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I have a series of monthly surveys asking for services perception and I can use logistic regression to build a model every month to predict the probabilities and the associated lift. My question is: How should I approach the challenge of tracking my lift levels over time? Should I build a new logistic model every month and compare the resulting lift for each monthly model, should I use a constant model and apply it to each month and then track the resulting lifts, or is there another way to do this? PS: same variables need to be preserved in the model for comparison.

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