How do you attribute a closed deal?
First-touch, last-touch and multi-touch each answer a different question about the same deal. Multi-touch is the most honest, but only if every channel gets logged.
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The short answer
- First-touch attribution credits the channel that first brought the lead in. Last-touch credits whatever happened right before the deal closed. Neither is wrong; they measure different things.
- Multi-touch attribution spreads credit across some or all of the touches in a deal. It gives a fuller picture of the journey, but only if every touch was logged: each email, call, LinkedIn message and form fill.
- Pick the model by the decision you're making. To learn which channels spark first interest, use first-touch data. To learn which activities close deals, use last-touch or multi-touch data.
- The most common failure in any model is a silent tracking gap. A real touch happened, often a phone call or a face-to-face talk, but nobody logged it. That channel then looks weaker than it is, and no one notices.
Why 'what closed the deal' is the wrong single question
Asking which channel gets credit for a closed deal assumes there's one right answer. But say a deal closes after a cold email, three follow-up calls and a LinkedIn message. It didn't close because of any one of those touches. It closed because of the sequence. First-touch attribution answers "what got this person's attention in the first place," which helps you judge top-of-funnel channels. Last-touch answers "what happened right before they said yes," which helps you judge closing activities. Neither shows you what the whole journey looked like.
Multi-touch attribution tries to answer that fuller question by spreading credit across some or all of the touches in a deal's history. But it depends on those touches existing as data. Think of a phone call nobody logged, a LinkedIn message sent outside any tracked tool, or a talk at an event. None of these show up in a multi-touch model if no one recorded them. So whichever channel carried that activity quietly looks weaker than it is.
Attribution models compared
| Model | Answers | Weakness |
|---|---|---|
| First-touch | What first brought this lead in | Ignores everything that happened after |
| Last-touch | What happened right before it closed | Ignores everything that built up to that point |
| Multi-touch | The full journey across all touches | Only as complete as your tracking |
What to check before trusting attribution data
Check that every channel your team uses gets logged against the deal record every time: email, calls, LinkedIn, face-to-face and forms. Don't stop at the channels that are easy to track on their own. A model built on missing data will point to the wrong answer with full confidence, because it can't see activity it never got.
Disclosure: SalesCrew is our product. Deals, contacts, timeline and channel activity already live in one database today. So you can run multi-touch attribution without stitching together exports from separate tools. The same rule still applies: any gap in what gets logged is a gap in your attribution, whichever system tracks it.
A tracking gap is invisible until you go looking for it
Questions
- Which attribution model is 'correct'?
- None of them is correct on its own, because they answer different questions. First-touch shows what got attention, and last-touch shows what closed the deal. Multi-touch shows what the whole journey looked like. Pick the one that fits the decision you're making.
- Can you run more than one model at once?
- Yes, and many teams do. They look at first-touch to decide where to find new leads, and at last-touch or multi-touch to decide what closes. The models don't cancel each other out. They just answer different questions from the same data.
- What breaks multi-touch attribution most often?
- Gaps in tracking break it most often. A touch happened but was never logged, most often a phone call, a LinkedIn message or a face-to-face talk. That quietly makes the channel look weaker than it is.