• GROSS MRR
  • NET MRR
  • CHURN SENSITIVITY
  • HUMAN REVIEW

How to project MRR impact with your AI client

Connect your revenue data once. Your AI handles the math for every pricing scenario you want to test.

Ask AI about this page

Short answer

How do I model MRR changes with AI?

Your AI uses the `predict_mrr_impact` tool to run simulations based on your current revenue, churn, and proposed price adjustments. You get a clear view of how these variables shift your gross and net MRR.

The simulation outcomes

What you'll see from your models

Running these scenarios gives you specific data points to guide your next pricing move.

GROSS MRR

New gross revenue totals

The AI calculates what your total monthly revenue looks like after applying new price points to your existing customer base.

NET MRR

Revenue after churn

This shows your actual take-home revenue by factoring in how much churn you expect from price changes or seasonal shifts.

CHURN SENSITIVITY

Churn impact analysis

See exactly how much revenue you lose if a price hike causes a specific percentage of customers to leave.

HUMAN REVIEW

Strategic decision making

The AI provides the numbers, but you decide if the trade-off between higher prices and higher churn is worth the risk.

The workflow

What your AI does when the data arrives.

The AI acts as a financial modeler, running the heavy math so you can focus on the strategy.

  1. Ingest revenue data

    Your AI reads your current subscription data and customer counts to establish a baseline.

    predict_mrr_impact

  2. Apply price variables

    The AI adjusts the per-user or per-seat pricing in the model to see the immediate effect on gross revenue.

    predict_mrr_impact

  3. Factor in churn

    It calculates the loss from customer attrition based on the churn rates you provide.

    predict_mrr_impact

  4. Generate impact report

    The AI outputs the final projected gross and net MRR for your comparison.

    predict_mrr_impact

Try it

Copy these to start.

Use these prompts to kick off your first simulation.

Starting points

Replace the bracketed info with your actual numbers or specific data sources like a Stripe export or a Google Sheet.

Pricing Strategy Calculator Connector

You're all set. Choose your MCP client and follow the setup instructions.

Connector linkhttps://edge.vinkius.com/vk_preview_E0q7rEKwyyXldjy5Z6I7wZKGz5msNjAAbwG6KQ5Y/mcp

Claude Desktop

Follow the steps below to connect in seconds.

  1. 1In Claude Desktop, open Settings → Connectors.
  2. 2Click “Add custom connector” and paste the connector link above as the remote MCP server URL.
  3. 3Click Add and start a new chat — Pricing Strategy Calculator capabilities are ready to use.
Configuration · claude_desktop_config.jsonCopy
{
  "mcpServers": {
    "pricing-strategy-calculator-mcp": {
      "url": "https://edge.vinkius.com/vk_preview_E0q7rEKwyyXldjy5Z6I7wZKGz5msNjAAbwG6KQ5Y/mcp"
    }
  }
}
Copy into chat04

  • Predict the MRR impact if I increase my monthly subscription from $50 to $65 using my Stripe data.

  • Model my net MRR if my churn rate jumps from 3% to 5% following a price increase.

  • Show me the gross MRR impact of moving my enterprise tier from $500 to $750 based on my current customer list.

  • How does my net MRR change if I implement a 10% price hike but lose 2% more customers?

  • Claude
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Start here

Connect Pricing Strategy Calculator once, then ask.

Just link the MCP to your client. Your credentials stay encrypted, and you can start running models immediately.

Connect Pricing Strategy Calculator to your AI

FAQ

How this task behaves

  • 01

    Can the AI change my actual prices in Stripe?

    No. The AI only models the impact of changes. It cannot execute price changes or modify your live billing data.

  • 02

    Does the AI decide what my new price should be?

    No. The AI provides the mathematical projection for the prices you suggest. You make the final pricing decision.

  • 03

    What data does the AI need to run a simulation?

    It needs your current MRR, customer count, and the specific price or churn variables you want to test.

  • 04

    Can it predict churn for specific customers?

    No. It models churn as a percentage or a general rate across your customer base, not as individual user behavior.

  • 05

    Will this work with my existing spreadsheet?

    Yes, if you provide the data from your sheet to your AI client, it can use that to run the impact tool.

  • More questions about Pricing Strategy Calculator? The Connector page answers them. See everything the Pricing Strategy Calculator Connector can do

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