abx-strategy
Scannednpx machina-cli add skill yannickYamo/skills/abx-strategy --openclawABX 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 investment mix should shift as market position evolves.
| Stage | Primary Investment | Secondary | Rationale |
|---|---|---|---|
| Early Market (0→1) | Branding & Positioning (40%) | Sales Enablement (35%) | Category creation, message testing, foundational collateral |
| Scaling (1→10) | Demand Generation (40%) | Sales Enablement (30%) | ABM campaigns, event presence, thought leadership at scale |
| Market Leader | Demand Generation (45%) | Customer Marketing (25%) | Expansion, reference program, ecosystem development |
Framework 9: Customer Journey Mapping
Map both internal (your team) and external (customer) activities across the journey.
Template: Journey Map
| Stage | Customer Activities | Your Internal Activities | Key Stakeholders | Marketing Deliverables |
|---|---|---|---|---|
| Identification | Evaluating options, initial research, internal alignment | Signal detection, account research, tier assignment | Innovation leads, technical scouts | Account brief, persona mapping |
| Consideration | Technical evaluation, stakeholder education, vendor comparison | Multi-threading, technical deep-dives, exec engagement | CTO, architects, finance | Technical collateral, ROI calculator, battle cards |
| Validation | POC/demo, reference checks, contract negotiation | Reference activation, proposal support, legal/contract | CEO, legal, board, implementation | Custom business case, exec presentation |
| Implementation | Deployment, integration, go-live | Onboarding support, success planning | Ops team, project manager | Implementation guides, training |
| Expansion | Performance review, additional use cases, renewal | Performance reporting, expansion pitch, reference program | Exec sponsor, ops | Performance report, expansion narrative, case study |
Framework 10: Collaterals with Success Metrics
Every asset should have defined success metrics. Track not just creation, but effectiveness.
| Asset Type | Purpose | Success Metrics | Review Cadence |
|---|---|---|---|
| ROI/TCO Calculator | Self-service economic comparison | % of meetings where used, conversion rate | Monthly |
| Technical Datasheets | Spec validation for technical buyers | Time-on-page, download rate, sales feedback | Quarterly |
| Case Studies | Social proof and use case validation | Cited in sales calls, shared by prospects | Monthly |
| Battle Cards | Arm sales for competitive encounters | Win rate in competitive deals, objection handle rate | Monthly |
| Executive Presentation | C-level storytelling | Meeting-to-proposal conversion, exec feedback | Quarterly |
KPI Architecture
Tier 1: Leading Indicators (Weekly)
| Metric | Definition | Target |
|---|---|---|
| Message Resonance Rate | % of conversations where prospect uses your language | 40%+ |
| Content Engagement Depth | Time-on-page for key content by target accounts | 3+ minutes |
| Multi-thread Penetration | Unique stakeholders engaged per target account | 3+ before proposal |
| Signal-to-Engagement Latency | Time from signal to first personalized touch | <72 hours |
Tier 2: Core Pipeline Metrics (Monthly)
| Metric | Definition | Target |
|---|---|---|
| Marketing-Sourced Meetings | Meetings from marketing-initiated engagement | 2-3/month from target list |
| Pipeline Velocity | Days from first touch to proposal | Reduce 15% in 6 months |
| Deal Influence Rate | % of active pipeline with marketing touchpoints | 80%+ |
| Competitive Win Rate | % won when competitor present | Track QoQ improvement |
Tier 3: Lagging Confirmation (Quarterly)
| Metric | Definition | Target |
|---|---|---|
| Revenue Influenced | $-value where marketing contributed | 50%+ of bookings |
| Customer Expansion Rate | % entering expansion conversations | 60%+ within 18 months |
| Brand Authority Index | Unsolicited inbound citing content/thought leadership | Track growth |
Composable ABX Tech Stack
Best-of-breed tools, orchestrated through CRM as single source of truth.
| Function | Recommended Tools | Purpose | Est. Annual Cost |
|---|---|---|---|
| CRM / Source of Truth | Salesforce, HubSpot | Central account and deal record | Varies |
| Conversation Intelligence | Gong, Chorus, Clari | Capture calls, surface patterns, track competitors | $30-50K |
| Data Enrichment | Clay, Apollo, ZoomInfo | Account research, signal monitoring, contact data | $10-30K |
| Website Personalization | Mutiny, Demandbase | Account-specific landing pages, dynamic content | $25-40K |
| ABM Advertising | Influ2, ZenABM, LinkedIn | Contact-level targeting, persona-specific creative | $20-30K |
| Workflow Automation | Zapier, n8n, Make | Connect tools, trigger motions automatically | $5-10K |
| Buyer Intelligence | Humantic AI, Crystal | Personality profiling, communication preferences | $10-15K |
Phase 1 Investment: $100-165K for composable stack vs. $150-250K+ for enterprise ABM platforms with less flexibility.
