GrowthLoop Aims to Boost Retail Media Revenue for Retailers
▼ Summary
– GrowthLoop has launched a new product called Compound Marketing Engine for Commerce Media Networks to help retailers organize data and scale media offerings.
– The solution connects to enterprise data clouds like BigQuery and Snowflake to label and organize first-party data for ad sales teams.
– Retail media is a rapidly growing sector, with spending projected to reach $60 billion in the U.S. this year and $100 billion by 2028.
– The product uses AI agents to transform first-party data into precise audience segments while maintaining security and compliance.
– It includes a self-service UI, Audience Breakdowns feature, and LiveRamp integration to improve efficiency and advertiser reach.
A new platform from GrowthLoop is helping retailers unlock the full potential of their first-party data to drive revenue through retail media networks. The company’s latest offering, the Compound Marketing Engine for Commerce Media Networks, provides a streamlined solution for organizing customer information and scaling media sales operations without relying on outdated infrastructure.
Many retailers currently struggle with fragmented data systems that slow down their ability to monetize advertising opportunities. GrowthLoop’s product directly integrates with major enterprise data clouds such as BigQuery, Snowflake, and Databricks, allowing teams to efficiently structure and activate customer data for ad sales. This approach eliminates traditional bottlenecks and supports more agile campaign execution.
The retail media sector continues to expand rapidly, with projections indicating U.S. spending will hit $60 billion this year and approach $100 billion by 2028. More than 200 retail media networks are already active worldwide, highlighting the urgency for retailers to refine their advertising strategies and capture a larger share of this high-margin revenue stream.
GrowthLoop’s platform incorporates AI-driven tools that automatically transform raw customer data into actionable audience segments. These intelligent agents recommend brand-specific groupings and facilitate always-on campaign configurations, all while prioritizing data security and regulatory compliance.
A user-friendly self-service interface reduces dependency on technical teams by enabling non-technical users to build custom attributes, such as device IDs and purchase history, without writing SQL queries or submitting engineering tickets. The platform’s Audience Breakdowns feature offers detailed insights into metrics like device penetration and household coverage, providing clearer visibility into audience composition.
Through an integration with LiveRamp, the system also enriches first-party data, improving match rates and extending advertiser reach across multiple digital channels. This end-to-end capability allows retailers to offer more targeted, effective advertising solutions and compete more effectively in the growing retail media landscape.
(Source: MarTech)
