Dabish Digital
Analytics

The real cost of ignoring attribution

Every audit we run turns up some version of this. Nobody bills you for neglecting attribution. The cost shows up somewhere else.

More dashboards rarely produce more decisions. Anything you cannot measure here, you are deciding by taste, which is fine as long as everyone knows it.

Where the cost lands

  • Time spent on work that should not have been necessary
  • Enquiries that quietly never arrive
  • Last-click attribution overvalues the final touch
  • Rework, once the problem is finally visible

No model is correct, some are useful. The teams that handle this well are rarely the ones with the biggest budgets. If two people in the business would answer this differently, that gap is the actual problem.

What to do next

Use it to allocate budget, not to settle arguments. Small and consistent beats large and occasional here. The practical test is whether someone new to the project could tell, in a minute, that it had been handled.

What this looks like day to day

Data you do not trust is worse than no data, because it gets quoted anyway. Three things worth confirming about attribution before you move on:

  • Someone can say what the current setup is without going to look
  • Last-click attribution overvalues the final touch — and you know whether that is true here
  • There is a way to tell whether the last change to this helped

Worth checking on your own setup before it becomes someone else's problem to fix.