Multi-touch attribution
Also called MTA.
Any attribution model that splits credit across more than one touch.
Multi-touch models divide a conversion between the touches before it. The common ones:
- Linear: equal shares.
- Position-based: usually 40 percent to the first touch, 40 to the last, 20 split across the middle.
- Time decay: more credit to touches closer to the sale.
- Data-driven: shares learned from converting and non-converting paths.
All of them can only split credit between touches the tool recorded. Ad views, cross-device journeys and offline touches are usually missing. See attribution models explained for one path worked through each model.
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