What the Bentonville Waiting Room Taught Me

What the Bentonville Waiting Room Taught Me

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What the Bentonville Waiting Room Taught Me

peq brian pozeskyBy Brian Pozesky

The first time I visited Bentonville, I went as the “quant guy.”

A major CPG had brought my company, Spectra Marketing/Bases, to do one thing: help make their case to Walmart’s category managers and convince them that a new product deserved a spot on one of the most valuable pieces of real estate in American commerce: a Walmart shelf.

The waiting room told you everything you needed to know about the power dynamic.

High-level executives who had flown in on private planes were sitting on folding chairs in a room that looked like the DMV: cinder block walls, fluorescent lights, and TVs playing midday soap operas. It didn’t matter how big your company was; in Bentonville, everyone waited.

Then the category manager called you back into a windowless room, and you had exactly 15 minutes to make your case.

We came prepared: velocity estimates benchmarked against comparable products; sophisticated planogram recommendations; geo/demographic profiles of the brand’s buyers and how they mapped to Walmart’s core shopper; trade area analysis to identify which stores were best suited for a test. And if you made it through all of that, you could start talking about pricing.

What was easy to forget in that moment was that the category manager was also being asked to take a personal risk on the product and your marketing team. Every inch of shelf space has a job to do; if your product doesn’t perform, you don’t just lose your spot. The category manager misses their velocity targets, their category growth goals, their performance review. They bet on you.

That context changed everything about what came next.

 

And the first thing brands did when they got back to headquarters was turn to their marketing teams and say: “Don’t blow this.”

At first, some of them did blow it. They threw money at the problem: awareness campaigns, promotions, in-store activations. Whatever it took to juice velocity numbers before Walmart reviewed performance.

It worked. Until it didn’t.

Category managers aren’t just looking at raw velocity; they’re asking whether your product is genuinely pulling new shoppers into the category or just cannibalizing the parent brand’s existing shelf set.

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For major CPGs, that’s a particularly loaded issue.  When you’re launching something new under a legacy portfolio, you’re not just competing against other brands; you’re under pressure to prove the new product adds net value to the category, not just net cost to the trade budget.

As the big blast of media wore out, the conversation shifted fast. Brand and trade teams started asking a sharper question:

How many incremental units did we actually drive per dollar spent?

That question, incremental units per dollar, became the organizing principle for everything: test markets; media allocation; promotional timing. It forced teams to get honest about what their marketing was actually doing versus what it was just taking credit for.

That was then.

Today, the same fundamental conversation is happening; but with 20x the marketing options and 50x the data available to make sense of it all.

Retail Media Networks have fundamentally changed the playing field: Walmart, Target, Kroger, Amazon, every major retailer now has a media business sitting on top of its retail operation. CPG brand teams can target shoppers at the moment of purchase, measure on-shelf impact, and close the loop between ad spend and sales in ways that weren’t possible even 5 years ago.

But here’s what hasn’t changed: the category manager still wants proof.

More shelf space, better placement, expanded distribution; it’s all earned with evidence. Velocity data. Shopper lift. Proof that your new product is bringing incremental demand to the category, not just reshuffling what’s already there. And proof that the person who bet on you made the right call.

The teams winning at retail right now are the ones treating their retail media spend not just as an advertising investment, but as a data generation strategy: every campaign is an opportunity to build the case for the next buyer conversation; every buyer conversation is a chance to defend the shelf space they’ve already earned.

For major CPGs launching new products, the playbook hasn’t changed as much as you might think. You still need to walk into that room, virtual or otherwise, with proof.

The difference is that today, the data exists to make that proof irrefutable. The question is whether your organization is structured to use it; or whether it’s still siloed between trade, brand, and media teams who aren’t speaking the same language.

That’s the real opportunity. And the brands getting it right are pulling ahead fast.


The challenge hasn’t changed: proving incrementality.

What’s changed is the ability to measure it.

Pēq helps brands turn retail media, trade, and marketing into one unified performance system — so every dollar spent builds the case for the next shelf win.

👉 Book a meeting with our team to see how it works.

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Losing Identity Hurts Advertising. It May Break Measurement.

Losing Identity Hurts Advertising. It May Break Measurement.

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Losing Identity Hurts Advertising. It May Break Measurement.

peq brian pozeskyBy Brian Pozesky

For more than 20 years, the advertising industry has been having the same conversation. Everyone knows the drill.

