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This study examines the influence of gender, age, education, living area and marital status as socio-demographic indicators and financial literacy toward investment decisions. The research was conducted in South Sulawesi, Indonesia with 167 respondents. The sample used was purposive sampling, with the specific criteria for the level of Indonesian wealth. Quantitative methods and a problem-solving approach were used. We found that gender has a negative and significant effect, education, living area, and marital status positively and significantly affect investment decisions. Women tend to prefer low-risk investments compared to men largely attributed to lower levels of financial literacy among women. In terms of education, investors with higher levels of education are more likely to make more informed investment decisions as they demonstrate improved risk management skills and a higher level of financial literacy. The living area also influences their investment decisions, with urban investors having easier access to information and knowledge about investments. Marital status also affects investment decisions, as married investors often prioritize the responsibility of their investments. However, age have a negative and not significant on investment decisions. This can be explained by the higher number of younger people becoming involved in investment decisions.

The occurrence of the internet in accessing information has changed the way people view shopping activities. Currently, shopping can be done anywhere and anytime without having to do mobility due to the available mobile apps. This study aims to analyze how much influence cognitive customer experiences and affective customer experiences have on customer satisfaction in Fore Coffee consumers who use mobile apps. Methods of data collection using interviews and questionnaires using a Likert scale and determining the sample in this study were 100 respondents using nonprobability sampling technique with purposive sampling method. To analyze the data in this study, multiple linear regression analysis was used with the help of SPSS version 25 software. The findings show that cognitive customer experiences have a significant effect on customer satisfaction, affective customer experiences have a significant effect on customer satisfaction, and cognitive customer experiences and affective customer experiences have a significant effect on customer satisfaction.