Hi All,   The objective is to build a survival model..Predicting when customers are more likely to return and purchase...For example, we are expecting the customer 101 to return on w9 etc.The data below represents the weekly customer transactions they have made in the last 13 weeks...(the value in the data is the amount spent in that week).   Hope It makes sense, if not please do not hesitate to give me a shout.   Thank You   customer_id W1 W2 W3 W4 W5 W6 W7 W8 W9 W10 W11 W12 W13 100 .  .  .  .  .  .  2.5 .  .  2.5 2.5 .  .  101 4.5 2 3.5 2.5 2.5 2.5 .  .  4.5 5 .  .  .  102 .  6.5 .  .  .  .  .  .  6.5 .  .  9 .  103 .  5 10 .  .  .  9 8.5 13 .  7 18 7 104 2 2 .  .  .  .  .  .  2 .  4.5 2 . ... View more

Hi All,   I would like to build a model to predict likelihood for an individual customer to return by week n etc.. I have hear Cox’s Proportional Hazard technique would be the appropriate technique. But I have never used it and your help would be mucch appreciated. Also how do I define my target in this case?...My data is like below.   Many Thanks   customer_id W1 W2 W3 W4 W5 W6 W7 W8 W9 W10 W11 W12 W13 100 .   .   .   .   .   .   2.5 .   .   2.5 2.5 .   .   101 4.5 2 3.5 2.5 2.5 2.5 .   .   4.5 5 .   .   .   102 .   6.5 .   .   .   .   .   .   6.5 .   .   9 .   103 .   5 10 .   .   .   9 8.5 13 .   7 18 7 104 2 2 .   .   .   .   .   .   2 .   4.5 2 .   ... View more

Hello All,   I have a built an engagement model using Logistic regression. in SAS My approach was to identify the customers my company considers engaged, and then I built a model (using both engaged and not engaged customers) and predict "engaged"..  but the most important variables are 3 months variables (time spent on site in the last 3 months, distinct devices used in the last 3 months, etc...).. I have been challenged by the business who would like to have a Dynamic engagement model, basically they want to see the scores changing quite fast when a dramatic change happens (Price change, Special Event , Xmas etc).    At the moment, it will take the model I have , around 3 months to detect a change, which is a long period and won't be useful for the business. Could you please advise what's the approach to take in this situation? Are there any other techniques I could use here? Is Signal detection modelling , the right approach? Should I add extra variables ( dropped or increase m1 vs m2)?   Your help would be much appreciated.   Thank You ... View more

  Hi All,   I have built a customer engagement model using logistic regression, The approach was to take a group of customers we consider engaged, then build model to find lookalike in the customer base.   The most important variables were as you will expect, number of visits in the last 12 weeks, number of distinct product they use in the last 12 weeks etc...I have also entered variables, like visits in the last 1 week, last 4 weeks etc but the most important were only 12 weeks var.   My question is if there is any change , like price increase of products or any other events that will impact the purchase. How do I make sure in the model that it won't take 12 weeks to see how customers are getting disengaged etc..   Your help would be much appreciated.   Thank You so much ... View more

Hi All,   I have built a customer engagement model using logistic regression, The approach was to take a group of customers we consider engaged, then build model to find lookalike in the customer base.   The most important variables were as you will expect, number of visits in the last 12 weeks, number of distinct product they use in the last 12 weeks etc...I have also entered variables, like visits in the last 1 week, last 4 weeks etc but the most important were only 12 weeks var.   My question is if there is any change , like price increase of products or any other events that will impact the purchase. How do I make sure in the model that it won't take 12 weeks to see how customers are getting disengaged etc..   Your help would be much appreciated.   Thank You so much ... View more