Retail Media Network Advertising Guide 2026: How Brands Can Win on Amazon, Walmart, and Beyond

TL;DR

• The US retail media market is forecast to reach $69.33B in 2026, up from $58.79B in 2025, making it one of the fastest-growing advertising channels.
• Amazon Ads dominates with 79.7% of the US retail media market, but Walmart Connect is growing at 46% year-over-year, making it a critical secondary platform.
• RMNs deliver 1.8x better results than traditional digital ads and nearly 3x better purchase intent, according to Kantar’s 2026 data.
• Most purchases (76%) still happen in physical stores, which is why in-store digital media is the defining retail trend of 2026.
• Data fragmentation across platforms remains the biggest enterprise challenge: marketing ops teams spend 20-40% of their week on reporting busywork.

What this guide covers

1. What retail media networks are and why they matter
2. The retail media landscape in 2026
3. Amazon Ads strategy
4. Walmart Connect strategy
5. Other major retail media networks
6. On-site, off-site, and in-store advertising
7. Measuring ROI and attribution
8. Data unification challenges and solutions
9. Common retail media mistakes
10. Frequently asked questions
11. Sources and references

What retail media networks are and why they matter

Retail media networks (RMNs) are advertising platforms operated by retail companies, enabling brands to advertise on the retailer’s own properties and sometimes beyond. In simpler terms, an RMN lets advertisers reach shoppers through ads on a retailer’s website, app, in-store displays, or even off-site using the retailer’s customer data.

The retailer leverages its first-party data—including purchase history, browsing behavior, and loyalty programs—to help brands target customers in a privacy-compliant way. This creates a win-win: retailers unlock a new revenue stream by selling ad placements, and brands get to show ads to high-intent shoppers at or near the point of purchase.

Retail media spans several channels and formats:

On-site: Ads displayed directly on the retailer’s website or mobile app. Example: Sponsored products on Amazon Ads or Walmart Connect search results.

Off-site: Ads served on third-party sites or apps using the retailer’s first-party audience data. Example: Programmatic display powered by Target Roundel across partner exchanges.

In-store: Digital screens, kiosks, or physical placements within retail locations. Example: Digital shelf screens via Kroger Precision Marketing or checkout screens at 7-Eleven.

The defining advantage of retail media is closed-loop measurement. If a shopper clicks a Pampers ad on Walmart’s website and later purchases that product in-store or online, Walmart can attribute that sale to the ad. This direct attribution link is a major draw for advertisers struggling to prove ROI on other channels.

The retail media landscape in 2026

Retail media isn’t just growing—it’s exploding. Here’s the landscape:

Market size and growth

U.S. advertisers are forecast to raise advertising spend on retail media from $58.79B in 2025 to $69.33B in 2026. A net 38% of marketers plan to increase RMN investment in 2026.

Amazon reported $21.3 billion in 2025 ad revenue, a 22% year-over-year growth. Walmart’s ad business grew 46% in 2025, hitting $6.4 billion.

Market share breakdown

Amazon Ads dominates the US retail media market with 79.7% share in 2025. Walmart Connect ranks second with 8.0% share. The remainder is split among Target, Instacart, Kroger, and emerging networks.

Why RMNs outperform other channels

RMNs deliver 1.8x better results than digital ads and nearly 3x better purchase intent. They marry the reach of digital advertising with the precision of shopper data and the closed-loop proof of sales. For enterprises focused on marketing ROI, that’s an irresistible combination.

The retail trend that dominates in 2026 is digital advertising inside physical stores. Since most purchases (76%) still happen in person, the ability to reach shoppers in-store with digital precision is transforming how brands allocate shelf-space marketing budgets.

Amazon Ads strategy

Amazon Ads is the pioneer in retail media, letting brands bid on sponsored products, display ads, and video placements across Amazon’s e-commerce ecosystem.

Amazon’s advertising ecosystem

Amazon offers multiple ad formats:

Sponsored Products: Keyword-targeted ads that appear in search results and on product pages. These are the backbone of most Amazon ad strategies—highly scalable but competitive.

Sponsored Brands: Showcase your brand and product catalog with custom headlines. Appears in search results and builds brand awareness alongside performance.

Sponsored Display: Reach audiences both on and off Amazon based on shopping behavior, interests, and product views. Works for retargeting and prospecting.

Amazon DSP: Demand-side platform access for programmatic buying across Amazon properties and third-party sites. Requires larger budgets but enables advanced audience targeting.

Amazon Live: Livestream commerce on Amazon’s platform. Growing but still nascent compared to other formats.

Amazon strategy fundamentals

Success on Amazon requires understanding the platform’s search algorithm and advertising ecosystem work together. Product ranking in organic search directly affects ad costs and performance—the better your organic ranking, the lower your cost per acquisition tends to be.

