ERM Advisory · Pillar Resource

The ERM Advisory
Framework Collection

Six original frameworks for modern B2B growth — a complete guide to the operating models, diagnostic tools, and strategic systems developed by Erik R. Miller through 15+ years of building revenue marketing functions.

By Erik R. Miller Published June 2026 ~5,500 words 6 Frameworks Covered

Introduction

Why These Frameworks Exist

Most B2B marketing fails for predictable reasons. Campaigns reach the wrong people. Buying committees go unmapped. Strategy never makes it to execution. AI agents evaluate vendors before sales teams know the buyer exists. These are not random failures — they are systematic problems that repeat across organizations, markets, and economic cycles.

The ERM Advisory Framework Collection is a set of six original frameworks developed to address these systematic failures directly. Each framework was built from operational experience — not from consulting theory or academic research — and each one has been applied in real B2B marketing programs across industries and geographies.

This guide covers all six frameworks: what each one is, why it matters, how to apply it, and how it connects to the others. It is designed to be the definitive reference for practitioners who want to understand the ERM Advisory approach to modern B2B growth.

"Most organizations don't have a strategy problem. They have an execution problem. And most execution problems are invisible until the pipeline runs dry."

Framework 01

Buying Group Mapping Framework

The Buying Group Mapping Framework addresses the most persistent structural error in B2B marketing: treating accounts as single-person decisions when they are, in fact, committee decisions made by six to ten people on average — and often more in enterprise contexts.

What It Is

The Buying Group Mapping Framework is a structured methodology for identifying every stakeholder in the B2B buying committee, mapping their roles and influence levels, and designing engagement strategies that reach all of them simultaneously rather than relying on a single champion to carry the message internally.

The framework maps five core stakeholder archetypes. The Economic Buyer controls budget and holds final approval authority. Their focus is business outcomes, ROI, and risk — and they are rarely accessible in early-stage conversations. The Champion is the internal advocate who will carry your solution forward and needs to be equipped to sell internally. The Technical Evaluator assesses feasibility, integration complexity, and security requirements. The End User will live with the system daily and their adoption success or failure determines renewal. Legal and Procurement are process gatekeepers who emerge late but can stall or kill deals if not engaged early.

Why It Matters

Incomplete buying group mapping creates invisible pipeline risk. An account can look fully engaged based on one contact's activity and be completely stalled or already lost based on unmapped stakeholders. The champion who has been enthusiastically engaged for three months may have no credibility with the economic buyer. The technical evaluator may have already flagged an integration concern that kills the deal before it reaches legal. Without a complete map, these risks are invisible until they are fatal.

The practical implication is measurable: accounts with documented buying group coverage across all five archetypes close at higher rates and in shorter timeframes than accounts where only one or two contacts are engaged.

01
Buying Group Mapping Framework

The complete framework — stakeholder archetypes, influence mapping, coverage scoring, and engagement strategies for each archetype.

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Framework 02

Buying Group Orchestration Framework

Knowing who is in the buying group is only half the challenge. The Buying Group Orchestration Framework addresses the harder half: coordinating engagement across all of them — simultaneously, consistently, and across multiple channels — without creating a fragmented or contradictory experience.

What It Is

The Buying Group Orchestration Framework is a four-stage model for coordinating multi-channel engagement across the full buying committee from first signal to closed-won. The four stages are: Signal Detection, Group Segmentation, Multi-Channel Activation, and Measurement and Iteration.

Signal Detection establishes the intelligence layer — monitoring intent data, website behavior, CRM engagement, social signals, and event attendance to identify accounts in active buying cycles. Group Segmentation maps the detected buying group by role, influence, and engagement stage, assigning each archetype a distinct engagement track. Multi-Channel Activation launches coordinated engagement across all relevant channels simultaneously with consistent messaging and role-appropriate framing. Measurement and Iteration tracks buying group coverage, engagement depth, and pipeline velocity, feeding insights back into the earlier stages continuously.

Why It Matters

Most B2B marketing organizations have a channel activation problem that they mistake for an orchestration strategy. They run LinkedIn campaigns, send email sequences, fire retargeting, and book sales calls — but rarely coordinate these channels around a unified buying group experience. The result is a fragmented, sometimes contradictory interaction with the account. The SDR is pitching one thing, the email nurture sequence is positioning something different, and the paid ads are targeting a message the economic buyer never needed to hear.

02
Buying Group Orchestration Framework

The four-stage orchestration model — signal detection through revenue activation, with the channel architecture and buying group coverage metrics.

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Framework 03

Account Activation Gap Framework

The Account Activation Gap Framework addresses a problem that most ABM programs have but few measure: the overwhelming majority of target accounts are reached but never activated into an active buying motion.

