Sentiment-Based Follow-Ups

Description

Sentiment-Based Follow-Ups use AI and natural language processing (NLP) to analyze customer communications, such as emails, social media interactions, and support tickets, to understand the sentiment behind them. This analysis helps identify whether a customer’s tone is positive, neutral, or negative, allowing businesses to prioritize and tailor their follow-up responses accordingly. By leveraging AI-driven sentiment analysis, sales and support teams can respond more empathetically and effectively, improving customer relationships and retention.