E-commerce Dictionary

Agentic commerce is shopping in which an AI agent searches, compares and can buy products for a person, using structured product data and open protocols.

The average amount a customer spends per order: total revenue divided by the number of orders in the same period.

Conversion rate (CR) is the share of visitors or sessions that complete a goal, usually a purchase, calculated as conversions divided by sessions times 100.

Product page CRO is the practice of testing and improving product detail pages, such as images, titles, specs, reviews and the buy box, so more visitors add to cart.

Demand forecasting in ecommerce is estimating how many units of each product customers will buy in a coming period, so you can plan stock, purchasing and promotions.

The digital shelf is every online place where shoppers find, compare and buy your products, such as webshops, marketplaces, search results and social shops.

Digital shelf analytics measures how your products appear and perform on retailer sites and marketplaces: content, search rank, price, stock, ratings and share of shelf.

Digital shelf optimization (DSO) is the ongoing work of improving how products appear, rank and convert on webshops, marketplaces and retailer sites.

Digital shelf readiness is the state in which a product's data, images and content meet the requirements of each online channel, so it can go live and be found.

A digital showroom is an online space where a brand presents its collection with rich media and full product details, so buyers can browse and order without visiting.

Direct-to-consumer (DTC) e-commerce is a model where a brand sells its products straight to shoppers through its own web shop, without wholesalers or retailers.

E-commerce discounts are price reductions, such as percentage off, fixed amount off, BOGO or free shipping, that online stores use to drive sales.

Dynamic pricing is an e-commerce strategy where product prices are adjusted in real-time based on market demand, competitor pricing, and other factors, often using PIM data.

E-commerce analytics is the process of collecting, analyzing, and reporting data related to online store performance. PIM data feeds into analytics for optimization.

An e-commerce content strategy is a plan for which content an online store publishes, who creates it, where it appears and how its effect is measured.

An e-commerce ecosystem is the set of connected platforms, tools, services and partners a business uses to sell online, plus the integrations between them.

Ecommerce merchandising is how an online store selects, arranges and presents products, through categories, sorting, search, product pages and promotions, so shoppers find and buy them.

An e-commerce personalization engine is software that changes product recommendations, search results and content for each shopper based on their behavior and profile.

Product listing optimization (PLO) is improving titles, descriptions, images and attributes of a product listing so it ranks higher and converts better on a shop or marketplace.

E-commerce search experience is how easily shoppers find products with a webshop's search bar, from typing a query to filtering and choosing from the results.

Ecommerce performance analytics is collecting and analyzing store data such as traffic, conversion rate, order value and revenue per product to decide what to improve.

An overarching plan defining how product data is acquired, managed, enriched, and distributed to achieve e-commerce business goals.

Ecommerce SEO is the work of getting an online store's category and product pages to rank in unpaid search results through keywords, product content, technical fixes and links.

Faceted search enables users to refine product listings by applying multiple filters based on product attributes. This improves product discovery and user experience in online stores.

A guided selling experience uses product information to help customers find suitable products by answering questions or applying filters based on their needs.

Headless commerce separates the storefront shoppers see from the commerce backend, which connect through APIs so each can change on its own.

A localization strategy is a plan for adapting products, content, prices and payment methods to the language, culture and rules of each market you sell in.

Multichannel marketing involves using multiple independent channels to interact with customers. It focuses on reaching customers wherever they are, maintaining consistent messaging across each touchpoint.

Ecommerce navigation is the set of menus, categories, filters, search and links that shoppers use to move through an online store and find products.

Omnichannel commerce connects webshop, marketplaces, stores and social channels with shared product, stock and customer data, so shopping feels like one experience.

An omnichannel strategy connects all your sales and contact channels, online and offline, so customers get the same products, prices and service wherever they shop.

A document that shows why a company should invest in a PIM system: the current product data problems, costs, expected benefits and risks.

PIM ROI is the return a PIM system brings compared with what it costs: license, setup, migration and training against time saved and sales gained.

Personalized recommendations are product suggestions picked for one shopper based on their behavior, such as views, purchases and searches, and on product similarity.

Product content personalization shows different titles, descriptions or images to different shoppers based on data such as location, behavior or customer type.

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.

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 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.