---
title: "Attribution vs incrementality, credit versus cause"
description: "Attribution assigns credit for conversions. Incrementality estimates which would not have happened without the campaign. A worked example."
canonical: https://trysincerely.com/guides/attribution-vs-incrementality
last_updated: 2026-10-18
---
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# Attribution vs incrementality, credit versus cause

> Attribution assigns credit for conversions. Incrementality estimates which would not have happened without the campaign. A worked example.

Source: https://trysincerely.com/guides/attribution-vs-incrementality

Attribution assigns credit for conversions that happened. Incrementality estimates which conversions would not have happened without the campaign. The first is an accounting rule applied after the fact; the second is a measured comparison against a world where the campaign never ran. They answer different questions, and they disagree routinely, because most campaigns mail accounts that were picked for looking likely to buy, and likely buyers convert without help.

![Bar chart of conversions per 1,000 accounts, 70 in the held-out group and 89 in the mailed group, with the top 19 marked as caused and all 89 marked as credited.](https://trysincerely.com/images/guides/attribution-vs-incrementality.webp)

*Attribution credits the campaign with all 89 conversions, while incrementality counts only the 19 above the holdout baseline of 70.*

## Two different questions

Every attribution model starts from the conversions that occurred and works backward, deciding which touch deserves the credit. Change the rule and the same campaign produces a different number, with no change in what the campaign did. That is the tell: attribution is a policy, not a measurement.

Incrementality starts before the campaign runs. Hold back a random slice of the audience, mail the rest, and compare outcomes when the window closes. The held-out group shows what would have happened anyway, so the difference is what the campaign caused. There is one number, and it does not depend on a crediting rule.

This matters most in B2B, where the best accounts hear from every channel at once. Without an incrementality read, mail gets over-credited when it lands on accounts sales was already working, and under-credited when it warms accounts that later convert through email. A [holdout](https://trysincerely.com/glossary/holdout) settles both cases the same way.

## What each model can claim

[The direct mail attribution guide](https://trysincerely.com/guides/direct-mail-attribution) covers the mechanics of each model. This is the claims ledger: what each one can honestly say, and where it stops.

| Model                        | Can claim                                               | Cannot claim                                                    |
| ---------------------------- | ------------------------------------------------------- | --------------------------------------------------------------- |
| QR codes and per-piece links | This recipient responded to this piece                  | That the piece caused the deal, or that non-scanners ignored it |
| PURLs and vanity URLs        | This visit came from the mail                           | Anything about responses that arrived through other doors       |
| Matchback windows            | This mailed account converted inside the window         | That the account needed the mail to convert                     |
| Last touch                   | The mail was the final recorded event before conversion | Anything about earlier touches, or causation                    |
| Influenced pipeline          | These deals happened near a send                        | Anything causal; it is credit assignment                        |
| Randomized holdout           | The campaign caused this many additional conversions    | Which specific conversions it caused                            |

A few of these deserve a sentence of nuance. A QR-link or [PURL](https://trysincerely.com/glossary/purl) visit is direct evidence that the link opened, not that the intended recipient responded. It undercounts attention because many recipients read the piece and reply to a rep instead. [Matchback](https://trysincerely.com/glossary/matchback) credits every converting mailed account inside its [attribution window](https://trysincerely.com/glossary/attribution-window), which makes it a ceiling rather than an estimate. Influenced pipeline, the default report on the gifting platforms, has the same construction with a friendlier name; [the platform comparison](https://trysincerely.com/vs-gifting-platforms) walks through it. The randomized [holdout](https://trysincerely.com/glossary/holdout) is the only entry that estimates the counterfactual, and its claim runs in the opposite direction: it tells you how many conversions the campaign caused without naming them.

## One campaign, two numbers

Target 2,000 accounts. At launch, lock a 50 percent holdout: 1,000 accounts mailed, 1,000 held back at random, one primary outcome, one 90-day window.

The matchback report: 89 of the 1,000 mailed accounts convert inside the window. Attribution credits the campaign with 89 conversions, an 8.9 percent rate.

The holdout baseline: 70 of the 1,000 held-out accounts convert over the same window with no mail at all, a 7.0 percent rate. Since assignment was random, roughly 70 of the mailed converters were coming anyway.

Incremental conversions: 89 minus 70 is 19.

Both numbers describe the same campaign, and both are true under their own labels. The 89 mailed accounts really did convert. But present 89 to defend the budget and you claim more than four times the measured effect. Whether the 19 clears noise on these sample sizes is a separate question; the [lift-significance calculator](https://trysincerely.com/tools/lift-significance) answers it with a confidence interval and shows the matchback ceiling next to the holdout estimate for your own counts.

## When attribution helps, and when it lies

Attribution earns its keep as an operating signal:

- A scan or per-piece link visit names the recipient and the moment, so a rep can follow up the same day.
- Response patterns show which message or offer pulled, in days rather than a full measurement window.
- Response timing shows when pieces land and interest peaks, which sets the follow-up schedule.

It lies when it drives money:

- Budget decisions. Matchback and influenced pipeline scale with how good the targeting was, not with how much the mail changed. Improving the audience inflates the credited number even when the pieces change nothing.
- Channel comparisons. Every channel's model has its own generosity. Comparing mail's 90-day matchback against paid search's last click compares two crediting rules, not two effects.

The practical arrangement is to keep both, ranked. Use attribution to run the campaign week to week. Use incrementality to decide whether the campaign should exist.

## Where Sincerely fits

Sincerely's position is that both numbers belong on the readout, under honest labels. Campaigns lock the experiment design at launch: primary outcome, measurement window, holdout percentage. Readouts label QR responses and matchback as evidence or inference, and report [lift](https://trysincerely.com/glossary/lift) with [confidence intervals](https://trysincerely.com/glossary/confidence-interval) against account-level holdouts, saying plainly when a result is not statistically ready. The design mechanics are in the [holdout testing guide](https://trysincerely.com/holdout-testing), and the [measurement page](https://trysincerely.com/measurement) shows how the labels appear in the product.

When the two numbers disagree, believe the holdout. It is the only one that saw the world without your campaign.

## Related questions

- [Direct mail attribution, what works and what lies](https://trysincerely.com/guides/direct-mail-attribution): Last-touch and influenced-revenue counting lie. Scans, matchback, and promo codes give partial evidence. Only a holdout answers what mail caused.
- [What is a holdout?](https://trysincerely.com/glossary/holdout): A holdout is the group you deliberately do not mail. Comparing them to the mailed group shows what the campaign actually caused.
- [What is matchback?](https://trysincerely.com/glossary/matchback): Matchback links mailed accounts to later CRM conversions. It shows correlation but cannot prove the mail caused the outcome.
- [Direct mail incrementality and lift calculator](https://trysincerely.com/tools/lift-significance): Compare mailed and holdout conversion rates to get absolute and relative lift, a 95% confidence interval, and how many conversions were incremental.
- [Direct mail holdout test example, from setup to readout](https://trysincerely.com/guides/direct-mail-holdout-test-example): A fictional B2B direct mail holdout test worked end to end: power check, arm sizes, outcome counts, lift with its interval, and an inconclusive variant.

---

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