---
title: "How Enriched Product Attributes Improve Product Discovery"
slug: "enriched-product-attributes"
updated: 2025-12-18T08:55:19Z
published: 2025-12-18T08:55:19Z
---

> ## Documentation Index
> Fetch the complete documentation index at: https://docs.mapp.com/llms.txt
> Use this file to discover all available pages before exploring further.

# How Enriched Product Attributes Improve Product Discovery

## Overview

Enriched Product Attributes are generated from your standard product catalog using styling expertise and machine-learning models, converting technical specifications into shopper-friendly language through a three-layer attribute model:

- Physical Attributes (e.g., color, sleeve length, fabric)
- Contextual Attributes (e.g., occasion, season, trend)
- Derived Attributes (e.g., vibe, wardrobe, feel)

They describe why, when, and for whom the product is suitable, bridging technical data with shopper understanding.

![](https://cdn.document360.io/554b9b98-6720-4d8b-9919-c7b203d72648/Images/Documentation/image.jfif)

The product shown below demonstrates how enriched attributes are applied in practice.

**Attribute Breakdown**

| **Physical Attributes** | **Contextual Attributes** | **Derived Attributes** |
| --- | --- | --- |
| Embellishment – Glitter Fit – Loose Predominant Color – Gold | Occasions – Casual, Smart Casual, Evening Season – A/W 2025 | Wardrobe – Highlight |

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## Application Areas

Enriched attributes can be used across several areas of your product experience. Typical application areas include:

- **External****Search******(SEO / AEO)**:** Use enriched attributes in structured data and metadata to better align your content with user queries.
- **Paid Ads:** Use enriched attributes in your product feeds and keyword inputs when setting up paid campaigns.
- **Onsite Search****& Navigation:** Use enriched attributes in onsite search, filters, and product grouping.

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## Benefits

- **Improved Product Discovery**: Enriched attributes make it easier for shoppers to find relevant items.
- **More Accurate Results**: Search outcomes align better with shopper intent thanks to contextual language.
- **Higher-Quality Traffic**: Enriched product data supports performance across organic and paid channels.
- **Reduced Bounce Rates**: Clear, context-rich details help users understand products faster and continue browsing.

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## Integration

Product attribute enrichment is managed by Mapp’s Style Team. As a retailer, you simply provide your standard product catalog. From there, the Style Team, supported by machine-learning models, generates the enriched attributes for you.

For questions about availability, setup options, or next steps, please contact your Account Manager.

For a complete integration guide, please visit our [developer documentation](/v1/docs/mapp-fashion).

Answer Engine Optimization - the process for optimizing content for AI-driven search results.

## Related

- [Onboarding Steps](/mapp-fashion-onboarding-steps.md)
- [Prerequisites for Mapp Fashion Onboarding](/mapp-fashion-prerequisites.md)