Attribution

Case Study: Redefining Product Data Attribution with Harmonya

Feature Image
Harmonya Customer
Leading Grocery Retailer
Non-Informative Labels
71% Fewer
Product Categorization
22% Better
New Attributes
14
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Table of Contents

The Challenge

A leading U.S. retailer struggled with fragmented product data and vague labels across key attributes affecting shopper segmentation and category classification. This limited their ability to spot trends, tailor assortments, and make confident decisions about product performance. Their internal attribution methods were also rigid and slow to evolve with changing market needs.

The Approach

The retailer partnered with Harmonya, utilizing its AI-powered Attribution Management Platform to improve data structure, relavance, and speed. The solution included:

  • Replacing non-informative labels with clearer, consumer-relevant language
  • Increasing attribute granularity for improved segmentation and trend analysis
  • Adding newly surfaced, high-signal attributes based on consumer behavior
  • Automating attribution for newly listed products across their catalog

With Harmonya’s contextual AI processing, the retailer moved beyond static datasets, gaining dynamic insights tied directly to real-world sales and consumer behavior.

Key Results

1. 71% Reduction in Non-Informative Labels

Harmonya’s advanced AI-modeling improved specificity in how shopper groups and product traits were defined.

2. 22% Increase in Category Precision

Products were reclassified using emerging behavioral and contextual cues, not just legacy taxonomy.

3. Identification of 14 New Product Attributes

New flavor profiles and emerging consumer preferences were uncovered, presenting growth opportunities.

4. 72-Hour Turnaround to Attribute New Products

New SKUs were attributed within three days of detection, enabling faster insights and action.

The Impact

The retailer gained:

  • Smarter Strategic Decisions: Tighter linkage between product-level data and business performance
  • Faster Response to Change: Real-time enrichment helped them adjust as new shopper patterns emerged
  • Insight-Driven Growth: The addition of fresh, high-signal attributes opened up new category opportunities

Conclusion

By reducing data noise, surfacing actionable insights, and aligning product attributes with real-world performance, Harmonya’s Attribution Management Platform transformed the retailer’s product data challenges into opportunities. The retailer achieved precision and agility in product data management, securing a competitive edge in a fast-paced marketplace.

Learn more about Harmonya’s Attribution Management Platform here.

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