How does the scoring model work?

It uses a weighted framework that considers the value delivered to the customer, relationship strength, their specific storytelling potential, and potential risks.

What signals does this skill use to identify advocates?

The skill analyzes product usage data, NPS scores, expansion signals, support interactions, and community engagement to find potential advocates.

Is this suitable for Customer Success teams?

Absolutely. While it serves marketing and sales, it is designed to partner with CS teams to capture qualitative context before any outreach occurs.

How does it prevent advocate burnout?

It includes backlog management and fatigue limit tracking to ensure you rotate advocates and don't over-rely on the same individuals for every request.

Can this skill help with legal compliance?

Yes, it includes structured templates for tracking legal approvals, NDA status, and specific data sharing requirements for each advocate.

Advocate Sourcing & Scoring

Name: Advocate Sourcing & Scoring
Author: gtmagents

bygtmagents

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マーケティングオートメーション

Identifies, scores, and prioritizes customer advocates to build high-impact reference pools and advocacy programs.

概要

The Advocate Sourcing skill enables Go-To-Market teams to systematically discover and manage high-value customer advocates by analyzing product usage, sentiment, and engagement signals. It provides a structured framework for scoring advocate potential based on relationship strength and storytelling value, while ensuring compliance through consent tracking and fatigue management. This skill is essential for maintaining healthy reference pools, speaker rosters, and customer advisory councils within automated GTM workflows.

主な機能

Tiered classification into spotlight, reference-ready, and nurture groups
Weighted scoring model for storytelling potential and relationship strength
Advocate fatigue management and rotation scheduling
Compliance tracking for legal approvals, NDAs, and data sharing
29 GitHub stars
Multi-signal identification using NPS, usage, and engagement data

ユースケース

Building a diverse speaker roster for webinars and industry events
Refreshing reference pools following major product launches or rebrands
Auditing advocate coverage across specific regions or product personas

概要

主な機能

Tiered classification into spotlight, reference-ready, and nurture groups
Weighted scoring model for storytelling potential and relationship strength
Advocate fatigue management and rotation scheduling
Compliance tracking for legal approvals, NDAs, and data sharing
29 GitHub stars
Multi-signal identification using NPS, usage, and engagement data

ユースケース

Building a diverse speaker roster for webinars and industry events
Refreshing reference pools following major product launches or rebrands
Auditing advocate coverage across specific regions or product personas