Fan360
- Harnessing social media to capture true fan sentiment and create next-gen fan experience in sports.
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The challenge
Identifying the problem
Interpreting fan thoughts and sentiment traditionally required lengthy surveys, which fans were often reluctant to complete, or required manual review of social media to gain insights. This process was often time-consuming, prone to errors and often used incomplete data. Fan360 streamlines this process by leveraging generative AI to automatically analyse social media content and provide accurate and timely insights into fan sentiment.
Featured highlights
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Automated sentiment analysis
Intelligently identifies and analyses fan sentiments from social media.
Insightful data visualisation
Transforms raw feedback into easy-to-understand visual insights for better decision-making.
Proactive issue resolution
Identifies and addresses fan concerns promptly, leading to a more responsive and satisfying fan experience.
Time-efficient feedback management
Reduces the time and effort spent manually sifting through data, allowing teams to focus on strategic improvements.
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The process
How it works
Fan360 uses generative AI to streamline the process of gathering and analysing fan sentiment from social media platforms.
01
Data collection and aggregation
You begin by uploading the document you want to analyse into our system.
02
Insights and reporting
Our system employs sophisticated natural language understanding and machine learning algorithms to thoroughly examine the content of the document.
03
Driving fan engagement and loyalty
During the analysis, the system extracts key details such as names, dates, and other relevant information essential to your query.
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