According to a recent LinkedIn post from Respondology, the company has been tracking fan comment sentiment across the NCAA basketball tournament using its Discover analytics tool. The post highlights shifts in positive sentiment around UConn and Michigan before, during, and after key games, including sentiment improving for the eventual champion after the title win.
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The LinkedIn post also notes that fan rivalries emerged as a dominant topic in comment sections following the championship, with each team’s main rival reportedly becoming the top trending topic on their social feeds. This suggests potential use cases for Respondology’s tools in real-time audience analysis, sponsorship valuation, and social media strategy, which could enhance the platform’s relevance to sports properties, brands, and agencies.
For investors, the post implies that Respondology is positioning its Discover product as a way to quantify and interpret fan behavior beyond simple engagement metrics. Demonstrating that its sentiment and trend tracking can surface nuanced dynamics—such as rival-fan activity and post-game narrative shifts—may support the company’s value proposition in data-driven sports marketing and broader social analytics markets.
The example of sentiment diverging from on-court outcomes, with UConn leading in positivity while Michigan secured the win, underscores the complexity of fan sentiment as a predictive or evaluative metric. If Respondology can package such insights into scalable offerings for advertisers and rights holders, it could deepen recurring revenue opportunities and strengthen competitive differentiation against larger social analytics platforms.

