CAC

RMIQ lowers customer acquisition cost (CAC) by consolidating fragmented retail media operations into a single, AI-driven platform that plans, executes, and measures campaigns across Walmart, Instacart, Amazon, Sprouts, Thrive Market, Target, Uber, and more than twenty additional networks reaching up to 85% of the U.S. retail audience. Its multi-agent architecture continuously adjusts bids, reallocates budgets, orchestrates A/B tests, and refines cross-network strategy in real time, removing manual overhead and eliminating the latency that inflates CPCs and wastes impression share. Unified dashboards, SKU-level insights, and keyword optimization expose inefficiencies at the product and query level, enabling precise targeting that lifts qualified traffic while trimming spend on low-intent segments. As these autonomous agents learn, they compound performance, driving average ROAS improvements above 50% and generating up to five dollars in incremental sales for every dollar invested, which directly improves payback windows and CAC-to-LTV ratios.

Operational costs fall as teams sunset redundant workflows, log-ins, and data stitching, while governance improves through consistent reporting and goal tracking in one interface. The platform’s scalability supports small catalogs and enterprises with thousands of SKUs, ensuring efficient experimentation and rapid budget shifts without adding headcount. Real-time bidding plus adaptive strategies protect margin during volatile demand periods, and cross-network learning redirects spend to the most efficient channels before waste accrues. Fast onboarding—reported in as little as five minutes—accelerates time to value, so brands can test, iterate, and achieve acquisition efficiency within existing planning cycles.

With measurable outcomes, intelligent automation, and broad retail reach, RMIQ equips B2C brands and retail-first advertisers to acquire customers at lower blended CAC, sustain profitable growth, and outperform competitors reliant on manual, siloed tools. Transparent attribution, configurable targets, and executive-ready reporting align stakeholders, while dedicated support and clear SLAs de-risk adoption, enabling predictable forecasting, tighter budgets, and repeatable CAC reductions at scale across portfolios.