Allocate budget across awareness (Sponsored Brands), consideration (Sponsored Display), and conversion (Sponsored Products) in proportions that match your product’s market maturity. New products need more awareness investment; established products can focus on defending share.

Walmart Connect strategy

Walmart Connect is Walmart’s ad network that blends in-store, online, and offsite placements powered by its shopper data. It’s often cited for delivering the highest ROI among retail media networks due to its extensive shopper data, wide reach, and seamless integration of online and in-store platforms.

Walmart’s unique advantages

Walmart Connect’s key differentiator is its omnichannel reach. Unlike Amazon, Walmart’s ecosystem includes both e-commerce and physical stores, and the retailer can track a customer’s journey across both. A shopper who sees your ad on Walmart.com and then buys in-store can be attributed correctly.

Walmart’s Everyday Low Prices positioning attracts high-intent shoppers with strong purchase intent. The retailer serves 230 million weekly customers globally, giving brands access to massive audiences.

Walmart advertising formats

Search ads: Sponsored products appearing in Walmart search results. Keyword-targeted and similar to Amazon’s Sponsored Products.

Page ads: Display placements on key category and product pages. Good for visibility within relevant shopping contexts.

Spark Ads: Off-site native advertising using Walmart’s first-party data to reach Walmart customers across the web. Enables reaching shoppers beyond Walmart.com.

In-store ads: Digital signage, shelf displays, and checkout integrations. The fastest-growing part of Walmart’s media network as brands recognize physical retail’s persistent importance.

Walmart strategy fundamentals

Start with search ads to establish baseline performance and understand keyword-level economics. Then expand to page ads for visibility and Spark Ads for prospecting. Use Walmart’s in-store media to complete the omnichannel loop for customers who also shop brick-and-mortar.

Other major retail media networks

Target Roundel

Target’s network focuses on integrated campaigns across Target.com, in-store, and partner channels. Target Roundel enables precision targeting using Target’s Circle loyalty data, giving advertisers insights into purchase patterns and category preferences.

Target’s audience skews toward higher-income households and younger families, making it valuable for CPG, home goods, and children’s products.

Instacart Ads

Instacart Ads provides brands with sponsored product listings and display ads on the leading grocery delivery app. The platform reaches shoppers at the exact moment they’re making purchase decisions—adding items to their cart.

Instacart’s advantage is intent signal clarity. Unlike traditional e-commerce where browsing behavior is ambiguous, adding items to an Instacart cart signals immediate purchase intent. For FMCG brands, Instacart represents a unique opportunity to intercept shoppers mid-decision.

Kroger Precision Marketing

Kroger’s network leverages loyalty card and in-store purchase data for precision targeting. As the largest grocery chain in the US by revenue, Kroger’s data assets are substantial—covering everything from produce to household goods.

Kroger’s Closed-Loop Analytics offering is particularly sophisticated, enabling brands to measure in-store sales lift from digital campaigns with a degree of accuracy other networks struggle to match.

Emerging networks

7-Eleven Gulp Media: Even convenience stores offer digital and in-store ad inventory tied to frequent shopper data. Relevant for beverage, snack, and fuel brands.

Home Depot Retail Media+: Enables brands to reach DIY and home improvement audiences through site, app, and offsite ads. Valuable for building materials, tools, and home improvement brands.

Sephora Media Collective: Beauty-focused network using customer profiles and loyalty program insights for hyper-personalized ads. Works well for cosmetics and skincare brands.

On-site, off-site, and in-store advertising

Understanding the three activation types is crucial for building a complete retail media strategy:

On-site advertising

On-site ads appear directly within the retailer’s digital properties—website and mobile app. These typically carry the highest intent signals because they reach shoppers actively browsing or searching.

On-site formats include search-sponsored placements (auction-based keyword targeting), category page placements (visibility within relevant shopping categories), product page placements (adjacent to competitor or complementary products), and cart abandonment retargeting (reaching shoppers who’ve left items in cart).

The challenge with on-site is competition for visibility. Popular search terms can be expensive, and smaller brands may struggle to win auctions against category leaders.

Off-site advertising

Off-site extends brand reach beyond the retailer’s owned properties using the retailer’s audience data to serve ads on third-party websites, apps, and connected TV.

Off-site formats include native advertising (content-style ads on publisher sites), display advertising (banner ads across the web), video advertising (pre-roll and mid-roll on streaming content), and social retargeting (reaching shoppers on platforms like Meta and Pinterest).

Off-site allows brands to influence consideration outside the retail environment. A customer who browsed your product on Amazon might see your brand message while reading news or watching YouTube, keeping your brand top-of-mind until they’re ready to purchase.

