Omnichannel Retail Media: Where the Strategy Breaks Down

Omnichannel retail media works when it treats every customer touchpoint as part of a connected commercial system, not a collection of independent channels each optimised in isolation. The retailers and brands getting this right are not the ones with the most sophisticated technology stacks. They are the ones that have aligned their data, their messaging, and their measurement around how customers actually shop, rather than how their internal teams happen to be structured.

Most omnichannel retail media strategies fail at the seams, not at the core. The individual channel execution is often competent. The problem is that nothing connects.

I have spent the better part of two decades watching brands invest heavily in channel-level execution while the customer experience between those channels quietly falls apart. When I was running agency teams managing hundreds of millions in ad spend across categories from FMCG to financial services, the pattern was consistent: brands would brief us on a retail media campaign, and the first question I would ask was what happens after the click. The silence that followed told me everything I needed to know about where the real work was.

If you are working through the broader principles of how customers experience brands across multiple dimensions, the Customer Experience hub covers the strategic and operational layers that sit behind everything discussed here.

What Does Omnichannel Actually Mean in a Retail Media Context?

The term omnichannel gets used loosely enough that it has lost most of its precision. In a retail media context, it means something specific: the ability to reach a shopper with relevant, coordinated messaging across paid media, owned retail surfaces, and in-store environments, using the retailer’s first-party data as the connective tissue throughout.

That is different from simply running ads on multiple platforms. It is also different from integrated marketing, which is a related but distinct concept. Integrated marketing versus omnichannel marketing is a distinction worth understanding clearly before you build your retail media strategy, because the two approaches have different structural requirements and different failure modes.

Retail media has three broad layers. The first is on-site, which includes sponsored product listings, banner placements, and brand pages within the retailer’s own digital environment. The second is off-site, which uses the retailer’s first-party audience data to reach shoppers on external platforms including paid social, programmatic display, and search. The third is in-store, which covers digital screens, point-of-sale media, and increasingly audio in physical retail environments.

Most brands are active in the first layer. Fewer have properly integrated the second. Almost none have a coherent strategy that connects all three to a single customer view. That gap is where the opportunity sits, and it is larger than most brand teams realise.

Why First-Party Data Is the Foundation, Not a Feature

The structural advantage of retail media over traditional digital advertising is purchase data. Retailers know what their customers bought, when they bought it, how frequently they return, what categories they browse without converting, and increasingly, what they do immediately before and after a purchase. That data asset is genuinely valuable, and it is what separates retail media from standard programmatic inventory.

The problem is that most brands treat retail media like they treat any other digital channel. They set up a campaign, choose some targeting parameters, and measure click-through rates and return on ad spend at the campaign level. The first-party data advantage is technically present but practically unused, because the brand has not built the workflow to act on it with any granularity.

Effective use of retail first-party data means segmenting audiences by actual purchase behaviour rather than demographic proxies. Lapsed buyers need different messaging from new category entrants. Heavy buyers who have not repurchased in 90 days are a different audience from those who buy quarterly by habit. BCG’s work on retail personalisation makes the commercial case clearly: brands that personalise at the audience segment level, rather than at the demographic level, generate materially better returns from the same media investment.

Personalisation at this level requires two things that most brand teams do not have in place: a clean data taxonomy agreed with the retailer, and a creative production process that can generate enough variants to serve different audience segments without the cost becoming prohibitive. Both are solvable. Neither is trivial.

How On-Site and Off-Site Retail Media Work Together

On-site retail media, particularly sponsored search, is a demand capture mechanism. A shopper searching for “protein powder” on a major grocery platform is already in market. Appearing at the top of that results page is valuable, and the return on investment is often strong because the intent signal is explicit. The mistake brands make is treating this as a standalone performance channel and optimising it purely on last-click return on ad spend.

Off-site retail media is where demand gets built. Using the retailer’s audience data to reach category browsers or lapsed buyers on external platforms, before they arrive on-site with purchase intent, is what shifts the upper funnel. If you only run sponsored search, you are competing for demand that already exists. If you layer in off-site display and paid social using retailer audience segments, you are shaping the consideration set before shoppers arrive at the point of search.

The omnichannel customer experience framework from Mailchimp outlines this well at a conceptual level: awareness, consideration, and purchase are not separate channel responsibilities. They are stages that the same customer moves through, and the media strategy should reflect that continuity rather than fragment it across team silos.

