existing resident database and developed a predictive analytics profile. This profile was used to identify and rank prospects most likely to respond to marketing campaigns. The results indicated a significant improvement in marketing efficiency, with a 2.5x increase in response rates and a 90% average occupancy achieved. The predictive model allowed for targeted marketing based on specific attributes, such as the square footage of potential residents' current homes. Overall, the initiative led to a more effective marketing approach, enabling Acts to prioritize prospects and optimize their sales efforts.