Why Attribution Is Hard
A typical customer might see a social post, search your name later, click an email, and finally convert from a directory listing. Each of those touched the sale, but which one earned the credit?
Attribution models are simply rules for splitting that credit. None is perfectly accurate because you can't truly observe what was decisive in someone's head. They're useful approximations, not facts.
The Common Models
Last-click gives all credit to the final touch before purchase. It's simple and common, but it overvalues the closing channel and ignores everything that built interest beforehand.
First-click does the opposite, crediting the initial discovery. Multi-touch models spread credit across several interactions, which is more realistic but harder to set up and interpret. Each model tells a different, partial story.
What to Actually Watch
Don't fixate on one model. Compare a couple of views and look for agreement: channels that look valuable across several models are probably genuinely valuable.
Also watch overall trends rather than obsessing over each conversion's path. If total results improve as you invest in a channel, that signal matters more than any single attribution label.
Using Attribution Wisely
Treat attribution as a directional guide, not a verdict. It's there to help you make better spending decisions, not to settle arguments with decimal-point precision.
A good growth partner uses attribution alongside judgment and business context, which is how CMG reads performance: looking at the whole picture rather than letting one model dictate the strategy.
Key takeaways
- Attribution assigns credit for sales across the channels a customer touched.
- No model is perfectly accurate, since you can't observe what truly drove the decision.
- Compare multiple models and trust channels that look strong across all of them.
- Use attribution as a directional guide, supported by overall trends and judgment.