--- title: "Mastering Retail Media Optimization and ROAS" description: "Stop wasting budget on inflated ROAS. Learn how to scale your retail media optimization strategy, automate reports, and unify onsite and offsite data." canonical: https://epinium.com/en/blog/retail-media-optimization-roas-strategy-2/ lang: en date: 2026-08-13T04:21:15 --- **Executive summary** - U.S. retail media ad spend is crushing earlier expectations, projected to hit **$71.09 billion by 2026** (an 18% YoY jump), leaving traditional digital channels fighting for the leftovers. - A massive trust gap is destroying budgets: **incremental ROAS is typically 30% to 60% lower** than the last-click numbers retail networks proudly display on their dashboards. - Amazon and Walmart continue to absorb roughly **84% of U.S. budgets**, but a long tail of over 200 newer networks is creating massive operational chaos for brands. - Teams are drowning in manual optimization and reporting across these fragmented networks, causing critical talent to burn out and walk out the door. - The real winners in the next 24 months are not those with the biggest budgets. They are the brands fixing the analytics gap and using AI to unify their offsite and onsite data streams. Picture your marketing team right now. They have six different retailer dashboards open on their monitors. They are manually exporting CSV files to figure out if your latest ad spend actually moved product off the shelf, or if it just cannibalized organic sales that were going to happen anyway. Meanwhile, your biggest competitor just launched a highly targeted offsite connected TV campaign that triggers based on real-time inventory levels. You feel like you are bringing a spreadsheet to a gunfight. This is the daily reality for brand managers, CTOs, and marketing directors trying to navigate retail media today. You know you need to be there. You know the margins demand it. But your team is drowning in manual work. Top talent is walking out the door because they hate being glorified data-entry clerks. And worse, you still cannot confidently tell your CEO what your true incremental return is. ## The massive, quiet budget drain nobody wants to talk about Let's look at the hard numbers. U.S. retail media spend is officially projected to reach [$71.09 billion in 2026](https://www.digitalapplied.com/retail-media-vs-in-house-ad-spend-2026), up from roughly $60.3 billion in 2025. That is a gargantuan pie. Everybody wants a slice. Retailers who historically survived on razor-thin grocery margins are suddenly realizing they can print money by selling ads. But here is the dirty secret most agencies hide. The dashboards you look at every morning overstate your success. When a network claims a 6x Return on Ad Spend (ROAS), you celebrate. You shouldn't. The reality is that incremental ROAS typically runs 30% to 60% below the last-click metrics these platforms report. You are essentially paying a hidden tax for sales that would have happened anyway. If a loyal customer searches for your specific brand name, clicks your sponsored ad at the top of the page, and buys, the retailer takes full credit. They charge you for a conversion you already owned. This is exactly why understanding the nuances of [What Is Retail Media Advertising](/en/blog/what-is-retail-media-advertising/) is no longer optional. It is survival. You have giants like Amazon Ads and Walmart Connect absorbing an estimated 84% of the budgets. That leaves over 200 smaller networks fighting for the scraps. To win your money, they often grade their own homework. They provide the inventory, they track the clicks, and they report the sales. There is zero incentive for them to show you the baseline organic cannibalization. ## Why your strategy is burning out your best people Most industry pundits will tell you that the biggest challenge right now is data privacy or cookie deprecation. They are dead wrong. The absolute biggest threat to your brand's growth is talent attrition. Your media buyers and data scientists did not spend years honing their craft to download reports from Target's Roundel, Kroger Precision Marketing, and Instacart, only to manually stitch them together in Excel. This operational friction is brutal. When brands try to scale a multi-channel [Retail Media Platforms](/en/blog/retail-media-platforms/) strategy, they almost always hit a human bottleneck. It takes hours just to pace budgets properly across a dozen different walled gardens. Your competitors are moving faster because they automated the boring stuff. They use AI to adjust bids based on stock levels. If a SKU goes out of stock in a specific regional fulfillment center, their ads pause automatically. Your team is still figuring out yesterday's ACOS. By the time they adjust the bid manually, you have already wasted thousands of dollars