Freemium Conversion Analytics

Freemium Conversion Analytics MCP Connector for Claude

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Quantify user transitions from free tiers to paid subscriptions using a multi-stage funnel model.

4 tools Official Updated Oct 1, 2026 Official Vinkius Partner

This MCP server provides a specialized analytics engine to measure the health of your freemium funnel. It allows AI agents to calculate conversion rates, identify upgrade triggers, and evaluate funnel leakage. By using tools like calculate_conversion_metrics and identify_upgrade_triggers, agents can diagnose why users are hitting usage thresholds or being blocked by feature gating. It also enables forecasting future growth through project_future_conversion based on current trends.

conversionfunnelfreemiumsaasanalytics

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

analyze_funnel_efficiency

Evaluates the "leakage" in the funnel to find where users are dropping off

calculate_conversion_metrics

Provides a high-level overview of the current conversion health across the entire funnel

identify_upgrade_triggers

Diagnoses why users are (or are not) converting by looking at usage patterns

project_future_conversion

Estimates future paid user growth based on current conversion trends and user growth

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

What is our current conversion health for the last 30 days? We have 1000 free users, 200 paid users, 150 trial users, and a 20% trial conversion rate.

The current free-to-paid conversion rate is 20%, with a trial success rate of 20% and a daily conversion velocity of 6.67 new paid users per day.

Analyze our funnel efficiency. We started with 5000 free users, 500 moved to trial, and 100 became paid subscribers.

The free-to-trial rate is 10%, the trial-to-paid rate is 20%, and the total funnel yield is 2%.

Predict our paid users for next month. We have 500 paid users, 2000 free users, a 5% historical conversion rate, and we expect 500 new free users.

The estimated number of paid users is 525, with 25 expected new conversions.

The `identify_upgrade_triggers` tool analyzes usage levels and feature access attempts to determine if users are hitting limits or experiencing friction from gated features.

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