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abm-orchestrator

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From VijayMatt/go-to-market-agent-skills · 12 skills · 1 · pushed 2026-03-29

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Reproduced in full from VijayMatt/go-to-market-agent-skills/blob/c948db28e7a0147976cc91ad91479900a75f7904/abm-orchestrator/SKILL.md, which is licensed MIT (repository). 3,094 words, 37 headings.

ABM Orchestrator: Full Methodology

What ABM Actually Is (vs. What Most Teams Do)

Account-Based Marketing is the coordinated use of multiple channels to engage a specific set of target accounts with personalized messaging, aligned between marketing and sales toward a revenue outcome.

What ABM is NOT:

  • Sending the same email to a smaller list (that's just bad email marketing)
  • Running LinkedIn ads targeting a company name (that's one channel, not a program)
  • Marketing doing stuff and then "handing off leads" to sales (that's lead gen with ABM branding)
  • A technology platform you buy (6sense, Demandbase, etc. are tools; ABM is a strategy)

The core principle: In demand gen, you attract leads and hope some are from good accounts. In ABM, you choose the accounts first and then create demand within them. This inversion changes everything about how you build campaigns, measure success, and coordinate with sales.


The ABM Tier Framework

Not every target account deserves the same level of investment. The tier framework ensures you allocate resources proportionally to potential revenue.

Tier 1: Strategic (1:1)

What it is: Fully customized campaigns for individual accounts. Every piece of content, every touchpoint, every message is tailored to one specific company.

Investment: High (10-20 hours/month per account in marketing effort) Number of accounts: 5-25 Best for: Enterprise deals with $200K+ ACV, multi-year potential, high strategic value Typical channels: Custom content, executive dinners, personalized direct mail, 1:1 ads, tailored events, custom microsites

Tier 2: Cluster (1:Few)

What it is: Personalized campaigns for small groups of accounts that share common characteristics (same industry, same size, same challenge, same tech stack).

Investment: Medium (2-5 hours/month per cluster) Number of accounts: 25-200 (in clusters of 5-20) Best for: Mid-market deals with $50K-$200K ACV Typical channels: Industry-specific content, vertical webinars, targeted ads by account list, personalized email sequences

Tier 3: Programmatic (1:Many)

What it is: Scalable, technology-driven campaigns targeting hundreds of accounts with light personalization (industry, persona, pain point — but not account-specific).

Investment: Low (automated with periodic optimization) Number of accounts: 200-2,000+ Best for: SMB or lower mid-market with $10K-$50K ACV, or as an awareness layer for accounts not yet in Tier 1/2 Typical channels: Programmatic ads, automated email sequences, retargeting, content syndication

See references/tier-selection.md for the decision framework for choosing which tier each account belongs to.


Account Selection: Choosing Your Targets

The 3-Layer Selection Model

Every account should be scored across three layers. The composite score determines whether it's a target and which tier it belongs to.

Layer 1: ICP Fit (Is this a good account for us?) Score based on firmographic and technographic match to your ideal customer profile.

FactorHigh FitMedium FitLow Fit
Company sizeSweet spot (e.g., 200-2,000 employees)Adjacent (100-200 or 2,000-5,000)Outside range
IndustryPrimary target verticalAdjacent verticalNon-target vertical
Tech stackUses complementary tech; no blockerNeutral tech environmentUses competing/incompatible tech
GeographyPrimary marketExpanding into their marketNot served
Budget indicatorsRevenue/funding supports your price pointBorderlineClearly under-resourced

Layer 2: Intent Signals (Are they in-market now?) Score based on behavioral signals indicating active interest.

SignalHigh IntentMedium IntentLow Intent
Website visitsMultiple visits from multiple people at the accountSome visits, single personNo visits
Content engagementDownloaded gated content, attended webinarOpened emails, clicked linksNo engagement
Third-party intentResearching your category on G2, TrustRadius, etc.Researching adjacent categoriesNo signals
Search behaviorSearching for your category keywordsSearching for problem-related keywordsNo relevant search activity
Job postingsHiring for roles that use your productHiring generally in your spaceNo relevant postings

Layer 3: Relationship (Do we have a way in?) Score based on existing connections and engagement history.

