Micro-conversion
A small tracked step on the way to the real goal: email captured, video watched, add-to-cart. Progress you can measure before anyone pays.
See it
What it is
The macro-conversion is the thing you actually want: purchase, paid signup, booked call. A micro-conversion is any smaller tracked step on the way there: email captured, pricing page viewed, demo video watched past 50%, add-to-cart, first project created, checkout started. Each one is an event you can count long before money moves.
Reach for them when the real goal is rare. If 40 people a month buy, a test on purchases is slow and blunt: it can still land, given a long enough run or a big enough effect, but you will wait months to learn anything. Meanwhile 900 people a month hit 'add to cart', and that signal moves fast enough to steer this week's decisions. They also show you where the funnel bleeds: strong add-to-cart with weak checkout-start is a shipping-cost problem, not a headline problem. In practice these are GA4 events, PostHog events, or whatever your analytics tool calls a custom event.
Gotcha: a micro-conversion is a proxy, and proxies drift. You can double email signups with a juicier lead magnet and end up with a list that never buys. Before optimizing one, check that it actually correlates with revenue, and keep the macro number as a guard rail on every test.
Ask AI for it
Map the micro-conversions for this funnel and instrument them. List every meaningful step between landing and purchase (scroll to pricing, video 50%, add to cart, checkout start, coupon applied), give each a snake_case event name and the properties worth capturing, add the tracking calls to the relevant components, and output a funnel table with the drop-off between consecutive steps so I can see where it leaks.