Customer ID | Country | Gender | Age | Tenure | Credit card | Product_number | Churn |
---|---|---|---|---|---|---|---|
14404408525 | France | Female | 42 | 2 | 1 | 1 | 1 |
14404793794 | Spain | Male | 31 | 1 | 0 | 4 | 0 |
14404930505 | Germany | Male | 39 | 8 | 0 | 2 | 1 |
14404409296 | France | Female | 43 | 4 | 1 | 1 | 1 |
Prevent Churn and Retain Top Clients with Infer
For instance, an online e-commerce company has collected extensive demographic and product data on their customers, yet they struggle to pinpoint the exact causes of churn and the steps they should take to prevent it
Infer delivers AI-powered insights that reveal the key drivers of churn for this organization, such as the number of products they use, their age, and their participation in the subscription (active membership) program. The key drivers are then summarised in natural language with the accompanying graph to easily present this information across the organization.