Product attributes describe individual characteristics of an item. For a bicycle, frame material, wheel diameter and color are attributes. Aluminum, 29 inches and blue are their values.
E-commerce Dictionary
Not sure what a term means? Find plain-English definitions, real-world examples, and practical tips for PIM, product data, and all things e-commerce.
All Terms
Product brand voice guidelines are written rules for the tone, word choice and style of your product titles and descriptions across every channel.
A product bundle is two or more products sold together as one offer, usually at a lower price than buying each item separately.
Product bundling sells several existing items as one offer at one price; kitting assembles components into a new product with its own SKU.
A product carbon footprint (PCF) is the total greenhouse gas emissions of one product over its life cycle, expressed in kilograms of CO2 equivalent (kg CO2e).
A product catalog is the structured list of all products a business sells, with names, SKUs, prices, descriptions, attributes, images and categories.
Product categorization is sorting the products in a catalog into categories and subcategories so shoppers can find them and each sales channel gets the category it requires.
Product content is all the text, images and files that describe a product online, from title and description to specs, photos, video and reviews.
Product content analytics is measuring how product titles, descriptions, images and attributes affect traffic, conversion and returns, so you know which content to improve.
A product content approval workflow is a set of review steps and statuses that product content passes before it is published to your sales channels.
A product content audit is a structured review of product data and pages to find missing, wrong or inconsistent content across your site and other channels.
Product content automation uses rules, templates and AI to create, translate and adapt product titles, descriptions and attributes without writing each one by hand.
Product content distribution is sending product titles, descriptions, attributes, prices and images from one source to every sales channel, in each channel's format.
Product content governance is the set of rules, roles and checks that keeps product descriptions, specs, images and claims accurate and consistent on every channel.
Product Content Moderation is the process of reviewing and approving product information and user-generated content to ensure it aligns with brand guidelines, legal requirements, and quality standards. It maintains brand integrity and customer trust.
Product content optimization (PCO) is improving product titles, descriptions, attributes and images so products are found more often and convert better on every channel.
Product content performance is how well your product titles, descriptions, images and specs help shoppers find, understand and buy a product.
Product content personalization shows different titles, descriptions or images to different shoppers based on data such as location, behavior or customer type.
A product content personalization strategy outlines how to tailor product information and content to individual customer preferences, behaviors, and contexts.
Product content scoring rates each product's data, such as titles, descriptions, attributes and images, against a set of rules and gives it a score that shows what to fix first.
A product content supply chain is the chain of steps that turns raw supplier data into finished product content on every sales channel.
A product content syndication network is an ecosystem of interconnected platforms and partners that facilitate the distribution of product information to various channels.
A product template is a reusable structure that sets which fields, title pattern and description sections every product in a category must have.
Product content versioning is keeping track of earlier versions of a product's texts, attributes and images, so you can see what changed and restore a previous state.
A Product Data API Gateway acts as a single entry point for external systems to access and interact with product information managed within a PIM system.
Product data accuracy is how closely your product information, such as specs, prices, GTINs and images, matches the real product the customer receives.
Product data aggregation is collecting product information from suppliers, files and systems and combining it into one consistent record per product.
Product data analytics is the analysis of ecommerce product data, such as completeness, attributes and content, alongside sales and traffic, to see what to improve.
A product data analytics dashboard shows how complete and how well performing your product catalog is, so you can see which products need work first.
A product data audit trail is a record of changes to product data that shows what changed, who or what changed it, and when.
A product data collaboration workflow is the agreed set of steps and owners that lets several teams create, check and publish product data together.
Product data compliance means your product information meets the legal, safety and industry rules that apply to each product and each market you sell in.
The set of rules your product data must meet to be legal and accepted by sales channels, such as safety, labeling, origin and identifier fields.
Product data enrichment is the process of adding attributes, specifications, descriptions, images and translations to basic product records so they are complete and ready to sell.
Product data enrichment rules are automated conditions and actions used to enhance product information with additional details, media, or formatting.
Product data enrichment services are external providers or tools that add, verify, or enhance product attributes and content beyond internal data sources.
A product data fabric is an architecture layer that connects product data spread across systems such as PIM, ERP and DAM, so teams can find and use it without moving it all into one database.
Product data federation is an approach that shows product data from several systems in one combined view, while each system keeps storing its own part of the data.