Repeat Order Rate Analytics

Repeat Order Rate Analytics MCP Connector for Claude

A+

Calculate customer loyalty and repeat purchase rates.

4 tools Official Updated Oct 1, 2026 Official Vinkius Partner

This MCP server provides tools to analyze customer retention and loyalty. Use get_repeat_order_rate to find the percentage of returning customers within a timeframe, get_customer_loyalty_tiers to group users by order volume, get_customer_order_history to inspect individual customer activity, and get_period_over_period_growth to compare retention trends across different time periods.

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

get_customer_loyalty_tiers

Categorizes customers into loyalty groups based on their total number of lifetime orders

get_customer_order_history

Retrieves the specific order count and frequency for a single identified customer

get_period_over_period_growth

Compares the repeat order rate of the current period against a previous period

get_repeat_order_rate

Calculates the percentage of customers who have ordered more than once

See how to talk to your AI agent using Repeat Order Rate Analytics.

What was our repeat order rate between 2024-01-01 and 2024-03-31?

The repeat order rate for the period from January 1st to March 31st, 2024, was 15.5%, with 155 repeat customers out of 1,000 total customers.

How many customers have at least 5 orders?

There are 42 customers who fall into the loyalty tier requiring a minimum of 5 orders.

Check the status of customer ID 'cust_98765'.

Customer cust_98765 has placed 3 total orders and is classified as a repeat customer.

The rate is calculated by dividing the number of customers with two or more orders by the total number of unique customers in the specified timeframe.

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