JPARTNER

Strategic Design of Deal Sourcing, The Art of Securing Off-Market Opportunities

Jay Park

,

M&A Process Guide Series 1/5

Executive Summary

The global M&A market is showing signs of recovery in 2026, surging 31% year-over-year to reach $3.0 trillion. However, the private equity (PE) industry faces a paradoxical situation. Despite U.S.-based dry powder (uncommitted capital) decreasing from $1.3 trillion at the end of 2024 to $88 billion in September 2025, the average number of competing bidders per deal remains high at 7-8 firms. This indicates intensifying competition for a limited pool of quality deals.1

Based on the latest market data as of January 2026, this methodology presents how to avoid auction premiums and secure negotiating power through aProprietary Deal Sourcingstrategy. Key findings are as follows:

  • Proprietary Deal Flow achieves a15–25% reduction inacquisition costs compared to auctions2​
  • Add-on acquisitions accounted for75.9%of total buyouts, rising 340 basis points from the five-year average3​
  • 43% improvement in deal discovery efficiency when utilizing AI-based target screening tools4​
  • Deal Volume and Value Expected to Rise Together in 2026,Over 130$1B+ Deals Anticipated Led by Megafunds5

[Key Recommendations]
Reducing reliance on traditional broker-led auctions is essential, along with: (1) Establishing sector-focused exclusive pipelines,
(2) Implementing data-driven target screening, (3) Expanding the proportion of off-market deals through long-term relationship capital investment.

I. Market Environment Analysis: 2026 M&A Landscape

1.1 Recovery and Structural Changes in the Global M&A Market

Global M&A deal volume reached $3.0 trillion in 2025, surpassing the 10-year average of $2.9 trillion and returning to normal levels. Momentum accelerated significantly, with second-half deal volume increasing by 40% compared to the first half. However, significant disparities exist across regions and sectors.

Regional Trends6

  • North America:Transaction volume down 34%, but expectations for recovery by 2026 are rising
  • Europe:$524B, down 1% year-on-year, with polarization by country such as the Netherlands (+341%) and Germany (+57%)
  • Asia:+13% growth, Southeast Asia and India rise amid declining China share

Sector Highlights7

  • TMT (Technology, Media, Telecommunications):Transaction Volume Surges 49%, Driven by AI and Machine Learning-Centered Megadeals
  • Financial Services:+7% growth, improved financing environment through expansion of private credit
  • Energy & Utilities:+33% rebound, benefiting from ESG and carbon neutrality policies

The domestic market is expected to show a gradual recovery after the 2025 downturn. Strengthened responsible management, the launch of the 150 trillion won National Growth Fund, and corporate restructuring by large companies (including LG Chem's 1.4 trillion won and SK Eco Plant's 1.78 trillion won carve-outs) are anticipated to act as catalysts for revitalization in 2026.8​

1.2 Deployment Pressure in the Private Equity Industry and Strategic Responses

Dry powder for U.S. private equity funds stood at $880 billion as of September 2025, a 33% decrease from the all-time high of $1.3 trillion recorded at the end of 2024. This suggests accelerated deal execution,yet the Investment-to-Exit ratio remains at 2:1(improved from 3:1 in 2022-2023), indicating persistent exit difficulties and accumulating portfolio inventory.

Primary Causes of Deployment Imbalance

  1. Valuation Gap:Persistent 15-20% Discrepancy Between Seller's Expected Value and Buyer's Willingness to Pay9​
  2. Rising Financial Costs:Despite Benchmark Rate Cuts, LBO Profitability Pressured by Widening Leverage Loan Spreads10
  3. LP Pressure Mounts:Capital Call-Distribution Imbalance Intensifies Demand for DPI (Distribution to Paid-In) Improvement11

In response, leading private equity funds are accelerating their strategic responses.

