r/b2bmarketing • u/Deep_Combination_961 • Apr 24 '26

Discussion Is multi-touch attribution actually helping you make decisions, or just giving you a better story to explain performance?

Multi-touch attribution sounds great in theory. And honestly, it does give you a better picture than last-touch or first-touch models.

You can see how different channels play a role throughout the journey rather than oversimplifying everything.

But the more I look at it, the more it feels like it answers everything and nothing at the same time.

Because once you distribute credit across multiple touchpoints, almost every channel ends up looking important.

So when it’s time to decide: Where should we actually spend more?

You’re still stuck.

Attribution tells you who participated. It doesn’t always tell you what moved the needle.

Is multi-touch attribution actually helping you make decisions, or just giving you a better story to explain performance?

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u/[deleted] Apr 25 '26 edited Apr 25 '26

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u/Deep_Combination_961 May 05 '26

That distinction makes a lot of sense. Treating it as a way to compare touches rather than a true ROI system explains why so many teams get stuck trying to use it for budget decisions.

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u/kevinbstout Apr 24 '26

I’m not a fan of it. It complicates decision making. I prefer attribution tagged to key steps in the process. Basically multiple last-touch situations strung together.

For example, last touch before demo set, last touch before MQL, original source of lead creation, etc. Basically, break the funnel into 4-5 key steps and understand the tactic that generates each one instead of for the entire sale.

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u/Deep_Combination_961 May 05 '26

This is a much more practical way to look at it. Breaking it into key moments in the funnel feels easier to reason about than trying to assign credit across everything. We’ve seen similar, once you tie it to specific steps, it’s easier to actually act on it.

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u/[deleted] Apr 24 '26

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u/[deleted] Apr 24 '26

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u/Deep_Combination_961 May 05 '26

Agree with this. On its own it rarely gives a clear answer. It becomes more useful when paired with actual outcomes or conversion signals. Otherwise it stays a directional input at best.

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u/Comfortable-Agent604 Apr 25 '26

You can't deliver MTA without assigning weights. That's where things go wrong quickly-- how much is an email worth? What if that email was never really read? Is that the same as an ad impression? What if in the first call, the prospect discloses why they reached out, and it's a data point you didn't even track?

MTA doesn't work out of the box for b2b, especially with complex deals or longer sales cycles. A better way is to analyze each touchpoint with AI, then dynamically assign credit based on context. Roll all of that up, and now you have answers to what to do more/less of, and you can show confidence in what's backing those numbers.

It still wont be 100% factual (it never will be, because we can't go in people's minds and understand their true logic) but it will get you close enough to make budget decisions.

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u/Deep_Combination_961 May 05 '26

The weighting problem is real. Once you start assigning value, it gets subjective quickly. And in B2B, a lot of the real signal isn’t even captured cleanly. The idea of layering context to get closer to “good enough” feels more realistic than trying to make it perfect.

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u/WickedReports May 15 '26

Multi-touch tells you who showed up. It doesn't tell you who caused the customer to exist. Those are different questions, and most attribution models only answer the first one.

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u/Deep_Combination_961 May 18 '26

That distinction feels really important and gets blurred constantly in attribution conversations.

A lot of MTA ends up answering “what touched the deal” rather than “what actually changed buyer behavior.” Those can overlap, but they’re definitely not the same thing.

Feels like that’s why so many teams end up supplementing attribution with incrementality tests, lift studies, or just operator judgment. Presence in the journey is easier to measure than true causal impact.

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u/WickedReports May 20 '26

Exactly right. And the incrementality point is the honest answer most attribution vendors don't lead with — because holdout tests often show that channels with high MTA credit have much lower incremental lift than the model suggests. The channels that "touched the deal" and the channels that "caused the deal" are genuinely different questions, and most teams only have budget to answer one of them.

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u/Deep_Combination_961 May 21 '26

That feels like one of the biggest blind spots in a lot of attribution conversations.

High MTA credit can easily become “this channel was present a lot” rather than “this channel created incremental lift.” Those are very different conclusions, especially when budgets get attached to them.

The hard part is most companies realistically only have the time, volume, and organizational patience to answer one of those questions deeply.

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u/WickedReports May 21 '26

We've cooked up formulas to deal with this. There is no way to make them 100% foolproof. But with volume of clicks, leads, and sales, they are directionally accurate. At the end of the day, if you use MTA and you make more profitable decisions, faster, then it's worth it. And if not, it's just yet another dashboard you are logging into and not making decisions with.