How can companies measure the success of their efforts in balancing AI and data analytics with maintaining a human touch in customer experience, and what key metrics should they be tracking to ensure authenticity and trust-building with customers?

Companies can measure the success of their efforts in balancing AI and data analytics with maintaining a human touch in customer experience by tracking key metrics such as customer satisfaction scores, Net Promoter Score (NPS), customer retention rates, and customer feedback. These metrics can help companies gauge how well their AI and data analytics initiatives are enhancing the customer experience while still maintaining authenticity and trust. Additionally, companies can measure success by monitoring customer engagement levels, response times, and the quality of interactions to ensure that the human touch is not lost in the pursuit of automation and efficiency.