  • Add-on Acquisition Focus:Securing economies of scale and pricing power through bolt-on deals centered on existing platform companies. Add-on share rose to 75.9% in Q2 2025, a 340-basis-point increase from the five-year average of 72.5%.12​
  • Alternative Structure Expansion:Continuation Fund, Carve-out, Take-Private, and Other Creative Capital Deployment13
  • Sector Specialization Deepening:Top-Down Sourcing Based on Expertise in TMT, Healthcare, Infrastructure, etc.

1.3 Intensifying Deal Sourcing Competition: "Flight to Quality"

Despite the recovery in deal volume,competition for high-quality targets has intensified. The average number of auction participants in 2025 was 7-8 companies (approximately 8.7 companies), with $500M+ megadeals seeing an average of 12.3 companies bidding. This is attributable to the following factors:

  1. Strategic Buyer Aggressive Entry:According to the 2025 PE Survey, 43% of PE managers responded that "Strategic Acquirers are the biggest competitors." Strategic Acquirers can offer prices 15-30% higher than PE due to synergy effects.14​
  2. Megafund Concentration:Capital flows toward the top 10 megafunds driven by LPs' "flight to safety" mentality. Small GPs see fundraising periods extend to an average of 20 months.15​
  3. Declining Proprietary Deal Share:Intermediary-led Auctions (IB, Boutique Advisory) account for 65% of total transactions. Increased difficulty accessing Off-Market deals16​

[Key Takeaway]
Traditional broker-dependent sourcing fuels overheated competition and high acquisition costs, eroding profitability.
Building an independent deal pipeline is the key to competitive advantage.

II. Proprietary Deal Sourcing Strategy Framework

2.1 Proprietary vs. Intermediated Deal Flow: Economic Differences

Deal Sourcing is broadly categorized into two types.

CategoryIntermediated (Auction)Proprietary (Off-Market)
Access routeIB, M&A Broker, CIM DistributionDirect target discovery, relationship-based outreach
Competition intensityAverage of 8.7 companies bidding (bdo)Restricted competition or monopoly involving 1 to 3 companies
Price premiumAuction Premium 15–25% (sourcecodeals)Market Valuation Level
Information asymmetryCIM Standard Restricted InformationIn-depth preliminary investigation possible
Deal CertaintyMidpoint (Competitive Bidding Volatility)High (Trust-Based Negotiation)
Estimated time required
(Varies significantly depending on the company's organization) 		4–6 months (Process-driven)6–18 months (Relationship-driven)

(Example) Quantitative Effect Analysis
For example, for a target with EBITDA of $50M and an EV/EBITDA multiple of 10x

  • Auction method:Competitive bidding at 10.5x–11.0x premium → Enterprise Value $525–550M
  • Proprietary Approach:9.5x–10.0x negotiation → Enterprise Value $475–500M
    :$50–75M (10–15%) acquisition cost reduction effect

Furthermore, a Proprietary Deal is advantageousfor optimizing non-price terms, including: (1) increasing the seller's negotiation flexibility (e.g., utilizing earn-outs and seller financing),
(2) allowing for an extended due diligence period, and (3) enabling prior agreements on key talent retention.

2.2 Deal Sourcing's Two-Pronged Approach: Top-Down vs. Bottom-Up

Effective proprietary sourcing requires a combination of two approaches.

Top-Down Approach: Sector-Focused Strategy

This approach involves pre-defining investment themes and sectors, then systematically screening the universe within that industry.

Process

  1. Sector Selection:Select industries possessing structural growth potential (e.g., AI Infrastructure, Climate Tech, Healthcare IT) or consolidation opportunities (Fragmented Market).
  2. Market Mapping:Mapping the top 50 to 100 players, analyzing revenue, EBITDA, growth rates, and ownership structure
  3. Target Shortlist:Identify 20–30 companies meeting investment criteria (revenue $50–500M, EBITDA margin 15%+, family-owned, etc.)
  4. Proactive Outreach:Presenting a Personalized Value Proposition (e.g., "Synergy between your industry's integration trends and our platform")

[Advantages]
By accumulating sector expertise, building industry networks, and leveraging experience from similar deals, you canreduce due diligence time by 30-40%.
As an aside, while many companies desire to internalize this function, the talent pool capable of performing it within the industry market is extremely limited. This is not to disregard other sectors, but "direct deal sourcing" involves performing work with a distinct nature and character compared to the brokerage-type functions typically handled by advisory firms or IBs, such as deal desks. The reality is that only a very small number of large corporations possess the personnel capable of executing this function.

