- NEW
- RETAINED
- RESURRECTED
- CHURNED
Short answer
How can I classify user cohort movements with my AI?
Your AI compares current user lists against historical data to identify who is new, who stayed, who came back, and who left. You get a clear breakdown of these movements.
The results.
Where your users land.
The AI sorts every user into one of these four categories.
NEW
First-time users
The AI finds users appearing in the current list who have no prior history. You get a count of your newest acquisitions.
RETAINED
Steady users
The AI identifies users present in both the current and previous lists. This shows you who is sticking around.
RESURRECTED
Returning users
The AI flags users who were inactive in the last period but showed up again now. This tracks your win-back success.
CHURNED
Lost users
The AI finds users from the previous list who are missing from the current one. You'll need to decide how to handle these lost accounts.
The workflow
What your AI does when the data arrives.
The AI processes your raw lists through a specific logic to ensure every user is accounted for.
Ingest user lists
Your AI reads the raw user identifiers from your provided source files.
classify_user_flowCompare historical states
The AI checks the current list against previous snapshots to find matches and gaps.
classify_user_flowAssign cohort buckets
Every user is tagged as new, retained, resurrected, or churned based on their movement.
classify_user_flowFlag anomalies
The AI identifies users that don't fit standard patterns for your manual review.
classify_user_flow
Try it
Copy these to start.
Use these prompts to trigger the classification immediately.
Starting points
Replace the bracketed text with your actual file names or database table names.
Growth Accounting Framework Connector
You're all set. Choose your MCP client and follow the setup instructions.
https://edge.vinkius.com/vk_preview_BwNh9Of8HL1D6Dm9nKDKxuaH0EFsiLPmdaOR37af/mcpClaude Desktop
Follow the steps below to connect in seconds.
- 1In Claude Desktop, open Settings → Connectors.
- 2Click “Add custom connector” and paste the connector link above as the remote MCP server URL.
- 3Click Add and start a new chat — Growth Accounting Framework capabilities are ready to use.
{
"mcpServers": {
"growth-accounting-framework-mcp": {
"url": "https://edge.vinkius.com/vk_preview_BwNh9Of8HL1D6Dm9nKDKxuaH0EFsiLPmdaOR37af/mcp"
}
}
}Classify the users in [users_july.csv] into new, retained, resurrected, and churned buckets.
Compare the user list from [current_month.csv] against [last_month.csv] to show cohort movements.
Look at the user data in [production_db] and tell me how many users were resurrected this period.
Identify all churned users by comparing [active_users.csv] with [previous_users.csv].
Claude
ChatGPT
Cursor
VS Code
Windsurf
Claude Code
JetBrains
Cline
Start here
Connect Growth Accounting Framework once, then ask.
Just link your data source. Your credentials stay encrypted, and you can start asking questions in your preferred AI client right away.
Connect Growth Accounting Framework to your AIFAQ
How this task behaves.
- 01
Can the AI automatically update my database with these categories?
No. The AI only reads your data and provides the classification results in your chat interface.
- 02
Does the AI delete any of my user records?
No. The AI has no permission to delete or modify your original data.
- 03
Can I use this with any user list?
Yes, as long as the list contains unique identifiers like email addresses or user IDs.
- 04
What happens if a user is in both lists but has been inactive for a year?
The AI follows the logic of the current list comparison. If they are in both, they are classified as retained.
- 05
Can the AI create new user accounts?
No. This MCP is strictly for analyzing and classifying existing user movements.
More questions about Growth Accounting Framework? The Connector page answers them. See everything the Growth Accounting Framework Connector can do
Connect Growth Accounting Framework to Claude, Cursor, ChatGPT & more
