Sentiment scores are often measured using Natural Language Processing (NLP) and machine learning algorithms that analyze the text in emails, social media posts, and customer reviews. These technologies can identify positive, negative, or neutral sentiments based on the language used by customers. Additionally, metrics like open rates, click-through rates, and unsubscribe rates can provide indirect measures of customer sentiment.