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Goals

Five kinds of conversion, what each one matches, and how value is attached.

A goal names something worth counting. Pick what counts, then state the condition.

Kind Matches
path A pageview whose path matches.
event A named custom event.
outbound A click on a link leaving the site.
file A download of a matching file.
revenue An event carrying an amount.

The kind is not decoration: it decides which rows are even looked at, which is why a “page reached” goal cannot accidentally match an outbound click to a URL of the same shape.

Conditions

Each kind takes an operator and a value, using the same operators as filters: is, contains, starts_with, matches and the rest.

text
Page reached      path starts_with /pricing/success
Event fired       event_name is signup
Link followed     url contains github.com
File downloaded   url ends_with .pdf
Revenue booked    any event with revenue, optionally over a minimum

An event goal can also require properties, so “signup on the pro plan” is one goal rather than a filter you remember to apply.

Value

A goal can carry a fixed worth. That is the honest way to price a conversion whose value you know but whose amount is not in the event: a newsletter signup is worth what you say it is worth.

Real money belongs in revenue on the event itself, sent from your server after the payment settled. See custom events.

Reading them

http
GET /api/stats/goals?site=1&range=30d

Each goal comes back with conversions, conversion rate and revenue for the window. The rate is conversions over sessions in the same window with the same filters, so filtering the screen to one channel gives you that channel’s rate rather than a site-wide number next to a filtered count.

goal is also a filter dimension. Filtering everything else by a goal (the pages, the sources, the countries of the sessions that converted) is usually more useful than the goal’s own row.

Goals and agents

Goals are measured on human events. A crawler cannot convert, and the goals screen does not pretend otherwise: switch the audience to agents and the goal report has nothing to say.

The equivalent question for machines is the Citation Gap: not “did this fetch convert”, but “did any of this crawling ever send a reader back”.