Sports Publisher On3 Tries AI Recommendations To Keep Engagement In Its Home Court

Why It Matters

AI‑driven content recommendation lets On3 monetize dwindling traffic more efficiently, turning engagement into diversified revenue streams. The model offers a blueprint for niche publishers battling audience fragmentation.

Key Takeaways

• On3 integrated Mula AI recommendations on 20 sites to boost engagement.
• AI-driven widgets prioritize ecommerce listings, then video, then editorial content.
• Partnership with RevContent adds CPC revenue when users exit On3.
• On3’s RPS model maintains steady revenue despite declining search traffic.
• Fanatics-linked merchandise sale reached $2,500 for an autographed helmet.

Pulse Analysis

Publishers across the digital media landscape are grappling with a steady erosion of traffic from traditional search and social channels. As audiences fragment, the focus has shifted from sheer pageviews to extracting maximum value from each visitor. On3’s adoption of Mula’s recommendation engine exemplifies this pivot, using first‑party data to serve hyper‑relevant stories, videos, and commerce offers that keep users within the brand’s ecosystem. By treating revenue‑per‑session as the core metric, the company aligns content delivery with monetization goals, a strategy increasingly common among data‑savvy publishers.

Mula’s AI platform distinguishes itself by dynamically ordering recommendation widgets based on real‑time engagement signals. Ecommerce listings—sourced from the Fanatics partnership—receive top priority, followed by vertical video content, with editorial pieces filling the remainder of the feed. When the algorithm predicts a user’s attention is waning, it seamlessly inserts native ads from RevContent, generating cost‑per‑click income without disrupting the user experience. This layered approach not only smooths revenue volatility but also leverages cross‑publisher networks that would be difficult for a single outlet to negotiate independently.

The On3 case signals a broader shift for niche and vertical publishers seeking sustainable growth. By coupling AI‑driven personalization with diversified revenue streams—ecommerce, video, and native advertising—publishers can offset declining organic reach while delivering tangible value to readers. As the industry continues to experiment with first‑party data and machine‑learning models, the RPS‑centric framework demonstrated by On3 may become a standard playbook for monetizing highly engaged, community‑driven audiences.