Bottom-Up Approach: Opportunity-Capturing Strategy

This approach evaluates opportunities flowing in through various pipelines, including industrial networks, accounting firms, law firms, and large corporate carve-out routes.

Process

  1. Pipeline Diversification:Building relationships with investment banks, Big Four accounting firms' transaction services, law firm M&A teams, and large corporations' strategy departments.
  2. Deal Screening:Initial Screening of Incoming Deals (Size, Sector Fit, Return Profile)
  3. Fast-Track Evaluation:Preliminary Valuation and IC Pre-Review within 48 to 72 hours for Target Deals of Interest
  4. Competitive Positioning:Early Securing of MoU·NDA·Exclusivity

[Advantages]
Capturing unexpected high-quality opportunities, prioritizing access to large corporation spin-offs/carve-outs (e.g., SK Eco Plant's KRW 1.78 trillion environmental business sale)
However, competitive risks persist due to its reactive nature.
[Best Practice]
Leading PE firms maintaina 70% Top-Down + 30% Bottom-Up portfolio, creating a virtuous cycle where Top-Down sector expertise accelerates Bottom-Up deal evaluation speed.

2.3 Building a Proprietary Deal Pipeline: A Three-Step Framework

Stage 1: Defining the Target Universe and Building Data (0–3 months)

Core Activities

  • Establishing the Investment Thesis:Clarifying the investment sector, geographic scope, company size (revenue·EBITDA), and financial criteria (Revenue Growth 10%+, EBITDA Margin 12%+, etc.)
  • Total Addressable Acquisition Pool (TAAP) Construction:Listed company data (Bloomberg, CapitalIQ), unlisted company information (PitchBook, Crunchbase, credit rating agency databases), comprehensive industry reports
  • Ownership Intelligence:Detectingsale signalssuchasfamily ownership, impending generational transition, and private equity holdings nearing 5+ years.

Tool & Methodology

  • AI-Based Screening: Extracting Keywords "Restructuring," "Business Reorganization," and "Generational Change" from News and Public Announcements Using Natural Language Processing (NLP)
  • Scoring Algorithm: Composite scoring of financial health (Z-Score), growth potential (3-year CAGR), and industry attractiveness (Porter’s Five Forces)

Output:300–500 companies Universe → 50–80 companies Priority Target List

Stage 2: Relationship Building and Value-First Outreach (3–12 months)

The core of a proprietary deallies in building trust before the transaction. It requires a long-term relationship investment, not a one-time cold call.

Outreach Strategy

  1. Personalized Introduction
    • Send personalized letters to target CEOs and owners. Avoid generic templates; mention the company's specific achievements and issues.
      • Example: "We noted your company's achievements in launching new products in Q3 2025. We have experience supporting global expansion in this market by investing in five similar platform companies."
  2. Value Proposition Presentation: Before M&A discussions, Industry Insights, Benchmark Reports, Prospect Introductions Providing tangible value
    • Case: PE fund provides competitor multiple analysis report to target company free of charge → Secures sale advisory mandate 6 months later
  3. Multi-Touch Tapping (Campaign):Email (1st contact) → LinkedIn Message (2 weeks later) → Phone Call (1 month later) → In-Person Meeting Request (2 months later) Sequential or parallel contact.First meeting secured after an average of 7 contacts.
  4. Stakeholder Mapping:Identify key decision influencers including the CEO, CFO, major shareholders, and board members, and establish multi-channel relationships.

