Revenue Per Customer Analytics

Revenue Per Customer Analytics MCP Connector for Claude

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Analyze average revenue per customer across timeframes and segments.

4 tools Official Updated Oct 1, 2026 Official Vinkius Partner

This MCP server provides business intelligence tools to calculate and analyze Revenue Per Customer (RPC). It allows you to monitor overall average revenue using get_total_rpc, break down performance by customer segments with get_segmented_rpc, track historical trends via get_rpc_trend, and identify high-value individuals using get_top_contributing_customers.

revenuekpicustomer-metricssegmentationtrends

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

get_rpc_trend

Get the trend of revenue per customer over time

get_segmented_rpc

An optional segment name can be provided to filter. Get the revenue per customer broken down by segments

get_top_contributing_customers

An optional limit can be provided. Get the customers contributing the highest revenue

get_total_rpc

See how to talk to your AI agent using Revenue Per Customer Analytics.

What was the overall average revenue per customer between 2023-01-01 and 2023-12-31?

The average revenue per customer for the period was $150.00, with a total revenue of $15,000.00 from 100 unique customers.

Show me the revenue per customer trend for the last month, broken down daily.

The daily RPC trend for the last month shows a steady increase from $120.00 on the 1st to $145.00 on the 30th.

Who are the top 3 customers by revenue contribution in 2023?

The top 3 customers are: Customer_ID_99 ($5,000), Customer_ID_42 ($3,500), and Customer_ID_12 ($2,100).

It is calculated by dividing the total revenue within a specific period by the number of unique customers who contributed to that revenue in the same period.

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