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$ agentstack add skill-yannickyamo-skills-abx-strategy ✓ scanned · ✓ verified, works with Claude Code, Cursor, and more.
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How agent discovery & health will work →About
ABX Strategy Framework
A comprehensive Account-Based Everything (ABX) strategy framework for B2B companies with complex sales cycles, lots of personnas, high-value deals, and limited addressable markets.
When to Use This Skill
Use this skill when:
- Building GTM strategy for companies with <500 addressable accounts
- Deal sizes exceed $100K+ with 6+ month sales cycles
- Buying committees involve 5+ stakeholders
- Products require technical translation for business buyers
- You need to prioritize segments with limited resources
- Marketing must directly influence pipeline, not just generate awareness
This framework is designed for complex B2B sales where traditional demand generation fails and account-based approaches are structurally required.
Core Philosophy: Marketing as Product
Treat every campaign, message, and channel as a hypothesis to validate, not a plan to execute.
| Traditional Marketing | Marketing as Product | |-----------------------|----------------------| | Annual messaging framework | Messaging backlog with sprint-based testing | | Launch plan executed once | Launch as v1.0, iterated based on field data | | Competitive analysis updated quarterly | Competitive intel as live feed from sales calls | | Sales enablement = collateral dump | Enablement = tested talk tracks with win-rate data | | Success = assets shipped | Success = pipeline influenced and deal velocity changed |
The Bet Board Methodology
Every initiative is a bet with four components:
┌─────────────────────────────────────────────────────────────┐
│ BET: [Name of initiative] │
├─────────────────────────────────────────────────────────────┤
│ HYPOTHESIS: [What you believe will happen] │
│ │
│ TEST: [How you will validate] │
│ │
│ SUCCESS CRITERIA: [Measurable outcome that confirms bet] │
│ │
│ KILL CONDITION: [When to abandon and pivot] │
│ │
│ LEARNING OUTPUT: [What you'll know regardless of outcome] │
└─────────────────────────────────────────────────────────────┘
Example Bet Categories:
- Messaging bets (which narrative resonates)
- Channel bets (where to invest)
- ABM motion bets (what triggers engagement)
- Product launch bets (what drives conversion)
Framework 1: Segment-Specific vs. Synergy Analysis
Not everything needs to be rebuilt for each segment. This framework identifies what MUST differ vs. what can be REUSED.
Segment-Specific (Must Differ)
| Dimension | Why It Must Differ | |-----------|-------------------| | ICPs & Personas | Different buyers, different motivations, different language | | Pain Points | Each segment has unique problems driving urgency | | Pricing Strategy | Value perception varies; commercial vs. government procurement differs | | Channels | Where buyers gather and consume information varies | | Messaging & Positioning | Same product, different value narrative per audience | | Budget Allocation | ROI per segment differs; invest proportionally |
Synergies (Reusable Across Segments)
| Dimension | Why It's Reusable | |-----------|------------------| | Education Topics | Core technology/market education applies broadly | | Technical Collateral | Specs, datasheets, architecture diagrams are universal | | Product Roadmap | Features serve multiple segments | | Strategic Partners | Integrators, channel partners often span segments | | Success Stories | On-orbit/in-production proof points validate for all | | Core Narrative | Category-level story transcends segments |
Template: Segment Analysis Matrix
## Segment: [Name]
### Segment-Specific Elements
- **ICP**: [Description]
- **Primary Personas**: [List with titles]
- **Top 3 Pain Points**:
1. [Pain point]
2. [Pain point]
3. [Pain point]
- **Pricing Model**: [Approach]
- **Primary Channels**: [List]
- **Key Message**: "[One sentence value prop for this segment]"
### Synergies from Other Segments
- **Reusable Collateral**: [List]
- **Shared Success Stories**: [List]
- **Common Education Topics**: [List]
Framework 2: ABX Account Motions
Replace the linear funnel with signal-driven account motions. Each motion is triggered by observed signals, not assumptions about where accounts "sit" in a journey.
