I built a predictive model using logistic regression for direct marking creatives. I built a childrens model which predicts buying behavior for those that purchase boys, girls and baby apparel.  But one may have a high propensity right now to buy baby clothes but in 12 months, when ones  kid is a toddler, their propensity drops for baby and increases for Girls/Boys.  Ive been trying to brainstorm ways to take into account that scenario.  My question is, can anyone suggest options for adjustments to the model to based on that additional criteria?   
Propensity Modeling for Retail Marketing: Model Adjustments Based on Consumer Life Changes.
predictive modeling;logistic regression