Brand Hunter

Your brand's market share, measured on race day.

From race photos we find out which shoes and bikes athletes really use, and who chooses them. We use Gen AI from Huware, our technology partner, to deliver a report in 48 hours.

Analysis in progress Half marathon · sample
Runners on the seafront during a half marathon
100Kimages analyzed in 2 hours
86%+recognition accuracy
20brands recognized in a single race
48hfrom race to report

Data only ENDU can give you

Brand Hunter works on ENDU events and uses race data no other tool can cross-reference.

Hundreds of events to choose from

We work with running, cycling and triathlon events. Together we choose where to measure, by discipline, area and target.

Registration and timing in one report

We cross-reference the brands we detect with registration data and official results, always in aggregated form.

How it works

From photos to data, in three steps

Simulated figures for an Italian half marathon.

  1. 01We shoot

    Simple dedicated photo stations at key points of the course are all it takes, with no impact on the race.

    15,200photos in 2 hours
  2. 02The AI analyzes

    The AI isolates every shoe in every shot and recognizes its brand.

    52,400shoe crops analyzed
  3. 03The report

    Figures by brand, ready in 48 hours.

    6,240participants sampled

What's in the report

The figures below are not real. They simulate the analysis of an Italian half marathon.

Report ready Half marathon · sample

Share by brand

Nike 19.4%
Asics 15.1%
Hoka 14.2%
Adidas 12.6%
Brooks 10.3%
Saucony 8.8%
On 6.1%
New Balance 5.2%
Mizuno 3.4%
Puma 2.0%
10 other brands 2.9%
6,240 participants sampled

Who runs

39.4average age
  • Men 66.2%
  • Women 33.8%

age range 18-76

What the fastest choose

share among all participants and the top 100 finishers

Nike 19.4% 23.0%
Asics 15.1% 25.0%
Hoka 14.2% 19.0%
  • Everyone
  • Top 100

Year-over-year trend

share of the top brands, same event one year apart

Nike 19.4% +1.6
Asics 15.1% -1.8
Hoka 14.2% +3.0
Adidas 12.6% -0.8
  • Last year
  • This year

Women by time at the photo station

share of women in each half-hour slot at the photo station

4.1% 9:30
11.2% 10:00
21.5% 10:30
30.8% 11:00
44.9% 11:30
57.3% 12:00
What you measure

The answers marketing needs

Demographic mapping

Who your target is and where it is concentrated, based on real product use.

Competitive landscape

Who leads the market and who is chasing, race after race.

Segmentation

Which brand wins in which segment, by gender and age.

Loyalty

Which brands retain athletes and which lose them, season after season.

Performance

Which brands top runners choose, based on finish times.

Running, cycling and triathlon

Brand Hunter covers the main endurance disciplines, at big and small events: marathons, gran fondos, park runs and community rides.

  • Running: road and trail
  • Cycling: road, gravel and MTB, with frame and shoe recognition
  • Triathlon: bike and run legs
Frame recognition Cycling · sample
Pinarello bike recognized by the AI during a gravel race
Bib82 FramePinarello Confidence94% DisciplineGravel
3T Exploro bike recognized by the AI during a gravel race
Bib91 Frame3T Exploro Confidence92% DisciplineGravel
Privacy

Aggregated, anonymous data

What the AI sees, and what reaches the brand.

No facial recognition

The AI recognizes products, not faces. Registrations and results are matched inside ENDU.

Aggregated data only

Gender, age, home region and times are shared only in aggregated, anonymous form.

No personal data to the brand

Registrations and results feed the analysis only in aggregate. The brand never receives personal data.

The next race, in numbers

Tell us what you need, from brand presence to athlete statistics, and we'll show you what Brand Hunter can measure.

Talk to us

Are you an athlete? For help, go to ENDU Support

Your message