90-Day Implementation Plan
Days 1-30: Listen, Map, Foundation
Listen:
- Sit in on 10+ sales calls. Document buyer language, objections, competitive mentions.
- Interview 5+ customers: Why did they choose you? What almost stopped them?
- Interview 5+ sales reps: What messaging works? What falls flat?
Map:
- Build target account list with PURE scores
- Map buying committees for top 10 accounts
- Audit existing content: What exists? Missing? Stale?
- Competitive audit: How do competitors position? Where vulnerable?
Foundation:
- Draft v1 messaging hierarchy
- Set up conversation intelligence dashboards
- Establish weekly learning loop cadence
Days 31-60: Build, Test, Launch First Bets
Build:
- Finalize messaging hierarchy; test with sales + friendly customers
- ROI/TCO calculator v1
- First persona-specific content pieces
- Set up account enrichment for top 30 accounts
Test:
- Launch 2-3 messaging bets
- Launch channel bet (e.g., executive LinkedIn content)
- First warm outbound sequences to signal-showing accounts
Align:
- Present initial findings to leadership
- Align with sales on account prioritization
Days 61-90: Iterate, Expand, Prepare
Iterate:
- First bet review: What's working? Kill or amplify.
- Update messaging based on call data
- Refine account tiers based on signals
Expand:
- Launch additional bets
- Set up website personalization for top accounts
- Begin product launch planning if applicable
Prepare:
- Present 90-day results and updated Bet Board
- Propose next phase investments
Quick Reference: Power Phrases
Use these frames in strategy discussions:
- "Hypothesis → Test → Learn → Iterate" — not plan and execute
- "Learning velocity over planning perfection" — especially at 0→1
- "The market tells us, we don't tell the market" — ground strategy in signals
- "Multi-threading is mandatory" — complex deals require parallel engagement
- "Take the complex and make it simple" — the core PMM challenge
- "Proven, not promised" — flight heritage / production deployment matters
- "Every campaign is a bet with a kill condition" — no sacred cows
Using This Skill with Claude
When working on ABX strategy, you can ask Claude to:
- Score accounts: "Apply the PURE framework to [company] based on [context]"
- Build messaging: "Create a capability-to-benefit translation matrix for [product]"
- Design bets: "Propose 5 testable messaging bets for [segment]"
- Map journeys: "Build a customer journey map for [persona] buying [product]"
- Analyze segments: "Apply the segment-specific vs. synergy framework to [segments]"
- Create collaterals: "Draft a battle card for competing against [competitor]"
- Build scorecards: "Create a PURE scorecard template for [industry]"
- Plan launches: "Design a bet board for launching [product] to [segment]"
License
MIT License. Use freely, adapt to your context, share improvements.
Overview
ABX Strategy frames a holistic GTM approach for complex B2B sales, focusing on targeted accounts, high-value deals, and long cycles. It emphasizes treating marketing as a product and validating bets to drive pipeline and velocity. The framework helps prioritize segments, align ICPs, messaging, and channels for limited-resource environments.
How This Skill Works
Start with bets: messaging, channels, ABM motion, and product launches, each defined with a hypothesis, test plan, success criteria, kill condition, and learning output. Use the Bet Board to iterate quickly, basing decisions on field data from sales calls and pipeline results. Reusable components like education topics, technical collateral, and product roadmaps can be shared across segments to accelerate alignment.
When to Use It
- You’re building a GTM for a company with fewer than 500 addressable accounts and need precise targeting.
- Deal sizes exceed $100K with sales cycles of 6+ months or more.
- Buying committees include 5+ stakeholders requiring cross-organizational messaging.
- Products require technical translation for business buyers and complex value narratives.
- Marketing must directly influence pipeline with limited resources and high ROI.
Quick Start
- Step 1: Map ICPs and 5+ stakeholder buying committees for your target accounts.
- Step 2: Define 4 bets (messaging, channels, ABM motion, product launch) with hypotheses and success criteria.
- Step 3: Run sprint-based tests, collect field data, and update the Bet Board for rapid iteration.
Best Practices
- Define clear bets (messaging, channels, ABM motion, product launch) with hypotheses and success metrics.
- Launch v1.0 campaigns, then iterate based on live field data instead of waiting for quarterly reviews.
- Prioritize ICPs and personas with the highest potential ROI given resource constraints.
- Reuse education topics, technical collateral, and the product roadmap across segments.
- Align segments via a consistent Bet Board framework and live KPI tracking.
Example Use Cases
- Messaging bets to test which narrative resonates with business buyers across target segments.
- Channel bets to decide between field events, digital campaigns, or a mix.
- ABM motion bets that trigger engagement when accounts reach defined signals.
- Product launch bets that measure impact on conversion during a new integration release.
- Segment synergy: reuse educational content and architecture diagrams across ICPs to accelerate enablement.