Revelyst is a family of outdoor performance brands built to serve enthusiasts across categories and geographies. Its portfolio of more than 30 brands includes notable names like Fox Racing, Bell Helmets, CamelBak, Giro Sport Design, Simms Fishing, Camp Chef, and Bushnell Golf. Despite the range of brands, Revelyst seeks to execute a unified advertising strategy around the world, especially as AI and agentic commerce change the way people shop.
“Revelyst is a portfolio of iconic outdoor brands, and our goal is to make sure every consumer can discover the right product, in the right channel, with consistent brand storytelling and accurate product data,” said Tari Huddleston, Global VP Digital & Ecommerce at Revelyst.
Revelyst is a portfolio of iconic outdoor brands, and our goal is to make sure every consumer can discover the right product, in the right channel, with consistent brand storytelling and accurate product data. ”
That portfolio and ambition led to Fox Racing’s early partnership with Feedonomics. Initially, Fox Racing came to Feedonomics to reduce engineering overhead, move faster on new channels, and keep product content consistent in North America and seven new EMEA markets.
As the business evolved into a portfolio of brands, the scope widened: seven brands now rely on Feedonomics to operate in 14 markets with shared standards, centralized visibility, and repeatable playbooks. The relationship between Revelyst and Feedonomics has grown deeper along the way.
“What has stood out about Feedonomics is the partnership. Their team is proactive, solution-oriented, and focused on what is right for our brands and our business—not just on implementing a tool,” Huddleston said.
“They work closely with our regional and digital teams to understand the challenge, evaluate the options, and recommend the path that creates the most value for Revelyst,” Huddleston said.
What has stood out about Feedonomics is the partnership. Their team is proactive, solution-oriented, and focused on what is right for our brands and our business—not just on implementing a tool. They work closely with our regional and digital teams to understand the challenge, evaluate the options, and recommend the path that creates the most value for Revelyst. ”
What began as a solution for faster feed management now underpins Revelyst’s broader commerce strategy—centralizing data operations across brands and regions, accelerating launches, improving quality, and preparing for AI- and LLM-driven discovery.
Scaling new markets with less engineering lift
Before Feedonomics, seemingly small changes to the product catalog—adding an attribute, adjusting a title—relied on a long developer queue and inconsistent release cycle. But as Fox Racing worked with Feedonomics to improve its efficiency in North America, the business saw a path to expansion that wouldn’t bottleneck on engineering.
Centralizing feed data and relying on Feedonomics full-service feed management gave marketers the speed to launch, test, and iterate without asking developers to rebuild pipelines for every channel or market nuance.
“Once we proved the value of Feedonomics in North America, it became much easier to build alignment with our European team. We were able to move quickly, expand into new markets, and enable functionality that had not previously been available,” Huddleston said.
Once we proved the value of Feedonomics in North America, it became much easier to build alignment with our European team. We were able to move quickly, expand into new markets, and enable functionality that had not previously been available. ”
That combination—lower engineering overhead and repeatable launch mechanics—made expansion a matter of process, not a reinvention. The same templates and governance now scale across brands, regions, and channels.
“The impact has been meaningful. Outside of the occasional raw data enhancement, we have largely removed the need for developer support on day-to-day feed maintenance and updates, freeing more than 100 hours of development time each year for higher-priority initiatives,” Huddleston said.
Proactive, full-service partnership
Feedonomics operates as an extension of Revelyst’s digital team, with proactive monitoring, fast triage, and collaborative problem-solving across channels and regions. As new feed managers and account managers rotate in, handoffs are smooth because the team documents and internalizes Revelyst’s strategy, brand rules, and roadmap. New counterparts arrive already briefed, propose improvements early, and stay aligned with seasonal priorities and launches.
That continuity matters whether the task is debugging a channel-specific issue, shaping a schema for a new channel, or testing content for an emerging discovery surface. Revelyst gets a single point of accountability and a partner that measures success by brand outcomes.
“We value Feedonomics as an extension of our team. Whether we need to edit data, troubleshoot an issue, or solve for a new channel requirement, they partner with us to get to the right outcome. That level of strategic support is different from providers that only offer technical support,” Huddleston said.
We value Feedonomics as an extension of our team. Whether we need to edit data, troubleshoot an issue, or solve for a new channel requirement, they partner with us to get to the right outcome. That level of strategic support is different from providers that only offer technical support. ”
That trust explains why Feedonomics remains a key pillar of Revelyst’s commerce strategy as the portfolio grows and discovery evolves.
Centralized visibility and quality assurance
As Revelyst looked to expand its brand presence across more markets, maintaining consistency and control over its product data was crucial. Fragmented data operations make it hard to diagnose issues, keep messaging on-brand, or apply changes globally.
With Feedonomics’ best-in-class feed management platform, Revelyst can inspect raw inputs, review transformed outputs and monitor channel-specific exports in one place.
“Feedonomics gives us visibility into the full data flow—from raw inputs to transformed data to channel exports—in one place. That makes it easier for our teams to find what they need, diagnose issues quickly, and share actionable information without relying on technical resources for every request,” Huddleston said.
Feedonomics gives us visibility into the full data flow—from raw inputs to transformed data to channel exports—in one place. That makes it easier for our teams to find what they need, diagnose issues quickly, and share actionable information without relying on technical resources for every request. ”
With centralized visibility and alerting, the team addresses problems before they impact campaigns, and applies brand and compliance changes once—then propagates them everywhere. The result is tighter quality control, fewer surprises, and faster collaboration across merchandising, marketing, and ecommerce.
The present and future of commerce: AI-first discovery
AI- and LLM-driven search on channels like Perplexity, ChatGPT, and Copilot is reshaping how consumers find products. Revelyst is leaning in early, using Feedonomics to make structured content the foundation of discovery while also syndicating the unstructured context that LLMs need to understand products and intent.
“We are using Feedonomics to create greater brand and product consistency across emerging discovery channels, including AI-driven search, so our products remain accurate, findable, and aligned with how consumers are looking for information,” Huddleston said.
We are using Feedonomics to create greater brand and product consistency across emerging discovery channels, including AI-driven search, so our products remain accurate, findable, and aligned with how consumers are looking for information. ”
That readiness comes from two complementary motions. First, Feedonomics continues to optimize structured data—taxonomy, attributes, availability, and pricing—because LLMs still reward clean structure. Second, the team is working with emerging AI platforms to deliver feeds and context that help models answer richer questions about use cases, fit, and performance.
“Structured data remains critical, but AI discovery also needs context. Feedonomics is helping bridge that gap by supporting both the structured product data and the richer content signals that improve the quality of search results,” Huddleston said.
Structured data remains critical, but AI discovery also needs context. Feedonomics is helping bridge that gap by supporting both the structured product data and the richer content signals that improve the quality of search results. ”
By treating AI as a present-tense channel rather than a future experiment, Revelyst protects its brand voice, improves findability, and positions its catalog for the next generation of discovery.
