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7 months ago

Attribute-Level Metrics for Attribute Enrichment Now Available!

We’re thrilled to announce an exciting enhancement to our Attribute Enrichment dashboard — attribute-level insights are now available directly within your dashboard!

Previously, catalog-wide metrics provided valuable insights into enriched attributes’ overall performance. Now, with attribute-level metrics, it’s even easier to track and analyze the performance of individual enriched attributes.

Here’s what’s new:

  • Attribute-Level Coverage: See what percentage of your products are enriched with each specific attribute.
  • Attribute-Level Precision: Track the accuracy of AI predictions for each attribute, ensuring your products are enriched with the right data.

How does it help you? Now, it’s even easier to track and analyze the performance of individual enriched attributes — everything you need is now at your fingertips in the form of clear, actionable metrics. For instance, a low Coverage percentage might trigger concerns that some products are missing enrichment, requiring manual review to diagnose the cause. With attribute-level metrics, it’s now clear that if an attribute like "Sleeve length" only has 50% coverage, this is expected since not all products have sleeves.

These metrics give you full transparency into how Attribute Enrichment is improving your product catalog and streamlining your workflow.

The default view of the Attribute Enrichment Dashboard is now set to attribute-level metrics.

Looking ahead, we plan to improve these insights by:

  • Refining the Coverage metric to reflect only the relevant portion of the catalog for each attribute.
  • Introducing filtering by product categories, so you can narrow down your focus and identify opportunities for further improvement.
  • Providing more detailed breakdowns of how enriched attributes impact user engagement, helping you understand their value even more clearly.

For any questions or assistance, please reach out to your Customer Success Manager or contact us at support@constructor.io.

Avatar of authorValentina Nochka