Retail

Building a Retail Media Network That Turned Store Traffic into Media Revenue

Business Challenge

Despite serving millions of shoppers through thousands of stores, the retailer had yet to monetize its in-store media assets. Limited visibility into asset performance, fragmented customer and sales data, and the absence of a measurement framework made it difficult to attract advertisers, optimize campaigns, and scale a Retail Media Network.

Our Approach

LatentView partnered with the retailer to build a data-driven Retail Media Network strategy—from identifying high-value media assets and measuring shopper engagement to establishing experimentation frameworks and campaign attribution.

 

By combining customer, transaction, campaign, and store data, we enabled precise audience targeting, quantified incremental sales impact, and created a scalable analytics foundation for advertiser growth and national expansion.

Solution Highlights

  • Retail Media strategy and readiness assessment
  • Media asset performance analytics
  • Experimentation and incrementality measurement
  • Audience targeting and campaign optimization
  • Advertiser performance and ROI reporting
  • Store-level media analytics and expansion planning

Key Highlights

Business Impact

10×
increase in active advertisers (from 2 to 20)
10×
expansion of RMN-enabled stores (from 500 to 5,000)
5–9%
average sales lift across media campaigns
38%
increase in bundle sales through optimized promotions
Data-driven measurement framework that accelerated advertiser confidence and media monetization
Incremental Revenue
$ 0 M
improvement in conversion rate
0 %
increase in click-through rate
0 %

70% to 91%

Image tagging accuracy improved

Significant reduction in manual image labeling effort and maintenance costs

Client Profile

Client/Company

Leading U.S. Convenience Retailer

Industry

Retail

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