• VISUAL
  • DATA
  • INSIGHT
  • HUMAN

How to model retention curves with your AI

Connect your data once. After that, your AI handles the math and the visualization.

Ask AI about this page

Short answer

How can I model retention curves with my AI?

Your AI uses the `calculate_retention_curve` tool to process raw monthly retention data. It turns those numbers into visual decay models that pinpoint exactly when users stop coming back. You'll see the specific drop-off points in the following breakdown.

The results of your analysis.

Where your data lands.

The AI processes your raw data into these specific views.

VISUAL

Decay curve models

The AI generates visual representations of user drop-off. You get a clear view of how retention decays over time.

DATA

Cohort breakdowns

The AI organizes your raw monthly data into distinct cohorts. This shows you how different groups behave differently.

INSIGHT

Drop-off points

The AI identifies the specific time intervals where the most users leave. This highlights exactly where your product loses traction.

HUMAN

Strategic decisions

The AI provides the math and the charts, but you decide which product changes to make based on the results.

The workflow

What your AI does when the data arrives.

The AI takes over the heavy lifting of data processing and modeling.

  1. Data ingestion

    Your AI reads the raw monthly retention logs you provide.

    calculate_retention_curve

  2. Curve calculation

    The AI runs the math to determine the rate of decay for each user group.

    calculate_retention_curve

  3. Visual modeling

    The AI maps these mathematical decay rates into visual models.

    calculate_retention_curve

  4. Pattern detection

    The AI looks for specific inflection points where retention drops sharply.

    calculate_retention_curve

Try it

Copy these to start.

Use these prompts to begin your analysis.

Starting points

These are just ways to kick off the conversation. Swap out the specific data sources for your own.

Cohort Retention Analytics Connector

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

Connector linkhttps://edge.vinkius.com/vk_preview_0clZooXkip3nj1SVREyeX8jIZAq7iA6bQySCHT9q/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 — Cohort Retention Analytics capabilities are ready to use.
Configuration · claude_desktop_config.jsonCopy
{
  "mcpServers": {
    "cohort-retention-analytics-mcp": {
      "url": "https://edge.vinkius.com/vk_preview_0clZooXkip3nj1SVREyeX8jIZAq7iA6bQySCHT9q/mcp"
    }
  }
}
Copy into chat04

  • Calculate a retention curve using my monthly user data in this Google Sheet.

  • Model the decay curve for the user cohort from last January.

  • Show me the retention curve for the mobile app users in this CSV file.

  • Identify the specific month where the retention curve for my SaaS users drops most sharply.

  • Claude
  • ChatGPT
  • Cursor
  • VS Code
  • Windsurf
  • Claude Code
  • JetBrains
  • Cline

Start here

Connect Cohort Retention Analytics once, then ask.

Just follow the link to connect. Your credentials stay encrypted, and you can immediately start asking your AI to run these models.

Connect Cohort Retention Analytics to your AI

FAQ

How this task behaves.

  • 01

    Can the AI create the actual chart images?

    The AI generates the mathematical models and the data for the curves, but you use your AI client to view the final visualization.

  • 02

    Does the AI change my original data files?

    No. The AI only reads your data to perform calculations. It never modifies or deletes your original files.

  • 03

    Can the AI automatically fix my user churn?

    No. The AI identifies where users are dropping off, but you have to decide how to fix the product or the experience.

  • 04

    What kind of data do I need to provide?

    You need to provide raw monthly retention data that the AI can process through the calculation tool.

  • 05

    Can I use this with any AI client?

    Yes, as long as your client is MCP-compatible, like Claude, Cursor, or Windsurf.

  • More questions about Cohort Retention Analytics? The Connector page answers them. See everything the Cohort Retention Analytics Connector can do

Connect Cohort Retention Analytics to Claude, Cursor, ChatGPT & more