In practice, this means connecting your off-site display investment to your on-site search performance data. If a shopper was exposed to your off-site creative and then converted on a sponsored search placement, that conversion has a different attribution story than one that came through search alone. Most retail media reporting does not show you this by default. You have to ask for it, and you have to build your measurement framework to capture it before the campaign runs.

The In-Store Layer Most Brands Underestimate

Physical retail is not dying. It is changing. And in-store media is one of the fastest-growing parts of the retail media network ecosystem precisely because it closes a loop that digital-only approaches leave open. A shopper who saw your off-site display ad, searched for your product on the retailer’s app, and then walked into the physical store is a highly qualified prospect at the point of purchase. If your in-store media strategy is an afterthought, you are spending money to get someone to the shelf and then going quiet at the moment that matters most.

Digital shelf-edge screens, in-aisle displays, and end-cap activations have become measurable in ways they were not five years ago. Retailers are increasingly able to connect in-store media exposure to basket data, which means the closed-loop measurement that made on-site retail media attractive is now extending into physical environments.

I worked with a consumer goods brand that had an excellent digital retail media programme and almost no in-store media presence. Their on-site metrics were strong. Their market share in physical grocery was flat. When we mapped the customer path, it became clear that a significant portion of their digitally influenced shoppers were converting to competitor products at the point of purchase because the in-store environment was not reinforcing what the digital campaign had built. The fix was not complicated. The insight required someone to look at the full picture rather than the individual channel dashboard.

Understanding how customer experience operates across three distinct dimensions is useful here. The functional, emotional, and contextual layers of the shopping experience do not all respond to the same media type. In-store media operates in a context that digital cannot fully replicate, and treating it as an afterthought rather than a strategic layer is a mistake that shows up in sales data before it shows up in campaign reports.

Measurement and Attribution Across Channels

Retail media’s claim to superiority over traditional advertising rests largely on closed-loop measurement. Unlike a TV spot or a programmatic display impression, retail media can connect ad exposure directly to a purchase event within the same retailer ecosystem. That is a genuine structural advantage, and brands should be building their measurement frameworks around it rather than defaulting to the same last-click attribution models they use everywhere else.

The challenge is that closed-loop measurement within a single retailer does not tell you what happened across all retailers, or in physical stores outside that network, or in the weeks after the campaign ended. Omnichannel analytics requires a more sophisticated approach than any single platform’s native reporting can provide. You need a measurement architecture that sits above the individual channel dashboards and aggregates signal across touchpoints.

I judged the Effie Awards for several years, and the entries that consistently impressed me were not the ones with the most impressive single-channel metrics. They were the ones where the brand could demonstrate a coherent story from media investment to business outcome, accounting for the full purchase path rather than cherry-picking the last touchpoint. That discipline is rarer than it should be, and it starts with measurement design, not measurement reporting.

Incrementality testing is the most useful tool in the retail media measurement toolkit. Rather than asking which channel gets credit for a conversion, incrementality testing asks whether the conversion would have happened without the media exposure. Run holdout tests by geography, by audience segment, or by retailer to establish a baseline. The results are often humbling, but they are honest, and honest measurement is the only kind that improves decision-making.

Search personalisation is also reshaping how shoppers find products before they reach a retailer’s platform. Search engine personalisation means that two shoppers searching the same term can see materially different results, which has implications for how brands think about their discovery strategy upstream of the retail media environment.

Retargeting Within Retail Media Networks

Retargeting in a retail media context is more nuanced than standard display retargeting, because the behavioural signals available are richer. A shopper who viewed a product page but did not add to basket is a different retargeting audience from one who added to basket but did not complete checkout. Both are different from a lapsed buyer who has not purchased in six months.

The principles of customer experience retargeting apply directly here: the message and the offer should reflect where in the purchase process the shopper dropped off, not just the fact that they visited. Serving the same creative to every retargeting audience is a waste of the data advantage that retail media networks provide.

Frequency management across retargeting audiences is also an underappreciated lever. Retail media platforms have a tendency to over-serve retargeting impressions to the same users because the return on ad spend looks strong in last-click attribution. What that metric does not capture is the diminishing marginal return on each additional impression, or the negative brand signal that comes from following a shopper around with the same ad for three weeks after they already bought the product from a different retailer.

Post-purchase retargeting is a distinct and often neglected use case. Reaching a confirmed buyer with a complementary product recommendation, a loyalty programme prompt, or a subscription conversion message is a different objective from acquisition retargeting, and it should have its own creative brief, its own frequency cap, and its own success metric.

