ABM Strategy

Design and execute account-based marketing strategies that target high-value accounts with personalized, multi-channel plays. Move beyond generic campaigns to orchestrate coordinated, account-specific strategies that align sales and marketing, drive engagement with key stakeholders, and compress sales cycles for strategic accounts.

Pre-Work Framework

Before launching or scaling an ABM program, gather this strategic context:

1. What defines a high-value account in your market? (ARR/contract value, customer lifetime value, strategic fit, growth potential) — This establishes your ICP (Ideal Customer Profile) and helps you determine which accounts are worth 1:1 or 1:few level investment. Not every customer is worth account-based marketing; the accounts you choose to pursue should represent material revenue opportunity and strategic alignment.

2. What is your current ABM maturity, and what resources do you have? (Are you new to ABM with basic tools, or do you have mature ABM infrastructure? Do you have dedicated ABM personnel, or are you running ABM as an additional responsibility? What's your martech stack — CRM, ABM platform, marketing automation, engagement intelligence?) — This determines whether you can execute 1:1 ABM (highly personalized, small team, high effort), 1:few ABM (tiered approach, moderate effort), or 1:many ABM (scaled, lower personalization). Don't choose an ABM model that exceeds your team's capacity.

3. What tier structure makes sense for your revenue scale? (How many accounts can your team realistically manage at each tier? If you're a 5-person sales team, managing 50 Tier 1:1 accounts is unrealistic. If you have 200 accounts in your territory, how many go to Tier 1, Tier 2, Tier 3?) — The tier structure should match your capacity. A well-designed tier model with 10 Tier 1 accounts, 25 Tier 2 accounts, and 100+ Tier 3 accounts is far more effective than 80 Tier 1 accounts that receive inconsistent attention.

4. What technology and data do you have access to? (Can you access intent data showing which accounts are actively buying in your category? Can you see buying committee composition? Do you have engagement tracking to know who's visiting your website and from which accounts? Do you have personalization tools that can deliver account-specific web experiences?) — Your tech stack determines what level of sophistication you can achieve. If you have intent data and engagement intelligence, you can execute signal-based ABM. If you only have your CRM, you can execute account-list ABM with more manual research.

5. What are your ABM success metrics, and how will you measure them? (Are you optimizing for deals closed, sales cycle compression, deal size, win rate, customer acquisition cost, or engagement with buying committee? How will you track which ABM plays contributed to which outcomes?) — Measurement is critical because ABM programs can feel resource-intensive in the early stages. If you don't define success metrics upfront, you won't know whether to continue, scale, or pivot your approach.

Core Principles

Principle 1: Accounts Are Markets of One

Rule: Every account in your ABM program should have a unique strategy tailored to their specific situation, not a standardized template applied to multiple accounts.

Rationale: The entire value of ABM is that you treat each account (or small group of related accounts) as a unique market with unique stakeholders, pain points, buying processes, and timelines. If you're sending the same email sequence to 100 accounts with only the company name changed, that's not ABM — that's email marketing. True ABM means each account has a dedicated strategy: a mapped buying committee, identified pain points relevant to that account's situation, a play calendar coordinated across sales and marketing, and metrics specific to that account's engagement and progress. This level of customization is why ABM can yield 3-5x higher win rates and faster sales cycles than generic outbound campaigns.

Principle 2: Signal Before Spray

Rule: Before investing heavily in outbound plays, identify clear buying signals that indicate the account is actively evaluating or facing the pain your solution solves.

Rationale: ABM is capital-intensive. If you're running coordinated, multi-channel plays with research, personalization, and marketing support, you want to know you're not wasting effort on accounts with zero buying intent. Buying signals include: company announced funding, hiring surge, product launch, executive change, technology shift, visible competitive evaluation, regulatory change, earnings pressure, or website engagement from multiple stakeholders. Starting with signal-based account selection means you spend your effort on accounts where there's already momentum or urgency, rather than trying to create it from scratch.

