Composable CDP vendor GrowthLoop entered the retail media network (RMN) space this week, launching an answer to help retailers organize their data and scale their media offerings.
Retailers offering RMNs face lots of the same challenges because the marketers they support, including legacy systems that create data silos and require time-consuming workarounds. GrowthLoop’s latest product, Compound Marketing Engine for Commerce Media Networks, helps retailers leverage cloud-based data to enhance media capabilities. It connects directly to enterprise data clouds, including BigQuery, Snowflake and Databricks, helping label and organize first-party data for ad sales teams.
Retail media is a fast-growing, high-margin sector. More than 200 retail media networks now operate globally, according to Total Retail. eMarketer forecasts retail media spending will reach $60 billion within the United States this 12 months and $100 billion by 2028.
Dig deeper: Is it time for retail media networks to think beyond the ads?
GrowthLoop’s Compound Marketing Engine includes AI agents that transform first-party data into precise audience segments, while maintaining security and compliance. These agents recommend brand segments and support always-on campaign setups.
Its self-service UI saves time compared to SQL queries and engineering tickets, offering custom attributes like device IDs and buy history. The Audience Breakdowns feature provides granular views into device counts, households and more. A LiveRamp integration enriches and onboards first-party data to improve match rates and extend advertiser reach across channels.
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