Lessons From Nike: Capturing Athlete Data

In its 50th-anniversary publication, Nike laid out its vision for the next 50 years — with capturing data to personalise and predict as a central theme, as the brand shifts from a retail-first model to direct-to-consumer, data-led relationships with its customers.

Nike's simple filter

Before investing in any new data project, Nike asks three questions: is the data relevant to the business, is it relevant to the athlete, and is it scalable? That discipline keeps the focus on customer-centricity rather than novelty for its own sake — new revenue should come as a result of a better customer experience, not instead of one.

How Nike gets personal

Since acquiring data analytics company Zodiac in 2018, Nike has been able to combine data across its apps and connected devices to build a fuller picture of each customer's habits — for example, predicting when a runner will need new shoes and personalising an offer at exactly the right moment.

What this looks like in sport

Venues and teams have their own versions of this playbook: beacon technology that lets stadiums like Citi Field send personalised in-venue offers and seat upgrades; gamified loyalty programs like the Las Vegas Golden Knights' "Knights Vow", which rewards fans for attendance, purchases and engagement; and even crowd-noise technology planned for the LA Clippers' Intuit Dome, rewarding the loudest fans for their support.

Each example works because it offers something genuinely valuable to the fan in exchange for their data. As with Nike, the real prize is folding that first-party data into a single customer view inside a CRM — the foundation for new revenue streams and better fan experiences alike.