Systems Lab

Agent skill

customer-advocacy

Customer advocacy program design - advocate identification, reference orchestration, case study pipeline, community amplification, and influence-to-revenue attribution.

slowingSelf-containedInstructions only883 words

Filed under Onboarding, retention and expansion.

From varunk130/ai-gtm-skill-library · 31 skills · 5 · pushed 2026-07-31

What it does when it runs

Customer advocacy program design - advocate identification, reference orchestration, case study pipeline, community amplification, and influence-to-revenue attribution. Use when: customer advocacy, customer reference program, case study program, advocate identification, customer marketing, peer review acceleration, G2 / Gartner Peer Insights, customer-led growth, reference architecture.

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git clone --depth 1 --filter=blob:none --sparse https://github.com/varunk130/ai-gtm-skill-library.git /tmp/ai-gtm-skill-library
git -C /tmp/ai-gtm-skill-library sparse-checkout set "revops-skills/customer-advocacy"
mkdir -p ~/.claude/skills/customer-advocacy
cp -R "/tmp/ai-gtm-skill-library/revops-skills/customer-advocacy/." ~/.claude/skills/customer-advocacy/

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Reproduced in full from varunk130/ai-gtm-skill-library/blob/90e878c73a8fbfd1cab864424ccf674fdc889157/revops-skills/customer-advocacy/SKILL.md, which is licensed MIT (repository). 883 words, 12 headings.

Customer Advocacy (AMPLIFY Framework)

Design a customer advocacy program that converts happy customers into a predictable supply of references, case studies, peer reviews, and community influence - and ties advocacy activity back to pipeline. AMPLIFY replaces ad-hoc "can you do a quote?" asks with a structured advocate pipeline and an attribution model that earns the program ongoing investment.

Core Principle

Advocacy is a supply chain, not a favor. Most advocacy programs starve sales of references because they rely on relationship taps instead of a managed pipeline. AMPLIFY treats advocates like inventory: sourced, qualified, activated, replenished, and attributed.

The AMPLIFY Framework

LetterStageThe Question
AAdvocate IdentificationWho qualifies, and how is the candidate pool sourced continuously?
MMotion DesignWhich advocacy motions are in scope (reference, case study, review, speaker, community)?
PProgram MechanicsWhat's the recruitment, onboarding, and reward design?
LLibrary & InventoryHow is the advocate inventory tracked, and what's the SLA for sales requests?
IInfluence-to-RevenueHow is advocacy activity attributed to pipeline and revenue?
FFeedback LoopHow is fatigue managed and the candidate pool replenished?
YYield OptimizationWhich motions and segments produce the highest influence per ask?

Advocate Qualification

Not every happy customer qualifies. A useful candidate has:

DimensionSignal
Outcome proofQuantified business result (revenue, cost, time)
Stakeholder fitNamed champion willing and authorized to be public
Brand fitCustomer logo aligns with target ICP segments
Reciprocity readinessWilling to participate in ≥ 1 motion per quarter
Health stabilityHealth score green; no active risk plays

Advocacy Motion Catalog

MotionEffort to CustomerSales InfluenceMarketing Influence
Sales reference call30 minVery HighLow
Written case study2-4 hoursHighHigh
Video testimonial1-2 hoursMediumVery High
Peer review (G2 / Gartner)15 minMediumHigh
Conference speakerHighMediumVery High
Community AMA / panel1 hourLowHigh
Quote / blurb10 minLowMedium

Design the program so high-effort motions are reserved for top-tier advocates and entry motions (review, quote) onboard new candidates.

Reward Design

Rewards should be professional capital first, perks second.

Reward TypeExample
Professional capitalSpeaker slots, byline articles, customer-advisory-board seat
AccessRoadmap influence, early access to features, exec relationships
RecognitionAwards, MVP designations, named cohorts
PerksSwag, gift cards, event invites

Library & Inventory Discipline

The advocate library must answer four sales questions in under 2 minutes:

  1. Who can speak to outcome X?
  2. Who is in industry Y at size Z?
  3. Who has not been asked in the last N days?
  4. Who is currently in a risk play and must not be asked?

Influence-to-Revenue Attribution

Attribution LensDefinition
Reference-influenced dealsOpportunities that received ≥ 1 reference touch, win-rate uplift vs control
Asset-attributed pipelinePipeline tagged to a case study, video, or review
Advocate-sourced pipelineNet-new logos sourced from advocate referrals
Renewal influenceRenewals with advocacy participation, retention uplift vs control

Output

Save to outputs/customer-advocacy-[motion]-[YYYY-MM-DD].md

ArtifactDescription
Qualification RubricCriteria + scoring for advocate candidates
Motion CatalogNamed motions with effort, reward, and segment fit
Recruitment FunnelStages from candidate → advocate → active contributor
Reward SystemTiered rewards mapped to motion participation
Advocate Library SchemaFields, SLA for sales requests, fatigue rules
Attribution ModelTagging spec + uplift measurement design
Pipeline DashboardActive advocates by motion / segment, fatigue heatmap, request SLA performance

Process

  1. Define qualification with a written rubric - not vibes
  2. Pick motions matched to current GTM needs; don't try to run all seven at once
  3. Design the reward system with professional capital as the lead category
  4. Stand up the library with disciplined fatigue and request SLAs
  5. Build attribution tagging before launching motions, not after
  6. Run yield analysis quarterly and rotate motions / segments

Tips

  1. Cap asks per advocate per quarter - fatigue silently destroys advocate programs
  2. Tier rewards so entry motions are easy to participate in
  3. Never ask an at-risk customer to advocate - coordinate with CS
  4. Sales SLA on references is the program's most visible KPI
  5. Case study production is a pipeline, not a one-off project

Pairs With

  • customer-success - Source of qualified candidates and health gating
  • community-catalyst - Hosts and amplifies advocacy motions
  • enablement-forge - Produces the case study and reference assets
  • demand-engine - Distributes advocacy assets across channels

Other skills for the same job

Different authors, same problem. Matched on the words in the skill name, across every library in the catalogue except this one.

Need help setting it up?

This page tells you what customer-advocacy does and what it needs. Cheetah builds the agent setup it runs inside: data, CRM, sequencing and the guardrails.

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