Context The context of this business problem is new product introduction. A business organization developed a new product and promoted this to its existing customers. Initially it chose a sample of customers for promotion and the response information is available in the 'promoted' dataset. The organization is interested in building a model to select the best customers for contacting from the pool of customers not contacted ('target' dataset). Highlight of this dataset is that the developed model can be applied to shortlist customers. In most instance, we will stop the exercise with modeling that leaves a person wondering 'what next'. Content Promoted dataset provide response information along with profile of customers who are contacted. Target dataset provide profile information of customers not yet contacted. Acknowledgements I am thankful to numerous kernels and datasets published on the Kaggle. Inspiration These datasets will help us to complete an Analytics cycle. ie build a model and apply the model to select customers for second round of promotion. It will be great various approaches can be applied to achieve this.