AI powered social media listening

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Real-time monitoring: A pillar of social media listening AI- powered social media listening enriches real-time monitoring through different elements, for example: Instant trend detection: AI in social media listening identifies emerging trends and relevant conversation topics. For example, a fashion brand can use AI tools to track mentions about the latest fashion week, quickly tailoring its campaigns to the most talked-about styles. In fact, an interesting fact is that more than half of the world's population uses social networks, and this grows at a rate of 5.1% annually , so trends are changing considerably as the days go by.


Live sentiment analysis: offers a deep hong kong whatsapp number data understanding of consumer sentiment towards a brand or product. You can even leverage some machine learning tools, which analyze patterns in large volumes of data to identify trends and emotions, improving the accuracy of consumer sentiment analysis in real time. Automated crisis alerts: AI makes it possible to set up alert systems that notify brands about abnormal spikes in social media activity, indicating potential crises or emerging issues. For example, if a sudden spike in negative mentions is detected, AI tools can alert the company to take corrective action without delay.