Retail media is on track to surpass $160 billion in ad spending by 2025, outpacing TV advertising. Yet, fragmentation and an influx of new entrants are creating major challenges for advertisers and Retail Media Networks (RMNs) alike. Find out how mediarithmics can help.
Retail media is experiencing unprecedented growth, with global ad spending projected to surpass $160 billion by 2025, even overtaking TV advertising. However, this boom has brought a wave of new entrants and increased fragmentation, creating challenges for advertisers, retailers and media networks alike.
While industry giants like Amazon (and Walmart in the US) dominate retail media spending, smaller Retail Media Networks (RMNs) must fight for survival in an increasingly crowded and complex landscape. Advertisers demand standardisation, transparency, and measurable ROI, yet many RMNs struggle to deliver.
In this article, we outline the ten biggest challenges facing RMNs today and explore how a holistic Customer Data Platform (CDP) like mediarithmics, which integrates Data Management Platform (DMP) capabilities, can help RMNs overcome these hurdles and thrive in an evolving marketplace.
Retail media networks are losing out to the giants on all fronts: Losing performance budgets to Google and Meta performance and, even in retail media, Amazon accounts for more than half of the European market. In the US, Amazon and Walmart account for more than 84% of the market.
As new sectors like banking, telecoms and travel enter the space, competition is increasing, which could fragment adspend further.
Advertisers are frustrated by the inconsistent metrics across different RMNs, making it difficult to compare performance and justify investments in smaller networks.
Brands want a seamless advertising experience across multiple touchpoints—from e-commerce to in-store and Connected TV (CTV)—but most RMNs lack true omnichannel capabilities.
While in-store retail media is growing rapidly, high infrastructure costs (e.g., digital screens, measurement tools) make it difficult for RMNs to scale this channel effectively.
Retailers are looking to non-endemic brands (e.g., financial services, automotive) for growth, but many lack the data sophistication to convince these advertisers of retail media’s full-funnel potential.
Many RMNs keep their first-party data siloed, preventing advertisers from integrating campaigns across different platforms and making it harder to compete with broader digital advertising ecosystems.
As third-party cookies phase out, RMNs face challenges in audience tracking and attribution, requiring alternative targeting strategies.
Brands are shifting towards cost-per-click (CPC) and cost-per-acquisition (CPA) models, but many RMNs lack real-time performance tracking to compete with digital ad platforms like Google and Meta.
Agencies and advertisers can easily differentiate traditional media players (ITV vs. Channel 4, The Guardian vs. Daily Mail), but many RMNs lack clear positioning and brand identity in the market.
The fragmentation of retail media will push smaller RMNs to either consolidate or innovate. Those that fail to integrate data, optimise measurement, and enhance targeting capabilities will struggle against dominant players.
However, RMNs that embrace a unified, data-driven approach—leveraging platforms like mediarithmics—can unlock new growth opportunities, attract premium advertisers, and deliver measurable, high-performance media solutions.
Using a clean rooms approach, mediarithmics facilitates data collaboration with multiple retail media networks. By helping to remove the barriers to working with multiple RMNs, we help advertisers to allocate a greater share of adspend across a range of RMNs (rather than simply allocating spend to the giants).
As retail media continues to evolve, the ability to seamlessly connect commerce and media, personalise at scale, and prove ROI will determine which RMNs thrive—and which fade away.