FactorStrongMediumWeak
Existing contactsKnow the decision-maker personallyHave contacts but not at decision-maker levelNo contacts
Prior engagementFormer customer or active evaluatorAttended an event, downloaded contentNever interacted
Mutual connectionsTeam members have LinkedIn connections to key peopleSome shared connectionsNo connections
Partner overlapShared partner/GSI relationshipPartner aware of the accountNo partner involvement

Composite Scoring:

ICP FitIntentRelationshipRecommended Tier
HighHighAnyTier 1
HighMediumStrongTier 1
HighMediumMedium/WeakTier 2
HighLowAnyTier 3 (warm them up)
MediumHighAnyTier 2
MediumMediumAnyTier 3
LowAnyAnyDo not target

Buying Committee Mapping

Every B2B purchase involves multiple people. ABM requires understanding each person and tailoring your approach to their specific concerns.

See references/buying-committee-map.md for the fillable template. Here's the framework:

The 6 Buying Committee Roles

RoleWhat They Care AboutYour Messaging FocusContent They Consume
Economic Buyer (CFO, VP)ROI, risk, strategic alignment, budget impactBusiness outcomes, total cost of ownership, competitive advantageExecutive briefs, ROI calculators, peer case studies
Technical Buyer (CTO, IT Director)Integration, security, architecture, maintenance burdenTechnical specs, API docs, security certifications, architecture diagramsTechnical white papers, integration guides, security documentation
User Buyer (Manager, Team Lead)Day-to-day usability, workflow improvement, team adoptionEase of use, time savings, workflow automation, training supportProduct demos, UI walkthroughs, user testimonials
Champion (Internal advocate)Looking good internally, solving a problem they ownEverything above, plus internal pitch materialsBusiness cases, internal presentation decks, competitive comparisons
Influencer (Analyst, Consultant, Peer)Credibility, thought leadership, industry trendsThought leadership, research, vendor-neutral insightsIndustry reports, research papers, conference talks
Blocker (Legal, Security, Procurement)Compliance, risk, terms, vendor qualificationCompliance certifications, standard terms, reference customersSecurity questionnaires, compliance documentation, procurement guides

Mapping the Committee for Each Account

For Tier 1 accounts, map every buying committee member by name:

Account: [Company Name]
Primary Pain: [What problem are we solving?]

Economic Buyer:
  Name: [Name]
  Title: [Title]
  Known Priorities: [What do they care about this quarter?]
  Engagement Status: [Aware / Engaged / Supportive / Unknown]
  Messaging Hook: [Specific angle for this person]

Technical Buyer:
  Name: [Name]
  ...

User Buyer:
  Name: [Name]
  ...

Potential Champion:
  Name: [Name]
  Why They'd Champion: [Personal win if this succeeds]
  ...

Known Blockers:
  Name: [Name]
  Concern: [Specific concern to address]
  ...

For Tier 2 accounts, map by persona (not individual name). For Tier 3, map by role only.


Channel Orchestration

ABM is not one channel. It's the coordinated use of multiple channels, timed and sequenced so the account experiences a coherent narrative, not random noise.

The Channel Mix by Tier

ChannelTier 1Tier 2Tier 3
LinkedIn AdsAccount-specific creativeCluster-specific creativePersona-based creative
Email SequencesHighly personalized, 1:1Persona-personalized, account-referencedTemplate-based with dynamic fields
Direct MailPremium, personalized gifts/mailersThemed mailers for the clusterN/A
EventsPrivate executive dinners, 1:1 briefingsVertical-specific roundtablesWebinars, virtual events
ContentCustom microsites, personalized reportsIndustry-specific contentCategory-level content
Sales OutreachFully coordinated with marketing touchesSequenced after marketing engagementTriggered by engagement signals
RetargetingAccount-specific retargeting pixelsList-based retargetingBroad category retargeting
SocialDirect engagement with key contacts' postsEngagement with company page and key peopleBrand awareness

Orchestration Principles

  1. Surround, don't spam. The goal is for the account to encounter your brand across multiple channels in a way that feels intentional and relevant, not repetitive. If they see the same message on LinkedIn, in email, and in a direct mail piece, that's repetition. If they see a thought-leadership piece on LinkedIn, a relevant case study in email, and a personalized book in the mail, that's surrounding.

  2. Sequence, don't blast. Channels should be sequenced:

    • Week 1-2: Awareness (ads, social engagement, thought leadership)
    • Week 3-4: Education (email with relevant content, webinar invite)
    • Week 5-6: Engagement (direct mail, sales outreach)
    • Week 7-8: Activation (meeting request, demo offer, event invite)
  3. Trigger, don't schedule. The best ABM programs use engagement signals to trigger next steps, not fixed calendars. If an account visits your pricing page on Day 3, don't wait until Day 14 to send the sales email.

