Product Attributes

What the product is. What the market says. What you decide to call it.

Three kinds of attribute on one record, joined at the UPC. Core comes off the pack. Contextual comes from the language around the product. Custom is the structure you define. Every attribute carries its source.

Three layers, and nothing counted twice

Every attribute is coded into exactly one layer and keyed to the same UPC. Add the layers together and you have the whole record, which is what makes a total mean something.

177attributes on one can of caffeinated sparkling water, coded into three layers with nothing counted twice. The same structure sits on about eighteen thousand SKUs in that category.
Core38

What the product is, read from the listing, the pack and the label. True whether or not anyone ever buys it.

identifiers · brand hierarchy · taxonomy · size and multipack · packaging · origin · titles

Core attributes →
Contextual90

What the market says about it, read from reviews, search and social. It moves as the conversation moves.

claims · ingredients · benefits · occasions · audiences · taste · the words shoppers use

Contextual attributes →
Custom49

The structure you set, applied to every UPC in the category the same way we apply our own.

your segments · your thresholds · your naming · your hierarchy

Custom attributes →

Counts are from one product and move with the product and the category. The three layers do not.

What the record is for

Attributes are worth what the decisions they support are worth.

One catalog out to every system, and it only ever grows

The attribute layer is what Data Products license and what Insights Products run on.

One maintained catalog

Core

identifiers · size · pack · titles · taxonomy

Contextual

claims · benefits · occasions · audiences

Custom

your names · your lists · your thresholds

one UPC spine

One feedEvery system below reads the same record, so they cannot disagree about what a product is.

Site search and browse

titles · taxonomy · claims

CoreContextual
Retail media audiences

benefits · occasions · audiences

Contextual
Automated product coding

category · pack · size · your lists

CoreCustom
Data as a service

every field, every layer

CoreContextualCustom
AI and agentic search

normalised values · synonyms

CoreContextual

Every run adds. No run rewrites.

The record is refreshed monthly. Each run appends what it found and carries everything before it forward, so a report built on an earlier version keeps reading the same values.

0values replaced or rewritten across all four runs on this product
2026-06-01
142
2026-07-01
154 +12
2026-08-01
163 +9
2026-09-01
177 +14
carried forwardadded in that run

What our Customers are saying

“The relationship between Coca-Cola and Harmonya has truly felt like a partnership. We treat them as an extension of our team.

Rylee Rogers

Category Sales Advisor

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“Before Harmonya, we couldn’t track competitor innovations online effectively. Now we can see how fast they’re scaling, just like we do in brick and mortar.”

Michael Mackezyk

Senior Manager, Data Capabilities

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"Harmonya is becoming a powerful unlock across our organization—it's  being explored as a cross-functional innovation, brand strategy, and product development tool."

TJ Hanel

Director Omni-Commerce Retail Media Strategy

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"Harmonya enables us to efficiently uncover deeper insights into consumer sentiment and product ingredient preferences, allowing us to identify actionable opportunities to meet shopper needs and enhance category shopability"

Kristina Foreman

Category Analyst

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"Harmonya is elevating and enhancing the way we analyze and tell stories with data. The platform enables us to uncover deeper insights that have measurable impact. The team is collaborative, innovative, and truly invested in our success!"

Savita Kharbas

Senior Director of Category and Consumer Insights

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“With Harmonya’s review data, we can quantify what customers are saying and compare which products meet their needs best—not based on what we say, but on what they say.”

Rylee Rogers

Category Sales Advisor

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"Working with Harmonya has been a game-changer – keeping us deeply engaged through new product releases while empowering us to turn complex data into clear, actionable insights."

Wendy Fan

Commercial Strategy Manager

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“What Harmonya came up with was an AI-powered solution that helped us match 2,000 missing items. That gave us visibility into $1.7 billion in annual sales we were previously blind to.”

Michael Mackezyk

Senior Manager, Data Capabilities

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"The Harmonya team has played a vital role in finding insights on texture, flavor, and nutritional content across our competitive set, identifying innovation whitespace, and sparking additional conversations as we develop concepts for our brands."

Bailey Harrison

Senior Associate Brand Manager

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See the record for your category

A walkthrough of Core, Contextual and Custom attributes on products you actually sell.