Principle 3: Orchestrate Don't Automate

Rule: ABM plays should be carefully orchestrated across channels (email, LinkedIn, calls, events, content), timed to support each other, not automated in isolation.

Rationale: The power of ABM isn't that you automate more. It's that you coordinate across channels to create a coherent narrative. A single email is noise. A LinkedIn post from the AE followed by a personalized email 2 days later followed by a timely call followed by a gated content piece all reinforcing the same business case — that's orchestration, and it drives engagement. Orchestration requires planning: weekly plays for each account on the calendar, clear roles (who's responsible for the call, who's sending the email, who's liking the LinkedIn post), and coordination meetings to track progress. The discipline of orchestration is what separates ABM from random outreach.

Principle 4: Revenue Team Alignment

Rule: ABM only works when sales and marketing operate as a single team with shared accounts, shared metrics, and shared accountability.

Rationale: ABM breaks down when sales and marketing optimize independently. Sales wants leads and speed; marketing wants engagement metrics. In ABM, both teams share the same success metric: deals won from ABM accounts. This means marketing is not optimizing for email opens; it's optimizing for whether that email moved the account closer to a deal. Sales is not optimizing for meeting books; it's optimizing for whether the meetings led to progress. This alignment requires: (1) shared account lists, (2) joint play planning (not marketing sending plays to sales), (3) weekly revenue team syncs to review account progress, (4) shared CRM visibility into plays, responses, and deal progress.

Principle 5: Measure Engagement Not Vanity

Rule: Track metrics that matter: buying committee size, stakeholder engagement, deal velocity, win rate from ABM accounts. Don't optimize for email opens or impressions.

Rationale: ABM programs often get derailed by vanity metrics. "We sent 500 personalized emails to our target accounts" (so what? Did any of them respond? Did any of them convert?). "We had 80,000 impressions on our ABM campaign" (but did the right people see it? Did it move the deal?). True ABM metrics are: (1) Buying committee size — are you engaging with multiple stakeholders at each account? (2) Engagement progression — did week 1 response lead to week 2 meetings lead to week 3 demos? (3) Deal velocity — are ABM accounts converting faster than non-ABM accounts? (4) Win rate — are ABM accounts closing at higher win rates? (5) Deal size — are ABM accounts buying more than non-ABM accounts?

The Process

Phase 1: Define Target Account Profile and Build Account List

Entry criteria: You've decided to invest in ABM and have leadership alignment on approach (1:1, 1:few, or 1:many).

Actions:

• Document your Ideal Customer Profile (ICP) with specific criteria: industry, company size (by revenue or employee count), geographic location, technology stack, growth stage, specific use cases, market segment
• If executing signal-based ABM, define the buying signals you'll monitor: company announcements, funding, hiring, executive changes, technology adoption, competitive activity, website behavior
• Build your target account list through: (1) your own customer data (looking at your best customers to find lookalikes), (2) intent data platforms (6sense, Demandbase, ZoomInfo ABM), (3) technographic/firmographic databases, (4) manual research for known opportunity accounts
• For each target account, document: company name, industry, employee count, estimated ARR, decision-maker titles, buying signals detected, and why this account is on your target list
• Segment accounts into tiers based on revenue potential and strategic fit: Tier 1 (1:1 — highest value, dedicated resources), Tier 2 (1:few — moderate value, shared resources), Tier 3 (1:many — volume, scaled approach)
• Set tier thresholds: e.g., Tier 1 = $1M+ ARR potential (max 10 accounts), Tier 2 = $250K-$1M potential (max 30 accounts), Tier 3 = under $250K but strategic fit (unlimited, scaled plays)

Output: Target Account List document showing account name, tier, revenue potential, key stakeholders, and reasons for inclusion.

Exit criteria: You have 50-200 target accounts segmented by tier, with clear understanding of why each is included. Leadership has approved the list.

Phase 2: Build Stakeholder Intelligence and Buying Committee Mapping

Entry criteria: You have your target account list.