Cookies are disappearing. Mobile identifiers are restricted. Match rates are declining.

At this point, it’s background noise. 

Chrome threatens restrictions, pulls back, and then moves forward again. Safari and Firefox limit tracking without opt-ins. Apple’s App Tracking Transparency framework continues to pressure mobile identifiers and restrict cross-app tracking.

Meanwhile privacy policies have increasingly become competitive tools in the fight for marketing dollars. Identity graphs, clean rooms, retail media networks, and an ever-expanding ecosystem of probabilistic identity solutions have emerged to help marketers preserve consumer recognition and the personalization that drives performance in the face of all this flux.

But there is a second implication of this environment that receives far less attention:

If consumer identifiers are becoming increasingly unstable, measurement that depends on them is in serious trouble.

This challenge is compounded by a structural reality. According to Nielsen and Circana, roughly 85–90% of consumer-packaged goods sales still occur in physical retail stores. That leaves brands struggling to determine how marketing truly influences market-level outcomes.

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Consider how products are purchased. Households shop across multiple retailers every month. Each retailer operates within its own data environment, often with limited interoperability. Yet measurement providers continue to rely heavily on identifiers to link exposure to outcomes.

The industry is attempting to measure market-level commercial impact using datasets that capture only a fraction of consumer behavior  and that fraction can shift every time a privacy policy changes.

According to the IAB, more than 60% of digital traffic now occurs in environments where third-party identifiers are unavailable. And the composition of that 60% changes with every new or retroactive privacy update.

Even where reliable identity exists, visibility remains incomplete. Exposure-to-purchase match rates in retail media environments often hover around 20%, depending on the retailer and identity framework.

In practical terms, most purchases that occur after a campaign are never connected to the advertising exposure that may have influenced them. They simply never appear inside today’s measurement model.

Unmatched sales must be estimated from unreliable fragments. Cross-retailer halo effects disappear. Offline lift is understated. Market-level impact becomes fragmented and harder to interpret. The result is measurement that can look extremely precise while being fundamentally incomplete.

None of this means identity-based marketing is flawed. Identity remains powerful for targeting, frequency management, and channel optimization across both digital and offline environments.

85–90% of CPG sales still happen in physical retail stores

60%+ of digital traffic now occurs where third-party identifiers don’t exist

In many retail media environments, exposure-to-purchase match rates hover around ~20%

But measurement must evolve.

Fortunately, today’s toolbox is far more advanced than it was even a few years ago.

Advances in machine learning and causal inference modeling  combined with the ability to process billions of data points quickly now allow us to analyze commercial systems in ways that were previously impractical. Rather than relying on user-level matches that project upward to national purchase aggregations, modern measurement approaches can evaluate patterns of sales across a brand’s full retail portfolio of 1000s of stores, isolate the effects of media pressure, account for seasonality and day-of-week variation, and uncover the true causal drivers of growth.

McKinsey & Company has written extensively about the importance of robust causal measurement frameworks as ecosystems grow more complex and privacy constraints tighten. As retail environments remain fragmented and identifiers remain unstable, measurement must increasingly rely on models that evaluate total economic impact across every store and every channel in which a brand operates.

The opportunity ahead is not simply finding new ways to track consumers.

It is building measurement frameworks capable of understanding what truly drives growth even when individual identity is no longer reliable.


The solution: OmniChannel Performance Platform

If measurement frameworks built around identity are becoming structurally incomplete, the industry needs a different approach.

At Pēq, we’ve built the Omnichannel Performance Platform to measure the true incremental impact of marketing across retailers, channels, and markets, even when consumer identifiers are missing.

👉 Book a meeting with our team to see how it works.

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How to Talk to Your CFO About Marketing Measurement

How to Talk to Your CFO About Marketing Measurement

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How to Talk to Your CFO About Marketing Measurement

peq brian pozeskyBy Brian Pozesky

You’re in the boardroom. The CMO asks for more budget to measure marketing performance. The CFO’s face goes blank. The tension is palpable. It’s the classic showdown: CMO vs. CFO.

In one corner, we have the CMO, eager to prove that marketing isn’t just a “cost center” but a growth engine. In the other, the CFO, armed with a calculator, laser-focused on the bottom line, asking the age-old question: “Show me the money!”

Sound familiar? Yeah, we thought so. But here’s the thing: marketing measurement doesn’t need to be a battle. In fact, with the right approach (and the right tools), you can speak the CFO’s language and win them over. Let’s dive into how.

