<![CDATA[This study aims to determine the influence of personal selling, customer response, and customer interest on customer decisions in activating the BRImo application. Research is a type of quantitative research. A sample of 100 respondents using GForm from a total population of 3100. by accidental random sampling. The method uses multiple linear regression with statistical tests and classical assumptions. Classic assumptions are not a problem. The results showed that customer responses and customer interest were significantly positive in influencing customer decisions in activating the BRImo application, while personal selling had a positive effect was not significant. The F test shows that the simultaneous influence of personal selling, customer response and customer interest in customer decisions is significant, which is 70.298 with a significant value of 0.00< 0.05. The coefficient of determination is 0.687. This shows that the customer's decision can be explained by 68.7% by personal selling, customer response, and customer interest. The remaining 0.313 or 3.13% is explained by other variables outside the model, such as customer knowledge and education. The most dominant variable in influencing customer decisions is the customer response, which is shown to be a regression coefficient of 0.354 with a t-count of 4.153.]]>
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