Retail Media Network Data
Buy and sell retail media network data data. Ad impressions, click rates, and ROAS from retail media networks. The $50B retail media boom needs performance data.
No listings currently in the marketplace for Retail Media Network Data.
Find Me This Data →Overview
What Is Retail Media Network Data?
Retail Media Networks (RMNs) are digital advertising platforms operated by e-commerce and brick-and-mortar retailers that enable brands to reach shoppers at the point of purchase. These networks generate performance data including ad impressions, click rates, and Return on Ad Spend (ROAS) metrics. The RMN sector has evolved rapidly into a multibillion-dollar advertising channel, with major players like Walmart Connect and Target's Roundel driving significant revenue growth. Data from these networks is fragmented across multiple platforms, each with separate reporting dashboards and metrics, creating challenges for enterprises managing campaigns across multiple retail partners simultaneously.
Market Data
$2.1 billion
Walmart Connect Ad Revenue (2021)
Source: Claravine
$1 billion to ~$2 billion
Target Roundel Revenue Growth (2021–2024)
Source: Claravine
Over $45 billion
Projected RMN Market Spending
Source: Buzzsprout/Local Advertising Research
75% reduction in time-to-insight
Data Integration Time Savings
Source: Improvado
Who Uses This Data
What AI models do with it.do with it.
Brand Marketing Teams
Measure ROI and attribution across multiple retail media networks simultaneously, answer questions about which retail partners delivered highest ROAS, and optimize cross-retailer spending.
Retail Media Network Operators
Leverage first-party customer data and automation tools to improve ad targeting, pricing effectiveness, and drive revenue growth through optimized ad delivery and audience segmentation.
Marketing Operations & Analytics Teams
Consolidate fragmented data from disparate RMN platforms into unified dashboards, automate performance reporting, and enable data-driven decision-making across multiple advertising channels.
E-Commerce & Retail Enterprises
Monetize customer data and ad inventory while managing multi-party data collaboration through clean rooms, ensuring privacy compliance while maximizing advertising effectiveness.
What Can You Earn?
What it's worth.worth.
Performance Data (ROAS, CTR, Impressions)
Varies
Pricing depends on data volume, network coverage, and buyer sophistication. Large enterprises consolidating data across 5+ networks command premium valuations.
Aggregated Benchmarking Data
Varies
Cross-retailer performance metrics and market trend analysis attract analyst firms and mid-market retailers.
First-Party Audience Insights
Varies
Clean room-ready audience segments and lookalike data from RMN shoppers valued for targeted campaign optimization.
What Buyers Expect
What makes it valuable.valuable.
Data Standardization & Cleanliness
Proper data standards and governance are critical; retailers prioritizing standardized data frameworks see measurable revenue growth and operational efficiency gains.
First-Party Data Priority
Focus on authenticated customer data from direct retail relationships, not third-party mappings. Deterministic overlaps and dynamic audience management preferred over statistical replicas.
Attribution & Multi-Touch Measurement
Accurate UTM tracking, end-to-end conversion attribution, and the ability to measure ROI across multiple retail touchpoints simultaneously.
API-Ready & Interoperable
Data must support automated extraction via APIs for integration into unified marketing databases and data warehouses; pre-built connectors covering major platforms (Amazon Ads, Walmart Connect, Target, Instacart) essential.
Companies Active Here
Who's buying.buying.
Operates first-party RMN generating billions in ad revenue; drives adoption of data standards and automation for improved advertiser ROI.
Leverages first-party buyer data and clean standardization practices to generate advertising revenue; projected to double value by 2029.
Provides 500+ pre-built connectors and data pipeline infrastructure to unify fragmented RMN data for enterprise marketers managing multiple networks.
Advises retailers on decentralized data clean room architectures to support multi-party collaboration and scalable RMN operations.
FAQ
Common questions.questions.
Why is retail media network data valuable?
RMN data captures shoppers at the digital point of purchase, offering advertisers performance metrics (ROAS, CTR, impressions) that traditional channels cannot. The market is projected to exceed $45 billion in spending, and retailers are generating billions in revenue through improved targeting and data standardization.
What are the main challenges in selling RMN data?
Data fragmentation is the primary challenge. Each RMN platform has its own reporting dashboards and metrics; enterprises managing 5+ networks simultaneously face organizational drag from manual data consolidation. Buyers demand standardized, clean, first-party data with strong attribution and API interoperability.
Which metrics matter most to buyers?
Return on Ad Spend (ROAS), click-through rates (CTR), impressions, and multi-touch attribution across retail partners are critical. Buyers also value aggregated benchmarking data, first-party audience segments, and lookalike data from RMN shoppers for campaign optimization.
How can I differentiate my RMN data offering?
Focus on first-party, deterministic audience data rather than statistical replicas. Emphasize clean data standards, API-ready integration with major platforms (Walmart, Target, Amazon, Instacart), and the ability to unify fragmented metrics across multiple retail networks. Data clean room architectures enabling privacy-compliant multi-party collaboration are increasingly valuable.
Sell yourretail media networkdata.
If your company generates retail media network data, AI companies are actively looking for it. We handle pricing, compliance, and buyer matching.
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