Dabish Digital
Analytics

Why attribution matters more than it looks

Most teams know this matters. Fewer have decided who owns it. Attribution is easy to treat as a detail, and that is exactly why it is worth a few minutes of attention.

Data you do not trust is worse than no data, because it gets quoted anyway. The teams that stay on top of it are the ones who put it on a calendar rather than a wish list.

The reason this keeps coming up

Last-click attribution overvalues the final touch. In practice this is a scheduling problem more than a technical one. It is the sort of thing that looks like polish right up until it costs you an enquiry.

No model is correct, some are useful. Where this goes wrong is almost never a lack of knowledge. If two people in the business would answer this differently, that gap is the actual problem.

Common failure modes

Use it to allocate budget, not to settle arguments. None of that requires a large budget, only a decision and someone to own it. The failure mode is not doing it wrong, it is doing it once and assuming it stays done.

What this looks like day to day

Measurement is only useful when someone has agreed in advance what they would do differently. Three things worth confirming about attribution before you move on:

  • Someone can say what the current setup is without going to look
  • Use it to allocate budget, not to settle arguments — and you know whether that is true here
  • There is a way to tell whether the last change to this helped

If you are not sure where your systems currently stand on this, it takes us about an hour to find out.