Walmart Connect Brings First-Party Data to DV360, Starting With YouTube

Walmart Connect and Google announced on June 11, 2026 that Walmart's first-party shopper data is now activatable inside Google Display & Video 360, starting with YouTube campaigns. The integration lets advertisers target Walmart's omnichannel audience segments and — the part that matters — measure how those YouTube impressions translate into confirmed Walmart purchases, all without leaving DV360.

What makes this consequential isn't the reach numbers, which are large but vendor-stated. It's the closed loop. For the first time, a major retailer's transaction-level purchase data is wired into a Google video buying workflow, so a brand can connect a YouTube view to a real basket — in-store or on Walmart.com — using actual transactions rather than modeled attribution. That is the capability Amazon has guarded inside its own walls for years.

This guide covers exactly what shipped, how the closed loop works, why Google is the quiet winner here, how the major retail media networks now compare, and what advertisers should actually do — including the detail most coverage glosses over: this is a closed proof-of-concept, not an open product you can turn on today.

On June 11, 2026, Walmart Connect — Walmart's retail media network — and Google announced that Walmart's first-party audiences can be activated inside Display & Video 360. YouTube is the first inventory type; Walmart and Google both describe it as a starting surface, with additional inventory types planned but no timeline given. Walmart describes itself as the No. 1 US omnichannel retailer, reaching roughly 150 million weekly US customers across 4,500+ stores and Walmart.com — figures stated by Walmart and Google in the announcement materials.

Three technical pillars underpin the integration. First, Walmart Connect audience segments built from omnichannel purchase behavior appear as targeting options in DV360. Second, closed-loop measurement ties YouTube impressions to confirmed Walmart.com and in-store purchases using transaction data rather than modeled attribution. Third, both audience selection and measurement reporting function inside DV360 without switching platforms. Google has also said Gemini models are part of the planning, activation and measurement workflow — described in vendor language as a more connected approach across the shopper journey, without specific feature names attached.

For most of YouTube's history, the hard problem for performance buyers wasn't reach — it was proof. Upper-funnel video could build awareness, but connecting a view to a sale meant modeled attribution: probabilistic links inferred from cookies, panels, and lift studies. That is exactly the gap a retailer's first-party transaction data closes. When the measurement source is Walmart's own confirmed purchases, the question shifts from "did this view probably help?" to "did this audience buy?"

This matters because the audience quality is unusually high. Walmart Connect has reported, in its own materials, that 2025 off-site display campaigns delivered a 52% median new-to-brand customer rate and CTV campaigns a 44% median new-to-brand rate — vendor-stated metrics, but directionally a signal that purchase-built audiences reach genuinely incremental buyers rather than re-serving existing customers. Paired with closed-loop reporting, that reframes YouTube from a brand-awareness line item into something a performance buyer can defend with transaction data.

The upper-funnel angle is the strategic one. YouTube is where demand gets created; Walmart's transaction data is where it gets confirmed. Linking the two inside a single workflow is what lets a buyer run video as demand generation and still hold it to a conversion standard. For the broader picture of treating video as top-of-funnel pipeline, our demand generation benchmarks and our YouTube advertising strategy guide cover the planning side this integration plugs into.

Most coverage frames this as "Walmart Connect meets YouTube." The more interesting read is what it does to the power structure. Retail media has been a two-player story — Amazon and Walmart — and eMarketer has projected the two together to capture the overwhelming majority of incremental US retail media spend in 2026. This integration doesn't break that duopoly so much as insert a third party underneath it: Google, as the measurement and inventory layer both retailers increasingly route through.

Look at the strategic divergence. Amazon's closed loop is entirely internal — Amazon Ads drives Amazon purchases, measured by Amazon, inside Amazon's walls. Walmart just voluntarily opened its loop outward into a Google product. That is a bet that distributing its data across DV360, Yahoo DSP, and feeds like Scintilla grows top-line ad revenue faster than protecting a proprietary DSP would. Walmart can make that bet partly because it ended Trade Desk exclusivity in 2025, freeing it to push data to competing platforms while keeping the Trade Desk relationship on a non-exclusive basis.

Here is the forward-looking part. If Walmart's open-distribution strategy works — if opening the loop grows its ad business faster than hoarding it would — the pressure on Amazon to make its own closed garden more interoperable rises. And the entity that benefits either way is Google, which through its Commerce Media Suite is becoming the connective tissue between retailer purchase data and premium video. That is a structural position in retail media measurement Google simply did not hold a year ago, and it is quietly competitive with Amazon's own loop.

No single published resource compares the major retail media networks across closed-loop posture, external-DSP availability, and the sourced market and performance figures in one place. The table below does — using only sourced cells, with ranges and explicit attribution wherever a figure is single- or secondary-source. Read the ROAS column as agency-benchmark context (ATTN Agency, 2026), not as an industry-verified standard; ROAS varies enormously by category and account.

The pattern the table makes legible: Amazon sits at the top on share and runs a fully internal loop; Walmart is the No. 2 network actively distributing its data outward; and Google's Commerce Media Suite is the layer through which Kroger, and now Walmart, reach YouTube. The ROAS columns also surface a category nuance worth flagging — in the ATTN benchmark set, Walmart Connect can edge Amazon in home and garden, while Amazon's range tops out higher in electronics. If you're weighing whether to lean on these networks at all versus building your own programmatic stack, our retail media vs in-house ad spend decision matrix walks through that trade-off in detail.

The DV360 announcement isn't a one-off — it's the latest in a tightly clustered series of 2026 moves that all point the same way: making Walmart's first-party data activatable on more platforms, faster. Seeing them in sequence makes the strategy obvious. This is the second major external-DSP partnership Walmart Connect announced in roughly two weeks.

Context behind the velocity: Walmart completed its acquisition of VIZIO during fiscal 2026, adding automatic content recognition data from millions of connected-TV households — and per VIZIO Inscape ACR data, streaming now accounts for more than half of all TV viewing time. Add Kroger, Costco, and Dollar General joining Google's suite through 2026, and the picture is a retail media landscape reorganizing around shared measurement infrastructure rather than walled gardens.

Because this is a closed proof-of-concept, the immediate playbook is less "launch a campaign" and more "get positioned and plan the budget shift." The decision tree below maps to the most common brand situations.

The budgeting nuance deserves a beat. As retail media and video buying converge inside one platform, the old split between "brand" and "performance" lines gets harder to maintain — which is precisely when a deliberate allocation framework earns its keep. Our 2026 channel budget allocation guide and our incrementality testing for paid media guide are the two references to pair with this shift. If you want help operationalizing retail media as a managed channel, our paid media services team runs exactly this kind of closed-loop measurement and budget work.

Almost all coverage treats this integration as a live, open product. It isn't. Per ppc.land, it is a closed proof-of-concept with select advertisers, no broad availability, and no published launch date. That single fact reshapes the near-term playbook: you can't self-serve this today, and any plan that assumes open access in the next quarter is speculative. The correct move is to get on your Google account team's radar early.

A few more honest caveats. The Gemini planning layer is described generically in vendor materials — a "more connected approach" — without named features, so don't build a plan around capabilities that haven't been specified. The reach and ROAS figures circulating around this launch are vendor- and agency-stated; the ROAS ranges in particular come from a single agency benchmark and shouldn't be treated as industry-verified. And the various retail media share and spend forecasts come from eMarketer publications using different methodologies and vintages, so the right mental model is "directional ranges," not precise constants.