MCP For Claude Marketplace
Conversion Rate Analytics

Conversion Rate Analytics MCP Connector for Claude

A+

Analyze e-commerce conversion rates, traffic source efficiency, and performance trends.

4 tools Official Updated Oct 1, 2026 Official Vinkius Partner
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This MCP server provides deep insights into e-commerce performance by connecting AI agents to critical conversion metrics. Use get_conversion_rate to calculate overall success, get_conversion_rate_by_source to identify high-performing traffic channels, and get_conversion_trend to monitor fluctuations over time. You can also use compare_sources_efficiency to determine which acquisition channels are most effective for your business.

conversiontrafficsalesmetricsecommerce-analytics

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

compare_sources_efficiency

Compares two different traffic sources to determine which is performing better

get_conversion_rate_by_source

Identifies which traffic channels are most effective at generating purchases

get_conversion_rate

Calculates the overall conversion rate for a given period

get_conversion_trend

Tracks how the conversion rate fluctuates over time

See how to talk to your AI agent using Conversion Rate Analytics.

What was our conversion rate between 2024-01-01 and 2024-01-31?

The conversion rate for January 2024 was 3.5%, with 1,000 visitors and 35 purchases.

Which traffic source was more efficient in January: Direct or Organic?

Organic traffic was more efficient with a conversion rate of 4.2%, compared to 3.1% for Direct traffic.

Show me the daily conversion rate trend for the first week of February 2024.

The daily conversion rates for the first week of February were: Feb 1 (3.0%), Feb 2 (3.2%), Feb 3 (3.1%), Feb 4 (3.5%), Feb 5 (3.4%), Feb 6 (3.6%), and Feb 7 (3.3%).

The conversion rate is calculated by dividing the total number of purchases by the total number of visitors, then multiplying by one hundred.

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