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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Why CES Brands Are Rethinking How They Measure Commerce Performance in 2026

Why CES Brands Are Rethinking How They Measure Commerce Performance in 2026

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Why CES Brands Are Rethinking How They Measure Commerce Performance in 2026

peq paul van wertBy Paul Van Wert

Every January, CES sets the tone for the year ahead.

Yes, it’s where breakthrough technology is unveiled. But for brands, CES has quietly become something else: a reality check.

Behind the product launches, AI demos, and packed agendas, many conversations sound surprisingly similar. Commerce leaders compare notes and arrive at the same conclusion: We have more data than ever — and less clarity than ever.

As brands head into 2026, measurement is no longer a background function. It’s becoming a strategic fault line. And that’s why so many CES brands are rethinking how they measure commerce performance right now.

Measurement Didn’t Fail. The World Changed.

Commerce has evolved faster than the systems used to measure it. In just a few years, brands have added layers of complexity:

  • Retail Media Networks across Amazon, Walmart, Target, and others

  • DTC sites alongside marketplaces

  • Paid social, search, CTV, DOOH, and in-store activations

  • Separate teams, tools, and dashboards for each channel

Each channel reports “performance.” Each report tells a different story.

The result is not a lack of data, but a lack of alignment.

Measurement models that once worked in simpler, slower media environments now struggle to keep up with omnichannel commerce. Reporting lags reality. Optimization happens after campaigns end. And critical decisions are still made using proxy metrics that don’t reflect real business impact.

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Why 2026 Is the Breaking Point

Brands aren’t rethinking measurement because it’s trendy. They’re doing it because the pressure is real and growing. Several forces are converging at once:

Budgets are tighter.
Every dollar is scrutinized more closely than before.

Retail Media spend keeps rising.
And leaders are demanding proof that it drives incremental sales, not just channel-level ROAS.

Campaigns move faster.
Waiting weeks or months for results is no longer acceptable when optimization needs to happen while campaigns are live.

CFO expectations are changing.
Measurement is no longer just a marketing concern. It’s a business accountability issue.

In this environment, “good enough” measurement becomes a liability. 2026 demands something different.

The Shift CES Brands Are Making

At CES, many brands are aligned around the same realization: measurement must move from reporting to decision-making.

That shift looks like this:

  • From after-the-fact analysis to in-flight visibility

  • From channel silos to business-level outcomes

  • From proxy metrics to true sales lift and incrementality

  • From fragmented dashboards to a single source of truth

This isn’t about adding another tool. It’s about changing how performance is understood and acted upon.

Leading brands are asking harder questions:

  • Which channels are actually driving incremental revenue?

  • Where are we over-investing without realizing it?

  • How do online and offline activations work together?

  • How can teams optimize while campaigns are still live?

These questions define the next era of commerce performance.

What Modern Commerce Measurement Looks Like

As brands rethink their approach, a new standard is emerging. Modern commerce measurement is:

  • Fast: designed for real-time or near real-time decision-making

  • Unified: covering all channels, not just digital or retail in isolation

  • Outcome-focused: tied directly to sales lift and business impact

  • Scalable: not dependent on identity, panels, or slow manual processes

  • Actionable: built to optimize performance, not just explain it afterward

Most importantly, it reflects how commerce actually works today: interconnected, dynamic, and always on.

Where Pēq Fits In

Pēq was built for this shift. Rather than retrofitting legacy models, Pēq is designed for the speed and complexity of modern commerce.

The platform provides real-time, identity-free measurement across online and offline channels, enabling brands to quantify true incremental ROAS while campaigns are live.

By unifying performance across retail media, marketplaces, DTC, paid media, and in-store activity, Pēq helps teams move beyond fragmented reporting toward confident, data-driven decisions. Not tomorrow. Not next quarter. But while campaigns are actually running.

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Why CES Is the Moment That Matters

CES happens at a critical time.

Budgets are being finalized. Strategies are being locked. Measurement decisions made now will shape performance for the entire year.

That’s why so many of the most important conversations at CES aren’t about new technology — they’re about how to prove what works in a more complex, more accountable commerce landscape.

