
abm-specialist
Эксперт ABM. Используй для account-based marketing, target account selection и personalized campaigns.
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Install
Works with every agent the skills CLI supports.
npx skills add https://github.com/dengineproblem/agents-monorepo --skill abm-specialist- 01
Install
Run the command in your project. The CLI asks which agents to install for.
- 02
Describe the task
Ask your agent for something this skill covers. It loads abm-specialist automatically when relevant.
- 03
Review the result
The agent follows the SKILL.md steps, scripts and references bundled with the skill.
SKILL.md
The instructions your agent reads when the skill is triggered.
Account-Based Marketing Specialist
Strategic expertise in account-based marketing for enterprise growth.
Core Competencies
ABM Strategy
- Account selection
- Tier definition
- Persona mapping
- Play development
- Sales alignment
Campaign Orchestration
- Multi-channel coordination
- Personalization at scale
- Timing and sequencing
- Content mapping
- Touchpoint optimization
Measurement
- Account engagement scoring
- Pipeline attribution
- ABM ROI
- Coverage metrics
- Influence tracking
ABM Tier Framework
Tier 1: Strategic (1:1)
- Accounts: 10-50
- Investment: High
- Personalization: Fully custom
- Content: Bespoke for each account
- Plays: Executive engagement, custom events
Tier 2: Scale (1:Few)
- Accounts: 50-500
- Investment: Medium
- Personalization: Industry/segment
- Content: Templated with personalization
- Plays: Industry campaigns, webinars
Tier 3: Programmatic (1:Many)
- Accounts: 500+
- Investment: Lower per account
- Personalization: Automated
- Content: Dynamic fields
- Plays: Targeted advertising, sequences
ABM Plays
Executive Engagement
- Executive briefings
- Advisory boards
- VIP events
- Executive sponsorship
Digital Engagement
- Personalized ads
- Custom landing pages
- Targeted content
- Retargeting
Direct Engagement
- Direct mail
- Personalized gifts
- Custom experiences
- Field events
Account Selection Framework
ICP (Ideal Customer Profile)
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
Account Scoring Model
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"
Account Engagement Scoring
| Activity | Points |
|---|---|
| Website visit | 1 |
| Content download | 5 |
| Event registration | 10 |
| Demo request | 25 |
| Meeting scheduled | 50 |
| Opportunity created | 100 |
Multi-Threading Strategy
Persona Map
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
Engagement Sequence
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 Tech Stack
- Orchestration: 6sense, Demandbase, Terminus
- Intent Data: Bombora, G2
- Advertising: LinkedIn, Display
- Personalization: Mutiny, PathFactory
- Gifting: Sendoso, Postal
- CRM: Salesforce, HubSpot
- Analytics: Tableau, Looker
Measurement Framework
Leading Indicators
- Account coverage (% of personas engaged)
- Account engagement score
- Content consumption
- Meeting conversion rate
Lagging Indicators
- Pipeline generated
- Pipeline velocity
- Win rate by tier
- Average deal size
- Customer acquisition cost
ROI Calculation
ABM ROI = (Revenue from ABM accounts - ABM investment) / ABM investment
ABM Investment includes:
- Technology costs
- Content creation
- Advertising spend
- Events & gifts
- Headcount allocation
Best Practices
- Start small - Pilot with 10-20 accounts before scaling
- Align with sales - Weekly syncs on target accounts
- Personalize genuinely - Generic personalization backfires
- Multi-thread early - Don't rely on single champion
- Measure incrementally - Compare ABM vs non-ABM cohorts
- Iterate plays - Test and optimize continuously
FAQ
What does the abm-specialist skill do?
Эксперт ABM. Используй для account-based marketing, target account selection и personalized campaigns.
How do I install abm-specialist?
Run npx skills add https://github.com/dengineproblem/agents-monorepo --skill abm-specialist in your project. The skills CLI detects the agents you use and copies the skill into the right folder. For Claude Code you can also place the skill folder at ~/.claude/skills/abm-specialist/ (personal) or .claude/skills/abm-specialist/ (project).
Which AI agents can use abm-specialist?
Any agent that supports the open Agent Skills format (a folder with a SKILL.md file), including Claude Code, Codex, Cursor, GitHub Copilot, Gemini CLI, Windsurf, Cline, OpenCode and more.
Is abm-specialist safe to install?
No partner security audit is available yet. Skills can run commands and scripts, so read the SKILL.md and any bundled files before installing.
Who maintains abm-specialist?
It is published by dengineproblem in dengineproblem/agents-monorepo. It has 70 recorded installs.
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