Multi-Touch Attribution
Also known as: MTA, multi-touch modeling
Multi-touch attribution distributes conversion credit across several marketing interactions in the customer journey, rather than assigning it all to one touchpoint.
Multi-touch attribution recognizes that customers rarely convert from a single interaction. Instead of crowning one winner, it shares credit across the touchpoints that contributed: an awareness ad, a return organic visit, and the paid click that drove the final call.
It gives a more realistic picture than single-touch models, but it depends on connecting every interaction, which is why call attribution is essential: without it, the phone touches simply vanish from the model.
Frequently asked questions
How does multi-touch attribution handle phone calls?
A call is treated as one touchpoint among many. With call tracking feeding the journey, the call and the campaign that produced it can be weighted alongside clicks and form fills instead of being left out of the model entirely.
What are common multi-touch models?
Linear (equal credit to every touch), time-decay (more credit to recent touches), and position-based (more credit to the first and last touches) are the usual models. Each spreads credit differently across the journey.
What does multi-touch attribution mean?
Multi-touch attribution divides the credit for a conversion across the several interactions that led to it, rather than giving it all to one. It reflects how buyers actually behave, touching several ads, pages, and often a phone call before they convert.
How do you analyze multi-touch attribution?
Pick a model (linear, time-decay, or position-based), make sure every meaningful touch is tracked, including calls via call tracking, then compare how credit shifts between channels under each model. Channels that look weak under last-touch often prove their worth once the full path is visible.
Related terms
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