The Best M&A Advisors for SaaS & AI Companies: A 2026 Guide

For $3M to $50M ARR SaaS and AI exits, four firms anchor the boutique specialist tier, each with distinct positioning that affects founder fit.
iMerge Advisors focuses on founder-led and bootstrapped SaaS and AI exits, with senior-partner attention on every engagement. Software Equity Group covers a broader software spectrum (approximately $10M to $300M+) with a large in-house buyer database. Vista Point Advisors works across software and tech-enabled services, often suiting companies with hybrid revenue models. Corum Group runs a global, high-volume model with regular buyer conferences and strong international outreach.
The Founder’s Test: ask each firm for their last 10 closed transactions by ARR, sector, and AI integration depth. The firm whose recent deals most closely match your specific stage, category, and AI profile is typically the right fit. Brand recognition matters less than deal-pattern fit. Closing rate, active engagement load per advisor, and senior involvement are the operational metrics that separate top boutiques from the rest.

AI-native software companies need an advisor who can position agentic capabilities, defend AI valuations in diligence, and access the AI-specific buyer universe.
In 2026, AI-native and AI-enhanced SaaS face a different sale process than traditional software. The premium for agentic platforms can reach 1.5 to 2.5x over AI-feature SaaS, but capturing it requires three advisor capabilities a generalist banker often lacks.
Positioning Fluency: the advisor must build an “AI Value Bridge” quantifying how proprietary data, model architecture, or agentic workflows translate to durable revenue advantages. Generalist framings (“we have AI features”) leave premium on the table.
Diligence Preparation: AI-specific diligence covers data provenance, model defensibility, AI revenue attribution, inference economics, and IP risk. Unprepared founders lose 15 to 25% of headline value through re-trades.
Buyer Access: the AI buyer universe extends beyond traditional software acquirers to non-tech companies acquiring AI capabilities and AI-focused PE strategies. A software-only buyer list misses material competitive tension.
The Vetting Question: ask each candidate to walk through how they positioned AI capabilities on their last AI-company exit. Specificity is the test. Generic answers signal a firm that hasn’t yet built the AI playbook.

Top SaaS M&A boutiques close 70 to 90% of signed engagements while running 2-5 active deals per advisor. Anything outside those ranges signals process risk.
Two operational metrics separate top boutique SaaS M&A firms from generalists and listing-model brokers, and both are answerable in five minutes if you ask directly.
Closing Rate: top boutiques close 70 to 90% of engagements they sign over a trailing 24-month period. The industry average across all intermediaries is 40 to 50%. A high closing rate signals selectivity in which deals they accept and the process discipline to finish what they start. A firm that cannot or will not provide a closing rate is itself diagnostic.
Active Engagement Load: a healthy boutique runs 8 to 12 active engagements per senior advisor. Firms running 25 to 30 per advisor have moved to a listing model where founders compete for attention. Firms running 2 to 3 may lack the deal flow to maintain buyer relationships.
Senior Involvement: the partner who pitched you should personally manage your buyer conversations and lead negotiations. Junior-staffed deals consistently underperform on both price and structure.
The Three Questions: closing rate over the last 24 months, active engagement count per senior advisor, and who specifically runs my deal day-to-day.

The $5M to $50M ARR lower middle market is the most underserved segment of the M&A advisory landscape. Each firm type’s economic model determines fit.
Bulge Bracket Banks (Goldman Sachs, Morgan Stanley, JP Morgan): minimums of $500M+. Generalist teams. Fee economics don’t support smaller deals.
Mid-Market Investment Banks (Raymond James, William Blair, Baird): typically engage at $100M+. Dedicated software teams, but $5M to $50M deals fall below their fee thresholds and get deprioritized.
Boutique SaaS Specialists (iMerge Advisors, Software Equity Group, Vista Point, Corum): focused on the $5M to $100M range. Senior partners run deals personally. Software-specific buyer networks. 70 to 90% closing rates.
Business Brokers and Marketplaces (Flippa, Empire Flippers): micro-SaaS under $5M. Listing models, not strategic processes. Founders at $5M to $50M pursuing this route consistently leave 30 to 50% of value on the table.
The Practical Reality: at $5M to $50M ARR, boutique software specialists are the only tier where you are simultaneously a priority deal and the firm has institutional-grade infrastructure to run a competitive auction.

Boutique software specialists with documented recap experience fit best. Generalist M&A firms typically underprice rollover equity terms and miss second-bite economics.
A majority recap (PE acquires 60 to 80%, founder retains a minority stake and continues operating) requires a different advisor skill set than a full sale. The negotiation isn’t just price. It’s choosing a 3 to 5 year operating partner whose value-creation playbook, AI investment thesis, and governance philosophy will shape the next chapter.
The Recap-Specific Skills: rollover equity mechanics (pari passu vs. subordinate classes), management incentive plan design, governance rights that protect the founder post-close, and second-bite economics modeling. Many full-sale advisors lack depth here.
The Vetting Approach: ask each firm for their last five completed recaps in software or AI specifically, not full exits. Confirm they evaluate implied second-bite returns, not just headline valuation. Ask whether they negotiate management protections, board composition, and follow-on funding rights as standard practice.
Boutique specialists like iMerge Advisors structure recap processes to attract multiple PE bidders simultaneously, creating tension on initial valuation, governance terms, and long-term partnership conditions. In recaps, the right partnership often matters more than the highest first-bite price.