driving traffic to an empty digital shelf. > **15%** — The abysmal percentage of marketers who say they can effectively measure their retail media spend and fully trust the retailer-reported metrics. [Source: Digital Applied 2026](https://www.digitalapplied.com/retail-media-vs-in-house-ad-spend-2026) ## Onsite vs. Offsite: The new battleground Two years ago, this was easy. You bid on a keyword, you get the top slot. Simple. Now, the walls have completely broken down. Retailers are monetizing their first-party data across the open web. We are talking about offsite audience extension into social platforms like Meta and TikTok, programmatic display, and Connected TV (CTV). By the end of 2025, global retail media ad spending hit massive milestones, and experts project it will top [$300 billion by 2030](https://www.forrester.com/blogs/global-retail-media-spend-to-top-300-billion-by-2030/). But expanding offsite breaks the very thing that made onsite advertising so appealing: deterministic closed-loop attribution. Once you step off the retailer's owned storefront, you trade precise tracking for probabilistic guessing. The retailer has to match their loyalty card data with an IP address watching a streaming service. The match rates drop. The costs go up because the retailer now has to buy the media from a publisher before marking it up and selling it to you. It is absolutely crucial to nail down a robust [Retail Media Optimization Roas Strategy](/en/blog/retail-media-optimization-roas-strategy/) before you start throwing money at offsite CTV campaigns that you cannot accurately measure. If your foundation is cracked on Amazon, trying to run offsite display ads using Kroger data is going to be a financial disaster. | Feature | Traditional Digital Ads | Onsite Retail Media | Offsite Retail Media | | --- | --- | --- | --- | | **Data Source** | Third-party cookies, platform data | Retailer first-party data (deterministic) | Retailer data applied off-network | | **Attribution** | Probabilistic, often fragmented | Closed-loop, tied directly to checkout | Blended, increasingly probabilistic | | **Ad Placement** | Search engines, social feeds | Digital shelf, search results, checkout | Connected TV, programmatic display | | **Primary Goal** | Brand awareness, lead gen | Immediate conversion, share of shelf | Full-funnel brand awareness & sales | | **Trust in Metrics** | High (but declining) | Low (due to last-click bias) | Very Low (complex tracking) | FREE SESSION **Stop guessing your true ROAS and start scaling profitably.** [Discover Transform →](/en/transform/) free 30-min diagnostic ## What changed in 2025-2026 The market shifted aggressively. If you are running the exact same playbook you used in 2024, you are bleeding market share. Here is exactly what fractured and reformed over the last 18 months. ### The death of the simple sponsored product (January 2025) Early in 2025, major platforms realized they had hit a ceiling on their own sites. There are only so many pixels on a search results page. To keep revenue growing at double digits, networks aggressively pushed brands into offsite inventory. The basic sponsored product ad became table stakes. The premium shifted to complex, multi-touch campaigns blending in-store digital screens with mobile app push notifications. You can no longer win by just bidding high on exact match keywords. ### The rise of agentic commerce (Late 2025) AI shopping assistants stopped being a futuristic novelty. Consumers actively started letting AI agents curate their weekly grocery lists and suggest electronics. Brands had to figure out how to optimize for an algorithm that buys on behalf of a human. This "semantic shelf" fundamentally altered how we think about keyword bidding. You are no longer just convincing a tired parent to buy your brand of diapers. You are convincing their AI assistant that your diapers fit their exact preferences, budget, and delivery timeline perfectly. ### The incrementality reckoning (April 2026) Brands finally woke up. Fed up with bloated last-click dashboards, CMOs started demanding hard proof of incrementality. A wave of intense audits hit the major networks. Advertisers began pulling budgets from platforms that couldn't prove their ads actually drove net-new sales. If you haven't updated your [Retail Media Optimization Guide](/en/blog/retail-media-optimization-guide/) to account for true lift over a baseline, you are flying blind. ### Non-endemic brands storm the gates (Mid 2026) It used to be that only brands selling products inside a store bought ads there. Not anymore. Financial services, travel companies, and auto manufacturers realized that grocery data is incredibly predictive. A family buying premium diapers and organic baby food is a prime target for a minivan or a life insurance policy. This influx of non-endemic