Retail Media Leveraging Data
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Retail Media: Leveraging Data as a Product

In the evolving landscape of retail business, chains, including supermarkets, are perpetually in the quest for lucrative opportunities to spur growth and enhance profitability. A frontrunner in this innovation race is leveraging customer data, not just as a tool for internal improvements but as a product with immense market potential.

A Paradigm Shift in Retail Media

Traditionally, customer data served inward-facing functions, aiding retail businesses in understanding customer preferences and enhancing service delivery. However, this is no longer the case. Retail chains are acknowledging the untouched potential of elevating retail media to unprecedented levels by offering targeted marketing solutions both in-store and online to consumer goods companies, hence opening up new avenues for revenue.

Imagine walking into a supermarket and being greeted by in-store screens displaying ads curated based on the time of day or the prevailing weather conditions, or even personalized guidance and ads through an in-store mobile app. Additionally, online platforms can offer customers personalized ads and recommendations, creating a seamless and intuitive shopping experience.

To understand the gravity of this innovative venture, let’s take a leaf from Amazon’s book, which, according to BCG, accounted for two-thirds of US retail media in 2021 through the sale of sponsored products. Even more staggering is the gross margin for retail media, standing at a whopping 80% as compared to the 20% in grocery retail.

Leveraging Various Data Sources

The robustness of this approach is grounded in the meticulous gathering of data from various sources including data analytics operations such as transaction data, and loyalty schemes. The gradual phasing out of cross-website cookies has further escalated the value of the walled gardens of retailer’s sites and loyalty programs, making them gold mines of invaluable customer data.

Implementation: Crafting a Symbiotic Ecosystem

The implementation phase is pivotal, necessitating the creation of a data mesh integrated with APIs to organize data products, facilitating a seamless flow of insights and fostering ease of integration. These data products can be synthesized into data marts that amalgamate multiple relevant datasets while staunchly safeguarding data privacy and ensuring anonymity.

A modern data infrastructure, buttressed with state-of-the-art APIs, forms the backbone of this innovative venture, ensuring a harmonious integration of customer insights with ad targeting, mobile apps, and in-store systems.

Moreover, analytics and reporting become indispensable tools in this setup, not only in assessing market potential but also in fine-tuning the strategy to sell ads effectively.

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Data Mesh Information Architecture
Data Mesh: Building a Scalable Information Architecture
Data Mesh Information Architecture

Case Study

Data Mesh: Building a Scalable Information Architecture

Striking the Right Balance

While venturing into this promising terrain, retailers must walk a tightrope, maintaining a delicate balance between leveraging customer data for market intelligence and ad targeting, and safeguarding customer trust. This extends to finding the sweet spot in showcasing ads both in-store and online adjacent to their products without overwhelming customers.

Conclusion

As we stand on the cusp of a retail revolution, leveraging data not just as a tool but as a product holds the promise of catapulting retail media into a new era. By harmonizing customer data with innovative technology, retail chains can unlock a treasure trove of opportunities, offering not just products but tailored experiences, while opening up lucrative revenue streams and pushing the boundaries of what is possible in retail media. It is not just about selling products but about creating a symbiotic ecosystem that fosters growth, innovation, and unparalleled customer experiences.

Learn more about how CID helps retailers implement Data Mesh and create innovative data products.

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