Customer Lifetime Value in Insurance - sasCommunity.org
Customer Lifetime Value in Insurance - sasCommunity.org
Customer Lifetime Value in Insurance - sasCommunity.org
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All components were <strong>in</strong>serted <strong>in</strong> this formula on the bottom and the wholeterm was discounted to today`s po<strong>in</strong>t of time.In case under consideration, we will get a potential value for this specificcustomer of 790.74€.15) But how can the specific values be determ<strong>in</strong>ed?As I mentioned before, the three values “value of cancellation”, “Cross-Sell<strong>in</strong>g<strong>Value</strong>” and “claim value” are calculated by multiply<strong>in</strong>g the probability by theexpected amount of money.For each target variable, mean<strong>in</strong>g the probability and the expected amount, Ihave created a data m<strong>in</strong><strong>in</strong>g model with the use of SAS Enterprise M<strong>in</strong>er.With the help of this software it was possible to f<strong>in</strong>d out a customer`s specificvalue for each of the six target variables.All the models with the different values ended up <strong>in</strong> an overlapp<strong>in</strong>g M<strong>in</strong><strong>in</strong>gmodel, where f<strong>in</strong>ally the potential of each customer was calculated.16) Let me clarify this po<strong>in</strong>t by consider<strong>in</strong>g the “Cross-Sell<strong>in</strong>g-<strong>Value</strong>”.First of all, I`ve created a model for the target variable “Cross-Sell<strong>in</strong>g-Probability”. The aim was to determ<strong>in</strong>e a probability, that a customer will buyCross-Sell<strong>in</strong>g products <strong>in</strong> the follow<strong>in</strong>g year. Therefore the SAS EnterpriseM<strong>in</strong>er is essential. Based on historical data, the SAS Enterprise M<strong>in</strong>erdeterm<strong>in</strong>es components, which have an impact on the cross-sell<strong>in</strong>gprobability. In this example the premiums for the life <strong>in</strong>surance, thecancellation probability and the age of a customer has an impact on theCross-Sell<strong>in</strong>g probability.17) Correspond<strong>in</strong>g to this, I`ve created a second model for the target variable“Cross-Sell<strong>in</strong>g amount”. Based on historical data, variables with strong impacton the Cross-sell<strong>in</strong>g amount were discovered.For example the total premiums <strong>in</strong> a year, the premiums for the life <strong>in</strong>suranceand the amount of claims have an impact on the Cross-Sell<strong>in</strong>g amount.