E-commerce Dictionary

The rules, roles and checks that decide who owns product information, what counts as correct, and how changes are made.

A product data governance policy is a written set of rules for who owns, edits and checks product data, which standards it must meet and how errors are fixed.

A product data governance strategy is a plan that sets who owns product data, which rules it must meet and how quality is checked and improved over time.

Product data harmonization is aligning product data from different sources to one structure, one set of attribute names and one set of values.

A product data health scorecard combines product health metrics like completeness, accuracy and channel readiness into one score that shows which products are ready to sell.

A product data hub brings records from several sources into one place. It can match a supplier’s part number to an internal SKU, reconcile conflicting values and share the approved record with sales channels.

A product data ingestion strategy is a plan for how product data from suppliers, ERP systems and files enters your central catalog: which sources, which format, how often and which checks.

Product data integration connects ERP, PIM, supplier files, webshops and marketplaces so product data flows between them; the strategy decides who owns which data and how it moves.

Product data interoperability is the ability of your ERP, PIM, webshop and marketplaces to exchange product data in a shared structure without manual rework.

A product data lakehouse is a data platform that stores raw and structured product data together, combining a data lake's cheap storage with a warehouse's structure.

Product data migration is moving product information, such as SKUs, attributes, prices, categories and images, from old systems or spreadsheets into a new PIM or ecommerce platform.

A product data model (PDM) is the blueprint for how a PIM organizes product data: entities, attributes, families, variants and the links between them.

Product data monitoring is the ongoing, rule-based check of your product information for missing, wrong or outdated values before shoppers and channels see them.

Product data observability is the ongoing monitoring of product data health: completeness, accuracy, freshness and whether each channel receives what it should.

A product data onboarding portal is a dedicated platform for suppliers or internal teams to submit, validate, and manage new product information directly into a PIM system.

Product data ownership means a named person or team is responsible for keeping each part of your product data accurate, complete and up to date.

A product data ownership policy is a written agreement that names who is responsible for each type of product data, from creating it to keeping it correct.

Product data privacy means keeping confidential product information, such as cost prices, supplier terms and unreleased products, and any personal data out of the wrong hands and channels.

Product data quality gates are checkpoints where products must meet defined rules, such as required fields and valid formats, before they move to the next stage or channel.

Product data quality metrics are measurable scores, such as completeness, accuracy, consistency and validity, that show how good your product data is.

The formal blueprint defining the structure, types, and relationships of all product data elements within a PIM or specific system, ensuring consistency.

Product data security involves measures and policies to protect sensitive product information from unauthorized access, modification, disclosure, or destruction.

Product data sourcing is collecting product information from your ERP, suppliers, manufacturers and other sources and bringing it into one place, such as a PIM.

Product data standardization is applying one set of rules for names, units, formats and value lists to all product data, so every product is described the same way.

A structured plan that names who looks after which product data, which quality standards apply, and how errors are found and fixed.

Product data syndication standards are shared formats and rules, such as GS1 GDSN, BMEcat and ETIM, for exchanging product data between suppliers, retailers and channels.

A product data transformation pipeline is a series of automated steps to convert raw product data into a structured format for various channels and uses.

Product data transformation rules are instructions that change product data on its way to a channel, such as shortening titles or converting units, without editing the master record.

Checking product information against rules for completeness, format and correctness before it goes to a webshop, feed or marketplace.

A product data validation workflow is the sequence of rule checks, reviews and fixes that product data passes before it is published to a channel.

Product data versioning keeps earlier states of product records, with who changed what and when, so teams can compare, audit and restore them.

Product Data Workflow Automation involves using technology to streamline and automate repetitive tasks and processes within the product information lifecycle. It improves efficiency, reduces errors, and accelerates time-to-market for products.

A product description is the text on a product page that explains what the item is, what it does, who it is for and why it is worth buying.

A product detail page (PDP) is the page in an online store that shows everything about one product: name, price, images, specs, variants and the add to cart button.

Product discovery in ecommerce is how shoppers find products, through search, categories, filters, recommendations and channels like Google Shopping.

Product engagement is how much shoppers interact with a product, such as views, image and video use, review reads and add-to-cart clicks on its product page.

Product experience (PX) is the impression a shopper forms of a product across every place they meet it online, shaped mostly by its product content.

Product experience management (PXM) is the practice of shaping product content for each channel and audience, so shoppers get the information they need to buy.

A product feed is a structured file (XML, CSV or TSV) that lists each product's ID, title, price, stock, link and image so channels like Google Shopping can list it.

Product feed optimization is improving the product data you send to channels like Google Shopping, so more products get approved, matched to searches and clicked.

Product import/export is moving product data into a system from files or other platforms, and out again to webshops, marketplaces and feeds.