Customer Lifetime Value
Deciding which customers have the highest expected lifetime value
Some customers generate more revenue than others. Identifying which customers are most valuable to you can drive high impact decisions on your marketing strategy and customer success.
With machine learning, you can use your historical data to build a model to predict the expected future value of your customers. With this information, you can take proactive action to increase revenue and improve your marketing and customer success efficiency.
With Modulos AutoML, building a predictive model for lifetime value is easy and the interpretability feature of the Solution allows you to identify which factors affect lifetime value most.