Retail Media Networks Pass Social Ad Spend in 2026

Amazon Advertising generated $56.3 billion in revenue over the trailing four quarters to Q1 2026 — more than Snap, Pinterest, X, and Reddit combined. The figure comes from Amazon’s Q1 2026 earnings release and marks the first time a retail media network has individually surpassed social media’s second tier. Walmart Connect, the second-largest retail media network, reported 32% revenue growth year-on-year in its most recent fiscal quarter — faster growth than Meta’s core US advertising business in the same period.

The shift is structural, not cyclical. The advertising allocation moving into retail media is not returning to display or social; it is following a logic of closed-loop attribution that neither platform can replicate at retail-purchase scale.

Why First-Party Purchase Data Is the Attribution Gap Competitors Cannot Close

The advertising proposition of retail media networks rests on a capability social platforms cannot offer: direct linkage between an ad impression and a product purchase, using first-party transaction data that depends on no cookies, no device tracking, and no probabilistic modelling. When a CPG brand runs a campaign on Amazon’s sponsored products inventory, the attribution chain is deterministic — the same entity that served the ad also processed the transaction.

This is the structural reason that Meta’s advertising market share growth has not absorbed retail media budgets. Meta’s Advantage+ performance machine is superior at social conversion, but it cannot close the loop at the point of physical or e-commerce purchase with the specificity that Amazon’s first-party data can. Brands are not choosing between Meta and retail media — they run both for different funnel stages — but retail media’s share of the performance budget is growing because its ROAS measurement is cleaner and more directly attributable.

The Interactive Advertising Bureau’s Retail Media Networks Standards Framework, published in early 2026, formalises the measurement methodology that major retail networks are now required to report against. The IAB standard distinguishes between on-site inventory (sponsored listings and display within the retailer’s own properties), off-site inventory (programmatic served on third-party publishers using the retailer’s first-party data), and in-store digital media. Amazon operates all three. Walmart Connect and Target Roundel are increasingly competing in the off-site category.

Walmart Connect, Target Roundel, and the Non-Amazon Tier

The retail media market outside Amazon is worth tracking separately because its growth trajectory is faster, off a smaller base. Walmart Connect’s 32% year-on-year revenue growth reflects the point in the S-curve where a platform has established measurement credibility with major advertisers but has not yet exhausted its available inventory monetisation. Target Roundel, Home Depot’s Orange Apron Media, and Kroger Precision Marketing are all at earlier stages of the same curve.

The competitive dynamic among these networks is primarily a data quality and measurement contest rather than an audience size contest. Walmart Connect’s advantage over Target Roundel is not scale alone — both reach large portions of the US grocery and general merchandise market — but the maturity of Walmart Connect’s demand-side integrations (The Trade Desk, Google DV360, direct API) and the completeness of its cross-channel attribution. Brands that have allocated to Walmart Connect for two or more years are now reporting ROAS measurements that rival Amazon’s in categories where Walmart has comparable transaction volume density.

The implication for media planners is not to default to Amazon allocation and treat the rest as experimental. In grocery, home improvement, and pharmacy, the retailer with the strongest transaction data in the relevant category — not the largest overall footprint — has the highest attribution quality. For a paint brand, Home Depot’s Orange Apron Media outperforms Amazon Ads on attribution clarity. For a grocery private-label campaign, Kroger Precision Marketing’s purchase history data depth competes with Walmart Connect’s.

What Brands Are Actually Buying and Why Agency Structures Are Lagging

The practical consequence for brand marketing teams is a reallocation of planning responsibility that has not yet been fully absorbed by agency structures. Retail media buying sits in a contested zone between performance marketing (managed by demand-side teams) and trade marketing (which historically handled retailer relationships). The data requirements for effective retail media campaign optimisation — category-level transaction velocity, competitive share-of-shelf on platform, ROAS by product SKU — are closer to trade analytics than to media analytics.

Agencies that have built dedicated retail media practices are growing faster than their parent networks precisely because this specialist knowledge is not yet commodity. The YouTube Brandcast 2026 announcement that CTV inventory would support in-app checkout represents Google’s attempt to close the attribution loop from video to purchase — a direct answer to the structural advantage that retail media networks have built. Whether shoppable CTV achieves attribution quality comparable to Amazon’s on-site inventory depends on transaction data that Google does not currently have at retail depth.

The competitive question for the next phase of retail media growth is not whether brands will allocate more — the trajectory is clear from Amazon’s revenue curve and Walmart Connect’s growth rate. The question is which non-Amazon networks will reach the attribution maturity needed to compete for brand-level budget rather than performance-only budget. Walmart Connect is the most plausible candidate. The rest of the tier will need to demonstrate measurement standards consistent with the IAB framework before they can move from experimental allocation to planned media mix inclusion in major brand budgets.

What First-Party Purchase Data Means for Brand-Audience Relationships

Ann Handley’s framework for brand content centres on the audience relationship — the question is not “what do we want to say?” but “what does the audience actually need at this moment?” Retail media networks represent the most literal possible answer to that question: the audience is standing in a digital aisle, holding a category in mind, and the brand’s message can arrive at exactly that moment with contextual precision that no other media format can replicate.

The attribution precision that makes retail media attractive to performance marketers is also, from an audience relationship perspective, a signal about intent quality. An ad served to someone searching for bulk dish soap on a Walmart Connect property is not interrupting them — it is answering a question they have already decided to ask. The audience has self-selected into a high-intent state. The impression is not an intrusion into content consumption; it is a presence in a shopping context that the audience initiated. This matters for creative strategy.

The tendency, when performance attribution is strong, is to optimise purely for conversion — price-point messaging, promotional graphics, “buy now” framing. Handley’s argument would be that the closed-loop attribution quality of retail media allows brands to test something more valuable: whether brand-building content at point of intent performs better over a longer measurement window than pure conversion messaging. The first-party data quality that makes retail media’s ROAS measurement cleaner also makes it the best available testing environment for understanding whether brand equity drives purchase behaviour or merely correlates with it.

Walmart Connect’s 32% revenue growth is not just a media story. It is data about the segment of the consumer audience that is ready to engage with brand content when they encounter it in a shopping context — and that segment is large, measurable, and growing faster than the social platforms that historically claimed audience attention. The audience that a brand reaches through retail media has already told the algorithm something true about their current purchasing intent. That is the most honest audience signal that marketing has ever had access to at scale. How brands choose to show up when that signal is live — with conversion pressure or with genuine utility — will determine which companies extract durable brand value from the retail media opportunity versus which ones treat it as a performance channel that can only compete on price.