Retail Media IQ: run your retail media ads from one place

What

Retail Media IQ (RMIQ) is a retail media advertising platform and managed service focused on helping lean teams run and optimize ads across retail media networks from one place. The page positions it for brands, sellers, retailers, agencies, and especially Walmart advertisers that need to improve sales and return on ad spend without adding operational workload.

Its core workflow centers on SKU-level performance advertising, where each product can be optimized with dedicated keywords, bids, and budgets. RMIQ describes an AI-driven, expert-run model that uses autonomous agents and cross-network learnings to manage campaigns on networks such as Instacart, Amazon, Walmart, and others, while providing unified reporting and goal-based optimization.

Features

• SKU-level campaign optimization — RMIQ assigns product-specific keywords, bids, and budgets to help brands optimize performance at the individual SKU level rather than using a one-size-fits-all setup.
• Cross-network campaign management — The platform is designed to run retail media ads across multiple networks from one place, reducing channel-by-channel operational complexity.
• Autonomous agent optimization — Purpose-built agents continuously adjust keywords, bids, and budgets so campaigns can be tuned more frequently than manual management alone.
• Unified reporting across networks — Performance data is consolidated into one reporting view, which can help teams compare outcomes and monitor advertising effectiveness across retailers.
• Custom performance goals — Campaigns can be aligned to goals such as sales, ROAS, or customer growth, which is useful for brands with different maturity levels or business priorities.
• Retailer integrations and keyword audit offering — The site references seamless integration with major retailers and offers a paid keyword audit to identify non-performing keywords and potential revenue opportunities.

Helpful Tips

• Validate network coverage early — The site lists many supported networks, but buyers should confirm which retail media networks, ad formats, and workflows are fully supported for their specific business.
• Assess the operating model — Because RMIQ presents itself as both AI-driven and expert-run, clarify how much is automated versus service-managed and what responsibilities remain with your internal team.
• Use SKU-level structure only when catalog data is clean — Product-level bidding and keyword optimization tend to work best when SKU naming, mapping, and performance data are accurate and consistently maintained.
• Define success metrics before rollout — If using custom goals such as sales, ROAS, or customer growth, establish measurement rules in advance so optimization choices are aligned with business outcomes.
• Treat audits as a diagnostic step — A keyword audit can be useful for uncovering waste and missed demand, but it should be tied to a clear plan for restructuring campaigns afterward.

OpenClaw Skills

RMIQ could fit well into an OpenClaw ecosystem as a retail media performance layer that supplies campaign, keyword, and cross-network reporting signals to downstream agents. A likely use case would be OpenClaw skills that monitor SKU-level changes, flag underperforming keywords, summarize network-specific performance shifts, and generate weekly recommendations for brand managers, agency teams, or retail media operators. The page does not describe a native OpenClaw integration, so this should be treated as a likely workflow design rather than a confirmed capability.

In a broader operating model, OpenClaw agents could sit around RMIQ to automate decision support across merchandising, budgeting, and executive reporting. For example, a CPG team could use one agent to detect wasted spend, another to connect retail media trends to catalog or inventory priorities, and a third to prepare stakeholder-ready summaries by retailer or brand line. Combined with a platform like RMIQ, that kind of workflow could reduce manual analysis for lean commerce teams and make retail media management more systematic across fragmented networks.