Gain a deeper understanding of customer satisfaction.
CSATai uses machine learning to predict each customer’s satisfaction score based on words used in their voice or chat interactions, allowing your business to learn from the voice of every customer.
Identify the factors impacting the customer experience.
Tethr lets you drill into conversations with negative or positive CSAT scores so you can uncover the factors that have the biggest influence on customer satisfaction and identify opportunities to improve the customer experience.
“Predictive CSAT uses data and past feedback to predict customer satisfaction levels. It helps the call center anticipate problems, offer personalized suggestions, and even anticipate returns or exchanges. This not only boosts the customer experience but also prevents negative reviews or returns, protecting the business's reputation and profits.”
-Arnel Deguito, Customer Experience Analyst