Identification of Web User Segments Based on Beliefs about Online Ads

Online advertising has been one of the fastest growing industries worldwide, due to the increased number of Internet users. From the perspective of marketing management, identifying the profile of web users who click online ads will enable designers to create better online advertising campaigns. Hence, the main objectives of this article are (1) to segment web users based on their beliefs about online ads, (2) to identify personality traits of each segment, and (3) to investigate attitudinal and behavioral differences across segments about online ads. Data were collected through an online survey and by using cluster analysis, web users were segmented into three groups based on their beliefs about online ads: “Supporters,” “Neutrals,” and “Opponents.” Personality trait differences as well as attitudinal and behavioral differences among three segments were examined and significant differences were found in terms of their personality traits, such as variety seeking, market mavenism, and innovativeness.