First Dataset

People who live, work, are regularly present or are ( example : a coffee shop with takeaway coffee near a large business center ).

Demographics
gender ( example: shampoos for men or decorative cosmetics for women );

age ( example: fashion show courses for young girls );

marital status ( example: vouchers to a sanatorium for married couples with children );

birthday on a specific date ( example: an offer to spend a birthday in a spa center for those who have one next week );

education ( example: invitation to continue studies at a university for those who have received a higher education here );

income ( example: premium products or inexpensive smartphones );

work ( example: courses for dentists ).

Behavioral
interests (example: health school for those who are interested in health and a healthy lifestyle or suffer from certain diseases );

travelers ( example: a discounted tour for frequent travelers );

purchasing behavior ( example: advertising a new australia email list online store to those who regularly shop online );

loyalty ( example: subscribers of specific groups or pages );

activity ( example: attracting active subscribers to a group about computer games to a gaming magazine group );

users of operating systems, browsers, devices and smartphone models ( example: advertising for iPhone headphones );

motives for purchase (example: a healthy eating marathon for those who want to lose weight, and the same marathon for those who want to become healthier) ;

payment methods (example: new TV model in installments) .