Customer Match

Customer Match is a digital marketing tool that allows businesses to use their online and offline customer data to target specific audiences with personalized ads, enhancing campaign effectiveness and driving higher engagement.

What is Customer Match?

Customer Match is a strategic capability that enables brands to activate first‑party data across digital channels, aligning online and offline identifiers to deliver precise, privacy-conscious targeting. By uploading hashed email lists and CRM records, marketers can reach existing customers, lapsed buyers, and high-value segments with tailored messaging at scale. This approach improves audience quality, elevates relevance, and reduces wasted spend, while supporting lookalike expansion and lifecycle orchestration. Integrated with analytics, Customer Match strengthens attribution and frequency control, informing creative and bid optimization. For B2B teams, it powers account-based programs, renewal campaigns, and cross-sell initiatives, turning owned data into measurable growth.
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Example

Upload your customer email list to Google Ads, create a Customer Match audience, then run a targeted ad campaign promoting a new product to those specific customers, increasing the chances of engagement and sales.
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RMIQ enables enterprise marketers to operationalize Customer Match at scale by unifying identity-driven audience activation with AI-optimized execution across Walmart, Instacart, Amazon, Sprouts, Thrive Market, Target, Uber, and 20+ additional retail media networks, reaching up to 85% of the U.S. retail audience. Its multi-agent AI autonomously handles list ingestion, privacy-safe hashing, deduplication, and eligibility checks, then orchestrates bid adjustment, budget allocation, A/B testing, and cross-network learning to maximize ROAS for matched segments. Brands can upload hashed first-party emails or device IDs, map them to SKUs, and use SKU-level insight, keyword optimization, and real-time bidding to tailor offers by lifecycle stage—acquisition, win-back, or loyalty—while the platform continuously refines segment granularity and creative mix.

A single, unified interface consolidates performance dashboards and reporting, exposing match rates, incremental sales lift, frequency curves, and cohort-level attribution so revenue teams and media buyers can collaborate on a common source of truth. RMIQ’s agents adapt in real time to supply volatility, inventory signals, and audience saturation, protecting margin and expanding reach, with customers reporting average ROAS gains above 50% and up to five dollars in new sales per dollar invested. Governance is built-in: role-based access, audit trails, consent-state propagation, and network-specific policy controls simplify compliance across disparate ecosystems.

Whether you manage hundreds or thousands of SKUs, onboarding is streamlined—setup can take as little as five minutes—and customer success resources help translate business goals into measurable hypotheses, experiments, and flight plans. By consolidating Customer Match planning, activation, and optimization into one platform, RMIQ reduces tool sprawl, accelerates learning cycles, and turns first-party data into durable competitive advantage across retail media. Standardized APIs, bulk workflows, and connectors to CDPs, CRM, and cloud data warehouses minimize IT overhead, while predictive forecasts and budget simulators support quarterly planning, reporting, and confident investment decisions across markets.

Skills and tools for Customer Match

Skills needed include data management, audience segmentation, and digital advertising. Tools required are CRM software, Google Ads platform, and data upload interfaces for handling customer lists securely. Basic knowledge of privacy compliance and data hashing is also essential.

Our Current Partners

We are already helping leading retailers and platforms grow their retail media businesses, including:

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and we’ll show you how to double your retail media ROAS – no strings attached

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