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College Athletes' Controversial NIL Deals
College Athletes' Controversial NIL Deals

Yahoo

time22-05-2025

  • Business
  • Yahoo

College Athletes' Controversial NIL Deals

In 2021, College Sports changed forever when the NCAA allowed student athletes to make money using their name, image and likeness - known as NIL. According to one study - the total NIL market is projected to reach nearly $1.7B this year. Bloomberg Open Interest takes a deep dive into the controversial sponsorships with Learfield CEO Cole Gahagan. Learfield is a sports marketing company which represents over 200 division 1 colleges and and has helped over 2,000 athletes secure NIL sponsorships Error in retrieving data Sign in to access your portfolio Error in retrieving data Error in retrieving data Error in retrieving data Error in retrieving data

College Athletes' Controversial NIL Deals
College Athletes' Controversial NIL Deals

Bloomberg

time20-05-2025

  • Business
  • Bloomberg

College Athletes' Controversial NIL Deals

In 2021, College Sports changed forever when the NCAA allowed student athletes to make money using their name, image and likeness - known as NIL. According to one study - the total NIL market is projected to reach nearly $1.7B this year. Bloomberg Open Interest takes a deep dive into the controversial sponsorships with Learfield CEO Cole Gahagan. Learfield is a sports marketing company which represents over 200 division 1 colleges and and has helped over 2,000 athletes secure NIL sponsorships (Source: Bloomberg)

5 ways AI can be used in sponsorships
5 ways AI can be used in sponsorships

Zawya

time09-05-2025

  • Business
  • Zawya

5 ways AI can be used in sponsorships

Mscsports believes AI has the potential to meaningfully improve how we value, plan, and deliver sponsorships. But then it must be used with intention Mscsports believes AI has the potential to meaningfully improve how we value, plan, and deliver sponsorships It is also not replacing the human element, but enhancing it. Where does AI fit in? In the sponsorship industry, we've seen more than a few trends arrive with big promises—blockchain, NFTS, the metaverse. Some shifted the landscape. Others faded into footnotes. 5 ways AI can improve sponsorships - Rethinking valuation Valuing a sponsorship has always been part science, part instinct. Benchmarking, rate cards, media equivalency, and the occasional educated guess all have their place. But AI can bring more structure to that process. By analysing historical pricing, performance, and audience data at scale, we can build models that sharpen our understanding of what rights might be worth—and why. This doesn't eliminate the need for judgment, but it gives us a stronger foundation to make the case. - Audience intelligence, upgraded AI also improves how we track and interpret fan behaviour. Social listening tools that map sentiment, engagement, and emerging trends give us a more nuanced view, not just of what fans saw, but how they responded. Layer that with audience profiling, and you move beyond demographics into something more strategic: motivations, preferences, and potential. That's where smarter sponsorship planning begins. - Creative acceleration Generative AI won't replace creative teams—but it can help them move faster. Whether it's developing initial concept routes, structuring messaging, or generating visual mock-ups, these tools offer a useful way to jumpstart the process and explore broader directions early on. It's not about shortcuts. It's about unlocking more ideas, more efficiently. - Efficiency behind the scenes Some of the most immediate gains AI brings are operational. Automated reporting, transcription, highlight clipping—these may not be the most visible wins, but they create space for teams to focus on insight and impact. In a fast-moving environment, that matters. - A Measured approach Of course, AI is only as strong as the data behind it. Incomplete or biased inputs will lead to flawed outputs. And no tool, however advanced, replaces the value of human relationships, intuition, or contextual understanding. That's not a disclaimer—it's a reminder that strategy still needs steering. A real opportunity AI isn't a revolution. But it is a real opportunity—especially for teams willing to test, learn, and adapt. It won't rewrite the playbook, but it might just help us read the game a little better.

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