et's get real—marketing measurement can be a crazy buzzword stew. Attribution, incrementality, marketing mix modeling… it's enough to make anyone's head spin. But here's the good news: there's a straightforward framework that cuts through the noise and helps you actually know what's working.
The Trifecta of Marketing Measurement, a savvy architecture introduced by the agency Charlie Oscar and most recently spotlighted by a Google executive at Shoptalk. It divides marketing measurement into three bite-sized pieces that create a step-by-step journey for teams of any size and level of sophistication.
At the center of any effective marketing initiative is this essential question: Did this campaign truly move the needle—or would that have occurred even without it?
That's what incrementality is all about. It's your truth serum. For instance, suppose you are running a paid campaign with a coupon code. You notice an increase in sales. Terrific, isn't it? But would that jump have occurred even without the advertisement? Perhaps the customers were about to make purchases anyway. Incrementality testing isolates the campaign's true impact on you.
How? By testing with a test-and-control environment—dividing your audience in half where one views the campaign and one does not. How much difference there is in performance informs you about how much incremental lift the campaign actually delivered.
Example: A direct-to-consumer skincare brand tests Facebook ads in one geographic area but not another with identical demographics. If Region A realizes a 25% lift over Region B, that's your incremental lift.
Because before scaling spend, you need to have proof it's actually doing something. And no, you don't require fancy data teams—just a clean experiment. A straightforward A/B test or geo-split can tell you if your campaign is really driving lift or if it's just surfing existing demand. Without this building block of insight, you risk throwing a budget at tactics that feel good but don't deliver much return.
Incrementality guarantees that you're not confusing coincidence with causality. It's the ultimate defense against misspent spending—and the quickest means of establishing marketing confidence.
After you've established that your marketing does work, the next question is what part is working best. That's where attribution excels. It's all about giving credit where credit is due to the touchpoints that lead a customer to make a purchase.
Was the influencer's TikTok clip what made them buy? Or the remarketing email that persuaded them to shop? Perhaps both. Attribution models follow the complete customer journey and assist you in budgeting better across your marketing funnel.
There are various attribution models—first-touch, last-touch, linear, and time decay—and each share a different story. Which one is appropriate relies on your business objectives and sales process.
Example: A clothing company detects conversions following click-throughs on a Google advert, yet the same consumers initially interacted through a YouTube influencer. On a linear attribution model, both channels receive partial attribution—informing wiser investment across channels.
You can't refine your strategy if you don't know what's shouldering the most weight. With no clear attribution, you're basically flying blind—assuming which channels to spend on and which to eliminate. Attribution illuminates what's actually driving conversions so that you can optimize your blend with accuracy. It's not about knowing what worked; it's about knowing what gets the credit.
With that transparency, you can redirect your budget to high-performing touchpoints, cut waste, and build a more effective route to growth.
Now, we're going to take a step back. Marketing Mix Modeling (MMM) considers everything—your paid media, organic social, PR, email efforts, in-store promotions, even seasonality—and applies historicals to quantify how all of those components drive performance over time.
It's seeing your marketing from 30,000 feet. Sure, it's expensive and time-consuming, but it's amazingly powerful for organizations working with big portfolios or national campaigns. MMM leverages statistical models to connect marketing inputs (such as spending or media coverage) to business results (such as revenue, profit, or market share). It's not a matter of specific campaigns—it's about sustained performance and strategic planning.
Example: A CPG company uses MMM to examine 2 years of data and finds that radio advertising—though not glamorous—is consistently delivering strong ROI in rural markets. They reallocate spending away from Instagram and double down on radio for those regions.
It ties marketing to the larger business context—growth, efficiency, and profitability. By learning how each marketing lever impacts business outcomes overall, you can make more intelligent, fact-based decisions aligned with company objectives. Rather than getting bogged down in stand-alone campaign metrics, Marketing Mix Modeling enables you to prioritize initiatives that drive impact at scale.
Consider the Trifecta a staircase, not a checklist. You ascend step by step:
Begin with Incrementality: Use test-and-control setups to show your marketing is driving outcomes. This is all about establishing causality—determining if your campaign is actually having an effect or if sales would have occurred regardless. It's one of the simplest yet most effective weapons in your measurement toolkit.
Add Attribution: Recognize what touchpoints are worth their salt and shift your mix around them. Attribution informs you not only whether your marketing is succeeding, but how it's succeeding. By identifying what channels, creatives, or moments are impacting customer choices, you can make more intelligent budget choices and cut waste.
Take a step back and view long-term performance trends, informing strategic choices. Whether you're a new brand with fewer resources or an experienced marketer juggling a large portfolio, this framework meets you where you are. You don't have to do it all at once.
Begin small. Demonstrate impact. Then scale because marketing shouldn't be a guessing game.
With the right tools—and the right mindset—you can transform complexity into clarity and buzzwords into business results.