The impact of a variable and its contribution in explaining the focus variable of interest depends on other variables included in the model. If we include variables stepwise, The contribution to explanation depends on the stage at which the variable is included in the model . Advanced Key Driver Analysis takes into account this difference in contribution based on the stage of introduction and the other variables in the model.
In advanced key driver analysis using regressions, we will consider all possible permutations and combinations of an explanatory variable with the other explanatory variables - looking at model with different number of variables and different steps ate which the explanatory variable of interest is introduced. Over all these many different model, often numbering in the thousands, we average out the contribution of each explanatory variable. This provides a more robust, stable estimate of the relative importance of different variables.