In-Store Retail Media: Strategies to Monetize Retail Comments Off on In-Store Retail Media: Strategies to Monetize Retail 565

Alice Wonders13 de May de 2026 19:2519 de October de 2026

retail media no PDV com experiência digital interativa no varejo físico

Retail media at the POS is transforming brick-and-mortar retail into an ecosystem of media, data, and monetization. More than an exposure channel, the point of sale now operates as a strategic platform capable of generating incremental revenue, personalizing experiences, and strengthening the connection between brands and consumers.

This shift requires a significant change in mindset: it’s not just about installing screens or creating new display spaces, but about building an ecosystem where data, media, and experience work in an integrated, measurable way.

For companies that have already moved past the initial stage of understanding the concept, the challenge is now more sophisticated. They need to build an operation capable of capturing high-quality data, activating campaigns intelligently, measuring impact accurately, and, above all, turning all of this into a scalable monetization model.

In this context, the POS is no longer a passive environment and instead becomes a dynamic platform, where every interaction can be interpreted, optimized, and converted into value — for both the retailer and its brand partners.

Data Architecture for Retail Media at the POS

Building a consistent retail media strategy at the point of sale depends directly on data management maturity. Unlike the digital environment, where data collection is largely structured, physical retail requires greater effort in instrumentation and integration to turn interactions into actionable information.

The big opportunity lies precisely in capturing signals that reveal behavior in context — something digital alone can’t offer with the same depth. Some of the signals that support data architecture in this environment are:

Identifying truly actionable data

In the physical environment, the relevance of data is directly tied to the ability to translate behavior into intent. Information such as foot traffic, circulation patterns, dwell time in specific areas, and interaction with products or screens provides a richer reading of the consumer journey inside the store.

When this data is combined with transactional information — such as sell-out by SKU, purchase times, and repeat purchases — it creates a solid foundation for understanding not only the end result, but also the factors that influenced the decision.

In addition, data from loyalty programs and CRM adds a layer of context that connects in-store behavior to the consumer’s history. This marks an evolution from a mass-exposure logic to a more precise approach, where retail media is targeted based on real behavioral patterns.

Structuring a data layer in the physical environment

For this data to generate value, it’s essential to build an architecture that enables its continuous capture, processing, and activation. In physical retail, this involves integrating multiple sources — sensors, cameras, POS systems, apps, and digital platforms — into a unified layer that organizes the data and makes it accessible.

This process is far from trivial, as it requires standardization, quality, and consistency, especially when the goal is to scale the operation. Building an efficient data layer involves creating clear processing flows, in which captured data is enriched, integrated with platforms such as CDPs, and made available for activation in campaigns and analyses.

Even when the consumer isn’t directly identified, it’s possible to work with behavioral modeling and segmentation based on browsing and interaction patterns. This ability to turn anonymous data into strategic insights is what drives the evolution of retail media measurement in physical stores.

Governance and LGPD as a strategic factor

Data governance in the physical environment shouldn’t be seen merely as a legal requirement, but as a strategic component of the operation — after all, taking care of data has become a fundamental responsibility in the market.

Compliance with the LGPD, with clear transparency and consent practices, helps build trust, an increasingly valuable asset in a landscape of intensive data use. Beyond avoiding risks, companies that structure their governance well can operate more securely and tap into the potential of data more efficiently.

This balance between protection and smart use is essential to sustaining retail media initiatives, especially when physical and digital channels are integrated. Consumer trust becomes a determining factor for the quality of the data collected and, consequently, for the effectiveness of media strategies.

Technologies That Enable In-Store Retail Media

And of course, we couldn’t leave out technology, which is the main enabler of retail media in the physical environment and, at the same time, the biggest competitive differentiator between more mature operations and those still in their early stages.

The real value doesn’t lie simply in adopting standalone tools, but in the ability to integrate different technology layers into a cohesive system capable of turning data into decisions and experiences into measurable results. To achieve this, we can rely on technologies from different systems, such as:

Physical layer (hardware)

The physical layer is the direct point of contact with the consumer and is made up of devices that capture data and deliver communication. Digital screens, sensors, cameras, beacons, and electronic shelf labels create an infrastructure capable of transforming the store into an interactive, responsive environment.

