# Hoka targets runners with Strava performance data on digital billboards, lifts awareness 14%

*The brand matched aggregated running stats to billboard timing, turning OOH into a performance scoreboard for active joggers.*

By **Jenny Huang Goodman MPA MSc MHSA, Principal** — The Stash Edge, Hako Shikin LLC.
Published 2026-09-03.

Canonical: https://www.pops4.com/stash/articles/hoka-2026-09-03t21-1
Subject: Hoka
Tags: out-of-home, audience targeting, real-time marketing, strava, athletic gear, geo-fencing

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Hoka fed Strava running data into digital out-of-home screens, displaying real-time statistics—distance, pace, popular routes—to runners as they passed by, according to Marketing Dive. The campaign lifted brand awareness **14%** among the targeted cohort and drove a measurable uptick in store visits near the billboard locations.

The mechanics: Hoka licensed anonymized, aggregated activity data from Strava, which tracks millions of runs logged by users. The brand identified high-traffic running corridors and installed digital OOH in those zones. Screens updated hourly with stats pulled from recent local activity: total miles logged that week, average pace on a nearby trail, or the number of runners who hit a certain segment. The creative acknowledged the runner watching—"You ran **42 miles** this week. Nice work"—without requiring individual opt-in.

It worked because the message arrived at the exact moment the audience was in the behavior. A runner cooling down after a six-mile loop sees a billboard celebrating the **6,000 miles** logged on that path this month. The recognition is instant and specific. The runner associates the brand with the identity they are actively performing—serious jogger, data-tracker, community participant. The OOH becomes social proof and personal validation in one frame. The brand earns relevance without asking for attention; the runner was already paying it to the route and the stats.

The steal for a small physical-product brand: buy local digital OOH near a behavior cluster and tie the creative to observable, publicly available activity data. If you sell hydration packs, put a screen outside a popular trailhead. Use Strava's public segment leaderboards or aggregate heatmaps—free tools—to pull weekly mileage or elevation stats for that trail. Update the creative once a week: "This trail: **1,200 runners**, **18,000 feet** of climb this week. Stay fueled." Cost: one digital screen in a metro market runs **$500–$1,500** per week. Design three rotating frames in Canva. No API license required if you manually pull the public stats. The play costs under **$2,000** for a month and reaches the exact people using the product category in real time.

Alternatively, skip OOH and run the same mechanic as geo-targeted Instagram ads. Fence the trailhead, the parking lot, or the finish line of a local 10K. Serve an ad within 24 hours of the run: "You just crushed **8 miles**—here's **20% off** the gear that keeps up." Use location data and a simple pixel. Budget: **$300–$800** for a two-week test. The recognition effect is identical.

The pattern extends beyond running. Any category where the customer generates observable data near a physical location—gym check-ins, bike commutes, dog-park visits—can run this play. The brand becomes the narrator of the behavior the customer is already tracking. You do not interrupt. You amplify.

## The takeaway

Match your message to real-time activity data at the location where the behavior happens, and the customer reads it as recognition, not advertising.

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## 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
