From Catalogue to Conversion: Feedonomics Data Enrichment

Why It Matters

High‑quality, AI‑ready product data now determines whether a brand appears in search, ads and marketplace listings, directly impacting revenue and cost efficiency.

Key Takeaways

• Feedonomics AI enriches product catalogs at scale, preserving brand voice.
• Enriched data lifts ad Quality Scores, cutting CPC 26% for New Balance.
• Structured product info lets AI agents surface items in search answers.
• One‑year results: 22% revenue rise, 95% ROAS increase for New Balance.
• Automated enrichment cuts manual SKU work, speeding market entry.

Pulse Analysis

The ecommerce landscape has moved beyond keyword matching to AI‑driven recommendation engines such as Copilot, Gemini and Meta AI. These agents rely on clean, machine‑readable product data to understand intent and surface relevant items. Feedonomics’ Data Enrichment service meets this demand by using large language models to generate missing attributes, titles and taxonomy, then applying an LLM‑as‑judge quality filter and a final human review. The result is a single, structured feed that can be deployed across on‑site pages, ad platforms and marketplaces without further rework, turning the product catalog into a strategic asset rather than a maintenance headache.

The real‑world impact is evident in New Balance’s partnership with agency Brave Bison. After migrating to Feedonomics, the brand consolidated all feed‑based channels, enabled four‑daily Google Merchant updates, and eliminated ads for out‑of‑stock SKUs. Within a year, advertising cost fell 38%, CPC dropped 26%, sessions rose 5%, conversion rate improved 15%, and overall revenue climbed 22% with ROAS nearly doubling. These gains illustrate how enriched data not only improves algorithmic relevance but also translates into tangible profit metrics, a critical consideration for merchants juggling tight margins and aggressive growth targets.

Looking ahead, the proliferation of AI‑powered search and voice assistants will make structured product data an even more decisive factor in digital commerce. Companies that invest in scalable enrichment can activate new channels—such as emerging marketplaces or AI chat interfaces—with a simple configuration change, while competitors stuck in manual processes will face slower time‑to‑market and diminished visibility. For brands aiming to stay competitive, adopting an automated, brand‑safe enrichment platform is less a nice‑to‑have and more a strategic imperative to capture future AI‑driven shopper interactions.