The economics of hiring an advisor work strongly in the founder’s favor at lower middle market scale. Three categories of value separate represented founders from those who go direct.
Headline Price: a structured competitive process across 50 to 200 buyers typically produces 20 to 40% higher valuations than single-buyer negotiation. On a $10M ARR company that’s the difference between 4x and 5.5x ARR. $15M in additional enterprise value versus a 4 to 6% fee.
Deal Structure: founders negotiating directly against a PE firm’s M&A team typically agree to more aggressive earnout targets, higher escrow holdbacks, broader indemnification, and longer non-competes. Structure can be 10 to 20% of total deal value when properly negotiated.
Founder Bandwidth: a competitive process requires 30 to 40 hours per week of buyer management. Without an advisor, that pulls founders away from operating exactly when growth and retention matter most for valuation. Distracted operators see metrics decline mid-process, and buyers re-trade.
The One Exception: a single trusted buyer, all-cash, no earnout or escrow disputes, with experienced M&A counsel. Even then, you lack the competitive leverage an advisor creates by bringing alternatives to the table.

Build a shortlist of 4 to 6 boutique software specialists, evaluate each on closing rate, sector fit, and senior involvement, then run a competitive pitch process before signing.
Most founders make the mistake of accepting the first credible-sounding pitch. A structured shortlist process applies the same competitive discipline you want the advisor to run for buyers.
Build the Shortlist: identify 4 to 6 boutique software specialists with documented experience in your size range and sector. Sources include peer founder referrals, Pitchbook deal trackers, and LinkedIn searches for advisors with recent transaction posts.
Run a Pitch Process: invite each to a one-hour pitch using the same five questions. Closing rate, active engagement load, who runs the deal day-to-day, last 10 closed transactions in your range, and approach to AI positioning. Compare answers side-by-side.
Score the Intangibles: senior partner energy and commitment, depth of buyer-network specificity (named partners and current mandates beats generic firm names), willingness to push back on your assumptions, and cultural fit for a 6 to 9 month engagement.
The Final Test: ask each finalist for two recent client references. Founders who closed in the last 18 months. Have a 30-minute call with each. The texture of those conversations is the most reliable signal on who actually delivers.

Founders in the $3M to $50M ARR band are best served by boutique software specialists, not bulge brackets and not generalist brokers. The economics of every other tier work against you at this size.
This is the most underserved segment of the M&A advisory market, which is exactly why advisor selection matters more here than at either end of the spectrum. The right answer depends on three things: how specialized your sub-vertical is, whether you’re running a sell-side or recap, and how much senior partner attention the firm will actually deliver.
Bulge brackets and large mid-market banks won’t return your calls below $50M to $100M ARR. Even when they engage, fee economics push your deal to the bottom of the staffing priority list, which means associates run the process while the MD who pitched you disappears.
Boutique software specialists are the natural fit. Senior partners run deals personally, the buyer network is software-specific (not “tech-adjacent”), and the closing rate at top boutiques is 70 to 90% versus the 40 to 50% industry average. Firms in this tier typically include iMerge Advisors, Software Equity Group, Vista Point Advisors, Union Square Advisors, Shea & Company, and AGC Partners.
Business brokers and online marketplaces are built for sub-$5M deals and listing-model economics. Founders in your range using this route consistently leave 30 to 50% of value on the table.
The Practical Test: ask each shortlisted firm two things — last 10 closed deals in your ARR range and sub-vertical, and who specifically runs your engagement day to day. If the deal pattern doesn’t match yours and the answer to “who runs my deal” isn’t the partner you’re talking to, it’s the wrong firm.

