Ad Cost Per Click Analytics

Ad Cost Per Click Analytics MCP Connector for Claude

A+

Calculate advertising efficiency by determining the cost per individual user click.

4 tools Official Updated Oct 1, 2026 Official Vinkius Partner

This MCP server provides specialized tools for advertising performance analysis. It allows AI agents to calculate the average cost per click using calculate_cpc, compare current spending against budget targets with get_campaign_efficiency_summary, and aggregate data across multiple time segments using aggregate_spend_by_period. Additionally, it can assess if campaign data is statistically significant via validate_campaign_viability.

cpcadvertisingmarketing-analyticsad-spendcampaign-efficiency

4 tools expose this connector's capabilities to your AI agent.

aggregate_spend_by_period

Aggregates spend and clicks across multiple time segments

calculate_cpc

Calculates the average cost per click

get_campaign_efficiency_summary

Compares actual CPC to a target efficiency

validate_campaign_viability

Checks if a campaign meets the minimum activity threshold

See how to talk to your AI agent using Ad Cost Per Click Analytics.

What was the average cost for each click if we spent $500 and got 250 clicks?

The average cost per click was $2.00.

Is our campaign efficient if we spent $100 for 50 clicks and our target CPC is $1.50?

No, the actual CPC is $2.00, which is $0.50 above your target budget.

Check if a campaign with 15 clicks is viable if the minimum threshold is 20 clicks.

The campaign is not currently viable as it has not met the minimum threshold of 20 clicks.

The cost per click is determined by dividing the total ad spend by the total number of clicks received.

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