95 TL;DR: ROAS is no longer a reliable measure of retail media success. Brands are shifting to metrics like incrementality, lifetime value, and profitability to understand real growth and avoid paying for existing demand. Article Return on ad spend (ROAS) is losing its grip as the primary metric for retail media success in 2026, as brands and retailers confront a more complex, margin-sensitive landscape. The shift comes as rising media costs, signal loss, and closed-loop ecosystems expose ROAS as a narrow, often misleading measure of performance. What matters now is not just revenue attributed to ads, but whether that spend drives incremental growth and long-term profitability. Retail media networks have expanded rapidly, with global spend projected to surpass $150 billion, according to industry estimates. Yet this growth has intensified scrutiny. Marketers are finding that high ROAS campaigns often capture existing demand rather than generate new customers. In practical terms, brands may be paying to convert shoppers who were already intent on purchasing. As one industry perspective notes, “ROAS is a backward-looking metric that doesn’t distinguish between demand capture and demand creation.” This limitation is pushing advertisers toward more sophisticated measurement frameworks, including incrementality testing, lifetime value (LTV), and contribution margin. Retailers, meanwhile, are under pressure to prove the true value of their media networks. Closed ecosystems can obscure transparency, making independent validation critical. Third-party measurement, clean rooms, and multi-touch attribution models are gaining traction as brands demand clearer insights into what actually drives growth. The implications are immediate: budget allocation is shifting away from last-click efficiency toward full-funnel impact. Brands that fail to evolve risk over-investing in low-impact media while missing opportunities to build durable demand. The next phase of retail media will reward those who move beyond ROAS — toward metrics that reflect real business outcomes, not just surface-level returns. You Might Be Interested In How Ralph Lauren is scaling luxury service with AI without diluting its heritage Merit Beauty Defies Beauty’s Fast Lane with a Slow-Burn Marketing Strategy Meta adds AI auto-replies and smart pricing to Facebook marketplace Sweet strategies: Confectionery brands ramp up festive ad spends to capture rural demand and digital-first buyers YouTube and Disney resolve carriage dispute, restore channels for millions of viewers Criteo Anchors Zepto’s Quick-Commerce Ads with AI-Powered Retail Media