Customer Loyalty, Data and Development
How to Use Data and AI to Predict and Improve Your NPS Score
Net Promoter Score (NPS) has become a KPI at many organizations, and for good reason. It is simple to measure and has the distinctive ability to indicate how the business will perform on several other metrics, including customer retention and revenue.
The challenge with current NPS data approaches
While NPS is easy to measure, it is difficult to improve. Organizations understand that detractors have low NPS because they have had an unsatisfactory experience at some point in their customer journey. However, identifying where or when the unsatisfactory experience occurred is a challenge. This is especially true for financial services organizations, where customers have unique and complex journeys through various different products and services. NPS suffers from these challenges for a few reasons:
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