32 terms, written to answer the question directly — no
padding, no vendor spin.
Automated email or SMS sent to shoppers who added items but didn't check out.
Total revenue divided by number of orders.
The marketplace of third-party extensions around a platform — Shopify's App Store lists 16,000+.
Assigning revenue credit to marketing channels.
A triggered email/SMS sequence that runs from customer behavior — welcome series, abandoned cart, post-purchase, win-back — rather than being sent as a one-off campaign.
Marketing spend divided by new customers acquired.
The share of shoppers who complete purchase after starting checkout.
The rate at which subscribers cancel.
Whether sent emails actually reach inboxes instead of spam folders.
Automated recovery of failed subscription payments — retrying cards, updating expired ones, emailing customers.
The platform that sends a brand's marketing email — Klaviyo, Omnisend, Mailchimp.
Customer data a brand collects directly — orders, email engagement, quiz answers — as opposed to third-party ad-platform data.
Structuring content so AI systems (ChatGPT, Perplexity, Google AI Overviews) can extract and cite it: answer-first layout, clean tables, dated facts, disclosed methodology.
Star ratings and price information shown directly in Google search results, powered by structured data (schema.org markup) on the page.
Separating the storefront front end from the commerce back end, connected by APIs — custom site in front, platform (Shopify, BigCommerce, Medusa) behind.
Points, tiers, or store credit rewarding repeat purchase, run on apps like Smile.io or LoyaltyLion.
Total profit expected from a customer across all their orders.
A loyalty metric from asking customers how likely they are to recommend the brand (0–10).
What the payment provider charges per transaction (typically ~2.5–2.9% + $0.30 online in the US).
A percentage some platforms charge per sale on top of card processing when you use an outside payment provider — e.g.
Rewarding existing customers for bringing new ones ('give $10, get $10').
An embeddable component that displays star ratings and customer reviews on product pages.
Splitting an email/SMS audience into groups by behavior or attributes (repeat buyers, high AOV, lapsed 90 days) so each gets relevant messaging.
Marketing via text message — campaigns and automations like cart recovery or shipping updates.
Evidence that other customers bought and liked a product — reviews, ratings, UGC, testimonials — used on store pages to increase trust and conversion.
Identifying a site's tools from public signals: script tags, CDN hosts, cookies, DNS.
The API a platform exposes for building custom shopping experiences — product data, carts, checkout — used in headless builds and increasingly by AI shopping agents..
Selling on recurring schedules (replenishment, memberships, boxes).
US rules governing marketing text messages: explicit consent before texting, clear opt-out, quiet hours.
The set of tools running a store: platform, email/SMS, reviews, subscriptions, analytics, support, shipping.
Photos, videos, and posts created by customers rather than the brand, typically collected through review requests or social hashtags and displayed in galleries on product pages.
Offering a bigger or complementary purchase at product, cart, or checkout stage ('add socks?', 'upgrade to the bundle').