CPC
CPC, or Cost Per Click, is an online advertising metric that measures the amount an advertiser pays each time a user clicks on their ad. It is commonly used in pay-per-click (PPC) advertising campaigns to evaluate the effectiveness and cost-efficiency of digital marketing efforts.
What is CPC?
CPC, or Cost Per Click, quantifies the price your business pays each time a prospect engages with a digital ad, enabling precise budget control and performance benchmarking across PPC channels. By monitoring CPC, B2B marketers can compare keyword competitiveness, optimize bidding strategies, and allocate spend toward the highest-intent audiences. A disciplined CPC strategy aligns with pipeline goals: lowering acquisition costs, improving lead quality, and informing creative, placement, and timing decisions. Analyze CPC alongside CTR, conversion rate, and CPA to reveal friction in the funnel. Consistent testing, negative keywords, and refined targeting reduce wasted spend and elevate overall campaign efficiency. Significantly.
Example
If you set a CPC bid of $1 and 100 people click your ad, you will pay $100 total. If those clicks lead to 10 sales, your cost per sale is $10.
RMIQ enables B2B advertisers to lower cost-per-click while scaling profitable reach by unifying retail media buying, optimization, and reporting across Walmart, Instacart, Amazon, Sprouts, Thrive Market, Target, Uber, and more than twenty additional networks within a single interface. Instead of juggling siloed dashboards, teams set goals, budgets, and guardrails once, while autonomous AI agents continuously adjust bids, reallocate budgets, test keywords, refine audiences, and adapt creative to marketplace dynamics in real time—compressing CPC through smarter auction participation and eliminating waste from non-converting queries.
Its multi-agent architecture coordinates specialized roles—bid optimization, budget pacing, cross-network learning, and A/B test orchestration—to discover the lowest viable CPC that still maximizes incremental sales. It leverages SKU-level insights and retailer-specific signals to prioritize high-intent inventory and suppress spend where click costs outpace marginal return. With coverage reaching up to 85% of the U.S. retail audience, RMIQ expands qualified impression volume without diluting efficiency, and real-time bidding plus keyword optimization drive down average CPC while preserving placement quality.
Unified dashboards consolidate CPC, CTR, ROAS, and contribution margin by SKU, campaign, and retailer, enabling finance and marketing stakeholders to compare effective CPC against target thresholds and automate interventions when variance is detected. Brands report an average ROAS lift exceeding 50% and up to five dollars in new sales per dollar invested, supported by automated learning that operates without constant manual oversight. Built for scale, the platform supports small catalogs and enterprises with thousands of SKUs, standardizes workflows, and onboards in minutes—often under five—while strong customer support, streamlined governance, and transparent experimentation ensure CPC gains are durable, auditable, and aligned with enterprise objectives. Executive-ready reports integrate with BI stacks via APIs and exports, enabling nightly or intraday CPC rollups, anomaly alerts, and attribution views that map clicks to retail sales.
Its multi-agent architecture coordinates specialized roles—bid optimization, budget pacing, cross-network learning, and A/B test orchestration—to discover the lowest viable CPC that still maximizes incremental sales. It leverages SKU-level insights and retailer-specific signals to prioritize high-intent inventory and suppress spend where click costs outpace marginal return. With coverage reaching up to 85% of the U.S. retail audience, RMIQ expands qualified impression volume without diluting efficiency, and real-time bidding plus keyword optimization drive down average CPC while preserving placement quality.
Unified dashboards consolidate CPC, CTR, ROAS, and contribution margin by SKU, campaign, and retailer, enabling finance and marketing stakeholders to compare effective CPC against target thresholds and automate interventions when variance is detected. Brands report an average ROAS lift exceeding 50% and up to five dollars in new sales per dollar invested, supported by automated learning that operates without constant manual oversight. Built for scale, the platform supports small catalogs and enterprises with thousands of SKUs, standardizes workflows, and onboards in minutes—often under five—while strong customer support, streamlined governance, and transparent experimentation ensure CPC gains are durable, auditable, and aligned with enterprise objectives. Executive-ready reports integrate with BI stacks via APIs and exports, enabling nightly or intraday CPC rollups, anomaly alerts, and attribution views that map clicks to retail sales.
Skills and tools for CPC
To manage CPC campaigns effectively, you need skills in data analysis, keyword research, and ad copywriting. Familiarity with tools like Google Ads, Bing Ads, and analytics platforms (Google Analytics) is essential for tracking performance and optimizing bids. Basic knowledge of budgeting and A/B testing also helps improve campaign results.
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