The Five Motions
DETECT ──→ DECODE ──→ ENGAGE ──→ ACCELERATE ──→ EXPAND
│ │ │ │ │
▼ ▼ ▼ ▼ ▼
Signal Map the Multi- Close Grow the
appears buying thread the deal account
committee engagement
Motion Details
| Motion | Trigger Signals | Marketing Actions | Success Metrics | |--------|-----------------|-------------------|-----------------| | DETECT | Policy announcement, RFI published, leadership change, contract expiring, funding round, strategic initiative announced | Account research sprint, buying committee mapping, PURE score assessment, tier assignment | Signal-to-first-touch latency (<72 hrs) | | DECODE | First meeting booked, stakeholder org emerging, champion identified | Deep committee mapping, personality profiling, custom value narrative per stakeholder | # stakeholders mapped, personas engaged (target: 3+) | | ENGAGE | Active evaluation confirmed, multiple touchpoints, content consumption increasing | Multi-channel surround: exec events, site visits, technical deep-dives, personalized content, ABM ads | Multi-thread penetration, content engagement depth | | ACCELERATE | Proposal stage, competitive evaluation, procurement initiated | Competitive battle support, reference activation, custom ROI analysis, executive alignment | Pipeline velocity (days), competitive win rate | | EXPAND | First product delivered, performance validated, satisfaction confirmed | Performance reporting, expansion narrative, peer referral program, fleet/portfolio growth pitch | Expansion rate (% entering 2nd deal discussion) |
Signal Detection Categories
| Signal Type | Examples | Sources | Response Protocol | |-------------|----------|---------|-------------------| | Policy/Regulatory | New legislation, budget allocation, mandate announced | Government portals, industry news, regulatory filings | Research sprint: map decision-makers, assess timing | | Procurement | RFI/RFP published, contract expiration, vendor review | Procurement portals, industry contacts, news | Immediate: assemble capture team, prepare response | | Leadership Change | New CEO/CTO, new program manager, reorg announced | LinkedIn, press releases, job change alerts | Welcome outreach with executive briefing offer | | Competitive | Competitor failure, delay, price increase, service issue | Industry news, sales intelligence, customer network | Targeted outreach to affected customers | | Strategic | M&A activity, funding round, expansion announced | News, SEC filings, press releases | Assess fit, prepare relevant value narrative |
Framework 3: PURE Problem Scoring
Score ICP tiers using the PURE framework to identify "hair-on-fire" accounts.
The PURE Criteria
| Criterion | Question | Score 0-3 | |-----------|----------|-----------| | Painful | How acute is the problem? Is it causing real damage today? | 0=mild, 3=severe | | Urgent | Is there a forcing function (deadline, mandate, event)? | 0=no timeline, 3=imminent | | Recognized | Does the buyer know they have this problem? | 0=unaware, 3=actively seeking solution | | Expensive | What's the cost of inaction (financial, strategic, competitive)? | 0=low, 3=existential |
Tier Assignment
| Total Score | Tier | Priority | Resource Allocation | |-------------|------|----------|---------------------| | 10-12 | Tier 1: Hair-on-Fire | Highest | Dedicated account team, custom everything | | 7-9 | Tier 2: Burning Platform | High | Proactive outreach, personalized content | | 4-6 | Tier 3: Active Pain | Medium | Targeted campaigns, scaled personalization | | 1-3 | Tier 4: Emerging Need | Lower | Nurture programs, educational content | | 0 | Tier 5: Future Potential | Lowest | Light touch, brand awareness only |
Template: Account PURE Scorecard
## Account: [Company Name]
### PURE Assessment
| Criterion | Score (0-3) | Evidence |
|-----------|-------------|----------|
| Painful | [X] | [Why this score] |
| Urgent | [X] | [Why this score] |
| Recognized | [X] | [Why this score] |
| Expensive | [X] | [Why this score] |
| **TOTAL** | [X/12] | **Tier: [X]** |
### Buying Committee (Known)
| Name | Title | Role in Decision | Engagement Status |
|------|-------|------------------|-------------------|
| | | Champion / Influencer / Blocker / Decision-maker | Cold / Warm / Engaged |
### Next Actions
1. [Action]
2. [Action]
Framework 4: Message Resonance System
Creating content is not enough. This system ensures messages actually land.
The Five Components
┌─────────────────────────────────────────────────────────────┐
│ MESSAGE RESONANCE SYSTEM │
├─────────────────────────────────────────────────────────────┤
│ │
│ ┌─────────────┐ ┌─────────────┐ ┌─────────────┐ │
│ │PERSONALI- │ │STORYTELLING │ │ ENGAGEMENT │ │
│ │ZATION │ │ │ │ METRICS │ │
│ │ │ │ │ │ │ │
│ │Tailored │ │Real examples│ │Track what │ │
│ │content per │ │and case │ │lands via │ │
│ │persona and │ │studies that │ │analytics, │ │
│ │segment │ │make abstract│ │Gong, email │ │
│ │ │ │tangible │ │engagement │ │
│ └─────────────┘ └─────────────┘ └─────────────┘ │
│ │
│ ┌─────────────┐ ┌─────────────┐ │
│ │ FEEDBACK │ │ CONSISTENT │ │
│ │ LOOPS │ │ VOICE │ │
│ │ │ │ │ │
│ │Sales input, │ │Professional │ │
│ │win/loss │ │yet human. │ │
│ │analysis, │ │Innovative │ │
│ │customer │ │but proven. │ │
│ │interviews │ │ │ │
│ └─────────────┘ └─────────────┘ │
│ │
└─────────────────────────────────────────────────────────────┘
Message Resonance Rate (MRR)
The key leading indicator: % of sales conversations where the prospect uses your language back.
