Key takeaways
- The highest LOI price is the right choice in roughly half of competitive processes. In the other half, a lower-priced offer with better structure, higher certainty, or a more aligned buyer produces a better outcome.
- Deal certainty, the probability that an offer closes at or near the stated price, is the most underweighted factor in LOI comparisons. A $15M offer with 70% close probability is worth less than a $13M offer with 95% close probability.
- Rollover equity and earnout provisions can make headline prices meaningfully misleading. An offer with $14M cash and a $2M earnout is not equivalent to an offer with $16M cash.
- Exclusivity length directly affects optionality. A 90-day exclusivity period in a poorly structured offer locks the founder out of the market for three months. Exclusivity should be proportional to the complexity of the transaction.
- The best offer is the one that best matches the founder's specific priorities: maximum liquidity, post-close role, employee retention, brand preservation, or speed to close.
How to use this before a process
For adjacent context, compare this with How to build a management package buyers actually trust and How to Prepare for Management Presentations to Private Equity Buyers; the strongest operators connect these topics instead of treating them as separate workstreams.
Rule of thumb: if a buyer will ask for it in diligence, build it before the process. The same work costs less, creates more confidence, and carries more valuation benefit when it is completed before exclusivity.
Earnout Terms to Lock Before LOI
- Define the metric, measurement period, accounting rules, and dispute process in writing.
- Model the payout at base, downside, and buyer-controlled operating scenarios.
- Cap overhead allocations and integration charges that can move the metric after close.
- Require reporting access during the earnout period, not just after a missed payout.
- Know what happens if the buyer sells, merges, or reorganizes the acquired business.
Readiness Snapshot
What buyers will ask
What exactly triggers payment, and who controls the metric?; Which post-close decisions can change the result without violating the agreement?; How will disputes be resolved if the buyer and seller calculate the metric differently?
What to prepare
Earnout model with base, upside, and downside scenarios.; Draft metric definitions and accounting policy assumptions.; Post-close reporting rights and dispute process summary.
Diligence Matrix
2–4
Typical number of LOIs a well-run competitive process generates
30–40%
Of founders who receive multiple LOIs choose the highest price offer
15–25%
Difference in close rate between well-structured and poorly structured LOIs
60–90 days
Typical exclusivity period attached to an LOI
A competitive sale process, when run well, creates a moment where the founder must choose between two or three serious offers. That decision, which happens under time pressure and emotional weight, is one of the most consequential financial decisions the founder will make.
The instinct is to choose the highest number. That instinct is correct often enough that it persists as a default, but it fails in a significant minority of cases because the highest number is not always the best offer. Structure, certainty, and fit matter alongside price, and sometimes they matter more.
The five dimensions of an LOI comparison
The five dimensions to evaluate in every LOI
1. Net proceeds at close
Not headline price, but the cash the founder actually receives at closing after debt payoff, transaction fees, tax, and any required reinvestment. A $16M offer with $3M of required rollover equity delivers $13M of cash at close, the same as a $13M all-cash offer at the same debt and fee load.
2. Deal certainty
The probability the offer closes at or near the stated price. Factors: is the buyer PE or strategic? Do they have committed financing or is a financing contingency present? Does the buyer have a track record of closing at the LOI price? What is the due diligence scope, and how likely are material downward adjustments?
3. Contingent consideration quality
If the offer includes an earnout, how achievable is it under the buyer's likely operating plan? If it includes a rollover, what is the realistic exit valuation for that equity? Strip earnout and rollover to worst-case values when comparing to all-cash offers.
4. Post-close terms
Non-compete length and scope, employment or consulting agreement terms, indemnification cap and basket, and escrow amount and duration. These terms affect what the founder can do after closing and how much of their proceeds are at risk.
5. Buyer quality and fit
The buyer's operating approach, cultural alignment, employee retention plans, and investment thesis fit. These determine the post-close experience for the founder, the employees, and the customers.
Building a side-by-side comparison
A structured comparison normalizes all five dimensions across each offer so the founder can see a true apples-to-apples picture. The goal is not to produce a single score but to make explicit what each offer actually delivers versus what it appears to deliver.
