I'm working with a client at the moment that doesn't really understand the idea of zero-centered diffs (which I can understand). I'm trying to display preference for price in a way that they are comfortable with. After running a CBC through the CBC-HB module and generating results graphing the average utility scores for price gives a nice price response curve, but the client finds it hard to comprehend. However, If I take an average of all the part-worth raw scores for price from all respondents and then exponentiate the scores, sum them and take the proportion of each exponentiated score from the total the results (which equate to a percentage of price preference) seems to underwhelm them. Does anyone have any advice or experience they can share?