The Sentiment Score was the first proprietary index created by The Data Appeal Company. It measures the level of satisfaction expressed by users online about a service, product, brand or territory. In detail, it defines the real customer perception of goods and services and pinpoints what influences purchasing behaviors of current and future buyers to evaluate the value of any brand or territory.
The higher the Sentiment, the more positive the experience.
Our algorithm is based on a machine learning model which analyzes online conversations and provides a multi-class score (positive, negative and neutral) of any text.
The index not only offers a polarity score for each content (review, social post, comment, etc.), but also identifies the main topics inside of the text and the correlating sentiment.
In real time, the index analyzes all content posted by users on over 100 online sources, normalizes scores and produces a synthetic index from 0 to 100.
Monitor and analyze Sentiment trends for at-a-glance insights about how much your investments, decisions and marketing campaigns impact customer satisfaction. Plan future actions to achieve improved results.
Uncover the most appreciated aspects about your business or territory and those you can improve; divided by department, industry, target market and period of analysis.
In real time, compare the Sentiment Score of your business against competitors. Uncover your competitive advantage and identify their weakness to improve your positioning.
ADVANTAGES
Every aspect of your brand has a relative customer sentiment, from individual products and services to the physical locations. With our semantic analysis, seamlessly identify the most appreciated and criticized aspects and take action accordingly. Exceed company objectives and overcome competitors.
