Hoka pulled running data from Strava—pace, elevation, distance—and pumped it live into digital out-of-home billboards near running trails and retail clusters, according to Marketing Dive. The campaign displayed anonymized performance metrics from actual runners wearing Hoka shoes, refreshed throughout the day. The brand reported a 22% increase in foot traffic at partner retail locations within a mile of the billboard placements during the campaign window, and a 17% lift in brand search volume in the designated metro areas.
The mechanics: Hoka partnered with Strava to surface aggregated activity data from opt-in users who tagged their runs with Hoka gear. The data fed into programmatic digital OOH units—screens positioned along high-traffic running corridors in three major cities. The ads cycled between real-time stats ("847 runners logged 6,214 miles in Hoka this week near you") and product imagery. No user names or identifiable information appeared. The refresh rate was sub-hourly, keeping the numbers current enough to feel live without requiring constant API calls.
Why it worked: Most outdoor advertising for performance gear relies on stock photography and generic claims. This flipped the script by displaying verifiable, local proof. The numbers changed as runners kept moving, which turned a static billboard into a scoreboard. The proximity to trails and retail created a tight loop—runners finished a loop, saw their community's aggregated output on a screen, and walked into a nearby store while the endorphins were still active. The campaign also borrowed credibility from Strava, a platform runners already trust for accuracy. Hoka didn't need to claim the shoes performed; the community data did that work.
The mechanism scales to any physical product with a measurable use case and a platform that tracks it. A cookware brand could pull recipe completions from a meal-kit app and display them near grocery stores. A hydration brand could sync refill counts from a smart bottle and run the numbers on college campus screens. The unlock is pairing a product with a third-party data source the customer already uses and respects, then displaying that data in a place where the customer is physically proximate and ready to buy.
The steal: Find the app or platform your customer already uses to track the behavior your product enables. If you sell bike accessories, that's Strava or Ride with GPS. If you sell cold-brew makers, that's Reddit coffee forums or a niche Discord. Reach out to the platform or scrape publicly shared, aggregated data (with permission). Rent a single digital OOH screen near a retail partner or trailhead for one week—rates start around $500 per screen per week in mid-tier metros. Display the live count: "237 riders logged 1,843 miles on [your product category] this week within 5 miles." Pair it with a QR code to a retailer locator or a time-limited discount code. Track foot traffic or scan-through with the retailer. If the lift justifies the spend, expand the screen count or extend the duration. If your product has no tracking platform, create a simple landing page where customers self-report usage in exchange for a small reward (a sticker pack, a discount on their next order), then pull that count into the OOH rotation.
The broader pattern: Live data beats static claims when the customer can triangulate the source. Hoka didn't invent a new ad format—they made the existing format accountable by tethering it to a stream the audience could verify. That's the transfer: pick the metric your customer already believes, then make the billboard prove it's real.