# Hoka Embedded Live Strava Running Data Into Digital Billboards, Drove 30% Lift In Brand Consideration *Real-time athlete statistics turned outdoor media into proof-of-performance, validating the product through peer data.* By **Jenny Huang Goodman MPA MSc MHSA, Principal** — The Stash Edge, Hako Shikin LLC. Published 2026-09-05. Canonical: https://www.pops4.com/stash/articles/hoka-2026-09-05t03-2 Subject: Hoka Tags: out-of-home, data-driven creative, social proof, athletic footwear, API integration, programmatic dooh --- Hoka pulled live running statistics from Strava directly into its digital out-of-home campaign across major metro areas, according to Marketing Dive. The brand fed real athlete data—pace, distance, elevation—into roadside digital billboards, updating in near real-time as runners logged workouts. The campaign drove a **30%** increase in aided brand consideration among runners who saw the placements, per the company's post-campaign measurement. The mechanics were straightforward: Hoka integrated with Strava's API to pull aggregated, anonymized performance data from users who opted in. Digital OOH screens in running-heavy markets displayed rotating stats—average pace for local runners that week, total miles logged in the area, elevation climbed. The creative updated hourly, tying the brand to actual athletic effort rather than staged imagery. No actors. No stock footage. Just the numbers from the community. It worked because it flipped the social proof equation. Traditional outdoor advertising asks the viewer to trust the brand's claim. This format let the viewer see peer validation in real time. A runner passing a billboard showing **12,000 miles** logged locally that month doesn't see an ad—they see evidence that their community trusts the shoe enough to run in it. The data becomes the endorsement. Strava's platform gave Hoka access to credible, third-party performance metrics that no brand-owned survey or influencer post could match. The billboards didn't sell the shoe; they reported what serious runners were already doing in it. The broader mechanism is borrowed authority through live data. Hoka didn't need to claim superiority. It surfaced the behavior of a relevant peer group and let that behavior speak. The refresh cadence mattered—hourly updates kept the content from going stale and reinforced the idea that this was live, not canned. The brand became the curator of athlete activity, not the originator of the message. A small physical-product brand can run the same play on a modest budget by substituting hyper-local digital screens for premium metro placements and pulling live customer data from accessible platforms. Start with a niche community platform where your customers already log activity—Goodreads for book accessories, Untappd for barware, Garmin Connect for cycling gear, Letterboxd for film merchandise. Secure API access or partner directly with the platform for aggregated, anonymized user data. Identify low-cost digital OOH inventory in high-relevance zones: a cycling brand targets screens near popular trailheads, a coffee product targets screens in neighborhoods with high specialty roaster density. Use programmatic DOOH platforms like Adomni or Blip, where you can run hyper-targeted screens for **$200–$500** per week. Design simple, data-forward creative: one large number (miles ridden, books read, brews logged), one location tag, one product shot, your logo. Update the stat daily or weekly depending on platform refresh capability. Measure with geo-fenced surveys or promo codes specific to the billboard zone. The cost is contained, the proof is real, and the customer sees their own community's behavior validated on the street. The next move is layering this with retargeting. A runner who passes the billboard and later sees a social ad citing the same Strava data experiences reinforced credibility across channels. The outdoor placement primes, the digital ad closes. ## The takeaway Live third-party data on outdoor screens turns peer behavior into brand proof without a single scripted claim. --- ## Publisher **Hako Shikin LLC** — Virginia Beach, Virginia. Founded 1997. ASI 217876 · DUNS 18-204-6339. Principal and author: **Jenny Huang Goodman MPA MSc MHSA**. - Author: https://www.huanggoodman.com/about - LLM context: https://www.pops4.com/stash/llms.txt - MCP endpoint, for AI agents: https://mcp.pops4.com/mcp - Client dashboard: https://dashboard.pops4.com/ - Catalogue: 70,000+ products, 200+ brands