1. Speak Their Language: Numbers, Not Feelings

The first step in talking to your CFO about marketing measurement is understanding their language. While the CMO is thinking in terms of brand awareness, engagement, and customer loyalty, the CFO is thinking in terms of ROI, incrementality, and data-driven decisions.

This is where Pēq comes in. With Pēq’s standardized measurement framework, you can easily show your CFO real, actionable data—not just fluffy metrics. The beauty of Pēq’s platform is that it connects the dots across all channels and retailers, providing a unified view of performance that’s comparable, transparent, and easy to digest. No more arguing over whether Amazon’s iROAS is comparable to Walmart’s. Pēq brings clarity.

2. Show Them the Impact (Not Just the Spend)

The CFO’s job is to keep the company’s financial health in check. When the CMO asks for more budget to measure marketing, the CFO wants to know: “What’s the return on this investment?”

Here’s where you get to bring out the big guns: incrementality. It’s not just about tracking clicks and impressions—it’s about proving that your marketing efforts are driving real business outcomes.

With Pēq, you can show how every dollar spent on media contributes to actual incremental revenue.

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Imagine this: you’re sitting across from the CFO, confidently saying, “Thanks to our new marketing measurement framework from Pēq, we’ve identified a 20% increase in revenue from our last campaign—across multiple channels, with data you can trust.” Now that’s a conversation the CFO can’t ignore!

3. Demonstrate the Power of Standardization

One of the biggest pain points for CFOs is inconsistent measurement across different marketing platforms. From Facebook to Google to Amazon, every platform has its own set of metrics, making it nearly impossible to compare apples to apples.

This is where Pēq’s standardized measurement steps in. Pēq ensures that every channel—whether it’s TV, paid social, or in-store promotions—is evaluated with the same logic, attribution assumptions, and normalization techniques. This means the CFO will no longer have to deal with fragmented data or guesswork. They’ll have the peace of mind knowing that marketing performance is being measured accurately and consistently.

4. Make It About Efficiency, Not Just Spend

CMOs are often told to do more with less. You want to show the CFO that better measurement means better efficiency. Instead of guessing where to allocate your media spend, Pēq helps you optimize your portfolio. By using real-time insights, you can confidently move your budget from low-performing channels to high-performing ones—without second-guessing.

This isn’t just about throwing more money at the marketing budget. It’s about making every dollar work smarter. With Pēq, you’ll be able to say, “We cut wasted spend by 15% last quarter by reallocating to high-ROI campaigns.”

5. The Final Pitch: Speak to the CFO’s Bottom Line

At the end of the day, the CFO is all about the bottom line. They want to know how marketing will drive growth—and they need clear, reliable data to back it up.

With Pēq, you can show your CFO that measuring marketing isn’t just a luxury—it’s a necessity. Standardized, transparent measurement not only drives better marketing decisions, but also makes your marketing team more accountable and efficient. You’re not just asking for more money; you’re asking for smarter, data-driven decisions that will ultimately contribute to the company’s growth.

So, Next Time You Walk Into That Meeting…

When you walk into that meeting with your CFO, don’t just talk about how “important” marketing measurement is. Show them how it’s going to make the company money—and make the CFO look good for approving it. With Pēq, you can transform marketing measurement from a mystery into a money-making machine.

And who knows? With the right data, you might just find that the CFO isn’t the one asking the tough questions anymore. 😉


Ready to get your CFO on board?

Start with a Free Incrementality Audit and discover where your marketing is really making an impact—and where it’s just making noise.

👉 Get your Free Incrementality Audit

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Why Marketing Needs a Common Language for Measurement

Why Marketing Needs a Common Language for Measurement

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Why Marketing Needs a Common Language for Measurement

peq rikki marlerBy Rikki Marler

No More Apples to Oranges

Let’s be real: Marketing measurement today is a mess. Everyone’s speaking a different language — and wondering why no one understands each other.

One platform says your campaign drove a 3.5x ROAS.
Another says it’s incremental.
A third just shrugs and gives you a PDF three weeks late.

Welcome to the Apples-to-Oranges Era of media measurement.

So… What’s the Problem?

You can’t optimize what you can’t compare.

Marketers are being asked to make million-dollar decisions across channels that don’t speak the same language — not in metrics, not in methodologies, not in timing, not even in logic.

