1. Enhanced productivity

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Intelligent automation increases team productivity because it automates and optimizes workflows based on analytical models that ensure maximum productivity. It also reduces cumbersome, time-consuming tasks such as feedback data analysis by automating them using machine learning. This enables AI tools to automatically analyze millions of data points from numerous data sources in minutes to extract insights that would have otherwise taken several manual hours to complete. It also reduces lithuania b2b leads the risk of miscalculations common when analyzing complex data manually for patterns and trends.

2. Sentiment mining
Similarly, AI automation tools use machine learning to automatically identify sentiment in data as postive, negative or neutral, and thereby give you insight into how people perceive your brand and services. Sentiment analysis can also be applied to automatically prioritize customer complaints so customer care teams know which cases to handle first.

In Sprout, you get sentiment analysis metrics of your brand automatically in the form of graphs and reports. These sentiment insights are based on social conversations around you from a certain timeline, from different demographics or on various topics, to help you understand how your product/brand is faring in the public eye.

Sprout Social’s sentiment analysis features including charts tracking overall sentiment.
This is a crucial advantage, considering 44% of business leaders think sentiment analysis is critical in understanding consumer behavior and are already using it to guide their strategies, according to our 2023 State of Social Media Report.

Data visualization card that says 44% of business leaders think sentiment analysis is critical in understanding consumer behavior and are already using it to guide their strategies