  4. Coordinate with sales DAILY. Marketing and sales must know what each other is doing with each account. The worst outcome is a sales rep calling the same day marketing sends a direct mail piece — and neither knows about the other. Use a shared account dashboard or daily standup.


Content Mapping

The Content Matrix: Persona x Stage

Awareness StageConsideration StageDecision Stage
Economic BuyerIndustry trend reportROI analysis / peer case studyProposal / executive summary
Technical BuyerTechnology landscape overviewIntegration architecture guideTechnical POC plan / security documentation
User Buyer"Day in the life" before/after contentProduct walkthrough / demo videoFree trial / pilot plan
ChampionProblem framing content they can share internallyInternal business case templateCompetitive comparison / objection-handling doc
InfluencerOriginal research / industry benchmarkExpert roundtable / panel contentReference customers in their network

Content Production by Tier

Content TypeTier 1Tier 2Tier 3
Blog postsExisting, curated for accountExisting, curated for clusterExisting, broadly relevant
Case studiesCustom with their industry/use case emphasisIndustry-matchedCategory-level
Reports/WhitepapersCustom analysis for their organizationVertical-specificCategory-level
MicrositesYes, account-specificNoNo
VideoPersonalized (Vidyard/Loom)Persona-specificWebinar recordings
Email copyFully custom per contactTemplated with account-level personalizationTemplated with persona-level personalization

The 90-Day ABM Sprint

ABM campaigns should be planned in 90-day sprints. This gives enough time for the multi-touch approach to work while maintaining urgency and measurability. See references/campaign-timeline.md for the week-by-week template.

Phase 1: Foundation (Weeks 1-3)

  • Finalize target account list and tier assignments
  • Map buying committees for Tier 1 and Tier 2 accounts
  • Align with sales on account ownership and outreach approach
  • Build/curate content for each persona x stage combination
  • Set up ad campaigns, email sequences, and tracking
  • Establish baseline metrics for each account (current engagement level)

Phase 2: Awareness (Weeks 4-6)

  • Launch LinkedIn/programmatic ads targeting all tiers
  • Begin social engagement with Tier 1 contacts (commenting on their posts, sharing their content)
  • Send first email touch (thought leadership, not product)
  • Ship direct mail to Tier 1 contacts (if applicable)
  • Track engagement and adjust messaging based on early signals

Phase 3: Engagement (Weeks 7-9)

  • Send second email touch (case study or relevant content based on persona)
  • Sales begins warm outreach to engaged accounts (those showing intent signals)
  • Host or invite to a relevant event (webinar, roundtable, dinner)
  • Retarget website visitors from target accounts
  • Tier 1: personalized video messages to key contacts
  • Review and adjust: which accounts are warming up? Which need a different approach?

Phase 4: Activation (Weeks 10-12)

  • Sales outreach to all engaged accounts (meeting requests, demo offers)
  • Tier 1: executive-level touchpoint (C-level email, board member introduction, executive briefing)
  • Event follow-up for attendees
  • Direct outreach to unengaged Tier 1 accounts (different approach — new angle, different contact)
  • Measure results, compile learnings, plan next sprint

Measurement: ABM-Specific Metrics

ABM measurement is fundamentally different from demand gen measurement. You're not counting leads. You're measuring account-level engagement and pipeline impact.

Primary Metrics (Report These)

MetricDefinitionTarget
Account Engagement ScoreComposite score of all interactions across an account (ad views, email opens, website visits, meeting attendance, content downloads)Increasing trend; 70%+ of Tier 1 accounts "engaged"
Pipeline Created (influenced)Total pipeline $ from target accounts during the ABM campaign3-5x the campaign investment
Pipeline VelocityTime from first touch to opportunity creation for ABM accounts vs. non-ABMABM accounts should move 20-30% faster
Average Deal SizeACV of deals from ABM accounts vs. non-ABMABM accounts should be 30-50% larger
Win RateClose rate of ABM opportunities vs. non-ABMABM opportunities should close at 1.5-2x the rate
Coverage% of target accounts with any engagement80%+ for Tier 1, 60%+ for Tier 2

Secondary Metrics (Track These)

MetricDefinition
Contact coverageHow many buying committee members are you reaching per account?
Content engagementWhich content is resonating with which personas?
Channel effectivenessWhich channels drive the most engagement per tier?
Sales follow-up rate% of marketing-engaged accounts that sales has contacted
Meeting conversion% of engaged accounts that convert to meetings

