Retail Media Operations: Market Structure, Ecosystem Anatomy & Strategic Positioning (2026)
Autonomous Knowledge Graph intelligence mapping profiled market players, technology stacks, and enterprise positioning across Retail Media Operations.
Managed services for operating or advertising on retail media networks.
Structural Definition: Retail Media Operations
Retail Media Operations are the people, processes, and technology a retailer uses to plan, activate, monetize and measure paid advertising across owned digital properties and in‑store channels. They include inventory packaging, campaign trafficking, targeting with first‑party shopper data, ad serving, billing, attribution, and compliance controls to convert shopper touchpoints into advertising revenue.
Core Agencies & Service Partners
Mapped market entities structured by capabilities, employee scale, and geographic presence
Global agency network combining media, creative, CX and identity technology.
1-8-1, Higashi-Shimbashi, Minato-ku, Tokyo 105-7050, Japan · Est. 1901 · >5,000 team
Global media agency network for planning, buying, commerce and analytics.
2 bis rue Godefroy, 92800 Puteaux, France · Est. 1978 · >5,000 team
Global advertising holding company with media, commerce, PR and data capabilities.
United States · Est. 1986 · >5,000 team
German media agency providing planning, buying, commerce and ad operations.
Otto‑Meßmer‑Straße 1, 60314 Frankfurt am Main · Est. 2008 · >5,000 team
Performance marketing agency with proprietary measurement technology.
111 W 33rd St Suite 1510, New York, NY 10001, US · Est. 2004 · 1,001–5,000 team
Independent German media agency with programmatic and performance capabilities.
Germany · Est. 1999 · 501–1,000 team
Retail loyalty software and services for retailers and consumer brands.
Strawinskylaan 1725, 1077 XX Amsterdam, The Netherlands · Est. 1991 · 501–1,000 team
Commerce agency platform for marketplace, retail media and growth services.
Est. 2012 · 201–500 team
Marketing services group combining agency operations with AI software.
United States · Est. 2015 · 50–200 team
Global media agency for planning, buying, analytics and commerce.
GB · Est. 2023 · >5,000 team
Global dentsu media agency for performance-led digital marketing.
71-75 Shelton Street, Covent Garden, London, WC2H 9JQ · >5,000 team
Managed digital marketing agency for paid media, SEO, and retention.
6000 Meadows Rd Ste. 200, Lake Oswego, OR 97035 · Est. 2010 · 501–1,000 team
Marketplace agency combining retail media services with proprietary analytics tools.
New York, NY, United States · Est. 2018 · 201–500 team
Sports media rights and commercial services company for sports organisations.
Switzerland · Est. 2002 · 1,001–5,000 team
African digital advertising partner spanning media buying, sales, and creative.
Bridgewater Block 3, Unit FF01 and FF02, First floor, Bridgewater One, Energy Lane, Century City. · Est. 1999 · 10–49 team
German digital media agency for planning, buying and campaign optimisation.
Holstentwiete 15, 22763 Hamburg, Germany · Est. 2002 · 10–49 team
Global media agency offering planning, buying, analytics and AI-enabled consulting.
Friedenstraße 24, Munich · Est. 1983 · 1,001–5,000 team
German digital agency for performance marketing and web development.
Anna-Vogeley-Straße 4, 21337 Lüneburg, Germany · Est. 2009 · 50–200 team
Analyze Complete Market Space in Knowledge Graph
Analyze all mapped platforms, monetization models, tech stacks, and live market signals in the interactive Knowledge Graph.
Strategic Duels & Architectural Comparisons
Deep-dive structural comparisons between key ecosystem players across tech stacks, business models, and market positioning
Ecosystem Anatomy & Value Chain Integration
Think of retail media operations like the backstage crew at a large store: inventory is staged, data cues the lighting, and ads perform when the timing and audience align. You’ll find teams and systems that tag and package ad slots, connect retailer first‑party data to targeting engines or DSPs, route creative through ad servers or private marketplaces, and close the loop with measurement and billing. It coordinates merchant, marketing, tech and analytics so campaigns run reliably at scale while honoring privacy rules. Operations tune execution across online, app and point‑of‑sale channels so advertisers get predictable reach and retailers capture incremental revenue.
Market Consolidation, M&A Dynamics & Structural Trends
You’ll see brands and media agencies as the primary buyers while retailers and their owned media networks act as sellers of first‑party inventory across web, apps and physical stores. Ad tech vendors, measurement partners, data providers and agencies influence pricing, targeting and attribution standards. Retailers offer managed services or self‑serve portals; deals range from CPM/CPC to cost‑per‑sale and revenue‑share arrangements, with private marketplaces and programmatic guarantees common for large advertisers. Market dynamics vary by region and channel, shaped by retail concentration, local privacy rules and the maturity of retailer ad platforms.
Retail Media Operations: Strategic Intelligence FAQ
Relevant Market Signals (Retail Media Operations)
Primary Source Grounding: Strategic market shifts with direct source attribution.
Jellyfish Research: AI Shopping Reshapes Brand Competition
New research from Jellyfish, a global digital marketing company within The Brandtech Group, reveals that AI shopping assistants are dramatically reshaping competitive dynamics. The Share of Model™ tool analyzed AI recommendations across eight categories in the US, UK, Australia, and Singapore, spanning ChatGPT, Google AI Mode, and Amazon Alexa. Key findings show there is no single 'AI shelf'—different assistants recommend vastly different brands and products for the same query. AI can erase brand leadership, as seen in US fashion where the top brand held only 7% of the shelf across 120 brands. AI also ignores traditional price positioning, with men's suits in the UK ranging from £27 to £3,295 in one response. The company launched Shopping Optimization, a new capability within Share of Model, enabling marketers to analyze AI recommendations at the SKU level and optimize for agentic commerce.
- •Jellyfish research analyzed AI shopping recommendations across eight categories in the US, UK, Australia, and Singapore.
- •ChatGPT accounted for roughly 80% of AI product recommendations, Google's AI Mode around 20%.
- •In US fashion, recommendations spanned 120 brands, with the top brand holding just 7% of the shelf.
Brands Face New AI Shopping Gatekeepers
AI assistants are emerging as new gatekeepers between brands and consumers, with product recommendations influenced by the assistant used. Jellyfish's analysis found Alexa for Shopping recommends nearly all toys from Amazon's own store, while ChatGPT and Google's AI Mode recommend more diverse retailers. Microsoft's Copilot cites retailers most often, according to Tinuiti, with the top 100 retailers comprising 34% of citations. Marketers are responding: Dentsu Creative's survey shows 59% of CMOs optimize for AI-enabled search. Adobe reports AI-referred shoppers generate 53% more revenue per visit, a reversal from a year earlier when non-AI visits were worth more. HUMAN Security highlights Meta's Muse as a rapidly growing AI agent for shopping, accounting for 72% of daily AI-agent requests and showing high checkout intent.
- •Jellyfish analysis found Alexa for Shopping recommended toys from 177 brands, nearly all from Amazon's own store.
- •Microsoft's Copilot cited retailers most often, with top 100 retailers comprising 34% of citations in July.
- •Dentsu Creative's survey found 59% of CMOs are optimizing for AI-enabled search.
Deepen market context in Graph Explorer
Analyze interconnected B2B platforms, monetization models, tech stacks, and live signals directly in the Polaris7 Graph Explorer.