Social analytics is monitoring, analyzing, measuring, and interpreting digital interactions and relationships of people, topics, ideas, and content. Interactions occur in the workplace and external-facing communities.
Social analytics include sentiment analysis, natural language processing, and social networking analysis (influencer identification, profiling, and scoring), advanced techniques such as text analysis, predictive modeling and recommendations, and automated identification and classification of subject/topic, people, or content.
These can be based on factors such as audience engagement, behavior, conversions, branding, employee engagement, or even customer service. Some examples of social analytics metrics are click-through rates, conversion rates, impressions per mile, engagement rates, and leads.