Do’s and Don’ts
✅Do:“We’d love to learn about your business” (Learning mindset)
❌Don’t:“We want to acquire your company” (Immediate pressure to transact)

Expected Conversion:Priority Target 50 companies → Initial meetings with 15–20 companies → Deep engagement with 5–8 companies → 2–3 companies enter LOI stage (12–18 months required)

Stage 3: CRM-Based Pipeline Management and Timing Capture (12 months+)

CRM System Utilization:Salesforce, HubSpot, or Private Equity-specific CRMs (Affinity, DealCloud) for complete contact history, meeting notes, financial data, and Next Action records.

Key Metrics Tracking

  • Engagement Score:Meeting frequency, email response rate, and information sharing level are scored.
  • Readiness Index:Owner age, presence of succession plan, recent strategic turning points (e.g., completion of new factory investment)
  • Competitive Intelligence:Gathering information on other private equity firms targeting the same deal

Capturing Timing Catalysts

  • Internal factors:Generational transition, partner disputes, need for large-scale R&D investment, founder retirement
  • External Factors:Regulatory changes, accelerated industry consolidation, trend toward privatization of listed companies

[Empirical Example]
Maintained relationship with family-owned manufacturing company for 2 years → Proposed "succession planning support" when founder reached age 70 → Successfully secured exclusive negotiation without competition

III. Data-Driven Deal Sourcing: Leveraging AI and Big Data

3.1 Traditional Database vs. AI-Augmented Sourcing

Traditionally, PE funds have reliedon structured databasessuch as Bloomberg, CapitalIQ, and PitchBook.
However, these have limitations: (1) They focus on public information, resulting in insufficient coverage of private SMEs; (2) They provide static data, making it impossible to gauge real-time sale intentions; (3) Sharing the same database leads to information parity with competitors.

By 2026, industry-leading PE firms and (based on experience) Companies S and O are transitioning to AI and machine learning-based Dynamic Sourcing.

Areas of AI Application

  1. Web Scraping & NLP:Extracting signals for "expansion plans," "fundraising," and "M&A review" from news, corporate blogs, LinkedIn, and job postings
  2. Predictive M&A Modeling:Learning from past M&A data → Predicting the "probability of sale within the next 12 months" based on financial, governance, and industry variables
  3. Network Analysis:Detecting signs of sale preparation through changes in the network, such as board composition, consulting firm changes, and hiring executives with high network/background levels.

[Case Study]
According to a 2025 study, private equity funds utilizing Transformer-based time series analysis modelsachieved a 43% improvement in identifying promising investment targets compared to traditional methods. Among targets suggested by AI, 18% actually underwent M&A within 24 months, versus 7% for traditional approaches.17​

3.2 Utilizing Alternative Data Sources

Non-traditional data sources

  • Patent·R&D Data:A surge in new patent applications signals rising technological value. Essential for Deep-Tech investment.
  • ESG and Sustainability Data:Pre-assessment of ESG Risks/Opportunities such as Carbon Emissions and Supply Chain Transparency
  • Talent Flow Data:LinkedIn-based key talent turnover rate, hiring scale → Assess organizational stability and growth momentum
  • Supply Chain Data:Key Customer and Supplier Relationship Changes → Verification of Sales Stability

[Empirical Example]
When screening Climate Tech investment targets, Company S cross-analyzes (1) CapitalIQ financial data, (2) KIPO R&D portfolios, (3) Carbon Disclosure Project ESG scores, and (4) Crunchbase investment histories using AI → extracts the top 15 companies by composite score.

3.3 Building a Proprietary Scoring Model

The developmentof proprietary scoring algorithmsis becoming widespread to enhance deal sourcing efficiency.