Actions:

• For each Tier 1 account, map the complete buying committee: every person who will influence, approve, or implement the decision. This includes: technical stakeholders (engineers, architects, ops), economic buyer (usually finance or procurement), user champion (the department that will benefit), IT/compliance, and any strategic executive (CEO, COO) for large deals
• For each stakeholder, document: name (if known), title, role in buying process (economic buyer, technical evaluator, user champion, blocker, coach), likely priorities based on their role, current relationship strength (known, unknown, competitor-aligned), and last meaningful interaction
• Identify stakeholders you don't have a relationship with yet and draft outreach strategies: What's the most authentic reason to reach out? Who can introduce you?
• Collect research signals: LinkedIn profiles, recent posts, job changes, conference appearances, published content, company background
• Identify a single thread lead (the champion who's most aligned with you and most likely to influence the other stakeholders) and document their goals, risks, and what success looks like from their perspective

Output: Stakeholder map showing all buying committee members, their roles, and your relationship status with each.

Example:

Account: Acme Corp
Stakeholder | Title | Role | Priorities | Relationship | Action
Jane Smith | VP Sales | User Champion | Ramp speed, team productivity | Strong (monthly calls) | Maintain
Marcus Rodriguez | CTO | Technical Evaluator | Integration, security, performance | Developing (1 meeting) | Technical demo
Sarah Chen | CFO | Economic Buyer | ROI, cost, implementation timeline | None | Introduction via Jane

Exit criteria: You have a complete buying committee map for each Tier 1 account and clear understanding of who you need to engage with.

Phase 3: Develop Account-Specific Selling Narratives

Entry criteria: You have stakeholder intelligence and understand buying committee composition.

Actions:

• For each Tier 1 account, develop a narrative tailored to their specific situation: not generic pain points but this company's pain points, market pressures, and strategic priorities
• Research their market: recent earnings calls (if public), announcements, hiring plans, technology shifts, competitive landscape
• Develop a narrative that connects your solution to their strategic priorities: "You announced a 50% headcount expansion. That typically requires shortening ramp time by 3-4 weeks to hit productivity targets. Here's how you compress ramp time without compromising quality..."
• Create 2-3 compelling hooks that could resonate with different stakeholders in the buying committee: (1) user champion hook — efficiency, adoption, ease of use; (2) economic buyer hook — ROI, implementation cost, time-to-value; (3) technical buyer hook — integration, security, performance
• Document specific, measurable outcomes they care about: If they're expanding, they care about ramp time and time-to-productivity. If they're under margin pressure, they care about cost reduction or efficiency. If they're competing against a specific competitor, they care about competitive advantage

Output: Account narrative document (1-2 pages per account) showing market context, their strategic priorities, your relevant value, and hooks for each stakeholder.

Exit criteria: You have documented narratives for all Tier 1 accounts and can articulate the specific business case relevant to each account's situation.

Phase 4: Design Plays by Tier

Entry criteria: You have account narratives and understand your selling themes.

Actions:

• Tier 1 plays (1:1): Highly personalized, research-intensive, multi-channel orchestration

  • Example: 4-week play combining intro email (personalized to their market pressures) → LinkedIn engagement (AE follows CTO, likes posts) → introductory call (15 min, specific agenda) → case study (industry-relevant, delivered with business context) → technical evaluation (scheduled with champion's help) → strategic business review (with VP-level attendee from your side)
  • Each play should be timed to support the others and coordinate across channels

• Tier 2 plays (1:few): Moderately personalized, planned but more efficient execution

  • Example: 3-week play combining personalized email sequence (3-5 emails over 3 weeks with escalating business cases) → LinkedIn engagement (occasional, not daily) → 1-2 calls (initial qualification, then deeper discovery if interested)

• Tier 3 plays (1:many): Scalable, templated but with account-level personalization

  • Example: Email campaign with 5-email sequence that includes account name, industry, buying signal personalization but same email flow for all accounts

• For each tier, document: opening play (how you initiate conversation), sustaining plays (how you keep momentum if they're engaged but not ready), acceleration plays (if they show buying signals), and close plays (proposal, negotiation, close)

Output: Play library showing tier-specific plays with timing, channels, and orchestration. Example: "Tier 1 Account Initial Play: Email (Day 1) → LinkedIn engagement (Days 2, 5, 8) → Call (Day 4) → Case study delivery (Day 6) → Demo scheduling (Day 10)"

Exit criteria: You have play templates for each tier that sales and marketing have jointly designed and agreed to execute.

