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Research Purposes – This study aims to identify five factors in YouTube advertising (entertainment, informativeness, customization, irritation and credibility) which might effect on ad value, and attitude toward YouTube ads, leading to purchase intention of consumers.Methods – The study uses conceptual models where their hypothesis is that the ad value is positively correlated with respect to the attitude toward YouTube ads, which then affects consumer’s purchase intention.Result – This study found that entertainment, customization, and credibility is positively effected to advertising value on YouTube, where ad value has a positive effect on attitude toward YouTube ads and purchase intention of consumer.Research limitations – For this study, our respondents include 248 active YouTube users in Indonesia that will be used for data collection and analysis.Originality/value – In addition, this study found that irritation is negatively effected to advertising advertising value on YouTube, and informativeness has no effect on advertising value on YouTube.Keywords: Ad value, attitude toward YouTube ads, credibility, customization, entertainment, informativeness, irritation, purchase intention.

The purpose of this research is to identify customer purchase behavior, form customer segmentation, and identify customer address of Bukku.id. this research uses customer purchase data of Bukku.co.id in the period 1 September 2017 -17 September 2018. RFM method and clustering are used to identify customer segmentation. Then, pareto analysis results which publishers and authors need to be concerned for prioritizing effort in order to gain maximum benefit. Customer address or location has been mapped based on priority authors to determine promotion and offline marketing strategy. The results of this research show three customer cluster based on RFM and clustering analysis. Each cluster has different characteristic and it can determine which strategy suit to approach their customers. Customer profile based on authors and publisher could also benefit the company to prioritize any treatments relate to them. Better offline marketing strategy can be developed by knowing location analysis.