{"id":5301,"date":"2026-02-25T10:11:04","date_gmt":"2026-02-25T10:11:04","guid":{"rendered":"https:\/\/marketingsatchel.com\/?p=5301"},"modified":"2026-03-17T18:52:07","modified_gmt":"2026-03-17T18:52:07","slug":"incrementality-vs-attribution","status":"publish","type":"post","link":"https:\/\/marketingsatchel.com\/de\/e-mail-marketing\/incrementality-vs-attribution\/","title":{"rendered":"Incrementality vs Attribution"},"content":{"rendered":"

Incrementality<\/strong><\/h3>\n\n\n\n

Performance marketers don\u2019t generally wake up excited to argue about attribution models. We\u2019re simply trying to figure out our revenue targets. Somehow, attribution is often the exact thing wreaking havoc on budgets from day one, especially when most of our preferred models are fundamentally misaligned with how customers actually buy.<\/p>\n\n\n\n

As marketers, we might debate the issues on things like attribution, passive vs. active revenue streams, and \u201clife in a cookie-less world\u201d, but incrementally isn\u2019t just a theoretical debate – it takes place and is grounded in real-world data for marketers, most alarmingly the loss of client revenue. Real lack of consideration for incrementally means real lack of results for our clients. In plain English, Incrementally has a cost, and our clients\u2019 campaigns suffer for it.<\/p>\n\n\n\n

Incrementality has been \u201chaving a moment\u201d as of late, due to this very factor. And it\u2019s also why certain agencies, such as PartnerCentric<\/a>, have leaned hard into incrementality as a core philosophy and an operating system for affiliate and partner programs.<\/p>\n\n\n\n

Incrementally only matters from an operational standpoint. As in, if you can\u2019t track it, it doesn\u2019t exist. This is the framework many marketing agencies have been operating under for some time. Their tools don\u2019t detect it, so it\u2019s invisible. <\/p>\n\n\n\n

Attribution models do not reward the proper behavior.<\/strong><\/h3>\n\n\n
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\"right<\/figure><\/div>\n\n\n

Most flawed attribution models share a common issue. They\u2019re not optimizing for a \u201cdata true north\u201d, but for a credit metric that doesn\u2019t actually put the correct onus on what\u2019s driving the business.<\/p>\n\n\n\n

Last-click is the biggest offender here. It tends to over-reward partners who appear late in the funnel with methods that burn out the customer AND the business, using coupon fatigue. It\u2019s possible these funnel leads are more likely to be present at the moment of conversion, and would have been purchased anyway. It\u2019s unfair to any business to shell out commission on a sale that would have happened anyway, just because last touch is one of the most common performance tracking models.<\/p>\n\n\n\n

Even multi-touch models can mess up when:<\/p>\n\n\n\n