Phase 5: Execute and Orchestrate Plays

Entry criteria: You have plays designed, account lists ready, and team alignment.

Actions:

• Assign each account to an owner (typically an AE for Tier 1, AE or SDR for Tier 2, SDR or marketing for Tier 3)
• Create a play calendar for the next 8-12 weeks showing all planned plays across all accounts, coordinated across sales and marketing: Who's sending the email? Who's making the call? What content is marketing delivering? When?
• Hold weekly revenue team syncs (sales + marketing) to review account progress: Which plays landed? Which didn't? Are we progressing the account? Do we need to adjust the narrative or play?
• Track all plays in your CRM with details: date sent, content, recipient, response, next step
• Monitor engagement: Are key stakeholders engaging? Are we expanding the buying committee? Is the conversation progressing?
• Adjust plays based on response: If email isn't landing, try a different angle. If you're only engaging the user champion, deploy multi-threading plays to reach the economic buyer

Output: Weekly play execution log showing which plays were sent, to whom, with what response, and what next step.

Exit criteria: Plays are being executed consistently, team is coordinated, and account progress is being tracked.

Phase 6: Measure, Analyze, and Iterate

Entry criteria: You have 4-6 weeks of play execution data.

Actions:

• Track engagement metrics: For each account, how many stakeholders are engaged? How frequently? Are buying committee members actively reviewing content or attending meetings?
• Track progression metrics: Which accounts are moving from "awareness" to "evaluation" to "negotiation"? Which accounts are stalled?
• Track outcome metrics: Which ABM accounts convert to deals? What's the average sales cycle length for ABM accounts vs. non-ABM? What's the win rate? Average deal size?
• Identify patterns: Which plays generate the most engagement? Which accounts responded to which messaging? Which stakeholder titles are easiest to engage?
• Do a 30/60/90 day review: After 30 days, which tactics are working? After 60 days, which accounts should be accelerated and which should be paused? After 90 days, what's your ABM ROI?
• Iterate: Drop plays that aren't landing. Double down on plays that are. Expand the buying committee in accounts where you're single-threaded. Adjust narratives based on what resonates

Output: ABM program performance report showing engagement metrics, progression rates, conversion rates, and recommendations for optimization.

Exit criteria: You have data showing which ABM tactics work best, which accounts are progressing, and where to optimize next.

Anti-Patterns

Anti-Pattern 1: The Spray and Pray ABM

Before: You create an "ABM program" by sending personalized emails to 200 target accounts every week, all from templates with company name swapped in. You call this "account-based" because it targets accounts instead of leads.

Problem: This isn't ABM. This is email marketing with account segmentation. You're spending engineering effort on personalization (which is good) but not orchestrating plays, not building buying committees, not tailoring narratives. You'll get slightly better response rates than generic email (because you used the company name) but you won't see the 3-5x ABM lift because you haven't actually changed your approach.

After: You segment accounts into tiers and execute plays appropriate to each tier. Tier 1 gets 1:1 plays (multiple touches across multiple channels, coordinated, narrative-driven). Tier 2 gets 1:few plays (personalized but more efficient). Tier 3 gets 1:many plays (scalable email campaigns with account/industry personalization). Each account has a documented narrative and a planned play calendar.

Why it works: You're matching effort to opportunity. Tier 1 accounts get the investment they deserve. Tier 3 accounts get scaled efficiency. And every account gets a coordinated, multi-channel approach — not random emails.

Anti-Pattern 2: The Marketing-Only ABM

Before: Marketing builds an ABM program: target account list, industry-specific content, account-specific ad campaigns, retargeting. Sales is not involved in planning. Marketing sends plays to sales. Sales ignores them.

