I have customer feedback survey data and attrition data. I'm trying to understand if low customer service scores are correlated with higher rates of attrition. It's been a while since I've had the opporunity to do this kind of analysis, and I need some help getting started. Any recommendations on SAS procedures to look into? A couple of notes about the data: - Customer scores are discrete from 1-10 (1=not at all satisfied to 10=completely satisfied, with no qualitative "value" being assigned to ratings 2-9) - The data I have gives the average monthly customer satisfaction score by retail location; due to changes in the survey methods, I'm looking at Mar 2016 - Nov 2016. Each month's score is reported as YTD, so April's score is the sample that was collected from both March & April; May's score is March & April & May, etc. Initially I was looking at doing a timeseries analysis, but because the scores "build" on each other each month, I think it makes the most sense to use just the most recent month... but feel free to disagree. - The attrition value is net number of customers gained/lost, so it can be positive or negative - I'm interpreting this data at the store level
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