Multi-Dimensional Scoring Framework

Evaluation DimensionDetailed Indicators (Example)Weight (Example)
Financial soundnessAltman Z-Score, Current Ratio, Debt/EBITDA25%
Growth potential3-Year Sales CAGR, EBITDA Margin Trend, R&D/Sales Ratio30%
Industrial AttractivenessMarket growth rate, competitive intensity (HHI), barriers to entry20%
Ownership ReadinessOwner age, succession plan, PE holding period15%
Strategic FitExisting portfolio synergies, sector expertise alignment10%
  • (Exemplary) Implementation Plan
    • 80–100 points:Immediate Outreach (Contact within 2 weeks)
    • 60–79 points:Monitoring List (updated quarterly)
    • Below 60 points:Watchlist (re-evaluated once a year)

Dynamic Rescoring:Real-time score recalculation upon news/disclosure events
– Example: Target company announces "New factory investment completed" → Growth potential score +15 points → Automatic alert sent

IV. Experience-Based Practical Deal Sourcing Playbook: Process & Best Practices

4.1) Deal Sourcing Team Organizational Structure Setup

Recommended Team Structure

  • Head of Origination:Strategy Development, Industry Network Management, Pre-Coordination of IC
  • Origination Associates:Target Screening, CRM Management, Outreach Execution
  • Data Analyst/Scientist:AI model operations, alternative data analysis, scoring model enhancement
  • Industry Advisors:Sector-specific expert advisory panel (e.g., former CEO with 25 years of experience in the TMT industry)

Collaboration Model:Origination Team identifies targets → Deal Team conducts Preliminary DD → Investment Committee approval → Deal Team leads Full DD and negotiations

4.2) Establishing the 6-Step Deal Sourcing Process

Step 1: Strategic Planning (Once a month)

  • Quarterly Investment Theme Review (e.g., "Q1 2026: Focus on AI Infrastructure and Climate Tech")
  • Calculating the number and scale of deals required relative to dry powder (Given the reality that if the fund GP side is not active, the LP must take the initiative first)
  • Collaborate with the Sector Team to select Priority Industries

Step 2: Target Identification (Once a week)

  • AI screening identified 50 new target companies
  • Initiating a Deep Dive into the Top 15 Companies Based on the Scoring Model
  • Monitoring Competitor M&A Trends (e.g., Backtracking Add-on Targets)

Step 3: Pre-Outreach Research (4–8 hours per target)

  • Financial Data Collection: Credit Rating Reports, Industry Estimates, Peer Company Proxy
  • Executive Background Check: LinkedIn, Past Employment History, Industry Reputation
  • Value Proposition Design: Derive three "values we can provide" tailored specifically to the target audience.

Step 4: Initial Outreach (Average 7 Touch Points)

  • Touch 1–2:Personalized Email + LinkedIn Connection Request
  • Touch 3~4:Follow-up Email with Industry Insight (e.g., Sector Benchmark Report)
  • Touch 5~6:Phone Outreach, In-Person Meeting Proposal
  • Touch 7:Executive Dinner or Industry Conference Utilization Informal Meeting

Conversion Rate:Initial Outreach 100 cases → 25 responses → 10 meetings → 3 NDAs signed/DD conducted → 2 investments completed

Step 5: Relationship Nurturing (6–18 months)

  • Quarterly Follow-up: Sharing Industry Trends, Introducing Portfolio Company Case Studies
  • Annual Event Invitation: LP Day, Industry Summit, and other networking opportunities provided
  • Quick Wins Provided: Immediate value creation through lead generation, recruitment support, vendor referrals, and more.