Metric
Buyer A|Buyer B|Buyer C
Headline price
$15.5M|$14.2M|$13.8M
Required rollover
$2.0M|$0|$0
Earnout potential
$1.5M (conditional)|$0|$1.0M (conditional)
Net cash at close (estimated)
$11.8M|$12.1M|$11.9M
Financing contingency
Yes|No|No
Estimated close probability
70%|92%|90%
Non-compete scope
Broad, 4 years|Standard, 3 years|Standard, 3 years
Indemnification cap
20% of price|15% of price|12% of price
Escrow amount and duration
$2.0M, 24 months|$1.2M, 18 months|$1.0M, 18 months
Post-close employment
Required 18 months|Optional 12 months|Optional 6 months
Buyer type
PE fund (fund life: 3 years)|Strategic acquirer|PE fund (fund life: 6 years)
The highest headline price (Buyer A at $15.5M) delivers the lowest estimated net cash at close ($11.8M) after accounting for the rollover requirement. The lowest headline price (Buyer C at $13.8M) delivers comparable net cash with fewer post-close obligations. This is why headline price comparisons mislead.
AI diligence angle
Run a short scan to identify reporting, data room, and workflow gaps that could affect diligence confidence.
Run an AI readiness scan →How to weight the dimensions
Different founders have different priorities, and the weighting of each dimension should reflect the founder's specific situation. A founder who needs maximum immediate liquidity should weight net cash at close heavily. A founder who cares deeply about employee outcomes should weight buyer quality and post-close plans heavily.
Weighting by founder situation
Situation: Maximum immediate liquidity needed (personal financial needs, co-owner alignment)
Weight heavily: Net cash at close, deal certainty; minimize rollover and earnout in the preferred offer
Situation: Founder staying post-close, wants ongoing role
Weight heavily: Post-close employment terms, buyer operating style, management autonomy
Situation: Employees and culture matter
Weight heavily: Buyer quality and stated integration plan, track record with prior acquisitions, brand preservation
Situation: Speed is a priority (personal or competitive reason)
Weight heavily: Deal certainty, financing certainty, due diligence scope; avoid complex structures
Situation: Maximizing total value over time (willing to take rollover risk)
Weight: Rollover potential, PE fund quality, value creation track record, fund life remaining
The worst outcome in an LOI comparison is choosing based on headline price when the founder's actual priorities are in a different dimension. An honest conversation between the founder and their banker about what really matters, before the offers arrive, produces a better decision than a reactive comparison after offers are on the table.
Negotiating after the comparison
A structured comparison also creates leverage for negotiation. If the preferred offer is Buyer B but Buyer A has a higher price, sharing (tactfully, through the banker) that the offer is competitive on structure but trailing on price can produce a price improvement from Buyer B without requiring the founder to accept Buyer A's terms.
The banker's role in this phase is to create competitive tension without misrepresentation. A banker who falsely implies a competing offer exists when it does not is creating legal and relationship risk. A banker who accurately conveys that the process is competitive and that terms matter alongside price is doing their job.
Best-and-final processes, where all bidders are invited to submit their highest and best offer by a specified date, are effective when prices are close and the founder has a clear preference for one buyer. They are less effective when the gap is structural rather than price-based, because they invite buyers to improve price without improving the terms that actually matter.
A $58M founder-owned commercial services company addressed this issue six months before launching a sale process.
The first review surfaced incomplete documentation and unclear ownership, but the team assigned a functional leader, rebuilt the support file, and created a short diligence memo. When buyers raised the topic later, management answered with evidence instead of explanation.
The result was fewer follow-up requests and no late-stage retrade tied to the issue.
Frequently asked questions
What should a founder do first?
Identify the specific buyer concern this topic creates and assemble the documents that prove the answer. The goal is to make the diligence response evidence-based before a buyer asks the question.
Why does this matter in a sale process?
Because buyers convert uncertainty into price, structure, or diligence friction. A documented answer reduces the perceived risk and keeps the discussion focused on value rather than cleanup.
What is the most common mistake?
Waiting until after LOI exclusivity to fix the issue. At that point the buyer has leverage, the timeline is compressed, and every gap is interpreted through a risk-adjustment lens.
Work with Glacier Lake Partners
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Run an AI readiness scan →Research sources
Disclaimer: Financial figures and case-study details in this article are anonymized, composite, or representative examples based on middle market operating situations, and are not guarantees of outcome. Statistical references are drawn from cited third-party research; individual transaction and operational results vary based on business characteristics, market conditions, and deal structure. This content is for informational purposes only and does not constitute legal, financial, or investment advice. Consult qualified advisors for guidance specific to your situation.
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