• WEIGHTED
  • ANALYSIS
  • REPORTS
  • HUMAN

How to adjust engagement scores by medium with your AI

Connect your alumni data once. From then on, your AI handles the math to ensure a physical meetup carries more weight than a simple email click.

Ask AI about this page

Short answer

How can I weight different engagement types differently?

Your AI applies specific multipliers to raw engagement data based on the interaction medium. This ensures your scores reflect the actual depth of alumni connection. You'll see the specific outcomes below.

The results.

Where your adjusted scores land.

The AI processes the raw data and outputs these specific results.

WEIGHTED

Adjusted engagement scores

The AI uses get_platform_impact_adjustment to recalculate totals. You get a list of scores that reflect the true impact of each interaction type.

ANALYSIS

Medium-specific breakdowns

The AI separates digital, in-person, and hybrid data. This shows you exactly which channels are driving your most valuable connections.

REPORTS

Refined alumni profiles

The AI updates individual alumni records with the new scores. This gives you a clean, accurate view of your most active members.

HUMAN

Manual weight overrides

The AI provides the calculated suggestions. You decide if the suggested multipliers for specific channels match your program's goals.

The workflow

What your AI does when the data arrives.

The AI handles the heavy lifting of recalculating scores based on your specific medium weights.

  1. Identify interaction types

    The AI scans your raw engagement logs to categorize every event as digital, in-person, or hybrid.

    get_platform_impact_adjustment

  2. Apply medium multipliers

    The AI pulls the specific impact weights you've defined for each type of interaction.

    get_platform_impact_adjustment

  3. Recalculate totals

    The AI runs the math to combine the raw activity with the new medium-based weights.

    get_platform_impact_adjustment

  4. Validate adjustments

    The AI flags any massive score swings that look like outliers for you to review.

    get_platform_impact_adjustment

Try it

Copy these to start.

Use these prompts to trigger the adjustment process.

Starting points

These are starting points. Swap out the specific channel or alumni group names to match your actual data.

Accelerator Alumni Engagement Connector

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

Connector linkhttps://edge.vinkius.com/vk_preview_xpV8QSHyZRmFFjQ6TQAYlaCc26pUa4DcbU0yZHJ0/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 — Accelerator Alumni Engagement capabilities are ready to use.
Configuration · claude_desktop_config.jsonCopy
{
  "mcpServers": {
    "accelerator-alumni-engagement-mcp": {
      "url": "https://edge.vinkius.com/vk_preview_xpV8QSHyZRmFFjQ6TQAYlaCc26pUa4DcbU0yZHJ0/mcp"
    }
  }
}
Copy into chat04

  • Adjust the engagement scores for the 'Class of 2015' group using the hybrid interaction weights.

  • Show me how the engagement scores change if I double the weight for in-person events.

  • Recalculate the scores for the recent webinar series using the digital interaction multiplier.

  • Compare the raw engagement scores against the adjusted scores for our top 50 alumni.

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

Start here

Connect Accelerator Alumni Engagement once, then ask.

Just link your data source once. Your credentials stay encrypted, and you can immediately start asking your AI to run these adjustments.

Connect Accelerator Alumni Engagement to your AI

FAQ

How this task behaves.

  • 01

    Does the AI change my original engagement data?

    No. The AI only calculates adjusted scores based on the raw data. Your original records remain untouched.

  • 02

    Can the AI automatically update my CRM?

    No. The AI provides the adjusted scores and the logic used, but you must decide whether to push those changes to your CRM.

  • 03

    How does it know the difference between an email and a meeting?

    It uses the metadata in your engagement logs to identify the medium before applying the weights.

  • 04

    Can I set different weights for different years?

    Yes. You can instruct your AI to apply specific multipliers based on the alumni's graduation year or any other group attribute.

  • 05

    Will the AI delete any engagement events?

    No. The tool only reads and calculates; it has no capability to delete your engagement history.

  • More questions about Accelerator Alumni Engagement? The Connector page answers them. See everything the Accelerator Alumni Engagement Connector can do

Connect Accelerator Alumni Engagement to Claude, Cursor, ChatGPT & more