Customer first

Retail media networks as revenue growth engines

The value of retail media networks (RMNs) is clear.

A staggering one in four retailers generate more than $100 million in revenues from RMNs annually.
The downside? Most networks plateau in the $100–200 million range. How do you plan to break free of the RMN revenue plateau?

Driving the next generation of retail experiences with RMN data and insights

In our latest PoV, Retail media networks as revenue growth engines, our experts explore how retailers can unlock new value by transforming RMNs from traditional ad sales platforms into a powerful data and insight engine that fuels the entire shopper experience.

Download now for expert insights on:

  1. Crafting an RMN strategy that simultaneously maximizes the direct revenue potential of RMN ads while unlocking the broader experience opportunity through RMN data activation.
  2. Capturing and applying RMN data across the customer experience to influence discovery, deepen engagement, and strengthen experiences.
  3. Leveraging AI agents to automate and accelerate key tasks within the retail media workflow, including asset processing, audience targeting, creative adaptation, and quality checks.
  4. Shrinking the campaign launch cycle from 30 days to just 10 through the at-scale, strategic use of advanced technologies including generative and agentic AI.

How can you maximize your RMN potential?

AI-powered tools embedded within the operating model, called Digital Orchestration Agents, automate manual campaign steps and dramatically accelerate time-to-market for ad placements. Leveraging generative and agentic AI, they streamline routine tasks while redesigning workflows for seamless integration. By orchestrating the intersection of human and AI activity, and applying proven best practices alongside Capgemini’s proprietary approach, RMN operations are standardized, streamlined, and impactful.

Value delivered: Explore Capgemini’s proven RMN track record

6x
improvement in RMN supplier monetization
through media revenue in the 18 months following the launch of their AI & Analytics and measurement capabilities
440%
increase in media budgets
12 months following clients that leveraged their “white glove” analytics
570%
higher adoption of analytics and measurement services

Ready to take your RMN to the next level?

Our experts can help. Download our PoV today for more insights and schedule a consultation to get started on your RMN reinvention journey.

Meet our experts

Mark Ruston

Mark Ruston

VP, Global Retail Lead, Capgemini
Mark Ruston is Capgemini’s Global Retail Lead with 22+ years in consulting and transformation. He helps Tier 1 retailers and CPGs bridge strategy and execution, driving growth and measurable outcomes. With global experience and deep supply chain expertise, Mark champions AI to boost productivity and reduce waste — positioning operations as a key driver of consumer experience.
Riday Banerji

Riday Banerji

Business Development Executive
Riday is the Business Development Executive Leader in Capgemini’s Consumer Products, Retail, and Services (CPR&S) on the West Coast, responsible for strategy development and industry-specific solutions. He has over six years of experience in leading, designing, and constructing business transformation, digital transformation, technology modernization, and managed-services programs for Fortune 500 clients. Riday specializes in digital commerce, connected marketing, and digital agency services.
Neerav Vyas

Neerav Vyas

Global Head of Customer First, Insights & Data, North America
Neerav is an outstanding leader, helping organizations accelerate innovation, drive growth, and facilitate large-scale transformation. He is a two-time winner of the Ogilvy Award for Research in Advertising and an AIconics 2019 and 2020 finalist for Innovation in Artificial Intelligence for Sales and Marketing.

    Faqs

    Retail Media Network (RMN) is a platform that enables retailers to monetize their digital properties by selling advertising space to brands, leveraging shopper data for targeted campaigns.

    RMNs create new revenue streams by offering brands precise targeting and measurable ROI, while enhancing shopper experience through personalized ads.

    Key strategies include leveraging first-party data, integrating AI-driven personalization, and expanding beyond onsite ads to offsite and in-store channels.