money drove up the cost of offsite inventory for everyone. > **Epinium data:** Brands that shift from manual spreadsheet reporting to AI-driven bid automation recover an average of 18 hours per week per employee, while seeing a 22% bump in true incremental sales. ## Stop drowning and start building You know the core problem. Your team is frustrated. The networks are taking your money and handing you fuzzy math in return. The sheer volume of platforms is utterly unmanageable without a serious technological intervention. The brands winning this space aren't doing it by hiring armies of junior media buyers to click buttons. They are doing it by fundamentally restructuring how they handle data. They treat retail media as a centralized intelligence operation, not a series of disconnected silos managed by different agencies. It requires a hard, uncomfortable look at your internal processes. Do you have the right tech stack? Are your people trained to analyze strategic data, or are they just copy-pasting numbers between tabs? If you don't know the answer, you are already losing to a competitor who does. They are moving faster, testing smarter, and stealing your market share while you wait for a weekly reporting call. ### What exactly is retail media? It is an advertising ecosystem where brands buy ad space directly from retailers (like Amazon, Walmart, or Target) using the retailer's first-party shopper data. This includes ads on the retailer's own website (onsite) and ads targeted at those shoppers across the broader web (offsite). For a deeper dive, check out [What Is Retail Media](/en/blog/what-is-retail-media/). ### How big is the retail media market in 2026? Forecasts place the global market anywhere from $153 billion to over $184 billion, with U.S. ad spend specifically projected to hit around $71.1 billion by the end of 2026. ### Why is incremental ROAS different from what the retailer reports? Retailers typically use last-click attribution. If a customer clicks your ad and buys, the ad gets 100% of the credit. But that customer might have bought your product anyway. Incremental ROAS calculates only the net-new sales that occurred strictly because the ad was shown. ### What is a non-endemic brand in retail media? An endemic brand sells its products directly through the retailer (e.g., Kraft buying ads on Kroger). A non-endemic brand does not sell its products there, but wants to reach the retailer's audience (e.g., an insurance company buying ads on a grocery network to reach young families). ### How does offsite retail media work? Retailers use their rich first-party data (knowing exactly who bought what) to target those same shoppers when they are browsing other websites, scrolling social media, or watching Connected TV. ### Why are so many retail media networks popping up? Margin. Retailers operate on razor-thin margins for selling physical goods (often 2-4%). Advertising operates on massive margins (often 70-80%). Every retailer with decent traffic wants to become a high-margin media company. ### How is AI changing retail media optimization? AI is taking over the micro-adjustments. Instead of a human manually changing bids based on the time of day, AI algorithms adjust bids in real-time based on live inventory levels, competitor pricing, and historical conversion rates. ### What is the "trust gap" in commerce media? It is the growing friction between brands and retailers. Brands spend billions but suspect the grading is rigged. Because retailers control both the ad inventory and the measurement, brands are increasingly demanding third-party verification to prove the ads actually work. ### Are in-store digital screens considered retail media? Yes. Digital Out-Of-Home (DOOH) screens inside physical stores, smart carts, and audio ads in the aisles are rapidly being integrated into retail media networks, closing the gap between digital targeting and physical shopping. ## The road ahead The next two years will be absolutely brutal for brands that refuse to adapt. The fragmentation of networks isn't going to magically fix itself. The platforms are going to keep pushing for more of your budget while offering less transparency. But there is a massive, unfair advantage waiting for the leaders who get this right. By stepping away from manual, soul-crushing spreadsheet work and embracing intelligent, automated systems, you can actually see what is driving real growth. You can retain your best talent because you are giving them the tools to do real strategy, not just data entry. The brands that make this shift today will dominate the digital shelf tomorrow. The ones that don't will just keep paying a premium for sales they already owned. TRANSFORM BY EPINIUM **Stop burning budget on ads you can't measure.** [Book free diagnostic →](/en/contact-transform/) free 30-min diagnostic