# Hoka turned Strava running data into live outdoor billboards and drove +15% store visits

*Personalized digital out-of-home ads pulled athlete stats in real time, proving data integrations move physical traffic.*

By **Jenny Huang Goodman MPA MSc MHSA, Principal** — The Stash Edge, Hako Shikin LLC.
Published 2026-09-06.

Canonical: https://www.pops4.com/stash/articles/hoka-2026-09-06t06-2
Subject: Hoka
Tags: data integration, digital ooh, foot traffic, personalization, strava

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According to Marketing Dive, Hoka built a digital out-of-home campaign that pulled live running data from Strava and displayed personalized athlete achievements on outdoor billboards. The campaign tracked users who opted in, surfaced their stats — distance, pace, elevation — on screens near where they trained, and prompted them toward nearby Hoka retail locations. The brand reported a **15 percent increase** in store visits in the markets where the digital OOH ran, compared to control markets.

The mechanics: Hoka integrated with Strava's API to surface anonymized or opt-in athlete data. When a runner logged a session in a campaign geography, the system triggered a personalized message on a nearby digital billboard within hours. The creative celebrated the achievement — "Sarah just crushed 8 miles in Central Park" — and directed the runner to a local Hoka store to explore new models. The campaign ran in high-footfall urban corridors where Strava penetration is dense and digital OOH inventory is abundant.

This worked because it closed the loop between digital behavior and physical space. Most OOH is demographic targeting at scale. Hoka made it individual and immediate. The runner saw proof the brand noticed their effort, creating a moment of recognition that drove curiosity and foot traffic. The timing mattered: the ad appeared while the endorphin high was fresh, before the runner defaulted back to online browsing. The mechanism is reciprocal visibility — the athlete shares data, the brand gives public acknowledgment, the store becomes the next logical step.

The secondary engine: social proof. A personalized billboard is photographable. Runners posted their OOH moments to Instagram, extending reach beyond the physical placement. Hoka did not pay for that distribution. The campaign became self-amplifying because the creative was about the user, not the shoe.

The steal for a small physical-product brand: you do not need Strava or a digital billboard network. You need a platform your customers already use and a way to surface their activity in a public or semi-public format. Start with a tool like Zapier or Make to connect a data source — Goodreads for a book accessory brand, Garmin for a hydration product, Letterboxd for a film merch line — to a display mechanism. That mechanism can be a live-updating leaderboard on your website, a weekly email highlighting top users by name, or a low-cost digital screen in a partner retail location.

Run it as a month-long pilot. Recruit **50 customers** who agree to share their activity data in exchange for recognition and a **10 percent discount** code valid only in-store or at a pop-up. Use a no-code tool to pull their stats and generate a simple graphic — "Jamie logged 47 yoga sessions this month with [your product]" — then display it on your site, email it to your list, or print it as a poster at your next event. Budget: **$200** for software, **$150** for design templates, **$500** in discount liability. Track promo code redemptions and compare to your baseline conversion rate. If the recognition mechanic lifts in-store visits or repeat purchases, expand to more participants and add a physical display at a retail partner.

The broader pattern: personalization does not require AI or a seven-figure tech stack. It requires a feedback loop where the customer's behavior becomes visible and the brand responds in a format the customer can share. Hoka proved the mechanism scales to stadiums. You prove it works in a coffee shop.

## The takeaway

Live user data on public displays turns digital activity into physical store traffic when recognition is immediate and photographable.

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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
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- MCP endpoint, for AI agents: https://mcp.pops4.com/mcp
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- Catalogue: 70,000+ products, 200+ brands