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Public Sector

Social intelligence

Intelligent Social Listening

Intelligent Social Listening

For:
Local authorities, Government agencies
Problem addressed
The technique of identifying and evaluating a specific kind of business or brand on social media is known as social listening. In order to understand online consumer behavior and patterns, social listening is crucial. In fact, the majority of businesses just rely on social listening to gauge the performance of their operations. 
The challenge here is that the amount of information a typical person can follow online is restricted to insights and broad trends that customers favor. In order to better understand what the typical consumer wants and needs, a quick and efficient solution is required that can monitor discussions, keywords, various themes, and trends. 
Description
An AI social listening software is developed that can make the monitoring 10x faster than the average person. It can follow a customer's words like a thread to discover what the consumer likes or dislikes about your company. Until it discovers further information or additional individuals who share its sentiments, the software will continue to follow this pattern. It also identifies the increase in discussion regarding a rival's goods or services and how it differs from yours.
AI social listening software makes use of photo recognition to analyze different types of logos and brands in images shared on social media. These images can be followed on any website, including Instagram, Facebook, Twitter, Tumblr, and others. It assesses the brand's customer demography and level of satisfaction from these images. It is so advanced that it can identify online both your consumers and the customers of your rivals by things like scenery, products, gender, and age.
This software informs you as soon as it has determined all the social listening components. It decides what you value most from monitoring and organizes all of its data in a way that is easy for you to comprehend. It sends you a complete automated report without your needing to ask for it.
After identifying hotspots and notable peaks in the volume of conversations involving your brand or a rival, you can quickly support important decisions made on the fly based just on good or bad mentions. In these situations, your PR staff can have an advantage in spotting potentially harmful talks and resolving the issue before additional damage is done to your brand's reputation, saving you time and money.
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Raw Data
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Machine Learning
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Automate Process
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