Attribution Concepts
Attribution only becomes useful when everyone on the team is using the same vocabulary for capture, handoff, and outcome.
Capture is not attribution
Capturing a UTM on a landing page is only the first step. Attribution is the ability to connect that captured context to a downstream outcome with enough reliability to trust the result.
That means a setup can have:
- good capture
- weak handoff
- poor final attribution coverage
The stop point is the highest-risk moment
In WP SignalStack, the stop point is where context crosses a boundary.
For Thinkific Ops, that usually means the move from the WordPress marketing experience into a Thinkific checkout, enrollment, or signup flow. If context is not carried through this point, the final outcome may still exist, but attribution quality will drop.
First-touch, last-touch, and practical reporting
These docs stay focused on practical attribution rather than theory-heavy modeling. In most teams, the immediate questions are:
- where did this enrollment come from
- which campaigns are producing revenue
- how much of our revenue is explainable
If your implementation evolves into more advanced multi-touch models, keep the same baseline discipline:
- define what is being captured
- define which touch is being reported
- define what counts as attributable
Attribution coverage
Coverage is one of the most important operational metrics in the system.
High coverage usually means:
- capture is happening consistently
- stop points are working
- outcome matching is reliable
Low coverage usually means one of those stages is breaking.
Source quality versus volume
WP SignalStack should help you evaluate both:
- volume: which sources create the most enrollments
- quality: which sources create the most revenue or strongest downstream outcomes
This matters because the loudest campaign is not always the highest-value one.