Hoka embedded live Strava running statistics into digital out-of-home placements, according to Marketing Dive, reaching runners with performance data they already track. The campaign displayed real aggregated run metrics — distance, pace, elevation — from local Strava users on digital billboards in key running markets. The brand reported a 41% lift in engagement among runners who saw the data-driven creative versus standard product-focused outdoor.
The mechanics were straightforward. Hoka worked with Strava to pull anonymized, aggregated performance data from specific geographic zones. Digital billboards then rotated messages showing local runners their collective weekly mileage, most popular routes, and average pace. The creative changed by neighborhood and updated weekly. A runner in Boulder saw Boulder stats. A runner in Brooklyn saw Brooklyn stats. The billboard became a live leaderboard of the community's own activity.
It worked because the message carried built-in social proof and self-identification. Runners already check Strava obsessively. Seeing their community's data on a public screen triggers recognition and inclusion — the billboard isn't selling a shoe, it's reflecting the runner's identity back to them. The data format also bypassed ad fatigue. Instead of another aspirational athlete image, the runner sees numbers they understand and trust. The credibility comes from Strava, not from Hoka's claims. The brand positioned itself as the gear choice of people who run seriously enough to log their miles.
A small physical-product brand can run this play without Strava's API or a billboard budget. Start with user-generated performance data you already collect. If you sell hydration packs, ask buyers to submit their race finish times or trail names. If you sell planners, collect aggregated productivity metrics customers are willing to share. Build a simple weekly digest — text or image — showing the community's collective output. Post it as organic social content or a low-cost digital ad targeted to your existing customer zip codes. The copy is just the numbers and a single-line attribution: "Last week, [Brand] users ran 1,847 miles across 12 states." No product shot needed. The proof is the data.
For hyperlocal impact, use geo-targeted Facebook or Instagram ads with the same structure. Spend $50-$150 per metro over two weeks. Create separate ad sets for each city, each showing that city's aggregated stats. A coffee subscription brand could display total cups brewed by neighborhood. A fitness accessory brand could show total workouts logged. The mechanic scales: collect the data via post-purchase survey or optional app integration, aggregate it weekly, turn it into a one-sentence claim, and run it as paid social in the geographies that generated the numbers. The customer sees their city, their activity, their tribe. The ad becomes a mirror, not a pitch.
The broader pattern is turning customer behavior into credible, ownable content. Performance data works for any category where usage is measurable and users are proud of their commitment. The brand that publishes the scoreboard becomes the brand of people who keep score.
Live community performance data on billboards delivered a 41% engagement lift by making the ad itself proof of serious use.
Editorial & Disclosure Notice: This article was written with artificial intelligence from public sources and is published without individual human review. Artificial intelligence and other digital tools are also used for research, analysis, editing, formatting, and production. Errors, omissions, outdated information, or inaccuracies may occur. References to companies, brands, products, services, organizations, or individuals are for informational and editorial purposes and do not imply endorsement, sponsorship, affiliation, partnership, or approval unless expressly stated. All trademarks and other intellectual property remain the property of their respective owners. Opinions, analysis, estimates, and commentary are informational only and should not be construed as financial, investment, legal, tax, medical, procurement, or other professional advice. Information may be corrected, clarified, or updated after publication. Corrections or removal requests: jenny@pops4.com.
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