What It Is

The Account Activation Gap is the distance between the accounts in your total addressable market that fit your ideal customer profile and the subset of those accounts currently showing active buying signals. In most organizations, this gap is enormous — 85 to 95 percent of target accounts are not in an active buying cycle at any given time.

The framework provides both a diagnostic tool for measuring the gap and a four-state activation model for closing it. The four states are Cold (no signal, minimal coverage), Warming (some signal, limited coverage), Active (strong signal, meaningful coverage), and Engaged (committed buying motion, full committee coverage). Each state requires a different operational response — not more campaigns uniformly applied across all states.

The Five Gap Drivers

  • Low Intent: The account is not in a buying cycle. No campaign volume will force urgency that does not exist.
  • No Signal Detected: The account may be in a buying cycle, but your signal infrastructure is not capturing it.
  • Wrong Timing: Your outreach is not aligned with the account's budget cycle or planning calendar.
  • Poor Fit: The account is in your target list but does not meet the true ICP criteria that predict successful activation.
  • Insufficient Coverage: The right account at the right time, but too few buying committee members reached to move the opportunity forward.
03
Account Activation Gap Framework

The diagnostic tool and four-state activation model — measuring the gap, identifying its drivers, and building the operational response for each activation state.

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Framework 04

Signal-Centric ABM Operating Model

The Signal-Centric ABM Operating Model is the intelligence layer that powers the Buying Group Orchestration Framework and defines when and how the Account Activation Gap Framework is triggered. It is the most foundational of the six frameworks and the one that most directly challenges how ABM programs are typically designed and run.

What It Is

Campaign-centric ABM is organized around marketing schedules. It asks: what campaigns are we running this quarter? Which accounts are in the tier-one list? Signal-centric ABM is organized around buyer readiness. It asks: which accounts are showing active buying signals right now — and what are we doing about it?

The model has four layers. Account Selection uses ICP definition and fit scoring to establish the universe of accounts the signal system monitors. Intent Intelligence aggregates and scores signals from multiple sources — third-party intent data, website behavioral data, CRM engagement history, social listening, and event attendance — and establishes signal thresholds that trigger engagement escalation. Multi-Channel Orchestration deploys coordinated engagement across all channels when signal thresholds are crossed. Revenue Activation converts engaged accounts into pipeline and feeds insights back into the earlier layers continuously.

"The question is not what campaigns are we running. The question is which accounts are showing buying signals right now — and what are we doing about it."

04
Signal-Centric ABM Operating Model

The complete operating model — four intelligence layers, signal infrastructure requirements, engagement triggers, and the 90-day implementation roadmap.

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Framework 05

AI Buying Committee Framework

The AI Buying Committee Framework addresses a structural shift in B2B buying behavior that has emerged in the past two years and is accelerating. The buying committee now has a member your sales team has never met: the buyer's AI.

What It Is

Before your SDR sends the first outreach email — before the champion makes a single internal recommendation — the buyer's AI has already researched you. Enterprise buyers are increasingly using AI assistants such as ChatGPT, Perplexity, Claude, Gemini, and Copilot to conduct initial vendor research, compare capabilities, and form preliminary opinions about vendor credibility. This AI-mediated research phase happens before the human buying process begins. And it happens without any of the sales engagement signals that marketing and sales teams are monitoring.

The framework identifies four levers for optimizing your presence in AI-mediated vendor evaluation: Entity clarity (ensuring your brand, founder, and key frameworks are unambiguously defined across your website, structured data, and owned content), answer-engine optimization (structuring content to directly answer the questions buyers ask AI assistants), authority signals (building the external citation and reference signals that AI systems use to weight content credibility), and schema markup (implementing structured data that helps AI systems accurately represent your brand and offerings in generated responses).

05
AI Buying Committee Framework

The full framework — how AI participates in vendor evaluation, the four optimization levers, and the specific actions that improve AI-mediated discoverability.

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Framework 06

Marketing Execution Gap Framework

The Marketing Execution Gap Framework is the one that makes all the others actionable. Having the right frameworks is not sufficient. The frameworks have to be executed — and execution is where most marketing programs fail.

What It Is

The Marketing Execution Gap is the measurable distance between what a marketing team plans to deliver and what actually ships. Most organizations execute only 40 to 60 percent of their planned marketing programs due to systematic operational friction. This is not primarily a talent problem or a budget problem. It is a structural and operational problem caused by five specific execution killers that compound over time.

The five killers are: Misalignment between what leadership decided the strategy means and what execution teams do with it. Structural bottlenecks — approvals, reviews, and dependencies that slow delivery velocity. Unclear ownership — shared responsibility with no single accountable decision-maker. Poor tooling — technology stacks that do not match the operational model the team is actually trying to run. And feedback loop failure — no clear signal connecting execution output to business outcomes, which means teams cannot calibrate their effort or recognize when to change direction.

