Salon Client Analytics

Salon Client Analytics MCP Connector for Claude

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Analyze salon engagement, retention, and churn using appointment data.

4 tools Official Updated Oct 1, 2026 Official Vinkius Partner

This MCP server provides business intelligence for salon owners by analyzing appointment records. It allows AI agents to calculate unique client counts, monitor customer retention rates, identify active clients, and generate churn reports. Use get_client_statistics to compare service volume against unique human engagement, or get_churn_report to identify lost business by finding clients who have stopped visiting.

salonclient-trackingretentionchurnanalytics

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

get_active_client_count

Identifies how many clients are currently active

get_churn_report

Identifies lost business by finding clients who have stopped visiting

get_client_statistics

Provides a high-level overview of salon engagement

get_retention_metrics

Answers how well the salon maintains its customer base

See how to talk to your AI agent using Salon Client Analytics.

Give me a summary of salon engagement for the first quarter of 2024.

In Q1 2024, the salon had 150 unique clients and 450 total appointments, resulting in an average of 3 appointments per client.

How many clients have been active in the last 30 days?

There are 42 active clients who have completed an appointment within the last 30 days.

Who are the clients we have lost? Check for anyone inactive for 60 days as of today.

There are 12 churned clients who have not visited in the last 60 days.

The unique client count is derived by counting distinct client IDs within the specified date range provided to `get_client_statistics`.

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