A Store Is a Geography, Not a Single Audience
In-store retail media is not a single screen or audience; it is a retailer-controlled arrangement of inventory, store zones, brands, products, and shoppers. This chapter focuses on how geography and ownership change the opportunity for a digital-signage message to reach an advertised product. The practical judgment is simple: before interpreting an exposure number, classify where the message appeared and what path a shopper had to the product.
The location matters because a store is not a neutral container around a message. It organizes movement and attention. A screen outside the building can meet someone before they enter. A display near a shelf can meet a shopper while a choice is still being made. A checkout screen may arrive after many product decisions have already been settled. These are all legitimate pieces of in-store retail media, but they do not pose the same question about exposure or purchase.
Five Zones, Five Kinds of Opportunity
The IAB groups in-store retail media into five broad zones. The taxonomy is intentionally general: store size and category vary, and a retailer can add local detail. Its value is not that every store fits neatly into five boxes. Its value is that it gives the measurement conversation a physical reference point.
The first zone is exterior to the store. It can include a parking lot, a window visible from outside, a fuel station, a charging station, or a curbside location. A message in this zone may reach people before the shopping trip has begun or while they are completing an adjacent task. The relevant opportunity is not just whether the screen functioned. It is also whether the people counted there entered the store, encountered the product, or were already committed to a purchase decision.
The second zone covers the entrance and out-of-category areas. Foyer displays, entrance barriers, service kiosks, stand-alone displays, and post-checkout or exit placements can reach a broad flow of shoppers. A power aisle may also be treated as part of this zone when it operates as a prominent area outside a single product category. These placements can create wide store-level reach, but their relationship to a particular product may be indirect. The shopper may remember the message and act later, or may never pass the advertised shelf.
The third zone is checkout. The IAB includes the belt or surface, in-queue placements, shopper-facing transaction screens, and self-service checkout. Here, the shopper is close to completing a transaction, but “close to the transaction” does not tell us whether the advertised product is still relevant to the current basket. A message may influence an add-on decision, reinforce a choice already made, or be encountered after the relevant product decision. The zone therefore helps define the question; it does not answer it.
The fourth zone is in the aisles, including prime promotional areas such as power aisles and gondola ends. These placements can sit closer to the advertised product and to the moment of comparison among products. That makes proximity a plausible part of the mechanism, but it still leaves open whether the shopper noticed the message, had time to consider it, found the product in stock, or would have purchased it without the sign.
The fifth zone covers other and connected-store settings. It includes auxiliary services, buy-online-pickup locations, customer service, and smart carts. These touchpoints can connect a physical visit with a digital or service interaction. They may not fit the simple picture of a shopper walking past a screen, yet they remain part of the retailer's environment for planning, executing, and measuring brand messages.
A useful way to read the taxonomy is as a set of coordinates rather than a set of labels. For any placement, ask four questions: how broad is the flow of people who can encounter it; how close is the advertised product; what shopping decision is still open; and what kind of presence or dwell can be observed? The IAB zones do not answer all four questions, but they prevent the report from beginning with the vague statement that “shoppers were reached in-store.” They locate the opportunity before someone tries to quantify it.
The zones are not a ranking from best to worst. They are different opportunities with different interfaces. An exterior display might be useful for broad awareness but difficult to connect to an immediate product choice. A shelf-adjacent display might offer a more direct path to the featured item but reach fewer people. A checkout placement might offer high transaction proximity while leaving less room to change a decision already made. The relevant question is not “Which zone wins?” but “Which outcome could this zone plausibly influence, and what evidence would distinguish that influence from ordinary shopping behavior?”
That question also guards against a common reporting shortcut. If a campaign runs in several zones, a single total can conceal several different journeys. A person counted near an entrance, a person who dwells beside an aisle screen, and a person facing a checkout display are not interchangeable observations. Aggregating them may be necessary for a campaign total, but interpretation should retain the conditions that generated the total. A broad reach estimate may be appropriate for an awareness objective, while a product-purchase claim may require a much narrower view of who could reach the shelf and when.
Suppose a retailer places the same creative in an entrance area and beside the advertised product. The creative, brand, and campaign budget may be identical, but the proposed mechanism is not. The entrance placement may work through memory or later search; the aisle placement may work through immediate relevance or reduced search effort. If both placements are reported together, a positive total cannot reveal which path produced the movement. Separating zones is not needless granularity when the decision depends on placement. It is the minimum context needed to decide whether the result can travel to another location.
The Interfaces That Make Placement Matter
The IAB's definition makes retail data and control part of the medium. Retailers provide or operate the inventory and use retail data for planning, execution, and measurement. Brands supply messages for existing or prospective shoppers. Shoppers provide presence and behavior, not a guaranteed response. Products and categories provide the commercial context in which the message might matter. The system works only when these parts meet, but no single participant owns the entire causal chain.
