P/C Insurers Expanding Use of Predictive Modeling

Property /casualty insurance executives believe that predictive modeling has become an essential or very important driver of improved performance over the past six years and they are broadening their use of the application into new areas of operation, according to a survey by Towers Watson.

Towers Watson, a professional consulting firm that offers predictive modeling services, first surveyed P/C insurers on their predictive modeling techniques in 2009. Since then, a growing proportion of insurers have reported positive impacts on rate accuracy (98 percent of insurers in 2014 versus 68 percent 2009), loss ratios (91 percent versus 57 percent) and profitability (87 percent versus 57 percent).

The Predictive Modeling Survey shows that the increasing percentage of insurers currently using predictive modeling for underwriting, risk selection, rating and pricing continues the long-term growth trend across every line of business compared to last year. For personal lines, auto experienced the most growth (97 percent in 2014 versus 80 percent 2013). Two commercial lines (property and auto) sustained year-to-year increases of 19 percentage points in the use of modeling. Specialty lines exhibited the largest increase (44 percent versus 13 percent).

The survey also notes that predictive modeling applications are being deployed more broadly, beyond just risk selection and pricing. While less than 30 percent report they are currently using predictive models to evaluate fraud potential, claim triage, litigation potential or target marketing, an additional 36 percent anticipate doing so over the next two years across all those applications.

“Insurers’ profitability in the competitive P/C market is hard earned,” said Brian Stoll, director, P/C practice, Towers Watson. “However, many are recognizing the value of predictive modeling to favorably impact loss costs, expenses and premium growth.”

In fact, he said, 92 percent of personal lines carriers say sophisticated risk selection and rating techniques are an essential driver of performance, while 86 percent of small to midsize commercial lines say it’s either an essential or a very important driver.

Insurers surveyed say price integration (overlay of customer behavior and loss cost models in setting prices) is one area where progress has been slow. Two-thirds aren’t using price integration for any products, while most have not yet moved on to price optimization for products.

“The disparity between insurers’ optimal use of price integration techniques and the actual level of implementation is surprising. Insurers may be missing the strong competitive advantage that model integration provides,” said Klayton Southwood, director of the P/C practice, Towers Watson.

The survey results represent the views of 52 U.S. insurance executives in both personal lines carriers and commercial lines carriers.

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Source: Towers Watson