Attribution in ABM

ABM attribution is inherently multi-touch and multi-channel. Do NOT try to attribute pipeline to a single touchpoint. Instead:

  • Influenced pipeline: Any pipeline from an account that received ABM touches (most common and most useful metric)
  • Sourced pipeline: Pipeline where the first engagement was an ABM touch (useful but undercounts the impact of ABM on deals that started through other channels)
  • Account engagement correlation: Compare pipeline outcomes of highly engaged accounts vs. low-engagement accounts (proves that ABM engagement correlates with pipeline)

Sales-Marketing Coordination

ABM fails without tight coordination between marketing and sales. This is not about "alignment" in the abstract — it's about specific, operational coordination.

The Operating Model

Shared:

  • Target account list (jointly agreed)
  • Account tier assignments (jointly agreed)
  • Buying committee maps (marketing builds, sales validates)
  • Engagement dashboards (both teams see the same data)
  • Win/loss feedback (both teams contribute)

Marketing owns:

  • Ad campaigns and creative
  • Content creation and distribution
  • Event planning and logistics
  • Direct mail and gifting
  • Engagement scoring and signal detection

Sales owns:

  • 1:1 outreach and relationship building
  • Meeting execution and deal progression
  • Champion development
  • Feedback on what's working and what isn't
  • CRM data hygiene for target accounts

Coordination Cadence

CadenceMeetingAttendeesPurpose
DailyAsync (Slack channel)Marketing + SDR/BDRShare engagement signals, coordinate outreach timing
Weekly30-min standupMarketing lead + Sales lead + SDR leadReview account engagement, discuss warm accounts, adjust tactics
Bi-weeklyAccount reviewFull ABM teamDeep dive on Tier 1 accounts: what's working, what's not, next plays
MonthlyStrategy reviewMarketing VP + Sales VPPipeline impact, budget vs. results, strategic adjustments
QuarterlySprint retrospectiveFull ABM teamWhat worked, what didn't, plan next sprint

The Handoff Problem (and How to Solve It)

The biggest ABM failure mode is the "handoff gap" — marketing creates engagement, but sales doesn't follow up (or follows up too late, or with a generic pitch that ignores all the personalization marketing invested in).

Solutions:

  1. Shared Slack channel per Tier 1 account. When marketing sends a direct mail piece, it's posted in the channel. When sales makes a call, it's logged in the channel. Both teams have real-time visibility.
  2. Engagement alerts. When an account hits an engagement threshold (e.g., 3+ people from the account visit your website in a week), sales gets an immediate alert with context: who visited, what they looked at, and a suggested talk track.
  3. Co-created outreach. For Tier 1, marketing and sales co-create the outreach messages. Marketing provides the research and messaging; sales provides the relationship context and personal touch.
  4. Shared accountability. Both teams are measured on pipeline from ABM accounts, not just their individual activities.

Common ABM Anti-Patterns

"ABM is just targeted demand gen"

Running the same demand gen playbook (white paper + nurture sequence) against a smaller list is not ABM. ABM requires account-level personalization, multi-stakeholder engagement, and sales-marketing coordination.

"We'll start with 500 accounts"

500 accounts at Tier 1 is impossible. 500 accounts at Tier 3 is just demand gen. Start with 10-15 Tier 1 accounts and 50-100 Tier 2 accounts. Learn, iterate, then scale.

"Marketing will source ABM leads and hand them to sales"

ABM is not a lead gen channel. It's a coordinated motion where marketing and sales work the same accounts simultaneously. If sales is waiting for "leads" from ABM, your operating model is wrong.

"We need ABM technology before we can start"

You can run effective Tier 1 ABM with LinkedIn, email, a direct mail provider, and a shared spreadsheet. Technology accelerates ABM; it doesn't enable it. Don't buy a $100K platform before you've proven the motion manually.

"Let's measure ABM by MQLs"

MQLs are a demand gen metric. ABM metrics are account-level: account engagement score, pipeline influenced, deal velocity, and coverage. If you're counting MQLs from your ABM program, you're measuring the wrong thing.


Reference Files

FilePurpose
references/tier-selection.mdDecision framework for choosing ABM tier per account
references/buying-committee-map.mdTemplate for mapping the buying committee
references/campaign-timeline.md90-day ABM sprint template with week-by-week activities

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