Moderating Effect (Interaction) in Binary Logistic Regression

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Hey, I presume the answer to my question is fairly straightforward but im really having a hard time understanding how to approach this.

I am conducting a binary logistic regression with dependent variable Conversion (0 = No, 1 = Yes) and three independent variables; Group (Control vs Experimental), Customer Type (New vs Existing Customer) and Culture (UK and US). As you can tell, all variables included are dichotomous binary variables. I am looking to test moderating effect of culture on the relationship between Group and Conversion.

I am aware SPSS allows to easily create interaction between two variables with the <a*b< function, however I am not so sure how to go about testing the interaction. Should I simply input the interaction variable with the remaining independent variables once and interpret the results as usual? Or does the fact that all variables being tested are dichotomous and dummy coded influence the correct procedure?

Any help is hugely appreciated!

Thanks :)
 
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