MCP For Claude Marketplace
Funnel Conversion Calculator

Funnel Conversion Calculator MCP Connector for Claude

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Calculate marketing funnel metrics step-by-step and project revenue gains from process improvements.

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

Connect this Funnel Conversion Calculator to any AI agent. The funnel is a critical path: Awareness $\to$ Consideration $\to$ Intent $\to$ Purchase. If you don't know where the leaks are, optimizing anything is wasted effort.

Mechanism: This toolset provides three core functions:

  1. calculate_funnel_metrics: Establishes your baseline performance by calculating current conversion rates and projected revenue from a starting volume.
  2. identify_bottleneck: Analyzes the baseline results to pinpoint the exact stage (e.g., Consideration) where drop-offs are most severe relative to potential volume, showing you where effort matters most.
  3. simulate_improvement_impact: Allows you to run 'what-if' scenarios. By proposing percentage lifts in specific conversion rates, this function models the resulting additional purchases and the total monetary uplift (projected revenue gain).

The bridge this provides is direct: It connects raw marketing data volume into actionable financial projections, telling your team exactly how much more money a 1% improvement at the Consideration stage could generate.

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

simulate_improvement_impact

Returns recalculated metrics, overall improvement percentage, additional purchases, and revenue uplift. Simulate projected financial uplift from targeted funnel stage improvements

calculate_funnel_metrics

Calculate funnel conversion metrics across Awareness, Consideration, Intent, and Purchase stages

identify_bottleneck

Returns the bottleneck stage name, relative loss percentage, and improvement leverage calculation. Identify the funnel stage with the highest relative drop-off rate

See how to talk to your AI agent using Funnel Conversion Calculator.

Run the initial analysis. Start with 10,000 leads and assume A->C is 25%, C->I is 30%, and I->P is 70%. The average customer value is $150.

The `calculate_funnel_metrics` tool shows a baseline revenue of $3,150. The bottleneck appears to be Consideration, which has the highest relative drop-off.

I want to model an improvement. Let's assume we can improve Consideration by 10% (30% -> 33%) and Intent by 5% (70% -> 73%). Recalculate the impact.

Using `simulate_improvement_impact`, we project that these targeted improvements increase total purchases by 450 units, resulting in a $67,500 projected revenue uplift.

Identify the bottleneck for this quarter's data snapshot (A->C: 20%, C->I: 40%, I->P: 65%). Initial volume was 8,000. ARPC is $140.

The `identify_bottleneck` tool confirms that the Consideration stage presents the highest relative loss point, requiring immediate focus to maximize return on investment.

No. The `calculate_funnel_metrics` function establishes your baseline, but the real power comes from using `identify_bottleneck`. This second tool finds the weakest point, and then you use `simulate_improvement_impact` to quantify the financial value of fixing it.

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