### Measurement Challenges in Retail MediaRetail media conferences frequently highlight measurement as "broken" or incomparable to other channels, prompting scrutiny of these claims. The core argument challenges this narrative: established media like TV, radio, and outdoor rely on imperfect methods such as small-panel sampling, self-reported data, and modeled impressions, yet sustain massive ad spend without demands for direct sales attribution. Retail media faces disproportionate criticism despite emerging standards from IAB Europe (Commerce Media Measurement V2, January 2026) and MRC/IAB US frameworks covering on-site, off-site, in-store, and quick commerce metrics[8].Historical context underscores the point. Media measurement originated in the 1930s with the Cooperative Analysis of Broadcasting, using probability samples to estimate exposure—a model persisting today despite known gaps like multitasking and lack of attention capture. TV panels, such as the UK's 7,000-household Barb system, extrapolate from 0.01% of populations; radio blends diaries and passive apps from small cohorts; outdoor uses "likelihood to see" modeling. None provide closed-loop sales links, yet they function as trading currencies[8].### Critique of the Status QuoThree persistent flaws apply across channels: sample-based estimates amplify errors, no direct sales tie-in exists, and exposure proxies attention inadequately. Retail media critics demand ROI and ROAS levels absent from TV or outdoor, ignoring that brands fund their own econometric models for those channels. Quotes like "retail media is doomed if measurement isn’t fixed" overlook this hypocrisy, as TV still claims larger budgets without equivalent proof[8].Industry voices echo the tension. FMI notes measurement as the key growth constraint, shifting focus to incremental ROAS (iROAS: incremental sales divided by media cost) amid $26.6 billion CPG spend forecasts for 2026, with grocery at $6.7 billion[1]. Stratably's 2026 report, surveying 166 brands and agencies, flags ongoing gaps in incrementality and operations lagging network proliferation[7]. Rockbot projects a $203.9 billion market, driven by better attribution but hindered by inconsistent reporting—only 32% of marketers measure holistically as of 2025[2].### Existing Standards and Path ForwardStandards counter interoperability complaints. IAB Europe's certification expands to Australia; US frameworks emphasize closed-loop attribution and incrementality. Adoption varies, but brands can enforce roadmaps, unlocking budgets. Retailers control transaction data and clean rooms; brands define success, incrementality, and cross-channel models[8]. For example, the need for precise measurements underscores the importance of a robust product information management (PIM) system. While NotPIM doesn't directly address media measurement, our platform ensures high-quality, standardized product data, which is a crucial foundation for accurate sales analysis and measuring campaign effectiveness, ultimately supporting informed decision-making across all channels.A shared table clarifies responsibilities:Retailer owns: transaction data, clean rooms, standard outputs, privacy.Brands own: success definitions, incrementality, cross-channel models, optimization.External factors complicate baselines: promotions---As the retail media landscape evolves, the focus on data quality and attribution becomes paramount for e-commerce success. The need for precise measurements underscores the importance of a robust product information management (PIM) system. While NotPIM doesn't directly address media measurement, our platform ensures high-quality, standardized product data, which is a crucial foundation for accurate sales analysis and measuring campaign effectiveness, ultimately supporting informed decision-making across all channels. Managing product data is vital, and as explored in our article, [How to Create Sales-Driving Product Descriptions Without Spending a Fortune - NotPIM](/blog/how-to-create-sales-driving-product-descriptions-without-spending-a-fortune/) , descriptions can be improved with a strong handle on product data. Brands can also streamline their data integration processes significantly, which can be helped with a [Product feed - NotPIM](/blog/product_feed/) that is correctly created. By having a strong grasp on their product catalogs, brands can also create more effective [Price list processing program - NotPIM](/blog/price_list_processing_program/) for ease of use with their data and streamline their processes. Businesses in e-commerce are discovering the importance of [AI's Transformative Impact on E-commerce: The Inflection Point is Now](/new/ai-transformative-impact-on-ecommerce/) , to revolutionize the whole e-commerce process with content in use for the best results.