This study aims to analyze determinant factors for destination selection of halal eco-tourism using confirmatory factor analysis. Destination of halal eco-tourism is place for tourism that educate visitors about environmental awareness and providing halal compliant entertainment. The research method implemented in this study using quantitative approach namely questionnaire analysis. The endogenous latent construct is customer intention to visit destination of halal eco-tourism. The four exogenous latent constructs are brand equity, culture, quality and social. This study developed the research framework with adoption of social distance theory. The sample size of corresponding respondents is 300 customers that have intention to visit tourism places that halal compliant. Next, this study analyzed measurement model using confirmatory factor analysis for pooled model approach. Then, the validity and reliability constructs of measurement model were validated using three main model fit indexes namely absolute fit, incremental fit and parsimonious fit. Next, structural model of path analysis was performed using structural equation modelling was performed. The multivariate regression analysis was performed with maximum likelihood approach. The result shows the absolute fit (RMSEA) is 0.029, incremental fit (CFI) is 0.997 and parsimonious fit (Chisquare/degree-of-freedom) is 1.247. All of three model fit indexes indicate the measurement and structural model is good fit with actual data. Multiple regression analysis shows all four exogenous latent constructs indicates significant relationship to endogenous latent construct namely customer intention to visit destination of halal ecotourism. The contribution of this study is it adding new knowledge to literature of tourism management. In addition, this study provides clear understanding for policy makers in developing eco-tourism attraction that meet with customers preference in generating profits for tourism industries. The novelty of this research is it provides a clear procedure for performing confirmatory factor analysis for validating model fit with real data.