M&ASM 1.2 | Target Identification: The 5-Phase Analytical Framework
About this lesson
Want to break into investment banking? Download the free IB Skills Roadmap — the practitioner's guide to building your career from analyst to dealmaker. 👉 jbdcolley.com/ibskills Finding a target is easy; finding the right target requires a disciplined, data-driven framework. In Lecture 1.2 of the M&A Strategic MasterClass (M&ASM), we move beyond simple list-making to explore a five-phase analytical process that turns broad corporate strategy into a concrete, board-ready shortlist. Overview A poorly defined investment thesis is the primary reason many deals fail post-close. This session provides the tactical tools to translate that thesis into hard screening parameters, mapping entire business ecosystems to uncover the hidden risks and supply chain vulnerabilities that never appear on a balance sheet. YouTube Chapter Time Stamps 0:00 The Five-Phase Analytical Framework for Buy-Side M&A 0:25 Systematically Narrowing the Target Universe 0:54 Phase 1: From Corporate Strategy to Screening Parameters 1:23 The Investment Thesis: The Core Strategic Document 1:53 Phase 2: Mapping the Business Ecosystem 2:22 Identifying Hidden Risks and Operational Resilience 2:52 Phase 3: Market Leaders vs. Industry Disrupters 3:19 Strategic Profiles: Amazon/Whole Foods vs. Microsoft/LinkedIn 3:48 Phase 4: Tactical Market Intelligence and De-risking 4:13 The Philosophy of Validation vs. Discovery 4:41 The Final Deliverable: The Highly Defensible Shortlist 5:11 Next Steps: Crafting the Successful First Approach 🏛️ THE M&ASM CURRICULUM (Module 1 Summary) 1 Introduction & Strategy Development 🏛️2 Target Identification & Market Research 🏛️ 3 Strategic Fit vs. Financial Metrics 4 Market Expansion vs. Diversification 5 Ownership Landscapes (Public vs. PE/VC) 6 Strategic vs. Financial Buyers 7 Legal Gateway: The Documentation Roadmap 8 Strategic Imperatives: The "Why" behind the Deal 9 Risk Factors & Deal Breakers: The No-Go Filter 10 Technical Deep Dive: Drafting & E
DeepCamp AI