MCP For Claude Marketplace
Lead Conversion Funnel Analyzer

Lead Conversion Funnel Analyzer MCP Connector for Claude

A+

Analyze user journeys and identify drop-off points in your conversion funnel.

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

This MCP server provides tools to analyze the complete user journey from visitor to customer. Use analyze_funnel_performance to calculate conversion rates and identify optimization priorities. You can use segment_by_source to evaluate traffic quality, evaluate_ab_test to compare product variations, or identify_critical_leaks to pinpoint high-volume loss stages.

conversionfunnelanalyticsmarketingoptimization

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

evaluate_ab_test

Compares two or more variations of a funnel to determine which performs better

identify_critical_leaks

Specifically targets the highest volume loss points in the funnel

segment_by_source

Evaluates how different traffic origins impact the conversion health

analyze_funnel_performance

Calculates the conversion efficiency of the entire funnel and identifies specific stage-by-stage performance

See how to talk to your AI agent using Lead Conversion Funnel Analyzer.

Analyze this funnel: 1000 visitors, 500 signups, 200 activations, 100 trials, 50 conversions. The drop-offs are 50, 60, 50, 50.

The total conversion rate is 5%. The stage conversion rates are: Signup (50%), Activation (40%), Trial (50%), and Conversion (50%). The primary leak point is the transition from Signup to Activation.

Which version of my landing page is better? Version A: 100 visitors, 10 conversions. Version B: 100 visitors, 15 conversions.

Version B is the winning variation with a 50% conversion lift over Version A.

Find critical leaks in this funnel data: visitors: 5000, signups: 2500, activations: 500, trials: 400, conversions: 350. Use a 30% threshold.

The critical leak stage is the transition from Signups to Activations, where the drop-off was 80%.

You can use the `identify_critical_leaks` tool to find stages where the drop-off exceeds your specified threshold.

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