Recently, I read a promotional email from one of my favorite market research vendors. The email’s first message was about propensity models, one of my favorite tools. I wondered if they really have the sample sizes necessary to create accurate scoring; in my experience, it requires very large samples that most firms cannot afford or execute.

The foundation of successful customer acquisition is prospect data that targets consumers who are in the market to buy a specific insurance product. Too often, insurance marketers rely on simple targeting criteria such as age, income and gender. The use of this commodity prospect data results in a higher effective cost per lead, fewer policies sold, and higher lapse rates. Fortunately, the use of life event trigger data can help you target individuals who are highly likely to purchase an insurance product in the near future.

The foundation of successful customer acquisition is prospect data that targets consumers who are in the market to buy a specific insurance product. Too often, insurance marketers rely on simple targeting criteria such as age, income and gender. The use of this commodity prospect data results in a higher effective cost per lead, fewer policies sold, and higher lapse rates. Fortunately, the use of purchase propensity data can help you target individuals who are highly likely to purchase an insurance product in the near future.