# Hoka Pulls Live Strava Data Into Billboards, Shows 8.2M Runner Stats on Streets *Running brand connects community performance metrics to outdoor advertising, turning OOH into real-time proof.* By **Jenny Huang Goodman MPA MSc MHSA, Principal** — The Stash Edge, Hako Shikin LLC. Published 2026-09-08. Canonical: https://www.pops4.com/stash/articles/hoka-2026-09-08t06-5 Subject: Hoka Tags: out-of-home, community proof, api integration, performance marketing, strava, digital ooh --- Hoka built a digital out-of-home campaign that streams live running statistics from Strava directly onto billboards, according to Marketing Dive. The brand pulled data from its **8.2 million** Strava club members and surfaced aggregated metrics — total miles run, elevation climbed, community momentum — on screens in high-traffic urban locations. The billboards updated in real time as runners logged activity. The mechanics: Hoka integrated Strava's API to feed anonymized, aggregated performance data into a digital OOH creative engine. Billboards displayed community totals alongside taglines that positioned the shoe as the choice of an active, measurable cohort. The campaign ran in cities with dense running populations, placed near parks, gyms, and transit hubs where the target audience moves through daily. This works because it replaces brand assertion with third-party proof at scale. A traditional billboard declares a product benefit; this one shows **8.2 million people** validating the product through logged behavior. The data stream functions as social proof rendered in public space — passersby see not a claim but a live scoreboard of peer activity. Strava's credibility as a performance platform transfers to the brand. The real-time element creates urgency and recency: the numbers climbing on the screen imply momentum, growth, an active community choosing this product now. The format also exploits a structural advantage of physical products in endurance categories. Runners track data. They belong to platforms. They compare. Hoka tapped an existing behavior — Strava logging — and made it visible in a medium where most brands still run static creative. The cost to integrate an API and refresh digital screens is modest compared to the credibility gain. The campaign turns customer activity into advertising content, a closed loop that rewards both the brand and the community it highlights. The steal for a small physical-product brand starts with identifying where your customers already generate measurable behavior. If you sell gear for a tracked activity — cycling, lifting, hiking, climbing — find the platform they use. Strava, Garmin Connect, MyFitnessPal, AllTrails. Most have public APIs or club features that surface aggregated stats. Create a branded club or group, invite your customer base, and let the data accumulate. Once you have a few hundred or a few thousand members logging activity, you have a number that moves. Now put it somewhere public. You cannot afford Hoka's billboard budget, but you can afford a single digital screen in a local gym, bike shop, or trailhead kiosk. Many coworking spaces, cafes, and community centers rent screen time for under **$200** a month. Work with a developer on Upwork for **$500–$1,000** to build a simple dashboard that pulls your club's aggregated stats and displays them on a loop. Show total miles, active members this week, or community challenges completed. Alternatively, take the same data and run it as dynamic creative in geo-targeted Facebook or Instagram ads. Use your club's stats as the headline: "**1,240 runners** in Portland logged miles in our shoes this week." Update the number weekly. The ad becomes proof, not pitch. Cost per impression will be a fraction of OOH, and you control targeting to the zip codes where your customers live and train. The broader pattern here is that customer behavior data, when made visible, functions as a credibility engine. Physical-product brands in performance categories sit on proof — usage logs, repeat purchases, verified reviews — that most never surface in advertising. Hoka's move shows the value of pulling that proof out of the platform and into the physical world where the next customer sees it. The mechanism scales down: any brand with a measurable, active user base can turn activity into advertising content. ## The takeaway Pull live customer data from tracking platforms and display it publicly — proof replaces pitch. --- ## 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