Step 6: Deal Execution Trigger (Timing Capture)

  • Internal Catalyst:Founder retirement, partner disputes, and the emergence of large-scale CAPEX requirements
  • External Catalyst:Competitor M&A, Regulatory Changes, Accelerated Industry Consolidation
  • Proactive Proposal:Build the case that "now is the optimal time" → Present the Letter of Intent → Secure exclusivity

Success Metric:Maintain 100 companies in the Relationship Pool → Submit 8–12 LOIs annually → Close 2–3 deals

4.3) Inbound vs. Outbound Sourcing Balance

Inbound Sourcing (Passive)

  • Path:IB Teaser Memo, Accounting Firm Referral, Large Corporation Carve-out Public Bidding
  • Advantages:Clear intent to sell, standardized process, rapid execution capability
  • Disadvantages:High competition, Auction Premium, Information asymmetry

Outbound Sourcing (Proactive)

  • Path:AI Target Discovery, Cold Outreach, Leveraging Industry Networks
  • Advantages:Potential for exclusive negotiations, pricing leverage, Deep Access
  • Disadvantages:Long conversion cycle, high initial rejection rate

[Best Practice Ratio]
Inbound 40% : Outbound 60%. Maintain short-term deal flow through Inbound, while building long-term competitive advantage through Outbound.

V. Sector-Specific Sourcing Strategy: TMT · Healthcare · Industrial Case Studies

5.1) TMT (Technology, Media, Telecom) Sector

Market Characteristics:TMT Sector M&A Deal Volume Surges 49% in 2025, Led by Megadeals Centered on AI, SaaS, and Cybersecurity18

Sourcing Strategy

  1. AI-First Screening:Utilizing Alternative Data such as GitHub Star Count, Tech Blog Mention Frequency, and Developer Community Activity
  2. Talent Magnet Theory:Startups with Surging Talent Inflow (LinkedIn Talent Insight) = Next-Generation Unicorn Candidates
  3. Product-Led Growth (PLG) Metrics:Screening Focused on Monthly Active Users (MAU) and Net Revenue Retention (NRR 120%+)
  4. Venture Capital Co-Investment:Collaborating with Series B~C Stage VCs, Identifying Targets for Growth Equity → Buyout Transition

[Practical Playbook Proposal]
When identifying SaaS targets, screen based on ARR $10M+, NRR 110%+, Gross Margin 75%+ → Present the Value Prop of "Growth Capital and Go-to-Market Acceleration Support" to the top 30 companies​19

5.2 Healthcare & Life Sciences

Market Characteristics:Benefiting from aging populations, digital health, and precision medicine. However, due to regulatory risks and clinical uncertainties, due diligence is highly challenging.

Sourcing Strategy

  1. FDA/EMA Approval Pipeline Tracking:Early identification of companies with Phase 3 clinical trials underway or nearing approval
  2. Physician Network Leverage:Forming a Key Opinion Leader (KOL) Advisory Panel → Gathering information on "new technologies gaining attention in the field"
  3. Payor Data Analysis:Validating Actual Market Acceptance Using Insurer Reimbursement Data
  4. University Technology Transfer Office:Collaborating with the university TTO, early engagement with spin-out companies

[Proposed Risk Management Approach]
Proposal for Scientific Advisory Board participation during initial contact → In-depth pre-review of IP and clinical data → Downside Protection for Regulatory Risk (Earn-out, Milestone Payment structure)

5.3 Industrial & Manufacturing

Market Characteristics:Supply chain restructuring, automation and digitalization, nearshoring beneficiaries. Fragmented market with multiple players makes roll-up strategy effective.

Sourcing Strategy

  1. Fragmentation Analysis:CR4 (Top 4 Market Share) Under 40% Industries → Priority Target → Consolidation Play
  2. OEM/Tier-1 Supplier Mapping:Securing supplier lists for major OEMs in automotive, aerospace, defense, etc. → Direct Approach to Core Component Suppliers
  3. Family Business Succession Crisis:Average age of manufacturing founders is 68 [Korean standard], over 70% of companies lack successors → Succession Solution Proposed
  4. Industry 4.0 Readiness:Identifying companies in the early stages of IoT and AI adoption → Positioning as a "Digital Transformation Partnership"

[Add-on Strategy]
After acquiring a platform company, continuously identify bolt-on targets for geographic and product complementarity.
Example: Acquisition of precision machining platform → 5 add-ons in adjacent regions within 12 months → EBITDA Margin improvement from 18% to 23%

VI. Risk Management and Avoiding Practical Pitfalls

6.1) Key Risks of Proprietary Sourcing Based on Experience

Risk 1: Time Sink

  • Situation:No intention to sell even after 18 months of relationship building
  • Mitigation Plan:Soft probing for "sale consideration period" within initial 3-6 months. Switch to Monitoring List upon explicit rejection. Early cut for targets with low Engagement Score.

