Our algorithms based on sub-group discovery are very effective at spotting small groups of customers that behave in a similar fashion. Successful Customer segmentation is paramount to reducing MROI through targeted actions.
Customer churn prediction
Using a historical dataset of customers who churned in the past and discovering patterns within this data, we can forecast the current customers that have a high probability of churning. Marketers are therefore enabled to implement churn preventive actions that also improve MROI.
Customer lifetime value forecasting
Our machine learning systems are an excellent way to predict the LTV of existing customers. Business forecasts and growth prediction often rely on LTV. As these forecasts drive marketing spending, good LTV prediction is a key reducing costs.