However, simply using these elements doesn’t guarantee efficiency. Strategic placement, data integration, and alignment with the consumer journey are key factors in making sure these assets truly contribute to retail media.

In this context, the POS becomes a sensory environment, where visual and contextual stimuli directly influence behavior. Technology, therefore, doesn’t just enable communication — it redefines how consumers perceive and interact with the space.

Logical layer (software and intelligence)

If the physical layer is responsible for execution, the logical layer is what makes it possible to scale and optimize the operation. Media management platforms, analytics systems, BI tools, and CDPs form the foundation for turning the POS into a data-driven environment, with logic similar to that of digital.

This structure makes it possible to segment audiences, personalize campaigns, track performance in real time, and continuously adjust strategies. Integrating these platforms is one of the biggest challenges and, at the same time, one of the biggest opportunities.

When well implemented, this integration connects data from different points along the journey, creating a unified view of the consumer and expanding measurement capabilities. This is essential for evolving retail media KPIs, which come to reflect not just exposure, but real impact on behavior and sales.

The role of artificial intelligence and neuroscience

Artificial intelligence acts as a catalyst for this transformation, making it possible to analyze large volumes of data and generate automated decisions in real time. With AI, content displayed on screens can be adjusted based on traffic patterns, time of day, store profile, and even external conditions such as weather or seasonality.

When combined with principles of neuroscience, the technology reaches an even more sophisticated level. We know that a large share of purchasing decisions happen unconsciously, influenced by sensory and contextual stimuli.

Elements such as color, motion, repetition, and placement have a direct impact on consumer attention and memory. By using data to understand behavior and applying these stimuli strategically, retailers can create experiences that don’t just inform but influence decisions in a subtle and effective way.

This is one of the most powerful aspects of in-store retail media: the ability to bring together technology and human behavior to create more relevant interactions, cutting through the noise and increasing conversion.

Measurement and attribution: the big competitive differentiator

Generating and capturing data is extremely valuable in today’s market, but knowing how to measure and attribute it correctly is just as important, because measurement is what turns in-store retail media into a truly sustainable model.

Without the ability to prove impact, media in the physical environment remains limited to an exposure-based logic, similar to what trade marketing has historically been. That’s why measuring this data in retail media calls for a few key strategies, such as:

Defining relevant KPIs

When it comes to retail media KPIs, the focus is no longer limited to reach metrics and expands to include indicators that demonstrate direct business impact. Incremental sales uplift, for example, makes it possible to identify how much a campaign actually influenced purchasing behavior.

Conversion rate per exposure, in turn, helps gauge how effective the messaging is, while ROI ties together the relationship between investment and return. These indicators require a structured, integrated data foundation capable of connecting media exposure to purchasing behavior — one of the biggest challenges in measuring in-store retail media.

Attribution methods in the physical environment

Unlike digital, where attribution is more straightforward, the physical environment requires tailored approaches. A/B testing across stores, control groups, and correlation analyses are some of the methodologies used to isolate the impact of media.

Although more complex, these approaches offer a level of depth that strengthens the credibility of the operation and enables smarter decisions. The ability to measure impact consistently is what underpins the evolution of in-store retail media as a strategic investment channel.

Closing the loop with brands

Consolidating the model depends on the ability to turn data into value that brands can see. That means delivering not just reports, but actionable insights that guide future decisions.

When retailers can clearly demonstrate the impact of campaigns on sales and behavior, they expand their monetization opportunities. Closing this loop is essential to building a sustainable model, where retail media stops being a cost and becomes an investment with proven returns.

Trends that will redefine physical Retail Media

We couldn’t wrap up this piece without talking about the future of in-store retail media, which is directly tied to the evolution of technology and the integration across channels. Programmatic physical media, personalization at scale, and unified omnichannel data are shifts that are set to redefine how retail operates.

In this landscape, the concept of the Brand Ship Store stands out as an evolution of the traditional flagship. More than a space for showcasing products, this model offers an environment for the ultimate brand experience, where community, content, services, and technology come together to create a deeper connection with consumers.

