What a store does before it buys. Ad launches, app installs, hiring, tech changes, and how long each one stays worth acting on.
Most lead qualification frameworks assume a conversation has already started. Outbound to ecommerce stores has no conversation yet, only observable events with dates on them. What qualification means then, and where the classic frameworks are still the better instrument.
Account based marketing assumes few accounts, long cycles and a buying committee. An owner-operated Shopify store is one person deciding in an afternoon, which breaks the motion at the root.
Website visitor identification resolves anonymous traffic on your own site. Store-level signals watch change on storefronts you have never met. The two answer different questions, and we only do one of them.
A Shopify app detector answers what a store has installed today. Outbound runs on what changed and when. Which stack facts are worth acting on, which are noise, and what we will not claim.
The list of Shopify and WooCommerce stores is not scarce. A reason to write this week is. How ecommerce lead generation changes when the population is enumerable, and where that does not help at all.
A lead score turns several observations into one number and loses the date on each. Why we surface dated buying signals instead, where scoring is genuinely the better tool, and the comparisons we refuse to publish.
We open seats one market at a time, in the order people sign up.