MCPInstall

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
  1. 01

    Install

    Run the command in your project. The CLI asks which agents to install for.

  2. 02

    Describe the task

    Ask your agent for something this skill covers. It loads abm-specialist automatically when relevant.

  3. 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

ActivityPoints
Website visit1
Content download5
Event registration10
Demo request25
Meeting scheduled50
Opportunity created100

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

  1. Start small - Pilot with 10-20 accounts before scaling
  2. Align with sales - Weekly syncs on target accounts
  3. Personalize genuinely - Generic personalization backfires
  4. Multi-thread early - Don't rely on single champion
  5. Measure incrementally - Compare ABM vs non-ABM cohorts
  6. 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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