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What Consumers Want: General Insurance, Life Insurance and Pensions in France 2010
Datamonitor, Nov 2010, Pages: 138
Introduction
This slide deck provides direct answers to the important questions regarding consumers behaviour towards Financial Services products. This series of reports provides country specific data, set against a global backdrop, to ensure the reader knows What Consumers Want in their area of Financial Services.
Features and benefits
- The brief highlights the key findings of The FS Consumer Insight survey for general insurance, life insurance & pensions markets.
- Answers to key questions are provided such as product penetration, channel of choice, reasons for product & provider choice and important attributes.
- The slide deck also presents data across income and age groups to strengthen and deepen insight, ensuring analysis is relevant to every sector.
Highlights
- The broker/financial advisor channel is most commonly used when purchasing a general insurance product, for most products. 34% of consumers used this channel for home insurance, while 32% used a broker/financial advisor for car insurance. The use of this channel is roughly in line with the global averages for this channel.
- Price is a strong motivating factor for French consumers when purchasing life insurance products. 28% were motivated by price when purchasing term life insurance and 33% when purchasing income protection.
- Pension holding in France is below the global average. Only 11% of consumers in France hold a pension compared with 28% of consumers on average. Private pension holding is above average, however, with 63% of French pension holders having a private pension.
Your key questions answered
- This slide pack provides data essential for FS providers wishing to better understand the needs and demands of their customers.
- Uncover white space opportunities across geographies, product sectors, channels and technologies.
- Better understand the 'size of the prize' dictated by consumer choice and verify or challenge internal assumptions via an independent source.
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