AI Feature Retention AnalyzerをAIに接続

最速日

702ms

最遅日

1040ms

14日間の傾向

遅延傾向+14%

Retention Analytics Connector

準備完了です。MCPクライアントを選択し、セットアップ手順に従ってください。

コネクタリンクhttps://edge.vinkius.com/vk_preview_MSHt7rUhQY5iWnADCndbfeH29Pk3aonUpoBsOFDO/mcpコピー

Claude Desktop

以下の手順で数秒で接続できます。

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 — Retention Analytics capabilities are ready to use.

設定 · claude_desktop_config.jsonコピー

{
  "mcpServers": {
    "ai-feature-retention-analyzer-mcp": {
      "url": "https://edge.vinkius.com/vk_preview_MSHt7rUhQY5iWnADCndbfeH29Pk3aonUpoBsOFDO/mcp"
    }
  }
}

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

各クライアントの手順ガイドはこちらです。 接続方法

Claude向けのガイド付きセットアップ？ Retention AnalyticsをClaudeや他のAIに設定する

このConnectorが対応するすべてのAIクライアントを見る ↑

• 01

  プロダクトマネージャー

  どのAI機能を強化すべきか、データに基づいた明確な根拠を得るために利用できます。

• 02

  グロースハッカー

  ユーザーの行動と定着率を結びつけ、より高いエンゲージメントを引き出すための仮説検証に役立ちます。

• 03

  マーケティングディレクター

  AI機能の価値を定量化し、マーケティング資料や投資家への説明に説得力のあるデータを提供できます。

• 01

  Does this MCP only calculate retention lift?

  No. While calculating retention lift is a core function, you can also check the statistical correlation between usage and retention, estimate the feature's ROI, and summarize impact by user segment.

• 02

  What kind of data does the MCP need to run?

  The MCP requires data points like usage group retention rates, non-usage group retention rates, feature costs, and projected churn values to run its calculations accurately.

• 03

  Can I compare different user groups?

  Yes. The get_segmented_impact_summary capability allows you to compare how different user tiers or segments are affected by the AI features.

• 04

  Is this for general analytics or specific AI features?

  It is specifically designed to measure the impact of AI-driven features. It helps you quantify the value of your AI investments, not general product usage.

• 05

  How do I calculate the retention boost from a specific feature?

  You can use the calculate_retention_lift capability by providing the feature ID, the cohort size, and the retention rates for both the usage and non-usage groups.

• 06

  Can I see how different user segments are affected by AI features?

  Yes, the get_segmented_impact_summary capability provides adoption rates and average lift for specific user segments like Enterprise or Free tiers.

• 07

  How is the ROI of an AI feature determined?

  The estimate_feature_roi capability calculates the ratio of prevented churn value against the annual maintenance cost, adjusting for the feature's maturity stage.

• 

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