Purely as an initial explanatory investigation I would use some plots of effect-size vs moderator.
Potentially you might perform some cluster analysis on your population based on the other variables. Then after classifying your users into groups, or by expressing the group membership with some lda or pca score. With the reduction of the number of dimensions, you can see if there is a correlation between the group membership class or group membership score and the effect size.