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ma-due-diligence

ACTIVATE when evaluating acquisition targets, conducting M&A due diligence, planning integration strategy, analyzing synergies, preparing sale materials, assessing culture fit, valuing targets, creating merger checklists, or managing M&A transactions. Critical for executives involved in buy-side or sell-side M&A, from initial target evaluation through post-acquisition integration.

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M&A Due Diligence & Integration Planning

Overview

M&A transactions are among the highest-stakes decisions an executive makes. This skill enables you to conduct rigorous due diligence on acquisition targets, evaluate strategic fit and synergies, plan comprehensive integration strategies, manage transaction risks, and execute successful post-merger integration. Use this skill whenever you're evaluating targets for acquisition, preparing your company for sale, negotiating M&A terms, or planning post-merger integration.

M&A Due Diligence Framework

Phase 1: Target Identification & Initial Evaluation

Target Screening Framework

Develop clear criteria for acquisition targets:

ACQUISITION CRITERIA CHECKLIST

STRATEGIC FIT
├─ Does it fill a capability gap we can't build in <2 years?
├─ Does it expand our total addressable market?
├─ Does it accelerate entry to new market segment?
├─ Does it strengthen competitive moat?
├─ Does it align with long-term strategy?

FINANCIAL PROFILE
├─ Revenue size: $[X]M - $[Y]M?
├─ Growth rate: [X%]+ YoY?
├─ Profitability: [X]% EBITDA margin or path to profitability?
├─ Price range: [X]-[Y]x revenue or [X]-[Y]x EBITDA?
├─ Required capital allocation: <[X]% of our cash?

CUSTOMER & MARKET
├─ Target customer overlap: [X]% (synergies potential)
├─ New customer segments: How many? How big?
├─ Market growth rate: [X]%+ annually?
├─ Competitive intensity: Low/medium/high?
├─ Customer concentration: Top 10 customers = ?% of revenue

TECHNOLOGY & IP
├─ Core technology differentiation: Yes/No?
├─ Patent portfolio: Valuable/Standard/Expired?
├─ Technical debt: Manageable/Significant/Blocker?
├─ Development capability: Strong/Medium/Weak?
├─ Architecture fit with our platform: High/Medium/Low?

PEOPLE & CULTURE
├─ Key person dependencies: <[X]?
├─ Engineering team quality: Hire/Integrate/Reduce?
├─ Sales team effectiveness: Keep/Integrate/Replace?
├─ Cultural compatibility: High/Medium/Low?
├─ Retention risk of key talent: <[X]%?

LEGAL & COMPLIANCE
├─ Litigation history: Clean/Minor/Significant?
├─ Regulatory compliance: Strong/Needs work/Red flags?
├─ IP rights: Clear/Potential disputes/Blocker issues?
├─ Material contracts: Any unfavorable terms?
├─ Data privacy (GDPR, etc.): Compliant/At risk?

Initial Scoring Model

Create a weighted scoring sheet:

ACQUISITION TARGET SCORECARD

Criteria                Weight  Score  Weighted
────────────────────────────────────────────
Strategic Fit            25%    8/10   2.0
Financial Profile        25%    7/10   1.75
Customer/Market         20%    9/10   1.8
Technology              15%    7/10   1.05
People/Culture          10%    6/10   0.6
Legal/Compliance         5%    8/10   0.4
────────────────────────────────────────────
TOTAL SCORE            100%           7.6/10

Interpretation:
9-10: Strong buy candidate (pursue diligence)
7-8: Good candidate (evaluate further)
5-7: Requires risk mitigation (negotiate terms)
<5: Pass (not strategic fit)

Phase 2: Financial Due Diligence

Financial Deep Dive

Analyze target's financial health and trajectory:

Revenue Analysis:

  • Last 5 years revenue and growth rate
  • Breakdown by customer segment (geographic, vertical, size)
  • Revenue concentration: Top 10 customers = ?% (red flag if >40%)
  • Recurring revenue vs. one-time vs. services
  • Pricing trends and elasticity
  • Contract terms (annual, multi-year, evergreen)

Profitability & Unit Economics:

  • Gross margin (ideal: >60% for SaaS)
  • Operating expenses breakdown (S&M, R&D, G&A)
  • EBITDA margin trajectory
  • Key drivers of profitability or losses
  • Unit economics: CAC, LTV, payback period
  • Churn rate and retention trends

Cash Flow Analysis:

