Customer service and customer support teams are making the shift to focus on customer success or even customer experience. Instead of simply reacting to customer problems, customer success teams can use CLV to help identify and predict problems and offer potential solutions.
The very first course in the CLV Academy provides an overview of customer lifetime value. What is it? Why is it important? What problems can CLV solve for your business? You can dive deeper into many of these ideas in later lessons.
The most commonly used customer lifetime value models benchmark their strengths on aggregate statistics. Yet, most business use cases for CLV require accuracy at the individual level. You can see the problem.
Are you ready to start using customer lifetime value metrics in your business? Start here. This lesson walks you through a useful checklist to start building a data platform to handle customer-level data and models.
You can use customer lifetime value metrics across the organization, from marketing and sales to product and customer service. For cross-functional alignment, visualizations are a helpful tool to share customer data science with other teams.