Enterprise Onboarding Analytics

Enterprise Onboarding Analytics MCP Connector for Claude

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Analyze onboarding success metrics, funnel drop-offs, and segment performance.

4 tools Official Updated Oct 1, 2026 Official Vinkius Partner

This MCP server provides tools to analyze the customer onboarding journey through a funnel model. It allows AI agents to calculate completion rates, identify friction points using calculate_step_dropoff, determine average onboarding duration with get_onboarding_duration, and compare efficiency across different customer tiers using compare_segment_performance. It is designed to help businesses understand their onboarding health and optimize the path for SMB, Mid-Market, and Enterprise segments.

onboardingfunnelmetricsretentioncustomer-success

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

calculate_step_dropoff

Identifies which stages of the onboarding funnel are causing the most customer attrition

get_onboarding_duration

Determines the average time taken for customers to complete onboarding

analyze_completion_metrics

Calculates the overall success rate of the onboarding process

compare_segment_performance

Compares onboarding efficiency across different customer tiers

See how to talk to your AI agent using Enterprise Onboarding Analytics.

What is the completion rate for 500 total customers where 350 completed onboarding in the enterprise segment?

The completion rate for the enterprise segment is 70%.

How long does it take on average for customers to finish onboarding if the durations are 5, 7, and 9 days?

The average onboarding duration is 7 days.

Which stage has the most friction if 100 users started, 80 reached step A, 20 reached step B, and 15 reached step C?

The highest friction step is the transition from step A to step B, where 75% of users dropped off.

You can use the `calculate_step_dropoff` tool. By providing the number of customers at each stage, it will identify the highest friction step where the most attrition occurs.

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