Research at CPBL are focus on match fixing, service quality, brand image, customer satisfaction and think costumers are one group. Market segmentation can help companies to understand costumers and increase marketing efficiency. Few researches analyzed consumers' purchase intention model thus companies do not understand consumers' intention and decrease marketing efficiency. This study is from an academic perspective to segment consumer into four groups base on Cluster-based Segmentation Design and compare the difference of the groups with the participating intention model by ANOVA analyzes. The results show there are differences between clusters. Companies can't reach their marketing expectation if they can't modify marketing campaigns base on the differences. Companies have to concern the differences then launch their unique campaign to fit different groups to increase their intention.