Problem: ABM fails when sales and marketing aren't coordinated. If marketing is sending personalized content to decision-makers while sales is still sending generic cold emails to the same accounts, you're creating noise. If sales isn't aware of marketing plays, they won't reference them in calls. If marketing doesn't know which accounts sales is actively working, they'll keep sending plays to accounts that are already in evaluation.

After: Sales and marketing jointly plan ABM. They agree on target accounts together. Marketing and sales together design plays for each tier. Weekly revenue team syncs review account progress and coordinate next steps. Sales inputs go into marketing's account selection (which accounts are actually receptive?). Marketing inputs go into sales' account strategy (what content is working? what narrative resonates?).

Why it works: Coordination multiplies the impact. Instead of marketing and sales working independently, you're creating a unified revenue strategy.

Anti-Pattern 3: Too Many Tier 1 Accounts

Before: You identify 80 accounts that are "strategic" and put them all in Tier 1. You assign each to an AE. You plan 1:1 plays for all 80.

Problem: If Tier 1 means dedicated 1:1 plays, research, buying committee mapping, and coordinated multi-channel orchestration, then 80 accounts is unsustainable. AEs will be overwhelmed. Plays won't be executed consistently. Accounts won't get the attention they deserve. What you'll actually execute is something between 1:few and 1:many, which is fine, but you'll feel like you're failing because you promised 1:1.

After: You set a realistic Tier 1 cap: probably 5-15 accounts depending on your team size and available resources. You ruthlessly prioritize: which accounts have the highest revenue potential AND the clearest buying signals AND the most receptive stakeholders? Those go to Tier 1. Accounts that are large but have unclear signals go to Tier 2. Tier 2 accounts that show buying signals can move up to Tier 1; Tier 1 accounts that go quiet can move down to Tier 2.

Why it works: You execute plays consistently. You have capacity to do the research, build the buying committees, and orchestrate the plays. You actually deliver 1:1 ABM value instead of stretching yourself too thin.

Anti-Pattern 4: The Single-Channel Play

Before: Your ABM strategy is email. You send highly personalized emails to 100 accounts. That's it. If the email doesn't land, you try a different email. You're not using calls, LinkedIn, content, events, or any other channel.

Problem: Email is one channel. For enterprise accounts with multi-stakeholder buying committees, you need multi-channel orchestration. A single email, no matter how personalized, is easily ignored by busy executives. But an email followed by a LinkedIn connection from the AE followed by a relevant piece of content followed by a timely call is much harder to ignore.

After: You orchestrate plays across channels: email (personalized message), LinkedIn (AE follows relevant stakeholder, engages with posts), content (send specific industry case study or white paper), phone (introductory call with clear agenda), events (invite to relevant webinar or conference), advertising (run account-specific ads to buying committee). Each channel supports the others. The narrative is consistent. The timing is coordinated.

Why it works: Multi-channel orchestration is what drives ABM lift. Email alone can feel spammy. Email + call + content + LinkedIn feels like coordinated intent from an engaged vendor.

Anti-Pattern 5: The Engagement Score Theater

Before: You track "engagement scores" for ABM accounts: email opens, email clicks, content downloads, website visits, ad impressions. You optimize for these metrics. You celebrate when engagement scores go up.

Problem: Engagement scores can be completely disconnected from actual buying behavior. A prospect could open every email and download every whitepaper but never actually get budget or move toward a deal. You're measuring noise, not progress. Worse, you might optimize ABM plays for email opens instead of for deals, which leads to clickbait subject lines and irrelevant content instead of substantive business conversations.

After: You track real ABM metrics: (1) Buying committee growth — are you engaging with more stakeholders at the account? (2) Conversation progression — are plays leading to meetings, meetings leading to deeper discovery, discovery leading to evaluation? (3) Deal progression — are ABM accounts moving through your pipeline faster? (4) Win rate — are ABM accounts closing at higher rates? (5) Customer outcomes — are customers acquired through ABM more successful, more likely to expand, less likely to churn?