The store becomes a relationship hub, capable of generating ongoing engagement and consistently strengthening the brand. Examples of this model include spaces that offer events, workshops, interactive experiences, and personalized services, creating a journey that goes beyond the purchase.

Technology plays a central role, connecting these experiences to data and enabling measurement and personalization. In this context, in-store retail media is no longer just a communication channel; it becomes part of the experience itself, helping build brand value and generate revenue.

The point of sale is undergoing a structural transformation, evolving from a mere conversion channel into an integrated platform for media, data, and experience. The rise of in-store retail media reflects a broader shift in the role of retail, which is now also operating as a relevant player in the media ecosystem.

Companies that can integrate technology, data, and an understanding of human behavior build operations that are more efficient, measurable, and scalable. Combining in-store retail media measurement, strategic use of data, and the application of neuroscience principles not only boosts campaign performance but also elevates the quality of the consumer experience.

In this new landscape, the competitive edge will belong to those who can turn the point of sale into an intelligent environment, where every interaction generates learning, every campaign delivers results, and every experience strengthens the relationship with the consumer.

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The Briefing That Kills a Great Experience 0 89

Alice Wonders7 de October de 2026 15:007 de October de 2026

Briefing estratégico para desenvolvimento de experiências de marca

“We need a campaign.” “Let’s do an event.” “We need an activation.” “How about building an app?” Almost all of these requests share the same first step: the brief.

In day-to-day marketing, phrases like these tend to show up as the starting point for new projects. The problem is that, more often than not, they don’t present the challenge. They already present the answer.

And when the solution comes before the problem, creativity starts out with less room to explore.

That doesn’t mean a campaign, an event or an activation is a bad choice. The real question is whether it is, in fact, the best answer to what the company needs to transform. After all, it’s entirely possible to execute a solution perfectly and still solve the wrong problem.

Before the “what,” comes the “why”

An effective brief shouldn’t start with the deliverable. It should start with the context.

What’s happening?;
Why does it matter to the business?;
Who is affected?;
What is that person going through?;
Is there a behavior or perception that needs to change?;
What has already been tried?;
And what don’t we know yet about this challenge?

These questions help turn a request into an opportunity for investigation.

“We need to create an activation to increase store traffic,” for example, already defines a big part of the path. But realizing that a significant number of people move through the space without engaging with a particular category opens up a far more interesting discussion: how can we make this journey more relevant?

An activation may still be the answer. But now it’s one possibility among many — not a decision made before the problem was understood.

A good brief opens up possibilities

There’s an important difference between giving direction and dictating the solution. A good brief needs to be clear about the challenge, the audience, the objectives, the context and the constraints. At the same time, it should leave room for the team to question assumptions and explore different paths.

It’s precisely this combination that can make the creative process more powerful.

When the brief says “do X to achieve Y,” the discussion tends to focus on how to do X as well as possible. When it says “we need to achieve Y because this is the scenario we’re facing,” the question becomes “what’s the best way to get there?”

It may seem like a small difference, but it can completely change the outcome.

The solution might lie in a physical experience, in content, technology, service, communication, environment, journey or a combination of different possibilities. The format stops being the starting point and becomes a consequence of the strategy.

So where does experience come in?

With whoever is on the other side.

A good experience doesn’t come only from what the brand wants to communicate or offer. It needs to take into account the context of the people who will live it. What do they expect? What could create friction? What’s relevant at that moment? What role does the brand play in that journey?

When these questions make it into the brief, the project stops being just about a deliverable and becomes about a transformation.

This perspective also helps avoid one of the most common mistakes in experience projects: creating something interesting for the company but not very relevant to people.

An idea can be beautiful, innovative and technically flawless. But if it doesn’t respond to a real need or doesn’t make sense in that context, it’s unlikely to be a good experience.

The brief doesn’t need to come with a ready-made idea

Perhaps this is the main shift in perspective: the brief isn’t there to say exactly what should be created. It’s there to create the conditions for the best idea to emerge.

That means spending more time understanding the problem before rushing to the solution. It means questioning requests, investigating behaviors, acknowledging constraints and leaving room for possibilities that weren’t on the radar yet.