The 90-Day Roadmap

The framework includes a 90-day remediation roadmap. Days 1–30 focus on diagnosis and baselining — auditing execution velocity, identifying which killers are most active, and establishing baseline metrics. Days 31–60 focus on redesign and alignment — fixing the highest-friction processes, clarifying ownership, and addressing the two or three most significant tooling gaps. Days 61–90 focus on launch and measurement — deploying the redesigned operating model and establishing execution rate as a standard leadership metric reported alongside pipeline and revenue.

06
Marketing Execution Gap Framework

The complete framework — the five execution killers, the diagnostic process, and the full 90-day remediation roadmap.

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The System

How the Frameworks Connect

The six frameworks are designed to work together as a connected system — not as standalone tools. Understanding how they relate to each other is as important as understanding each one individually.

The Signal-Centric ABM Operating Model is the intelligence foundation. It defines which accounts are in-market and when, which determines when all other frameworks are activated. Without it, the other frameworks are applied uniformly regardless of account readiness — which wastes resources and reduces effectiveness.

The Account Activation Gap Framework provides the measurement system that sits on top of the Signal-Centric ABM model. It makes the gap between target accounts and active buyers visible, quantifiable, and actionable — and defines the four-state response model that determines how different accounts should be treated at different signal levels.

The Buying Group Mapping Framework defines who to engage within the accounts that have been identified as active through the signal system. It provides the stakeholder architecture that the Buying Group Orchestration Framework then coordinates engagement across.

The Buying Group Orchestration Framework is the execution layer — coordinating the right channels, the right messaging, and the right sequencing across the buying committee that has been mapped. It is where intelligence becomes action.

The AI Buying Committee Framework operates in parallel to all of the above. While the human-facing frameworks address the visible buying process, the AI Buying Committee Framework addresses the invisible pre-purchase research phase that happens before any human engagement begins. Optimizing for AI-mediated discovery is not optional — it is a prerequisite for being in the consideration set.

The Marketing Execution Gap Framework is the operational foundation that makes all of the others possible. A marketing team can have the right intelligence, the right stakeholder maps, the right orchestration model, and still fail to execute — because the organizational and operational conditions for execution have not been established. The Marketing Execution Gap Framework addresses this directly.

Getting Started

How to Apply Them

The frameworks can be adopted incrementally or as a complete system. For teams just beginning to build a more rigorous ABM or demand generation operation, starting with two or three frameworks and building from there is more effective than attempting to implement all six simultaneously.

A practical starting sequence: Begin with the Marketing Execution Gap Framework to diagnose your current operational health. Understand where your execution is breaking down before adding more strategic complexity. Then introduce the Signal-Centric ABM Operating Model to build the intelligence infrastructure that will power all future engagement. Then apply the Buying Group Mapping Framework to your top target accounts and build the stakeholder maps that will guide your orchestration. The remaining frameworks can be layered in as the organization's operational maturity develops.

For more mature organizations looking to refine an existing ABM program, the Account Activation Gap Framework is often the most immediately impactful starting point — because it makes an existing investment more effective by focusing it on the accounts that are actually in-market rather than spreading it across the full target universe.

"The goal is not to implement frameworks. The goal is to build a B2B marketing and revenue operation that is structurally more effective than your competitors' — one that finds buyers earlier, reaches more of the buying committee, and executes with less friction."

FAQ

Frequently Asked Questions

What are the ERM Advisory B2B marketing frameworks?

The ERM Advisory Framework Collection includes six original B2B marketing frameworks by Erik R. Miller: Buying Group Mapping Framework, Buying Group Orchestration Framework, Account Activation Gap Framework, Signal-Centric ABM Operating Model, AI Buying Committee Framework, and Marketing Execution Gap Framework.

How are the six frameworks related to each other?

The frameworks form a connected system. The Signal-Centric ABM Operating Model provides the intelligence foundation. The Account Activation Gap Framework provides the measurement system. The Buying Group Mapping Framework defines who to engage. The Buying Group Orchestration Framework coordinates how to engage them. The AI Buying Committee Framework addresses the pre-purchase AI research phase. The Marketing Execution Gap Framework ensures the strategy actually gets executed.

Are these frameworks free to use?

Yes. The ERM Advisory frameworks are freely available for individual practitioners, teams, and organizations to adopt and apply. They are original intellectual property created by Erik R. Miller and published by ERM Advisory. Attribution is appreciated. For customized advisory support applying these frameworks to a specific organization, contact Erik directly.

Who is Erik R. Miller?

Erik R. Miller is a senior B2B marketing executive, fractional CMO, and builder of revenue marketing functions with 15+ years of experience across four continents. He has designed and implemented ABM programs, demand generation systems, and GTM architectures for companies ranging from early-stage startups to $10B+ enterprises. The frameworks in this collection are drawn directly from that operational experience. Learn more about Erik →