For years, marketers have chased the perfect measurement model that tells them if their media plan worked, which tactic drove the sale, and which channel deserves more budget.

In today’s fragmented landscape, that answer is harder than ever to pin down. Consumers bounce between touchpoints, entering and exiting the journey at multiple moments. Which one actually tipped the scales?

Inside a full-service advertising agency like Brandience, the question isn’t “Which tactic get’s all the credit?” It’s “How do we measure what matters”?”

That was the focus of our Go Beyond conversation, where VP of Media Bill Brassine and VP of Digital Media Danielle Horrillo unpacked one of marketing’s most misunderstood topics: measurement and attribution.

The takeaway? The best measurement is:

Clear
Practical
Actionable

Why Measurement Feels Harder Than Ever in 2026

Modern measurement is messy because modern consumer behavior is messy. Consumers see a CTV ad, Google the brand later, scroll past an Instagram Reel, then walk into a store the next day. Toss the traditional marketing funnel out the window.

This is exactly why brands, especially small and midsized ones, can get stuck.

Just because you can measure something doesn’t mean you should. The truth is that measurement isn’t about perfection, but alignment on your objectives.

First-Party Data: The MVP

First-party data is king. It can tell you:

who your customer is

how they behave
what they buy
what they don’t respond to
and how to model lookalike audiences

And once you have it, the very first step is making sure it’s clean and well-organized. Only then can you use it for smarter targeting, better creative testing, and more accurate modeling.

Multi-Touch Attribution (MTA): Helpful, But Not Holy Grail

Privacy changes have reshaped what advertisers can measure and how platforms report it. Especially loosing one‑to‑one tracking forced the industry to rethink attribution altogether.

In that shift, multi‑touch attribution (MTA) became a tactic: a way for understanding how multiple touchpoints influence a consumer. But with privacy limits and fragmented platforms, no model can capture the full picture. MTA gives credit, or a little piece of the pie, of the conversion to that media. Therefore, multitouch attributions models offers directional insight across channels but it’s a tool, not a truth.

Media Mix Modeling (MMM): The Advanced Option

Media Mix Modeling (MMM) is powerful but it requires time, money, and clean data. It analyzes long-term trends, ingesting everything from impressions to weather to economic conditions.

The more data you feed it, the better the outcomes. MMM pulls digital, non-digital, and outside factors together to show what’s working hardest.

As Mutinex states in their “Is Your Organization Measurement Ready in 2026?” report, “Rather than attributing individual conversions to individual touchpoints, [MMM] asks a more economically honest question: given everything that was happening in the market, and everything the organization invested in, what portion of the observed outcome can be credibly assigned to each driver?”

For brands with the resources, MMM provides a macro-scale view of how the entire machine performs.

For many small to midsized brands, simpler tools (like foot traffic or correlation analysis) offer faster, cost-effective clarity.

Is Digital Media More Measurable Than Traditional Media?

Traditional media is measurable, you just measure it differently. Yes, digital platforms offer richer datapoints and precise behavioral insights but even traditional media is measurable when aligned with the right KPIs.

For brands without complex tech stacks or closed-loop sales data, some “old-school” methods still work beautifully:

1. Correlation Analysis

A timeless and effective way to match your media activity to your weekly results. It won’t give click-level granularity, but it will reveal directional impact.

2. Foot Traffic Studies

Foot traffic shows that someone saw your ad and showed up in-store. You might not know what they bought, but you know which media influenced a visit. Foot traffic bridges the digital–to-physical gap, giving brands a tangible read on whether campaigns drive behavior.

What Should Brands Actually Measure?

Here’s a practical framework our media team recommends (and uses) for measuring the right data:

1. Start with your objective, not the channel.

Awareness metrics for awareness tactics. Conversion metrics for conversion tactics. Don’t force-fit KPIs because a platform makes them available.

Learn about Brandience’s 5 rules to be nimble.

2. Select only what’s actionable.

If you can’t make a decision from it, it’s noise.

3. Match the method to your maturity.

You don’t need MMM to prove lift. You don’t need MTA to understand influence. Start small, validate, expand what you can.

4. Blend digital and traditional insights.

Because consumers don’t separate digital vs traditional worlds, neither should your tactics or measurement.

The Future of Attribution: Human-Led, AI-Supported

AI is making planning faster, data mining easier, and insights more accessible. Would we trust AI with a whole media budget? Absolutely not.

AI can enhance decisions. It can’t make them. Not when nuance, context, and brand understanding matter more than ever.

As Danyelle Horrillo, VP of Digital at Brandience, puts it in her monthly MediaPost column:

“AI is a powerful tool, but it’s still a tool. AI processes data, marketers provide meaning. Human judgement sets the objectives, applies business context, and pressure tests recommendations. Understanding where AI gets its data is a strategic responsibility.”

Measurement Is About Clarity

Just because you can measure data doesn’t mean that you should. When you stop chasing the perfect attribution model, you finally start making meaningful decisions. The best marketers aren’t measuring everything, they’re measuring the right things.

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About the authors:

As Vice President & Media Director at Brandience, Bill Brassine brings deep expertise in franchise, healthcare, retail, and restaurant media strategies and leads with a client-centric, results-driven philosophy. Connect with Bill: https://www.linkedin.com/in/bill-brassine-2513947/

Danyelle Horrillo, VP of Digital and Programmatic Media at Brandience, is a motivated, results-driven media professional with experience leading high-performance, data-driven campaigns. Danyelle brings a rare blend of technical expertise, strategic insight, and relentless dedication to results. Connect with Danyelle: https://www.linkedin.com/in/danyellehorrillo/

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Measuring Success: Attribution Models Explained by a Full‑Service Agency