Retailer control begins with the touchpoint. The retailer determines where a screen, audio source, connected device, or other supported format is available, how the store is organized, and which traffic or transaction data can be used. That does not mean the retailer can observe every mental response. It means that the retailer controls many of the conditions that determine whether observation is possible: location, operating hours, compliance, traffic measurement, and the relationship between the touchpoint and the rest of the store.
The brand controls a different interface. Its creative expresses the message, but the message enters a context it does not fully control. The same emotional or product-focused creative may meet a shopper who is browsing, replenishing a routine item, responding to a promotion, or trying to leave quickly. The study of digital signage reports stronger effects for emotional advertising messages and in the absence of concurrent promotional cues, but those are study-reported conditions, not a universal rule that creative can overcome any placement problem.
The shopper-product interface is where the commercial possibility becomes concrete. If the advertised item is nearby, the message may be easier to connect to a product that the shopper can inspect or add to a basket. The study abstract reports that digital signage has a stronger impact when it is placed near the advertised product. That finding supports treating proximity as an important condition to test. It does not supply a universal distance threshold, prove that proximity caused every observed difference, or show that a nearby sign is valuable when the item is unavailable or the shopper has no relevant need.
Several mechanisms could make proximity matter. A nearby sign may reduce the effort of moving from recognition to search. It may make the message more relevant because the product is visible at the same moment. It may help a shopper retrieve a brand from memory when similar products are competing for attention. These are plausible explanations for why location deserves investigation; the accessible abstract does not identify which mechanism dominates. A responsible campaign therefore treats proximity as a hypothesis linked to a measurable outcome, not as a slogan about “being close to the shelf.”
Placement is also an interface between campaign intent and store operations. A brand may want a message to meet a shopper at the moment of choice, while the retailer must keep an aisle navigable, maintain a promotional area, and operate a screen reliably. If the touchpoint is moved, obstructed, out of service, or separated from the product by a changed layout, the campaign may still be scheduled while its practical opportunity has changed. The distinction matters because a delivery report can remain healthy even when the physical conditions that made the message relevant have weakened.
The same interface shapes what can be learned after the campaign. A placement description can support a comparison of locations only if the locations are measured consistently and the other differences are visible. Stores may vary in format, size, traffic, assortment, and promotion. A sign beside a popular product may attract a different kind of shopper than a sign beside a niche product. The reported study conditions make these differences worth examining, but they do not let a reader assume that proximity alone explains the result. Location is a component of the system whose effect depends on what else meets the shopper there.
The relationships in the diagram clarify why placement data should not be treated as an afterthought. Inventory belongs to a retailer and sits in a zone. A brand's campaign uses that inventory and features one or more products. A shopper may encounter the touchpoint, but an encounter is not the same as a purchase. A purchase can include the advertised product, yet the transaction alone does not reveal whether the campaign changed the decision. The interfaces are connected; they are not proof of one another.
Consider two screens: one faces a shopper in a checkout queue, and another sits beside the advertised product in an aisle. Before any sales data arrive, the measurement questions differ. For the checkout screen, one would need to know whether the relevant purchase decision was still open, how long shoppers faced the screen, and whether the product was part of the route or basket. For the aisle screen, one would ask how many shoppers entered the exposure area, whether they dwelled long enough for the message to be available, how close the product was, and whether competing promotions or stock conditions changed. Neither set of questions guarantees an effect. It makes the proposed path to an effect explicit.
This is also why the IAB's format scope matters. Digital screens, audio, and connected shopping are the focus of the current standards, while static and other activation formats are not treated as if they already share the same measurement rules. An audio message may have a different exposure zone from a visual screen. A smart cart may create an interaction different from a looped display. A physical sampling activation may involve a human exchange rather than a rendered ad. Evidence attached to one format should not be silently transferred to another.
The store-specific nature of the taxonomy is a strength and a constraint. It is a strength because a retailer can add nuances that make a zone useful for actual buying decisions. It is a constraint because a five-zone label alone cannot describe aisle layout, shopper flow, screen height, product availability, dwell time, or concurrent activity. A campaign report that names only “in-store” has discarded information needed to interpret its exposure number. A report that names the zone has taken a first step, not completed the explanation.
Placement is therefore part of the causal story. It determines which shoppers can encounter the message, which product decisions may still be open, and which forms of exposure can be measured. The study's near-product result makes that relationship empirically relevant, while the IAB taxonomy supplies a shared language for describing it. The next question is how to measure the encounter itself: whether the ad played, whether someone was present, whether they had an opportunity to see it, and which of those events a campaign report is actually counting.