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Glossary

Deal Sourcing

The process of identifying, researching, and originating potential M&A transactions — including finding acquisition targets, investment opportunities, or sell-side mandates.

What Is Deal Sourcing?

Deal sourcing is the front end of the M&A process — how investment bankers, private equity firms, and corporate development teams find and originate new transaction opportunities (Investopedia). It encompasses everything from identifying potential acquisition targets to cultivating relationships that lead to sell-side mandates. For a deeper look at the full lifecycle, see our comprehensive deal sourcing guide.

Traditional vs. AI-Powered Deal Sourcing

Traditional approach: Relies on personal networks, industry conferences, cold outreach, and manual database searches. Analysts spend hours building target lists in spreadsheets.

AI-powered approach: Uses machine learning to analyse thousands of companies across multiple dimensions — financial performance, industry trends, news sentiment — and surface high-fit opportunities automatically. Learn more about how AI is transforming deal sourcing.

Why Deal Sourcing Matters

The quality of a firm’s deal sourcing directly impacts its competitive position. As Harvard Business Review research on M&A strategy underscores, firms with broader, faster sourcing capabilities see more opportunities, act on them sooner, and ultimately close better deals. This is especially true in deal sourcing for private equity, where proprietary pipelines drive outsized returns.

Key Components

  • Target identification — finding companies that match specific investment criteria
  • Relationship mapping — understanding connections between buyers, sellers, and advisors
  • Market monitoring — tracking industry trends, transactions, and company developments
  • Outreach and engagement — initiating contact with potential targets or buyers

Deal Sourcing in Asia Pacific

Cross-border deal sourcing in Asia Pacific presents unique challenges: fragmented markets, multiple languages, varying regulatory environments, and limited public data on private companies. AI-native platforms like Amafi address these challenges by aggregating and analysing data across the region.

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