Category-Specific Considerations in Retail Media

Retail media strategy is not category-agnostic. The purchase cycle in fast-moving consumer goods is fundamentally different from the purchase cycle in consumer electronics or apparel, and the omnichannel strategy should reflect those differences rather than applying a generic framework.

In food and beverage specifically, the combination of high purchase frequency, strong habitual behaviour, and relatively low consideration time creates a different media dynamic from categories where shoppers research extensively before buying. The food and beverage customer experience has distinct characteristics at the awareness, consideration, and purchase stages that affect how retail media investment should be allocated across on-site search, off-site display, and in-store activation.

In higher-consideration categories, off-site retail media and content-led formats play a larger role in the pre-purchase phase. Video formats are particularly effective at shifting consideration before a shopper arrives on the retailer platform. Video in the customer experience has moved well beyond brand advertising. In a retail media context, product demonstration video served to a category intender via a retailer’s off-site audience is a mid-funnel conversion tool, not just a brand awareness play.

The Optimizely research on omnichannel marketing trends points to personalisation at scale as the primary gap between brands that are growing their retail media investment and those that are not. The technology to do this exists. The organisational capability to execute it consistently is where most brands fall short.

Where Technology Helps and Where It Gets in the Way

The retail media technology landscape has expanded rapidly, and the vendor claims have expanded even faster. There are legitimate tools that meaningfully improve campaign performance, audience segmentation, and cross-channel measurement. There are also a significant number of platforms that add complexity, cost, and data fragmentation without adding proportionate value.

The question worth asking before any technology investment is whether it solves a specific, identified problem in your current retail media execution, or whether it is being purchased because it sounds like the kind of thing sophisticated brands should have. I have seen brands spend six figures on a retail media management platform before they had resolved the basic question of who owns the retailer relationship and who owns the media budget. The technology was not the problem. The organisational structure was.

AI-powered optimisation tools are increasingly embedded in retail media platforms, and the distinction between governed and autonomous AI matters here. Governed AI versus autonomous AI in customer experience software is a framework that applies directly to retail media campaign management. Autonomous bid optimisation can improve efficiency within a campaign, but it can also optimise toward the wrong objective if the success metrics are not set correctly at the outset. Human oversight at the strategic level is not a limitation on AI performance. It is a prerequisite for it.

Customer feedback loops also matter more in retail media than most brands acknowledge. Social listening and customer feedback can surface product and messaging signals that quantitative retail media data will not show you. A brand that is performing well on sponsored search metrics but generating negative sentiment about its in-store experience has a problem that no amount of bid optimisation will solve.

Building the Organisational Capability to Execute

The most common reason omnichannel retail media strategies fail is not strategic. It is structural. The team responsible for on-site retail media sits in a different part of the organisation from the team running off-site programmatic, which sits separately from the team managing in-store trade marketing, which has a different budget owner from the team running brand advertising. Each team optimises for its own metrics, and the customer experience between those channels is nobody’s specific responsibility.

When I grew an agency from 20 to 100 people, one of the recurring lessons was that the quality of integrated work was determined less by individual channel expertise and more by the quality of the handoffs between teams. The best channel specialists in the world produce mediocre integrated results if the briefing process, the data sharing, and the measurement framework are not designed to connect their work. Retail media is no different.

Customer success enablement as a discipline, often associated with SaaS businesses, has principles that translate well to retail media execution. The idea that customer-facing teams should have the tools, training, and data access to deliver consistent experiences applies equally to the retail media teams responsible for managing touchpoints across the purchase experience. Fragmented tooling and inconsistent data access are as damaging in retail media as they are in customer success.

The brands that execute omnichannel retail media well tend to have a single person or team with clear ownership of the end-to-end retail media strategy, regardless of where the budget sits. They have a shared measurement framework that all channel teams report into. And they have a regular review cadence that looks at the connected customer experience rather than individual channel performance in isolation.

None of that is complicated in principle. All of it requires deliberate organisational design to achieve in practice. The strategy is often the easy part. The execution is where the work actually is.

If you are working on the broader customer experience architecture that retail media sits within, the Customer Experience hub covers the strategic frameworks, measurement approaches, and operational models that connect retail media to the wider business.

About the Author

Keith Lacy is a marketing strategist and former agency CEO with 20+ years of experience across agency leadership, performance marketing, and commercial strategy. He writes The Marketing Juice to cut through the noise and share what works.

Frequently Asked Questions