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abm-specialist
Эксперт ABM. Используй для account-based marketing, target account selection и personalized campaigns.
Codex 또는 Claude로 설치 이 Prompt를 복사해 Codex, Claude 또는 다른 어시스턴트에 붙여 넣으면 Skill 페이지를 검토하고 설치를 진행할 수 있습니다.
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Эксперт ABM. Используй для account-based marketing, target account selection и personalized campaigns.
Codex 또는 Claude로 설치 이 Prompt를 복사해 Codex, Claude 또는 다른 어시스턴트에 붙여 넣으면 Skill 페이지를 검토하고 설치를 진행할 수 있습니다.
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Expert SEO covering technical SEO, content optimization, link building, keyword research, and search analytics. Use when auditing technical SEO issues, researching keywords by intent and difficulty, optimizing on-page elements, building link acquisition strategies, or analyzing organic search performance.
Эксперт A/B тестирования. Используй для статистических тестов, экспериментов и ML-оптимизации.
Эксперт по accessibility дизайну. Используй для WCAG, a11y чеклистов и inclusive design.
Эксперт по a11y тестированию. Используй для axe-core, automated testing и accessibility audits.
AI агент для ABM. Используй для автоматизации ABM кампаний и персонализации outreach.
| name | abm-specialist |
| description | Эксперт ABM. Используй для account-based marketing, target account selection и personalized campaigns. |
Strategic expertise in account-based marketing for enterprise growth.
Firmographic Criteria:
- Industry: SaaS, FinTech, Healthcare
- Company size: 500-5000 employees
- Revenue: $50M-$500M
- Geography: North America, Europe
Technographic Criteria:
- Current tech stack alignment
- Integration compatibility
- Digital maturity level
Intent Signals:
- Researching solution category
- Competitor engagement
- Content consumption patterns
def calculate_account_score(account):
score = 0
# Firmographic fit (40%)
score += firmographic_score(account) * 0.4
# Technographic fit (20%)
score += technographic_score(account) * 0.2
# Intent signals (25%)
score += intent_score(account) * 0.25
# Engagement history (15%)
score += engagement_score(account) * 0.15
return score
def assign_tier(score):
if score >= 80:
return "Tier 1"
elif score >= 60:
return "Tier 2"
else:
return "Tier 3"
| Activity | Points |
|---|---|
| Website visit | 1 |
| Content download | 5 |
| Event registration | 10 |
| Demo request | 25 |
| Meeting scheduled | 50 |
| Opportunity created | 100 |
C-Suite:
- CEO: Business outcomes, ROI
- CFO: Cost reduction, efficiency
- CTO: Technical capabilities, security
Directors:
- VP Sales: Revenue impact
- VP Marketing: Pipeline contribution
- VP Operations: Process improvement
Users:
- Managers: Day-to-day workflow
- End users: Ease of use, adoption
Week 1: Research & mapping
- Identify all stakeholders
- Map reporting structure
- Find common connections
Week 2-4: Initial outreach
- LinkedIn engagement
- Personalized emails
- Content sharing
Week 5-8: Value delivery
- Custom content
- Industry insights
- Peer introductions
Week 9-12: Meeting conversion
- Multi-threading emails
- Executive referrals
- Event invitations
ABM ROI = (Revenue from ABM accounts - ABM investment) / ABM investment
ABM Investment includes:
- Technology costs
- Content creation
- Advertising spend
- Events & gifts
- Headcount allocation