One brand manager is looking at iROAS.
Another’s debating attribution windows.
The CFO wants “just one number.”
And the agency? They’re knee-deep in four dashboards and a spreadsheet that looks like it was built in 1997. It’s chaotic. It’s confusing. And it’s killing performance.

The Myth of “More Data=Better Decisions”

Here’s the truth no one wants to say out loud: More data doesn’t mean better decisions.
More comparable data does.

If one retailer defines incrementality based on store lift… And another does it using branded search uplift. Then what are you actually comparing?

Hint: nothing useful.

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This Isn’t Just an Ops Problem — It’s a Growth Problem

Inconsistent measurement doesn’t just make reporting a nightmare —
It blocks scale, wastes spend, and breaks trust across teams.

  • Media teams don’t know what to optimize.

  • Finance doesn’t trust the ROAS.

  • Leadership sees “growth” — but has no idea what’s actually driving it.

It’s not that marketers are flying blind. It’s that they’re flying with 10 compasses… all pointing in different directions.

What Marketing Really Needs: A Single Source of Measurement Truth

That’s what Pēq delivers.

We standardize how incrementality is measured — across platforms, campaigns, and retailers — so you can finally compare performance without decoding five different playbooks.

👉 Same test/control logic
👉 Same incrementality framework
👉 Same definitions for lift, iROAS, CPI — everywhere

No more apples to oranges. Just apples to apples. (And insights you can actually act on.)

Why It Works

When you use one measurement language:

  • Your media mix gets smarter — because you’re not second-guessing what worked.

  • Your reporting gets faster — no more waiting weeks for a post-campaign PDF.

  • Your team gets aligned — from marketing to finance to leadership, everyone sees the same truth.

And that truth? It drives better decisions. Period.

Final Thought

The next time someone says “we saw 400% ROAS on Platform X,” ask them:
Compared to what? Measured how? Normalized against what baseline? If they don’t have answers… it’s apples to oranges all over again.

It’s time to stop guessing.
It’s time to speak the same language.
It’s time to measure what actually matters.

Ready to See ML in Action?

Get a Free Incrementality Audit and discover how ML-powered measurement could unlock your media value—across every channel.


👉 Request Your Free Audit

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Marketing Without Measurement is a Risk Brands Can’t Afford

Marketing Without Measurement is a Risk Brands Can’t Afford

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Marketing Without Measurement is a Risk Brands Can’t Afford

peq rikki marlerBy Rikki Marler

If there’s one thing I learned managing marketing measurement during COVID while at Circana, it’s this: the brands that stayed active, invested smartly, and measured with discipline came out stronger. Those who pulled back or relied on instinct alone lost momentum — and in many cases, ceded market share to those who embraced data-driven decision making.

Today, that lesson is even more critical. With economic uncertainty, evolving consumer behaviors, and an increasingly complex media landscape, brands need more than just activity — they need clarity. They need marketing measurement and attribution tools that don’t just track exposure but truly measure incrementality — the additional value each marketing dollar creates.

At Pēq, we help brands move beyond surface-level reporting and into true outcome-driven insights. We isolate what actually drives incremental sales, empowering brands to optimize in real-time instead of relying on retrospective, siloed reports. Cross-channel analysis is no longer optional — it’s the only way to see the full picture across retail media, in-store, digital, and offline activations.

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At Pēq, we help brands move beyond surface-level reporting.

We’ve also leaned heavily into AI and machine learning to power faster, smarter insights. Our platform enables brands to A/B test campaigns with live reporting, giving marketers the flexibility to adjust tactics mid-flight, not months later. Customization and flexibility are core to our model — because every brand’s strategy, category dynamics, and customer base are different.

And in a world where marketing technology can often feel opaque, Pēq is committed to transparency and trust. Our methodologies are clear, standardized, and designed to give brands complete confidence in the insights that fuel their investments.

Through this work, I’ve seen firsthand: brands who prioritize measurement, agility, and optimization not only survive uncertainty — they outperform. Those who default to old models and delayed decision-making fall behind.

That’s why we built the Pēq Real-Time AI Mix Model — giving marketers a dynamic, always-on view of incremental impact across all channels. It’s designed for brands that need scalable, global-ready solutions and a trusted partner who brings educational content and thought leadership alongside actionable insights. It’s the model I wish more brands had during COVID — and the one every brand will need to win in the next cycle of disruption.

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