  • Operating cash flow vs. net income (beating/lagging?)
  • Working capital requirements (AR, inventory, AP)
  • Capex requirements and capital intensity
  • Seasonal patterns or lumpy cash flow
  • Cash position and burn rate (if unprofitable)
  • Debt obligations and covenants

Forecast Review:

  • Examine historical forecast accuracy (do they beat/miss?)
  • Test assumptions in their revenue forecast
  • Benchmark assumptions vs. industry norms
  • Stress test scenario (recession, competition, churn)
  • Identify hidden revenue risks or synergy assumptions

Valuation Analysis:

Build a valuation model with multiple approaches:

VALUATION MODEL FRAMEWORK

1. COMPARABLE COMPANY ANALYSIS
   Identify 3-5 public comparable companies
   ├─ Revenue multiple: [X]x to [Y]x
   ├─ EBITDA multiple: [X]x to [Y]x
   ├─ Discount for private company: -[X]% liquidity discount
   └─ Implied valuation range: $[X]M - $[Y]M

2. PRECEDENT M&A TRANSACTION ANALYSIS
   Identify 5-10 similar M&A transactions
   ├─ Transaction multiples (by revenue, EBITDA, ARR)
   ├─ Year of transaction (adjust for time)
   ├─ Strategic vs. financial buyer
   └─ Implied valuation range: $[X]M - $[Y]M

3. DCF (DISCOUNTED CASH FLOW)
   Build 5-year financial projection
   ├─ Conservative case: $[X]M valuation
   ├─ Base case: $[Y]M valuation
   ├─ Upside case: $[Z]M valuation
   ├─ Discount rate: [X]% (WACC, risk-adjusted)
   └─ Terminal growth: [X]%

4. WALK-AWAY PRICE
   ├─ Our valuation: $[X]M
   ├─ Their likely ask: $[Y]M
   ├─ Max we'll pay: $[Z]M ([X]x revenue multiple)
   └─ Synergy cushion: [X]%

Key Financial Red Flags:

  • Revenue declining or growth decelerating
  • Gross margins compressing (suggests pricing pressure)
  • Churn accelerating (suggests customer satisfaction issue)
  • Forecast history of misses
  • Negative unit economics with no path to profitability
  • High cash burn with limited runway
  • Significant debt with tight covenants
  • Related-party transactions or unusual spending
  • Accounting issues or internal control weaknesses

Phase 3: Commercial Due Diligence

Customer Due Diligence

Understand the target's customer relationships:

Customer Concentration Analysis:

CUSTOMER CONCENTRATION RISK

Top 10 Customers = ?% of Revenue
├─ >60%: VERY HIGH RISK
│  └─ Any customer loss = major revenue impact
├─ 40-60%: HIGH RISK
│  └─ Churn assumptions critical
├─ 20-40%: MODERATE RISK
│  └─ Manageable with good retention
└─ <20%: LOW RISK
   └─ Diversified customer base

Customer Health Assessment:

  • Conduct reference calls with 10-15 customers
  • Ask about: satisfaction, pricing, competitive alternatives, churn risk
  • Assess customer stickiness (switching costs, integration depth)
  • Identify any at-risk customers (dissatisfaction, contract up for renewal)
  • Understand win-back opportunities from churned customers
  • Evaluate Net Revenue Retention (ideal: >100%)

Contract Analysis:

  • Review top 20 customer contracts for:
  • Termination clauses (can they leave early?)
  • Price lock periods (how long before we can raise prices?)
  • Exclusivity or non-compete clauses
  • Renewal likelihood and timing
  • Usage-based or consumption pricing risks
  • Identify any unusual or unfavorable contract terms

Sales Process & Funnel:

  • Analyze sales pipeline (deals in various stages)
  • Interview sales team about forecast accuracy
  • Understand sales cycle length (how long to close deals?)
  • Assess sales team quality and turnover
  • Review win/loss analysis (why do deals close or stall?)
  • Identify any sales practices that might change post-acquisition

Market Positioning:

  • How do customers perceive target vs. competitors?
  • What are key differentiators from customer perspective?
  • Are there switching costs or lock-in factors?
  • How much price power does target have?
  • Assess competitive threats and market share trends

Phase 4: Technical & Product Due Diligence

Technology Assessment

Evaluate the technical platform and innovation capability:

Product Architecture:

  • Scalability: Can it handle 2x, 5x, 10x growth?
  • Reliability: Uptime history (99.9%+?), disaster recovery capability?
  • Security: SOC 2, data encryption, vulnerability testing?
  • Integration: APIs, third-party ecosystem, integration difficulty?
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