In-store advertising

The 2026 breakout category. In-store digital advertising reaches shoppers at the physical point of purchase where 76% of purchases still occur.

In-store formats include digital shelf displays (video screens on store shelves highlighting products), checkout screen advertising (ads on self-checkout screens), shopping cart advertising (digital displays on cart handles), in-aisle digital signage (category-specific messaging at decision points), and audio advertising (targeted messaging in stores).

Retailers are investing heavily in in-store digital infrastructure because it creates new revenue from physical real estate while providing brands with the targeting precision previously only available digitally. Digital shelf screens can show different ads based on time of day, inventory levels, or even shopper demographics captured through loyalty data.

Measuring ROI and attribution

Measuring the ROI of retail media campaigns should be straightforward—these networks often report direct sales attributed to ads. The challenge is that each network measures ROI in its own silo.

The attribution problem

If you spend $100K on Amazon Ads and $100K on Walmart Connect, you’ll get two separate ROAS figures. But how do those add up in terms of incremental revenue to your business? And how do you avoid double-counting if the same customer saw your ad on multiple platforms?

Within one retailer, you have closed-loop attribution, often last-click or last-touch within that ecosystem. Across retailers and channels, attribution becomes fuzzy. A customer who sees a sponsored product on Walmart.com and a week later searches on Amazon and buys the product there—Walmart might not count it as a sale since purchase happened on Amazon, while Amazon counts it without knowing of the prior ad touchpoint.

Cross-channel attribution approaches

Multi-touch attribution (MTA): Distributes credit across all touchpoints in the customer journey based on statistical models. MTA can help identify the true influence of each channel, including upper-funnel awareness ads.

Marketing mix modeling (MMM): Uses regression analysis to estimate the impact of each marketing channel on sales, accounting for seasonality, price changes, and other variables. MMM works well for understanding channel-level returns but struggles with individual campaign optimization.

Incrementality testing: The gold standard for measuring true causality. Hold-out tests (region-level or audience-level) compare exposed versus unexposed groups to determine actual sales lift. Geo experiments and matched market analyses are common approaches.

Key metrics to track

Return on ad spend (ROAS): Revenue generated per dollar of ad spend. Track at the network level and campaign level, but recognize that within-network ROAS doesn’t capture cross-network effects.

Cost per acquisition (CPA): Total ad spend divided by attributed orders. Compare across networks to inform budget allocation, but normalize for differences in customer value by source.

Customer lifetime value (LTV): Track whether customers acquired through different RMNs have different repeat purchase rates or average order values. A higher CPA might be justified if LTV is significantly higher.

Halo rate: Measure how retail media advertising affects purchases in other channels. A customer who sees your Amazon ad might then search for your brand directly on Google—a halo effect that last-click attribution misses.

Data unification challenges and solutions

For enterprises managing campaigns across 5 or more retail media networks simultaneously, data fragmentation is the defining operational challenge.

The fragmentation problem

Every retail media network is essentially a walled garden. An advertiser running campaigns on five different RMNs might have to log into five separate platforms to pull reports. Data is fragmented across platforms, each with its own naming conventions and analytics.

Amazon might report “Total Sales” for a campaign, Walmart Connect reports Gross Merchandise Value, and a grocery RMN reports only in-store versus online sales. Making apples-to-apples comparisons is difficult.

Marketing ops teams end up spending 20-40% of their week on reporting busywork. Worse, any manual data wrangling invites errors—a missed file or formatting mistake can skew the entire analysis.

The data unification solution

The cure for fragmentation is centralizing and harmonizing all RMN data in one place. Rather than chasing reports in disparate systems, leading enterprises invest in data pipelines that automatically extract data from each retail media network via APIs into a unified marketing database or data warehouse.

This transformation cuts time-to-insight by 75% or more. Reporting that used to take days of manual effort becomes available instantly.

Five steps to unified retail media analytics

Step 1: Inventory your sources and KPIs. Map out all retail media networks you’re using or planning to use. List each platform along with key metrics and note how you currently access data. This inventory phase helps identify overlapping metrics and unique KPIs per network.

Step 2: Connect and centralize data. Set up a central data repository and connect each retail media source to it using native API connectors. Aim to centralize all relevant data including ad spend, impressions, clicks, conversions, and audience data.

Step 3: Harmonize metrics and dimensions. Create a data model that standardizes key fields—same date format and timezone, same currency for all spend, metrics like Views or Impressions defined uniformly. Enforce consistent naming conventions across platforms.

