MCP For Claude Marketplace
Cohort Analysis

Cohort Analysis MCP Connector for Claude

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Analyze customer cohort behavior through retention curves, LTV, and decay rates.

4 tools Official Updated Oct 1, 2026 Official Vinkius Partner
More Details Connect to Claude

This MCP server provides deep insights into customer lifecycle behavior. Use get_retention_curve to visualize how engagement diminishes over time, calculate_cohort_ltv to determine the total economic value of a group, and analyze_decay_rate to measure the velocity of user churn. It also includes get_seasonal_adjustment_factor to normalize data against seasonal fluctuations, helping you understand if a cohort has reached a steady state.

cohortretentionltvchurnanalytics

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

analyze_decay_rate

Measure the velocity of user churn within a cohort

get_retention_curve

Understand how quickly a specific cohort's engagement diminishes over time

get_seasonal_adjustment_factor

Provide a multiplier that accounts for expected behavioral shifts due to the time of year

calculate_cohort_ltv

Determine the total economic value generated by a specific group of users

See how to talk to your AI agent using Cohort Analysis.

What is the retention curve for cohort C123 for monthly periods?

The retention curve for cohort C123 shows a 100% retention in month 0, 45% in month 1, and 20% in month 2.

Calculate the LTV for cohort C456.

The total lifetime value for cohort C456 is $5,250, with an average value of $52.50 per user.

Is cohort C789 stabilized?

Yes, cohort C789 has stabilized as the decay rate has remained consistent over the last three periods.

You can use the `get_retention_curve` tool by providing the specific cohort ID and the desired period type, such as monthly.

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