Catalog Quality Scorecard

Turn Catalog Data Into a Clear Path to Higher Conversions

Get an instant, actionable view of product content health across nine proven dimensions. Identify strengths, pinpoint gaps, and prioritize high-impact fixes to boost visibility, trust, and sales - so your catalog performs at its best everywhere.

CatalogIQ’s Dimension Quality Scorecard evaluates each product record across nine critical dimensions—accuracy, completeness, structured data, mobile optimization, and more—providing a clear, actionable view of catalog health. Using weighted indicators based on ecommerce best practices, it delivers a consistent, data-driven benchmark that highlights strengths, reveals weaknesses, and guides improvements to boost discovery, usability, and conversion.

Catalog Quality Scorecard Dimensions

Coverage

Are all required content fields present?

Coverage verifies that mandatory fields—titles, categories, images, descriptions, identifiers, and classifications—are populated. Missing basics can block syndication, suppress filter visibility, and make listings ineligible for key marketplaces.

Accuracy

Does the content reflect the actual product?

This dimension validates specs, measurements, materials, and compatibility details for correctness and traceability. Inaccurate data erodes trust, drives returns, and harms brand reputation; accurate listings build confidence and reduce support costs.

Completeness

Does the listing include everything needed to convert?

Beyond titles and descriptions, complete listings include images, bullets, specs, dimensions, rich media, and structured data. Full enrichment unlocks filters, meets marketplace requirements, and gives shoppers the confidence to buy.

Relevance

Are titles and keywords aligned with search behavior?

Relevance measures how well your language matches real shopper queries. Using high‑intent keywords in titles, descriptions, and tags improves organic visibility and boosts on‑site search and recommendation performance.

Consistency

Is formatting uniform across the catalog?

Consistency checks units, naming conventions, terminology, and formatting rules across products. Standardized inputs remove shopper confusion and help filters, search, and recommendations work reliably.

Natural Language

Does the copy engage shoppers and AI search?

This dimension evaluates tone, clarity, and conversational phrasing that resonates with humans—and the way people ask questions in voice search, chat, and generative AI—driving better engagement.

Structured Data

Is schema markup applied correctly?

We verify the presence and accuracy of JSON‑LD or Microdata that enables rich results on Google, Amazon, and other platforms. Proper schema boosts SEO, CTRs, and downstream integrations.

Content Quality

Is the content clear, unique, and persuasive?

We score clarity, readability, and originality—covering grammar, structure, and duplication. Quality copy provides enough detail for decisions, helping shoppers understand, compare, and trust your products.

Mobile Readiness

Is the content optimized for mobile users?

With mobile dominant, we evaluate layout, image resolution, scannability, and content density on small screens so shoppers can quickly find and act on key product information.

Score What Matters. Improve What Converts.

Pinpoint content gaps across 9 key dimensions - then prioritize what drives results.


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