A marathon runner passes a giant screen showing a supporter video message triggered by their approach.

ASICS: Run With Me at the Gold Coast Marathon

ASICS has a fine history not just in running sports, but also in the innovative use of technology. So at the Gold Coast Airport Marathon, a grueling 42km run, they created a powerful demonstration of running and technology by connecting runners with their supporters like never before.

Runners were given RFID timing chips to connect their run with Facebook. This allowed them to automatically post pre-written messages at checkpoints, along with distance run and remaining, live timing, and location data plotted on Google Maps. At the same time, friends and loved ones were able to upload video messages of support, which were triggered and played as runners approached giant screens along the course.

In large-scale sports events, real-time data and social signals can turn spectators into an active support system that changes how the race feels while it is happening.

A marathon that posts for you, at the moments that matter

The clever part is not “Facebook integration.” It is the timing. Checkpoints are already emotional beats in a race. Effort spikes. Doubt kicks in. Motivation dips. By tying updates to those exact points, the campaign makes every status feel earned, and every reply from friends feel relevant.

RFID is doing quiet work here. It removes manual posting friction, and it makes the updates feel live rather than staged, because the data is anchored to race progress.

Support that shows up on the course, not just in the comments

Most event social campaigns keep encouragement on a screen at home. This one brings encouragement into the race environment. The supporter uploads become on-course content, triggered when the runner is near, so the message arrives in the body, not just in the feed.

That shift matters. It turns “cheering” from a passive gesture into an intervention, and it gives runners a reason to care about the system mid-race, not only after finishing.

Reported outcomes, and what they imply

The campaign reported that 2,000 runners, described as 15%, connected their run with Facebook. It also reported 6,000 messages of support uploaded, 1,000 video messages created at the event, and 35% of runners receiving video support. Additionally, it reported thousands of unique status updates from inside the race, 25,850 unique visitors to the microsite, and tens of thousands of return comments from friends and family.

Even if you strip the numbers back, the strategic takeaway is clear. When you connect performance data to social response, you create a loop. Effort generates updates. Updates generate support. Support reinforces effort.

What to steal for your next event activation

  • Attach the experience to natural moments. Checkpoints, milestones, and thresholds beat “post whenever you want.”
  • Automate the boring part. If the participant must manually publish, most will not.
  • Bring support into the physical environment. On-course screens, audio, or wearable prompts outperform distant encouragement.
  • Give supporters a real role. Uploading a message is simple, but it feels meaningful when it is triggered at the right time.

A few fast answers before you act

What is the core mechanic of “Run With Me”?

RFID-triggered race checkpoints publish pre-written social updates, while supporter videos are triggered on giant screens as runners approach.

Why does RFID matter here?

It makes the experience hands-free. The system captures progress automatically, so runners do not have to stop or think about posting.

What makes the supporter videos more powerful than normal social comments?

They appear in the runner’s world during the effort, not after it. Timing plus proximity turns a message into motivation.

What is the biggest risk when building this kind of live experience?

Reliability. If triggers misfire or content appears late, the emotional payoff collapses. The tech has to feel invisible and dependable.

How do you measure success beyond impressions?

Opt-in rate, supporter participation rate, trigger completion rate, and whether the loop changes behavior, for example more mid-race engagement and higher repeat participation intent.