Track via conversation intelligence (Gong, Chorus) by monitoring:
- Keyword adoption (do they say "dedicated capacity" or "shared bandwidth"?)
- Objection patterns (are we addressing the right concerns?)
- Competitive mentions (how are we being compared?)
Target: 40%+ of qualified meetings show message adoption.
Framework 5: Capability-to-Benefit Translation
Technical products require systematic translation from what it does to why it matters.
The Translation Hierarchy
Layer 1: CATEGORY NARRATIVE
"Why this matters to the world"
│
▼
Layer 2: CAPABILITY → BENEFIT TRANSLATION
"What it does → So what? → Why you care"
│
▼
Layer 3: PERSONA-SPECIFIC MESSAGES
"Tailored value prop per buyer type"
Template: Capability Translation Matrix
| Technical Capability | So What? (Translation) | Benefit: Segment A | Benefit: Segment B | |---------------------|------------------------|--------------------|--------------------| | [Technical feature] | [Plain language explanation] | [Value for segment A buyer] | [Value for segment B buyer] | | [Technical feature] | [Plain language explanation] | [Value for segment A buyer] | [Value for segment B buyer] |
Template: Persona Message Map
| Persona | What They Care About | Message Frame | Proof Points | |---------|---------------------|---------------|--------------| | CEO/Board | Strategic positioning, competitive advantage, ROI | "[Strategic value prop]" | [Evidence] | | CTO/Technical | Specs, integration, performance, reliability | "[Technical value prop]" | [Evidence] | | CFO/Finance | TCO, payback period, risk mitigation | "[Financial value prop]" | [Evidence] | | Ops/User | Ease of use, support, day-to-day experience | "[Operational value prop]" | [Evidence] | | Procurement | Compliance, risk, vendor stability | "[Risk mitigation prop]" | [Evidence] |
Framework 6: Constant Discovery Mindset
Every engagement generates learnings. This framework captures and applies them.
The Four Discovery Questions
Before, during, and after every deal:
┌─────────────────────────────────────────────────────────────┐
│ 1. Do we know and understand the PLAYERS? │
│ Who are the real decision-makers vs. influencers? │
│ Who can kill the deal? Who's the hidden blocker? │
├─────────────────────────────────────────────────────────────┤
│ 2. Do we understand the RELATIONSHIPS? │
│ Internal dynamics? External advisors? Political factors? │
│ Who trusts whom? Who competes internally? │
├─────────────────────────────────────────────────────────────┤
│ 3. Do we understand the INFLUENCING FACTORS? │
│ Budget cycles? Regulatory timelines? Competitive moves? │
│ Internal mandates? Strategic priorities? │
├─────────────────────────────────────────────────────────────┤
│ 4. Do we know the DECISION FACTORS? │
│ Technical requirements? Commercial terms? Risk tolerance?│
│ Timeline constraints? Evaluation criteria? │
└─────────────────────────────────────────────────────────────┘
Win/Loss Analysis Framework
| Dimension | Questions to Answer | How to Capture | |-----------|---------------------|----------------| | Decision Criteria | What were the top 3 factors? Were these what we expected? | Post-decision debrief | | Buying Process | Who was the real decision-maker? Who influenced most? | Sales team debrief, call analysis | | Messaging Effectiveness | Which messages resonated? Which fell flat? | Keyword analysis, champion feedback | | Competitive Dynamics | Who else considered? What did they say about us? | Direct inquiry, third-party research | | Timeline & Process | Faster or slower than expected? What caused delays? | CRM tracking, sales input |
Framework 7: Learning Loop Architecture
Structured cadence for turning field data into strategy improvements.
| Cadence | Inputs | Decisions | Outputs | |---------|--------|-----------|---------| | Weekly | Call summaries, signal alerts, content engagement | Adjust messaging, reprioritize accounts | Updated talk tracks, account priority shifts | | Bi-weekly | Win/loss patterns, objection frequency | Test new value props, update battle cards | New messaging variants for testing | | Monthly | Full pipeline analysis, content performance, ABM metrics | Kill underperforming bets, double down on winners | Bet board update, resource reallocation | | Quarterly | Market shifts, competitive landscape, customer feedback | Strategy pivots, new bet proposals | Updated GTM strategy, new hypothesis slate |
Framework 8: Budget Allocation by Stage
Marketing inves
…
Source & license
This open-source skill is cataloged on AgentStack and links to its original source — we do not rehost the code.
- Author: yannickYamo
- Source: yannickYamo/skills
- License: MIT
Install and usage instructions live in the source repository linked above.
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Versions
- v0.1.0 Imported from the upstream source.