Retail Media Networks: Data- Driven Transformation in digital Commerce

Abstract

Retail media networks (RMNs) are revolutionizing the world of digital advertising, putting retailers, brands, and consumers right at the centre of a data-driven shift. With the growth of e-commerce and the increasing need for targeted engagement, businesses are facing hurdles in standardization, measurement, and operational complexity. By tapping into first-party data, utilizing AI-driven analytics, and creating seamless omnichannel experiences, RMNs enable brands to connect with high-intent shoppers, achieve tangible results, and boost brand visibility, all while ensuring privacy and compliance are upheld.

This whitepaper dives into the influence of RMNs on the retail industry worldwide, highlighting strategies, models, and trends like automation, closed-loop attribution, and loyalty-focused engagement. Learn how industry leaders are leveraging RMNs to fine-tune their campaigns, foster growth, and keep pace with the ever-changing landscape of digital commerce.

Advance Modal Components
The Future of Retail Media: Opportunities, Challenges, and What Comes Next

How Retail Media Networks Unlocks Value

Retailers leverage the first-party data and sell ad space on their websites, apps, and other retail media channels to generate high profits.

With the use of customer data, such as shopping behavior and purchase history, brands can run targeted offers, which positively influence purchase decisions and help improve customer experience.

Retailers can build high-value partnerships with brands by using shopping insights.

By identifying customers who intend to buy and customers who actively purchase certain products, brands can run targeted campaigns to sell more effectively.

With the use of first-party data, brands can create personalized ad campaigns that are also compliant with privacy regulations.

Brands can assess the effectiveness of ad campaigns by tracking purchases and conversions through RMN dashboards. Also, measurable, real-time data helps brands make strategic changes to their marketing strategies to improve ROI.

Brands can become more visible to large customer sets, and increased brand awareness among targeted audiences can mean higher conversion rates.

Translating Industry Hurdles into Scalable Solutions

Tech Mahindra's was appointed by one of the world's largest online marketplaces to reimagine its RMN. Using our expertise in data, Al, and customer experience, we collaborated with the client to tackle industry-wide challenges such as fragmented attribution, operational complexity, and the risk of overwhelming shoppers with irrelevant ads. The engagement not only strengthened the client's advertising relationships but also showed how a well-designed RMN can deliver measurable ROI while improving customer journeys.

About the Author
Partha Mazumder
Group Practice Head, Tech Mahindra BPS

Partha is a strategic innovator with 25+ years of global experience driving digital, marketing, technology, and analytics strategies for Fortune 500 companies. By blending marketing analytics with AI, he builds exceptional customer experiences and redefines digital engagement.