Lowering acquisition costs and enhancing probabilities of customer conversion
What is lead qualification?
Acquiring the right customers is paramount to ensure low acquisition costs and high customer lifetime. AI can sort out the leads worth spending time and effort on, helping you target the right customers.
3 facts about the model
Lead qualification as a standard model is a fast track to AI model implementation.
The model uses lead and service data to make predictions.
The model enables you to target the right leads.
Our lead qualification model predicts promising leads through a supervised algorithm. The mathematical model is trained on a data set, describing customers and their bought services, together with a label (supervised) that classifies the lead as promising or not. The model stores lead profiles associated with a high probability of transition into a customer, and the descriptive variables most likely to classify the cases.
The business outcome
Using the Grace Standard Model for lead qualification, the customer gets an overview of the likelihood that a lead converts to a customer. The company can direct its effort to those customers who have a high probability of transitioning. Furthermore, the company has access to insights to change customer targeting and improve the customer experience this information, start to change customer targeting and improving the customer experience.
Interested in taking AI into production?
If you think this model would be relevant for your organization go-ahead and book a demo! We would love to help you get started. Otherwise, you can download our Grace AI Platform brochure for more information.