Risk 2: Information Leakage

  • Symptom:Target in contact provides information to competing PE → Induces auction
  • Mitigation Measures:Initial NDA execution, explicit designation of an Exclusive Discussion Period. Clarification of the position: "We wish to engage in exclusive discussions with your company."

Risk 3: Valuation Expectation Mismatch

  • Situation:Owner's expected value is 50%+ excessive relative to market valuation
  • Mitigation Strategy:Provide "valuation education" from the outset (share comparable transaction cases and multiple benchmarks). Bridge the gap through an earn-out structure.

Risk 4: Cultural Misfit Discovery

  • Symptom:Discovery of misalignment between management and organizational culture during the acquisition execution phase following a long-term relationship.
  • Mitigation Plan:Conduct Management Assessment concurrently from the initial meeting. Invite portfolio company visits → Provide tangible opportunities to experience "consortium formation and collaboration with PE."

6.2 Deal Sourcing ROI Measurement and Optimization

Core KPI

  • Conversion Rate:Outreach 100 → Meetings 10 → LOI 3 → Closing 1 (Industry Benchmark)
  • Time to Close:Initial Contact → Closing Average 18 months (Proprietary) vs. 6 months (Auction)
  • Cost per Deal:Sourcing Team labor costs, Data Tool expenses, external advisory fees → Average $250K–500K per deal (based on Megafund standards)
  • Price Advantage:Comparison of average EV/EBITDA in Proprietary deals vs. Auction deals → Confirmed savings of 10–15%

[Continuous Improvement]

  • Quarterly Sourcing Review: Analysis of Common Patterns in Successful Deals
    (e.g., "Conversion rate doubled for targets who attended industry events three or more times")
  • Failed Deal Post-Mortem: Analysis of Reasons for Deal Breakdown After LOI (Price, DD Issues, Competition, etc.) → Process Improvement
  • AI Model Re-Training: Re-training the Predictive Model with Actual Closed Deal Data → Continuous Accuracy Improvement

Final Recommendations: Five Key Action Items for Sourcing Excellence

1. Strengthening Sector Specialization

  • Focus on 3 to 5 core sectors, assigning a dedicated Origination Lead per sector
  • Industry-Specific Advisory Board Composition (Former CEOs, Academic Experts, Industry Associations, etc.)
  • Publish Industry White Papers 2-3 times per year → Establish Thought Leadership

2. KPI-ization of the Proprietary Deal Pipeline

  • Quarterly Goals: Outreach 120 cases, Meetings 20 cases, LOI 3 cases, Closing 1 case
  • Origination Team Performance Evaluation to Incorporate "Pipeline Quality Score" (Focus on Deal Quality, Not Merely Volume)

3. AI and Data Infrastructure Investment

  • Building an AI Platform Dedicated to Deal Sourcing (Annual Investment of $500K to $1M)
  • Hiring two or more data scientists or establishing partnerships with external tech vendors
  • AI Model Re-Training every 6 months → Continuous accuracy improvement

4. Building Long-Term Relationship Capital

  • Redefining the relationship with CEOs and owners from "transaction-centric" to "partnership-centric"
  • Allocate 20% of the Annual Origination Budget to Relationship Building (Industry Event Sponsorship, Executive Retreats, etc.)
  • Accepting an average 18-month nurturing cycle → Easing short-term deal pressure

5. Systematizing Cross-Functional Collaboration

  • Weekly Sync between Origination Team ↔ Deal Team ↔ Portfolio Team
  • Reflect portfolio companies' add-on needs in the sourcing pipeline
  • Proactively share information on portfolio companies scheduled for exit with other private equity firms → Secure reciprocal deal flow

Conclusion: Deal Sourcing is the beginning and the whole of M&A success.