Step 4: Integrate with sales and marketing data. Merge retail media data with e-commerce sales data, in-store sales data from your ERP or retailer portals, and other marketing channels. By joining on common keys like date, product SKU, or campaign ID, you can analyze how retail media interacts with the rest of your business.

Step 5: Deploy analytics and AI insights. With clean, unified data, build dashboards and reports for different stakeholders. Modern platforms can add an AI layer that allows users to ask natural language questions of the data and get immediate answers.

Common retail media mistakes

Common mistake: Treating each retail media network in isolation. Each platform has different audience composition, competitive dynamics, and attribution rules. But customers interact with your brand across multiple channels. A unified strategy and consolidated data are essential for understanding true performance.

Common mistake: Ignoring in-store attribution. With 76% of purchases still happening in physical stores, brands that focus only on digital attribution miss the full picture. Work with retailers to understand in-store lift from digital campaigns.

Common mistake: Over-relying on last-click attribution. Last-click within a retailer’s ecosystem credits the final touchpoint before purchase, but customers typically interact with multiple channels before buying. Implement multi-touch attribution to understand true channel value.

Common mistake: Neglecting creative optimization. An ad that looks like a helpful product recommendation performs far better than a generic banner. Invest in creative optimization for each network—dynamic product ads, A/B testing different images, customizing copy to the context.

Common mistake: Underestimating operational complexity. Running campaigns on even one retail media platform is complex. Running across five or ten requires dedicated resources. Brands that spread thin across too many networks without adequate team capacity often fail to optimize any of them effectively.

Common mistake: Not coordinating frequency across channels. A consumer could see your ad on a retailer’s site, then a retargeting ad from the retailer’s off-site program on a news website, then your direct programmatic ad—all in one day. Coordinate frequency caps and budgets to avoid overexposure.

Frequently asked questions

What’s the difference between retail media and traditional digital advertising?

Retail media networks are operated by retail companies and advertise on the retailer’s own properties using the retailer’s first-party shopper data. Traditional digital advertising (search, social, display) operates on publisher networks or platforms without the same level of purchase-intent signal. RMNs offer closed-loop attribution that most digital channels can’t match because you know exactly what was purchased as a result of an ad.

Which retail media network should I start with?

Amazon Ads is the logical starting point for most brands given its 79.7% market share and mature self-serve platform. However, if your product skews toward grocery (Instacart, Kroger), home improvement (Home Depot), or mass-market (Target, Walmart), those networks might deliver better results per dollar spent. Start with the retailer where your target customer already shops.

How do I measure retail media ROI if I’m selling across multiple networks?

The key is unifying your data into a single repository where you can compare performance across networks. Pull granular data from each RMN via API into a data warehouse or marketing analytics platform. From there, implement multi-touch attribution that credits all touchpoints in the customer journey, not just the last one within each network. Consider incrementality testing to validate true causal impact.

Is retail media only for large brands?

No, but budget requirements differ. Amazon Ads has a low barrier to entry—you can start with $10-20/day. Larger networks like Walmart Connect or Kroger may have minimum commitments. For SMBs, focus on Amazon first, prove the channel works, then expand to secondary networks as scale allows.

What’s the biggest opportunity in retail media for 2026?

In-store digital media is the breakout opportunity. With 76% of purchases still in physical stores and retailers investing heavily in digital shelf infrastructure, brands that combine digital targeting with in-store activation will capture incremental influence at the moment of purchase.

Sources and references

1. Retail Media Networks: The Ultimate 2026 Guide — Improvado, March 26, 2026. https://improvado.io/blog/top-retail-media-networks
2. FAQ on Retail Media Networks — eMarketer, January 9, 2026. https://www.emarketer.com/content/faq-on-retail-media-networks-how-marketers-should-allocate-budgets-2026
3. Retail Media Trends 2026: What’s Driving a $203.9B Market — Rockbot, 2026. https://blog.rockbot.com/retail-media-trends-2026
4. Top 10 Retail Media Networks — FieldTrip, February 12, 2026. https://www.fieldtrip.agency/post/top-retail-media-networks
5. Kantar’s 2026 Marketing Trends — Kantar, 2026. https://www.kantar.com/north-america/company-news/kantars-2026-marketing-trends
6. Retail Media Networks Guide 2026 — CremyX, February 25, 2026. https://cremyx.app/blog/retail-media-networks-amazon-walmart-instacart-advertising-guide
7. Amazon and Walmart at the Top, While the Rest Battle for Scraps — Adweek, 2026. https://www.adweek.com/commerce/adweek-commerce-advantage-amazon-and-walmart-at-the-top-while-the-rest-battle-for-scraps/
8. Retail Media Network Advertising Guide 2026 — AdBid, December 31, 2024. https://adbid.me/blog/retail-media-network-advertising-guide-2026