Email Channel Attribution Explainer
Attribution decides whether email looks like a cost center or a growth engine. The model choice matters more than the data.
| Model | Credit rule | Pro | Con |
|---|---|---|---|
| First-touch | 100% to first email | Rewards top-of-funnel work | Under-credits nurture and meeting-setting emails late in cycle |
| Last-touch | 100% to last email | Simple | Massively over-credits the final email; first-touch awareness gets zero |
| Linear | Equal split across all touches | Honest about multi-touch reality | Treats a critical demo-booking email same as a no-impact newsletter blast |
| Time-decay | Heavier weight to recent touches | Reasonable middle ground | Decay constant is a judgment call; results swing on parameter choice |
| U-shaped (40-20-40) | 40% first, 40% last, 20% split middle | Rewards both awareness and conversion | Hard-coded weights don't reflect actual influence |
| W-shaped (30-30-30-10) | Adds opportunity-creation as third anchor | Better for long B2B sales cycles | More parameters to tune; data quality matters more |
| Data-driven (Markov / Shapley) | Algorithmic per-touch weight from path analysis | Reflects actual influence in your data | Needs scale; under ~500 closed-won deals the model overfits noise |
For most B2B teams: start with U-shaped, move to data-driven once you have 500+ closed-won deals with clean touch data.
You know the rule. See where you sit against it.
Reference pages tell you the benchmark. Outsolvi tells you whether your team is above or below it. per-rep, per-deal, per-week. and which behavior changes move the number. From $7/user/mo yearly.
See your numberCompares first-touch, last-touch, linear, time-decay, U-shaped, W-shaped, and data-driven attribution with worked examples on the same deal.
Setting up revenue attribution. Defending an email program's budget at a board review.
FAQ
Which attribution model should I start with?+
U-shaped is a reasonable default for B2B: 40 percent to the first touch, 40 percent to the last, and 20 percent split across the middle. It credits both the awareness work and the conversion without needing much data.
When is data-driven attribution worth it?+
Once you have roughly 500 or more closed-won deals with clean touch data. Below that, a Markov or Shapley model tends to fit noise and gives you confident-looking numbers that move for no real reason.
Does this calculate attribution for my deals?+
No. It's a comparison table of seven models with the credit rule and the trade-off for each. The actual attribution has to happen in your CRM or your analytics stack.
Keep going
Articles, glossary entries, and other tools on the same topic.
Nate built Outsolvi after watching every email-tracking tool he had ever used lie to him about opens. Outsolvi runs Tier 1 to 5 confidence scoring on every open, native in Outlook and Gmail, so the number on the dashboard is one a rep can actually act on.
We update these pages when the underlying mechanics change. new mailbox-provider rules, new tracker behavior, new measurement gaps. The dates above are real revisions, not auto-touches.