Those aged 30-40 are most likely to share data for rewards – China, Mexico and Russia lead for people willing to share data – Germany, France and Brazil have the most people not willing to share data
Nuremberg, 03 February 2017 –
Over a quarter (27 percent) of internet users across 17 countries strongly agree that they are willing to share their personal data, such as health, financial, energy use or driving records, in exchange for benefits like lower costs or personalized service. This contrasts to 19 percent who are firmly unwilling to share their data.
GfK asked people online to indicate how strongly they agree or disagree with the statement, “I am willing to share my personal data (health, financial, driving records, energy use, etc.) in exchange for benefits or rewards like lower costs or personalized service” – using a scale where “1” means “don’t agree at all” and “7” means “agree completely.”
Equal percentages of both men and women are firmly willing (top two boxes) to share their data in return for benefits – both standing at 27 percent. However, more women than men class themselves as firmly unwilling (bottom two boxes), standing at 21 percent of women versus 18 percent of men.
People aged in their twenties and thirties are most likely to share their data, with a third saying they are firmly willing to do so (33 percent and 34 percent respectively). They are followed by those aged 15 to 19 years old, at 28 percent.
People in China are most ready to share their personal data in exchange for benefits, with 38 percent of the online population saying they are firmly willing to do so and only eight percent firmly unwilling. Other countries with higher than average levels of willingness are Mexico (30 percent), Russia (29 percent) and Italy (28 percent).
The five countries with the highest levels of people firmly against sharing their data are Germany (40 percent), France (37 percent), Brazil (34 percent), Canada (31 percent) and the Netherlands (30 percent).
By using GfK’s findings, businesses save time and resources through recognizing in advance which target audiences in each country are likely to respond to standard data-sharing offers, and which audiences require bespoke offers designed to align with their specific mindsets.