Model display nameUse cases of the model
Use cases of the model
  1. The high propensity customers can be encouraged to try products that have been newly launched. Orgs can identify the customers that are most likely to transact in the next 30 days using the transaction propensity model and target these customers with specific campaigns. 
  2. Orgs can also identify the customers that are least likely to transact in the next 30 days and exclude them from campaigns. 
  3. Product preferences of customers who are most likely to transact in the next 30 days can be analyzed using Insights+. Use results generated by models in Insights+ for reports. 
Customer Churn Prediction
  1. Orgs can identify the customers who are likely to churn in the next 30 days and these customers can be targeted with aggressive churn killer campaigns. 
  2. Customers who are least likely to churn can be targeted with informational campaigns (instead of aggressive, personalized offers) to keep them engaged.

Campaign Response Prediction

  1. Orgs can identify customers who are most likely to respond to a campaign. For instance, customers not likely to respond to a festive campaign can be excluded and campaign costs can be saved.
CLTV Prediction
  1. Orgs can identify the most valuable customers for the brand using the CLTV Prediction model. Orgs can create an exclusive experience for such customers. 
  2. Orgs can identify the customers with low CLTV value and offer them loyalty services or additional discounts to upscale their value.
  3. Orgs can use a combination of CLTV prediction and churn prediction models to arrest churn of high value customers.