Why it works: You're measuring what matters. If engagement scores go up but deals don't progress, you know something's wrong with your narrative or play design. If engagement is moderate but deal progression is strong, you know you're doing the right thing even if the engagement metrics aren't flashy.

Output Format

A complete ABM program generates:

ABM PROGRAM CHARTER
Company: [Your Company]
Date: [Date]
Program Scope: [1:1 / 1:few / 1:many / mixed]
Target Accounts: [Number in each tier]
Expected Outcomes: [target revenue, cycle compression, win rate improvement]

TARGET ACCOUNT LIST
Tier 1 (1:1): [10 accounts: Company, Revenue Potential, Key Stakeholders, Buying Signals]
Tier 2 (1:few): [30 accounts: Company, Revenue Potential, Key Stakeholders]
Tier 3 (1:many): [100+ accounts: Company, Segment]

BUYING COMMITTEE MAPS (per Tier 1 account)
Account: [Name]
Stakeholder | Title | Role | Priorities | Relationship Status | Action

ACCOUNT NARRATIVES (per Tier 1 account)
[1-2 page narrative of company situation, market pressures, why they need your solution, hooks for each stakeholder]

PLAY CALENDAR (8-12 weeks)
Account | Week 1 | Week 2 | Week 3 | Week 4 | Week 5 | Week 6 | Week 7 | Week 8
[Shows all plays across all channels for all accounts, coordinated between sales and marketing]

PLAY LIBRARY
Tier 1 Initial Play: [Specific sequence of touches across channels]
Tier 1 Sustaining Play: [If account goes quiet]
Tier 1 Acceleration Play: [If buying signals appear]
Tier 2 Play: [...]
Tier 3 Play: [...]

EXECUTION LOG (weekly updates)
Week of [Date]: [Which plays were executed, responses received, accounts progressing, adjustments made]

ABM METRICS DASHBOARD
Week 1-4: [Engagement metrics, accounts progressing, plays executed]
Week 5-8: [Updated progression, conversion rates, next optimization]
90-Day Review: [Program ROI, which tactics work best, recommendations for scaling]

Task-Specific Questions

For Launching an ABM Program From Scratch

1. What tier structure makes sense for your revenue scale, and how many AEs/SDRs do you have to allocate to ABM accounts?
2. Which 10-15 accounts represent the highest revenue potential and clearest buying signals? Start there instead of trying to ABM 200 accounts.
3. For your top 3 target accounts, what are the current market pressures, strategic priorities, and most likely buying committee? Build narratives for these first.

For Optimizing an Existing ABM Program

1. Which plays are generating engagement and moving accounts forward? Which plays are flat? Where should you invest more effort?
2. Are you engaging with buying committees or just champions? How many stakeholders per account are engaged? If it's just one person, multi-threading is your biggest lever.
3. What's the sales cycle compression from ABM accounts vs. non-ABM accounts? If there's no difference, your plays might be adding noise instead of moving deals.

For Analyzing Account Engagement

1. For each Tier 1 account, plot the engagement trajectory: Day 1, Week 2, Week 4, Week 8. Is engagement growing, flat, or declining? Growing = continue current strategy. Flat or declining = change narrative or plays.
2. Which accounts are progressing (awareness → evaluation → negotiation) and which are stalled? For stalled accounts, is the problem lack of buying signals, single-threading, or misaligned narrative?
3. Which plays generated responses and which didn't? If industry narratives resonated but company-specific narratives didn't, your research might need refinement. If calls aren't landing but content is, try a different opening strategy.

Quality Checklist

Before launching an ABM program, verify:

1. Target account tiers are realistic for your team size. (If you have 5 AEs and 50 Tier 1 accounts, you've set yourself up to fail. Aim for 5-15 Tier 1 accounts that you can actually focus on.)

