6 Types of Product Information Explained

This guide covers the types of product information, sometimes called product data types, used in eCommerce, not digital information products like ebooks or online courses. A listing on Amazon needs different details than your own site. Your site needs different details than a distributor portal. A compliance filing for the EU needs something else again. All of it describes the same product. This guide breaks down the six main types, with examples from real industries, and shows how they work together in a PIM. 

Key Takeaways

  • Product information breaks down into six types: basic and identifying data, technical specifications, marketing content, digital assets, localized and channel-specific data, and compliance data. 
  • Each type serves a different audience. Technical specs serve engineers and trade buyers. Marketing content serves shoppers. Compliance data serves regulators. 
  • All six types should come from one governed source, so every channel stays consistent. 
  • AI now drafts or extracts several types of marketing content automatically, often straight from technical specs. 
  • AI shopping agents read structured product data. Gaps in any of the six types can get a product skipped or misjudged. 

 

What Is Product Information? 

Product information is any data that defines and describes a product, wherever it shows up: a warehouse picking list, a consumer product page, a regulatory filing. The scope runs wider than most people expect. It covers the GTIN on a barcode, the carbon footprint on a compliance form, a French description on an EU storefront, and a product video on a listing page. A PIM manages all of it from one governed record. 

 

6 Types of Product Information

Here’s the taxonomy at a glance, followed by a closer look at each type with cross-industry examples. 

TypeWhat It CoversWho Uses It
1. Basic and identifying data SKU, GTIN, brand, category All systems and teams
2. Technical specifications Dimensions, materials, ratings Engineering, trade buyers
3. Marketing and commercial content Descriptions, USPs, SEO copy Marketing, content teams
4. Digital assets Photos, video, spec sheets Marketing, DAM
5. Localized and channel data Translations, regional pricing Regional and channel teams
6. Compliance and regulatory data Certifications, DPP data Compliance, legal

 

1. Basic and Identifying Data 

Basic data makes a product unique and traceable across every system: name, SKU, GTIN or UPC, brand, part number, and category. Without it, no other type of product information can attach to the right record. 

  • Electronics: a Bluetooth speaker’s GTIN, SKU, brand, and manufacturer part number. 
  • HVAC: a heat pump’s model number and GS1-registered GTIN for distributor portal submissions. 

 

2. Technical Specifications 

Technical specs are the measurable, factual details that describe a product and how it performs: dimensions, materials, power requirements, ratings, and certifications like CE or UL. This data starts in engineering or manufacturing, and everything else builds on it. 

  • Construction materials: a concrete block’s dimensions, compressive strength, and fire resistance class. 
  • Fashion: a jacket’s material blend, fill power, and water resistance rating. 

 

3. Marketing and Commercial Content

Marketing content is the customer-facing copy that sells a product’s benefits and fit. It includes descriptions, feature bullets, SEO copy, and channel variants like Amazon A+ content or a wholesale summary. Marketing teams create or enrich this layer, increasingly generating it from technical specs using Pimberly’s AI capabilities. 

  • Homewares: a sofa’s D2C description, a shorter wholesale summary, and an Amazon bullet list, all from one record. 
  • Food and beverage: a protein bar’s benefit claims, rewritten for a gym app, a supermarket listing, and an export portal. 

 

4. Digital Assets

Digital assets are the visual and media files that show a product: photography, video, infographics, spec sheet PDFs, and 3D or AR models. These usually live in a DAM, or in a PIM with native DAM capability, next to the product data they belong to. 

  • Electrical and mechanical: a circuit breaker’s product photo, wiring diagram, installation video, and 3D model for an AR configurator. 
  • Apparel: a work jacket’s front and back shots, a lifestyle image, a pocket close-up, and a size guide graphic. 

 

5. Localized and Channel-Specific Data

Localized data adapts product information for a specific market or channel: translated descriptions, regional pricing and VAT, market-specific attribute names, and imagery suited to that audience. For global sellers, this layer matters as much as technical data. A product that can’t be described accurately in a market’s language can’t sell there at scale. 

  • Clothing: a dress with UK, EU, and US size labels, descriptions in French and German, and pricing in three currencies. 
  • Power tools: a drill listed at 240v for the UK, 220v for the EU, and 110v for North America, each with matching certification. 

 

6. Compliance and Regulatory Data

Compliance data covers what’s required for legal and safety certification. Think CE, RoHS, and REACH marks, hazardous materials declarations, restricted-substance reporting, and EU Digital Product Passport data, with the first mandatory passport requirement landing in 2027. This layer is increasingly mandatory. A product missing the right attributes can fail channel listing checks in the EU, UK, or US. 

  • Batteries and electronics: a power bank’s carbon footprint per kWh, recycled content percentage, and QR code linking to its Digital Product Passport. 
  • Construction: an insulation product’s CE marking, Declaration of Performance reference, and fire class for building regulations. 

 

How the Six Types Work Together 

Take a domestic boiler from an HVAC brand. The GTIN and model number are basic data. The BTU rating and flue diameter are technical specs. The installer description and the efficiency claim on the box are marketing content. The manual PDF and hero photo are digital assets. The French description for a Belgian portal is localized data. The CE mark is compliance data. One product, six types, each for a different audience. A PIM holds all six in one record and routes the right version to the right channel. Whether that data is accurate to begin with is a separate question, covered in Pimberly’s guide to PIM data quality. 

 

FAQs 

Q: What are the main types of product information?
A: Basic and identifying data, technical specifications, marketing and commercial content, digital assets, localized and channel-specific data, and compliance and regulatory data. 

Q: What is the difference between technical and marketing product information?
A: Technical information is measurable and factual, like dimensions or certifications, and comes from engineering. Marketing information is customer-facing copy built to sell, like descriptions and feature bullets. 

Q: What is compliance product information?
A: Documentation required for legal and safety certification, such as CE marking, hazardous materials declarations, and EU Digital Product Passport data, which becomes mandatory for the first product categories in 2027. 

Q: What is localized product information?
A: A product’s description, pricing, sizing, and imagery, adapted for a specific market or channel so the listing is accurate wherever it appears. 

Q: How do businesses manage different types of product information across channels?
A: Most use a PIM, which stores all six types against one product record and sends the right version to each channel automatically. 

Q: Why do AI shopping agents need structured product information?
A: An AI agent reads structured data, not a page layout. A gap in any of the six types means it skips the product or gets it wrong. 

 

Why Complete Product Information Matters 

Detailed product information pays off: 62% of shoppers say they’ll pay more for a product that offers it, per GS1 US. Incomplete or inaccurate information does the opposite, driving shoppers to abandon a purchase or think less of the brand behind it.

Human shoppers aren’t the only audience now. Gartner’s 2026 research found consumers will let AI narrow their choices, up to 31% for household goods. Far fewer, just 11%, would let it finish the purchase. An AI agent can only narrow choices using what’s structured and complete. A gap in any of the six types means a product gets skipped, not shortlisted.

Complete product information across all six types is now a commercial and AI-discoverability requirement, not a catalog hygiene task. Pimberly manages that completeness from one record. The alternative is specs in an ERP, assets on a shared drive, descriptions in a spreadsheet, and compliance paperwork in someone’s inbox.