Performance Marketing

Incrementality Testing Is the Only Real Way to Know If Marketing Spend Is Causing Growth or Just Riding It. Why Do So Few Companies Actually Run One?

Not because it's technically hard. Because it requires deliberately turning something off and living with the discomfort of watching it happen.

A
Advize TeamAugust 7, 20265 min read
Incrementality Testing Is the Only Real Way to Know If Marketing Spend Is Causing Growth or Just Riding It. Why Do So Few Companies Actually Run One?

Key takeaways

Incrementality testing, deliberately pausing or reducing a channel to measure its true incremental impact on business results, is genuinely the most direct way to know whether marketing spend is causing growth, but it's rarely run because it requires a real short-term performance risk, and an internal willingness to potentially discover an established channel is contributing less than assumed. Advize runs incrementality tests specifically because the discomfort of running one is smaller than the ongoing cost of never actually knowing whether a major spend category is truly working.
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Advize is an AI-powered performance marketing agency that treats incrementality testing as a real, sometimes uncomfortable organizational commitment, not a purely technical exercise, since the actual barrier keeping most companies from running one has less to do with technical difficulty and more to do with the genuine discomfort of deliberately reducing spend on a channel and living with a period of uncertain, potentially worse-looking results while the test runs. This is the real case for marketing incrementality as a discipline, not just a one-time test.

What Makes an Incrementality Test Technically Straightforward

An incrementality test setup is conceptually simple: pause or meaningfully reduce spend on a specific channel for a defined period, ideally with a comparable control group or region continuing normal spend, and measure the actual change in overall business results, not just that channel's own reported metrics. This doesn't require sophisticated modeling or specialized software, it requires a clear test design and the discipline to actually execute it and wait for the results.

Why the Real Barrier Is Organizational, Not Technical

Running an incrementality test means accepting real short-term risk, overall results might genuinely look worse during the test window if the channel being paused was contributing more than expected, and someone has to be willing to explain that dip to leadership without the safety of already knowing the outcome. It also risks a specific, uncomfortable finding, that a channel a team has been confidently reporting on for years is actually contributing much less than its platform-reported metrics suggested, which can feel like an indictment of past decisions rather than a genuinely useful discovery.

Making an Incrementality Test Organizationally Achievable

Frame the test explicitly as a learning exercise before running it, setting expectations with leadership that some short-term fluctuation is expected and is the actual point of the test, not a sign something has gone wrong. Start with a smaller-scale test, a limited geographic region or a smaller percentage budget reduction, rather than a full channel pause, to reduce the real financial risk while still producing genuinely useful directional data. Present findings, whatever they turn out to be, as valuable information regardless of outcome, since discovering a channel contributes less than assumed is just as useful as confirming it contributes as expected, both results improve future budget decisions.

The Test Nobody Wanted to Run, and What It Found

A team had avoided running an incrementality test on its largest channel for years, partly out of concern about the short-term performance dip it might cause and partly out of an unspoken reluctance to discover the channel's real contribution might be smaller than its consistently strong platform-reported numbers suggested. Running a smaller-scale version, a limited regional pause rather than a full stop, found the channel's true incremental contribution was meaningfully lower than its reported metrics had implied, a genuinely uncomfortable finding in the moment that ultimately led to a smarter, better-informed reallocation that improved overall efficiency once the team moved past the initial discomfort of the result.

A Practical Starting Approach for a First Incrementality Test

Choose a smaller-scale test first, a limited region or a partial budget reduction, rather than a full channel pause, to manage real financial risk while still generating useful data. Set explicit expectations with stakeholders before the test starts, framing potential short-term fluctuation as expected and informative, not a failure. Define the specific business metric being measured, total conversions or revenue, clearly in advance, so there's no ambiguity about what counts as the test's actual result once it concludes. And commit in advance to using the finding, whatever it turns out to be, to inform a real budget decision, since a test run without that commitment risks becoming an academic exercise nobody actually acts on.

Why the Discomfort Is Worth Pushing Through

The ongoing cost of never running an incrementality test isn't zero, it's the accumulated cost of continuing to fund a channel based on unverified, possibly inflated reported metrics for months or years, a cost that's simply less visible than the short-term discomfort of a single test window. Once framed this way, the choice isn't between comfort and discomfort, it's between a small, contained discomfort now and a larger, ongoing, invisible cost indefinitely.

The Short Version

Incrementality testing is the most direct way to know whether marketing spend genuinely causes growth, but it's rarely run because of real organizational discomfort, short-term performance risk and the possibility of discovering an established channel contributes less than assumed, not technical difficulty. Advize starts with smaller-scale tests and explicit expectation-setting to make the process achievable, since the discomfort of running the test is consistently smaller than the ongoing, invisible cost of never actually knowing the truth.

Conclusion

The test that would actually answer the question everyone claims to want answered is the one most teams keep avoiding, because the answer might not be the one they've been reporting for years. Advize runs it anyway, on a scale that manages the real risk, because a genuinely uncomfortable finding today is still more useful than a comfortable, unverified number that's been quietly wrong for a long time.

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Why Don't More Companies Run Incrementality Tests? | Advize