
Build an account-based growth model that aligns strategic accounts, value creation, marketing, sales, and measurable outcomes.
Select and prioritize accounts using fit, intent, opportunity value, evidence quality, and implementation readiness.
Map buying committees, stakeholder priorities, decision dynamics, and account-specific evidence to create actionable account plans.
Coordinate personalized campaigns, sales alignment, engagement signals, and follow-up across the complete account journey.
Measure account engagement and business impact, identify expansion opportunities, establish governance, and scale ABM responsibly.
Work through the practical lesson: Design the Predictable Lead Generation System. This applied study preserves the original The Lead Generation Machine - Build Predictable B2B Demand case context, then transfers its decision method to Account-Based Marketing: Win High-Value B2B Accounts.
Complete Strategy Decision Brief and Ideal Customer Profile Worksheet. Make a specific business decision visible before selecting activities or tools. Define the customers you can serve well and specify observable qualification and exclusion criteria.
Use the attached workbook to separate evidence from assumptions, compare alternatives and record an accountable next action with a review trigger. The final worked case is a separate fictional practice exercise.
Work through the practical lesson: Identify Ideal Accounts and Buying Signals. This applied study preserves the original The Lead Generation Machine - Build Predictable B2B Demand case context, then transfers its decision method to Account-Based Marketing: Win High-Value B2B Accounts.
Complete Research Question and Evidence Plan and Market Segmentation Matrix. Choose research methods that can answer a specific decision question within realistic constraints. Compare distinct segments using need, fit, access, and economic potential rather than broad demographics alone.
Use the attached workbook to separate evidence from assumptions, compare alternatives and record an accountable next action with a review trigger. The final worked case is a separate fictional practice exercise.
Work through the practical lesson: Create Lead Magnets and Demand Assets. This applied study preserves the original The Lead Generation Machine - Build Predictable B2B Demand case context, then transfers its decision method to Account-Based Marketing: Win High-Value B2B Accounts.
Complete Offer Design Canvas and Content Strategy and Distribution Planner. Build an offer that combines a valuable outcome, a credible delivery mechanism, and clear boundaries. Choose content that helps a defined audience make a decision and plan its distribution and measurement.
Use the attached workbook to separate evidence from assumptions, compare alternatives and record an accountable next action with a review trigger. The final worked case is a separate fictional practice exercise.
Work through the practical lesson: Outreach Qualification and Sales Handoffs. This applied study preserves the original The Lead Generation Machine - Build Predictable B2B Demand case context, then transfers its decision method to Account-Based Marketing: Win High-Value B2B Accounts.
Complete Relevant Outreach Planning Sheet and Lead Qualification Scorecard. Plan a relevant first contact around a verified business problem and a reasonable next step. Prioritize leads using fit, need, intent, and verified evidence while avoiding unsupported assumptions.
Use the attached workbook to separate evidence from assumptions, compare alternatives and record an accountable next action with a review trigger. The final worked case is a separate fictional practice exercise.
Work through the practical lesson: Pipeline Analytics Optimization and Scale. This applied study preserves the original The Lead Generation Machine - Build Predictable B2B Demand case context, then transfers its decision method to Account-Based Marketing: Win High-Value B2B Accounts.
Complete Buyer Journey and Funnel Map and Measurement and Learning Plan. Map customer decisions and the evidence needed to progress through a buying journey. Select a small set of defined measures and use them to make decisions rather than report activity.
Use the attached workbook to separate evidence from assumptions, compare alternatives and record an accountable next action with a review trigger. The final worked case is a separate fictional practice exercise.
Work through the practical lesson: Measure Economics and Scale the Revenue System. This applied study preserves the original 100M B2B Marketing System - Build Predictable Revenue case context, then transfers its decision method to Account-Based Marketing: Win High-Value B2B Accounts.
Complete Measurement and Learning Plan and Acquisition Economics Worksheet. Select a small set of defined measures and use them to make decisions rather than report activity. Calculate customer acquisition economics using consistent definitions and explicit assumptions.
Use the attached workbook to separate evidence from assumptions, compare alternatives and record an accountable next action with a review trigger. The final worked case is a separate fictional practice exercise.
This course contains the use of artificial intelligence.
Account-Based Marketing: Win High-Value B2B Accounts gives professionals a structured, evidence-based system for turning research and strategy into measurable customer and business value. The course moves beyond surface-level tactics and disconnected tool demonstrations. Students learn how to define outcomes, organize evidence, evaluate strategic options, execute with discipline, protect trust, and connect activity to financial and operational results.
The course is designed for B2B marketers, enterprise sales teams, growth leaders, consultants, and agency professionals. Across five detailed lectures, students work through a continuing business case, decision frameworks, implementation guidance, quality controls, common failure modes, and assignments that can be used immediately in an organization, client engagement, career, or business.
Students will learn how to diagnose evidence gaps, clarify assumptions, compare options, design an accountable workflow, and establish review gates before scaling. The course also explains how to evaluate quality, economics, customer response, implementation readiness, and responsible use of artificial intelligence. By the end, learners will have a practical ninety-day roadmap for disciplined execution and continuous improvement.
Dr. Law Payne combines doctoral-level leadership education with extensive entrepreneurial, marketing, and teaching experience. He holds a Doctor of Business Administration specializing in Organizational Leadership and Development, a master’s degree in Educational Psychology, a master’s degree in Business, and a bachelor’s degree in Business Administration and Marketing. His professional background includes nine-figure entrepreneurship, published work reaching more than one million copies, over fifteen years of teaching and coaching, and growth leadership involving more than one billion dollars in managed sales.