In the M&A process, Deal Sourcing is often overlooked, yetit is a critical step that determines 70% of a deal's success or failure.
No matter how exceptional your due diligence (DD) capabilities and negotiation skills may be, paying excessive prices in a heated auction makes profitability unattainable.
Conversely, securing exclusive negotiation rights through proprietary deal flow enables optimization of non-price terms—such as a 15–25% price advantage, extended due diligence periods, and pre-agreed management retention—alongside price advantages.

The 2026 M&A marketis expected toshow recovery in both transaction value and deal volume, butcompetition for high-quality deals is projected to intensify.
The concentration of capital by megafunds, the aggressive entry of strategic buyers, and the proliferation of AI-based sourcing tools are reshaping the competitive landscape.

  1. Expand the proportion of proprietary deal flow to over 60% of the total
  2. Secure First Mover Advantage by early discovery of hidden targets through AI and big data
  3. Positioning as the "first partner that comes to mind" when owners decide to sell, by investing in long-term relationship capital.
  4. Build deep expertise and networks through sector specialization

The lessons learned through diverse cases (accumulating 4 trillion won in scale, approximately 42 M&A/investment deals) are clear:
"The best deal isn't found, it's made." Proprietary Sourcing goes beyond mere "deal hunting"; it is a process of accumulating strategic assets: building trust with target companies and owners, strengthening one's position within the industry ecosystem, and forming long-term value-creating partnerships.
Meanwhile, by 2026, only PE funds that have secured Deal Sourcing Excellence will be able to provide sustainable excess returns (Alpha) to LPs and remain winners in an increasingly competitive market.

Endnotes

  1. https://www.pwc.com/us/en/industries/financial-services/library/private-equity-deals-outlook.html
    https://www.bcg.com/publications/2026/m-and-a-outlook-expectations-are-high-again     ↩︎
  2. https://www.sourcecodeals.com/blog/proprietary-deal-flow ↩︎
  3. https://dealroom.net/blog/private-equity-statistics ↩︎
  4. https://arxiv.org/abs/2503.16506 ↩︎
  5. https://www.bdo.com/insights/industries/private-equity/2026-private-equity-predictions ↩︎
  6. https://www.bcg.com/publications/2026/m-and-a-outlook-expectations-are-high-again ↩︎
  7. https://dealroom.net/blog/private-equity-statistics ↩︎
  8. https://biz.heraldcorp.com/article/10647656 ↩︎
  9. https://www.pwc.com/us/en/industries/financial-services/library/private-equity-deals-outlook.html ↩︎
  10. https://www.shopify.com/blog/what-is-leveraged-buyout
    https://www.bdo.com/insights/industries/private-equity/2026-private-equity-predictions     ↩︎
  11. https://www.ey.com/en_us/insights/private-equity/leading-through-change-2026-private-equity-trends
    https://www.pwc.com/us/en/industries/financial-services/library/private-equity-deals-outlook.html     ↩︎
  12. https://dealroom.net/blog/private-equity-statistics ↩︎
  13. https://www.moonfare.com/blog/private-equity-outlook-2026 ↩︎
  14. https://www.bdo.com/insights/industries/private-equity/2026-private-equity-predictions ↩︎
  15. https://dealroom.net/blog/private-equity-statistics ↩︎
  16. https://www.sourcecodeals.com/blog/proprietary-deal-flow ↩︎
  17. https://arxiv.org/pdf/2309.16888 ↩︎
  18. https://dealroom.net/blog/private-equity-statistics
    https://www.bcg.com/publications/2026/m-and-a-outlook-expectations-are-high-again ↩︎
  19. https://www.morganstanley.com/im/en-lu/institutional-investor/insights/outlooks/private-equity-2026-outlook.html ↩︎

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