Leveraging predictive analytics for customer anticipation can be a powerful way to improve customer service and satisfaction. By using predictive analytics, businesses can anticipate customer needs and desires, and proactively provide solutions and support before problems arise. Implementing a predictive analytics solution can be a complex undertaking, but this checklist can help simplify the process and ensure a successful implementation.
- Define what customer anticipation means for your organization.
- Establish a clear business case for using predictive analytics to anticipate customer needs.
- Define the business problem or opportunity that you want to address with predictive analytics.
- Identify what data you have that could be used to predict customer needs and desires.