In the end, the more clarity there is about the problem, the more freedom there is to think about the solution.

This is the mindset Alice Wonders brings to turning business challenges into experiences. Combining strategy, creativity and a people-centered approach, we help brands break away from ready-made solutions and find more relevant paths for what truly needs to be transformed.

Because a good experience may start with an idea. But a relevant experience starts with a good question.

Want to uncover new possibilities for one of your brand’s challenges? Talk to Alice Wonders.

In the Age of AI, What Still Needs to Be Human? 0 92

Alice Wonders6 de October de 2026 15:006 de October de 2026

Experiência imersiva que representa a conexão entre inteligência artificial e fator humano.

You know when you chat with an AI chatbot, get exactly the information you needed, and still feel like something was missing? Or when an AI-generated image is technically perfect but doesn’t stir any emotion at all?

These examples point to one of the biggest challenges of the AI era: the more technology we have at our disposal, the more valuable the traits that are still essentially human become.

Artificial intelligence already writes, creates images, analyzes data, personalizes content and automates processes. But with so many possibilities, a question arises: if technology can do more and more for us, what still needs to be done by people?

With that in mind, today we’ll look at what still needs to be human, even in the AI era, and how to get there without competing with technology, but by using it as a business ally. Enjoy the read!

AI has changed the game

To start, we need to understand that artificial intelligence has brought speed, scale and efficiency to companies in virtually every industry. Today, brands can analyze behavior, personalize journeys, generate content and automate interactions in a matter of seconds.

The problem is that when the same tools are available to everyone, technology alone stops being a differentiator. If any brand can use AI to personalize a message, generate an image or automate customer service, what will make one of them memorable?

That’s where the human factor comes in. AI can identify patterns, but interpreting context is another story. It can recognize emotions, but not experience them. It can generate possibilities, but it can’t decide on its own which of them actually makes sense for a brand. It can personalize an interaction, but it doesn’t necessarily create a connection.

In the end, memorable experiences are built on something that goes beyond technology: feeling, meaning and identification.

What still needs to be human?

Now that we understand how AI operates and how it can support a business, the question remains: what still needs to be human? So we’ve put together a few areas below where AI can’t perform as well as a human. Take a look:

Feeling: an AI can identify that a certain experience has the potential to move people. But it’s the person who feels surprise, nostalgia, belonging or delight. And it’s these emotions that turn an interaction into a memory;
Interpreting: data shows what people do. But understanding why they do it takes context, background and sensitivity;
Creating meaning: artificial intelligence can generate thousands of ideas. But an experience doesn’t become relevant just because it’s new. It needs purpose, it needs to align with the brand and it needs to make sense for whoever is living that moment.
Building connections: an unexpected detail, service that shows genuine care or an experience that feels designed especially for someone can create bonds that go far beyond the transaction. And the more automated our relationships become, the more value there may be in precisely these genuinely human moments.

What if AI made experiences more human?

Is there an ideal world where technology and human experiences support each other in perfect harmony? Well, in brick-and-mortar retail, this discussion becomes even more relevant. Instead of using artificial intelligence just to automate processes, brands can use it to enhance experiences.

Imagine spaces that adapt content to each visitor, experiences that personalize journeys in real time or environments that respond to people’s behavior.

Technology is there, but it doesn’t have to be the star. The star is the person living the experience. That’s why the question shouldn’t just be “where can we add AI?” but rather: “How can AI make this experience more relevant for the people who are here?”

Like other technologies, artificial intelligence is likely to become increasingly accessible. The differentiator, then, won’t be who uses AI, but who knows how to use it with purpose. That means starting with the consumer, understanding their behavior, defining what the brand wants to spark and only then choosing the technology that can make that experience possible.

Because AI can expand possibilities. But it’s the human perspective that turns possibilities into meaning.

AW: technology to create more human experiences

At Alice Wonders, we believe technology only makes sense when there’s a purpose behind it.

That’s why we combine technology, creativity and strategy to transform physical spaces into experiences that bring brands and people closer together.

Want to discover how to use technology to create more human and memorable experiences for your brand?

Click here to learn more about Alice Wonders’ work.