Content Marketing ROI Engine

Content Marketing ROI Engine MCP Connector for Claude

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Analyze content efficiency, ROI, and prioritization.

4 tools Official Updated Oct 1, 2026 Official Vinkius Partner

This MCP server provides a performance analytics engine to evaluate the financial impact of content marketing. It connects AI agents to specialized tools for calculating cost per lead, net profit, and ROI. Use calculate_content_efficiency to determine production costs versus leads, calculate_roi_and_amplification to account for SEO value and organic growth, analyze_content_prioritization to rank content strategies, and get_traffic_conversion_summary to evaluate user conversion rates.

roicontent-marketingconversionseoanalytics

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

get_traffic_conversion_summary

Summarizes traffic and conversion effectiveness

analyze_content_prioritization

Ranks content types based on performance metrics

calculate_content_efficiency

Calculates cost per piece and cost per lead

calculate_roi_and_amplification

Calculates net profit, ROI percentage, and effective value

See how to talk to your AI agent using Content Marketing ROI Engine.

What was the cost per lead for our latest whitepaper that cost $5000 to produce and $2000 to distribute, resulting in 50 leads?

The cost per lead for the whitepaper is $140.00.

Calculate the ROI for a campaign with $10,000 investment, $50,000 revenue, and $5,000 in SEO value.

The ROI for this campaign is 450.0%.

How effective was our blog post with 10,000 views and 200 leads?

The conversion rate for the blog post was 2.0%.

ROI is calculated by taking the net profit (revenue minus total investment) and dividing it by the total investment, which includes both production and distribution costs.

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