CES isn’t just a showcase. It’s where priorities crystallize.


An Invitation to Compare Notes

If you’re attending CES and rethinking how you measure commerce performance in 2025, you’re not alone.

This is the conversation many brands are already having — quietly, urgently, and with a clear sense that the old models no longer fit the world ahead.

If you’d like to compare perspectives, share challenges, or explore what modern commerce measurement can look like in practice, we’d love to connect during CES.

Because what happens at CES shouldn’t stay at CES — especially when it comes to performance decisions that define the year ahead.

👉 Book a Meeting

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Why Every Brand Needs an OmniChannel Performance Platform

Why Every Brand Needs an OmniChannel Performance Platform

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Why Every Brand Needs an OmniChannel Performance Platform

peq paul van wertBy Paul Van Wert

Marketing got complicated—and expensive. Channels multiplied, cookies crumbled, and “good ROAS” on one dashboard contradicted “bad ROAS” on another.

Enter the OmniChannel Performance Platform: one system that connects media, identity, and sales (online + in-store) to prove what really drives incremental revenue—and move more budget there, faster.

Why this matters right now

The ad market has never been bigger, and retail/commerce media is becoming a headline growth engine—on track to rival or surpass TV ad revenue globally as early as 2025–2026. Brands are flocking to channels with first-party data and verifiable outcomes.

Marketers cite closed-loop measurement as a top reason for shifting spend: the ability to tie exposure to a verified sale—not just a click.

New IAB/MRC retail media measurement guidelines are standardizing the basics (impressions, viewability, methodology) so buyers can compare apples to apples.

What is an OmniChannel Performance Platform?

Think of it as the performance layer that sits across your retail media, paid media, POS, and eCommerce stacks—connecting data, proving incremental lift, forecasting outcomes, and optimizing budgets automatically.

peq omnichannel performance platform

The 5 biggest benefits for advertisers

1) Closed-loop truth (not proxy metrics)

Directly connect ad exposure to verified sales (in-store + eCom) using privacy-safe matching. This replaces click-based guesswork with outcome data you can defend in the boardroom.

2) Standardized, audit-ready measurement

Align KPIs and methods to IAB/MRC guidelines so results are comparable across networks and formats. This is how you de-risk cross-channel planning and partner selection.

3) Incrementality over attribution

Move from “what happened” to “what changed because we spent.” Geo holdouts and lift tests quantify true delta, so you fund what actually creates new revenue.

4) One performance story across every channel

Unify retail media, paid social/search, CTV, and more into one source of truth—so you can reallocate to high-return pockets in real time, not at QBRs.

5) Future-proofed by first-party data

As identifiers evolve, first-party partnerships and clean measurement win. Buyers and agencies are explicitly prioritizing first-party data strategies in 2025.

How it works: The Fastest Path From Spend to Incremental Growth

 

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What “optimized investment” looks like in practice

Budget reallocation by iROAS: Shift 10–30% of spend toward placements, audiences, and networks with proven incremental lift—not just the best click-through. (Mechanism: lift testing + portfolio optimization.)

Cross-network comparability: Evaluate partners with common definitions for impression quality, viewability, and sales outcomes. (Mechanism: IAB/MRC-aligned KPIs.)

Faster planning cycles: Use historicals + current lift to forecast scenarios before you spend (e.g., “+5% to RMN A vs. CTV audience X”).

First-party advantage: Build durable measurement with retailer and publisher data relationships that close the loop, even as third-party signals fade.

Where Pēq fits

Pēq brings this together in one platform: connect data, calibrate with incrementality, forecast outcomes, and optimize the media portfolio—so every next dollar goes where it will drive verified, incremental growth.

That’s exactly what your new site promises, with “incremental ROAS” and omni-channel optimization front and center.


Quick checklist: Are you ready for OmniChannel performance?

  • Can you trace exposure → sale across retail media and paid channels? (If not, start with closed-loop integrations.
  • Do your partners report to IAB/MRC standards so KPIs are comparable?
  • Are you running incrementality tests (geo holdouts/lift) at least quarterly?
  • Can you forecast budget scenarios and update the plan weekly?

👉 Get your Free Incrementality Audit

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