2. Every Tier 1 account has a complete buying committee map with named stakeholders. (Not "decision-makers" but "Sarah Chen (VP Sales), Marcus Rodriguez (CTO), James Lee (CFO)". If you can't name stakeholders, do more research.)

3. Each target account has a documented narrative tied to their specific market situation, not generic pain points. (Not "companies struggle with ramp time" but "TechCorp announced a 40% headcount expansion, which requires a ramp time reduction from 6 weeks to 4 weeks without sacrificing quality".)

4. Plays are coordinated across channels and timed to support each other. (Not "send email" and separately "schedule call" but "send email Day 1, let them read it, call Day 4, reference the email in the call".)

5. Sales and marketing have jointly designed plays and agreed on execution. (Not marketing dictating plays to sales, but revenue team designing them together.)

6. You have weekly revenue team syncs to review account progress and coordinate next steps. (Async ABM falls apart. You need in-person or sync coordination.)

7. Metrics are documented and reviewed: engagement by stakeholder, account progression, deal velocity, win rate, not just email opens. (You should be able to answer: "In week 4, what % of Tier 1 accounts had meetings scheduled?" not just "what was our email open rate?")

8. There's a clear decision rule for account progression: when does a Tier 2 account move to Tier 1, or when does a Tier 1 account move to Tier 2? (This prevents zombie accounts that are stalled but still consuming resources.)

Related Skills

When designing and executing ABM strategies, you'll often need:

• Email Personalization — How to craft personalized emails at scale that actually resonate with your target accounts
• Account Planning — How to build deeper strategic plans for individual high-value accounts once they're in your pipeline
• Competitive Intelligence — How to research your target accounts' market, competitors, and strategic pressures
• Meeting Prep — How to prepare for discovery and strategy calls with ABM account stakeholders

Example Prompts

1. Design an ABM Program for a New Market "We want to enter the healthcare vertical and focus on mid-market health systems with 500-2000 beds. Design an ABM program: (1) Define ICP and buying signals. (2) Build a target account list of 5 Tier 1 accounts. (3) Map buying committees for each. (4) Develop account narratives based on their market pressures. (5) Design Tier 1 plays."

Expected output: Complete ABM program design including ICP definition, target account list with market research, buying committee maps with names and roles, account-specific narratives addressing their strategic priorities, and a 4-week play calendar with email, phone, content, and LinkedIn orchestration.

2. Orchestrate Plays for a Strategic Account "I have a $2M ARR opportunity at Acme Corp. I've identified 5 stakeholders in the buying committee. Design a comprehensive 8-week ABM play calendar that engages all 5 stakeholders, builds narrative momentum, and stages them toward evaluation. Include all channels: email, LinkedIn, calls, content, events."

Expected output: Week-by-week play calendar showing which stakeholder receives which play each week, coordinated across channels. Email calendar with templates. Call agendas. Content suggestions. LinkedIn engagement plan. Clear orchestration showing how each play supports the others.

3. Analyze ABM Program Performance "I've run an ABM program for 90 days with 10 Tier 1 accounts. Give me a complete analysis: (1) Which plays generated the most engagement? (2) How many stakeholders are we engaging with per account? (3) Which accounts are progressing through pipeline? (4) What's our cycle compression vs. non-ABM deals? (5) What's our predicted win rate and deal size? (6) Where should we optimize next?"

Expected output: Performance analysis with engagement metrics by play type, buying committee expansion metrics, account progression analysis, sales cycle comparison, predicted ABM ROI, and specific recommendations for the next 90 days.

4. Build a Multi-Threaded Expansion Strategy for an Existing Customer "I have a $500K customer who's expanding significantly. I need to land a $1M expansion deal. Design an ABM play calendar that (1) maps the expanded buying committee (new departments getting involved), (2) develops business cases for each stakeholder, (3) orchestrates plays across channels, (4) stages them toward negotiation."

Expected output: Complete expansion ABM strategy including buying committee map for the expanded deal, stakeholder-specific narratives and business cases, 12-week play calendar with orchestration across email, calls, content, events, and executive engagement strategy.