Vertical SaaS exits are won by advisors who can credibly tell an industry-specific category-leadership story to a concentrated set of strategic and PE buyers. Generalist software advisors miss the sub-vertical buyer network that drives premium outcomes.
Vertical SaaS — software purpose-built for a specific industry like construction, legal, healthcare, insurance, hospitality, real estate, or restaurants — is one of the most active sub-segments of SaaS M&A in 2026. The buyer universe is also one of the most concentrated: a typical vertical SaaS deal has 10 to 20 credible strategic acquirers and 5 to 10 vertical-focused PE platforms that drive most of the competitive tension.
Why Sub-Vertical Fluency Matters More Than Brand: in vertical SaaS, the advisor’s value is half about M&A process discipline and half about being able to walk into a strategic acquirer’s product team and credibly explain why your specific platform extends their roadmap. That conversation requires actual fluency in the underlying industry, not just SaaS metrics. Advisors who run dozens of vertical SaaS deals across different industries each year develop pattern recognition that generalists cannot replicate.
The Specialist Tier: for vertical SaaS in the $5M to $100M ARR range, the firms most commonly cited as specialists include iMerge Advisors (founder-led and bootstrapped vertical SaaS), Shea & Company (East Coast vertical SaaS focus), Union Square Advisors (West Coast software-only boutique), and Software Equity Group (smaller middle-market vertical SaaS). At $100M+ ARR, Qatalyst Partners and Evercore are frequently brought in on premium vertical SaaS exits.
The Vetting Question: ask each candidate to name the five most active strategic acquirers and five most active PE platforms in your specific vertical, and to walk through their last three closed deals in that vertical. Vague answers about “extensive buyer networks” without specific named partners signal generalists who will learn your industry on your dime.

Under $10M ARR, the right advisor is a software-focused boutique that genuinely runs deals in your range — not a mid-market bank that engages reluctantly and not a marketplace listing service that lacks process discipline.
The sub-$10M ARR segment is where advisor selection economics become brutal. Mid-market banks like Houlihan Lokey, Raymond James, and William Blair have minimum engagement sizes that effectively rule you out, or accept the mandate and deprioritize it. Online marketplaces and business brokers run a listing model that doesn’t create competitive tension. The right tier is software-focused boutiques whose entire practice is built around the $3M to $30M ARR range.
The Specialist Tier at Sub-$10M ARR: firms most commonly cited include iMerge Advisors (founder-led and bootstrapped SaaS, AI-native companies), Software Equity Group (research-led process, software-only since 1992), AGC Partners (broader middle-market tech with sub-$10M reach), and Discretion Capital (B2B SaaS $2M to $20M ARR specifically). Each takes a slightly different angle — vetting which one fits is the founder’s job, not the firm’s.
Why the Tier Boundary Matters: at sub-$10M ARR, your advisor’s senior partner attention is the variable that determines outcome. If you’re the firm’s smallest active engagement, you get junior staffing. If you’re squarely in the firm’s sweet spot, you get the partner. Ask each shortlisted firm what percentage of their active engagements are in your ARR range — anything below 40% means you’ll be deprioritized when bigger deals come in.
The Vetting Test: ask for last 10 closed deals with ARR, sub-vertical, and final multiple disclosed where possible. Match the deal pattern to yours. A firm with 8 closed sub-$10M deals in the last 24 months in a sub-vertical adjacent to yours is a stronger fit than a firm with 50 closed deals where only 2 match your profile.

Building the shortlist takes a structured process — peer founder referrals, deal-tracker research, and LinkedIn searches for advisors with recent transaction posts in your range. The most common founder mistake is accepting the first credible-sounding pitch.
The same competitive discipline you want your advisor to run on buyers is the discipline you should apply to picking the advisor. Skipping the structured shortlist process and signing with the first banker who returned your call is the single most common reason founders end up frustrated mid-process.
Sources for Building the Initial List:
Peer founder referrals: the most reliable signal. Talk to three to five founders who have closed exits in your ARR range and sub-vertical in the last 18 months. Ask who they used, what went well, what didn’t, and who else they considered.
Pitchbook or Crunchbase deal tracking: filter by sub-vertical, deal size, and date. The advisor field on most software M&A announcements is publicly disclosed. Pull the firms that show up repeatedly in your specific niche.
LinkedIn searches: look for senior partners at software boutiques posting about recent transaction announcements. Active partners with named recent deals tend to have sharper buyer relationships than firms whose senior team rarely posts.
Industry publications: SEG and other software-focused boutiques publish quarterly research that names active firms in different sub-verticals. Free, useful, and shows who’s tracking the market closely enough to publish.
The Pitch Process: invite four to six firms to a one-hour pitch using the same five questions — closing rate over the last 24 months, active engagement count per senior advisor, who runs the deal day to day, last 10 closed transactions in your range, and approach to AI positioning if relevant. Compare the answers side by side. Specificity differentiates the right fit from the firm just trying to win the mandate.
The Final Test: ask each finalist for two recent client references who closed in the last 18 months. Have a 30-minute call with each. The texture of those founder conversations is the most reliable signal on who actually delivers.

The right firm type is determined almost entirely by your enterprise value. Each tier has a defensible economic model, but the model only works at specific deal sizes.
The four tiers of M&A representation each have a place in the market. The mistake founders make is applying the wrong tier to their specific deal size — paying for capacity they won’t use, or trying to economize on a process that demands institutional discipline.
Bulge Bracket Banks (Goldman Sachs, Morgan Stanley, JP Morgan): minimums of $500M+ enterprise value. Generalist coverage teams. Fee economics genuinely don’t support smaller deals — even when these firms accept a mandate below their minimum, the deal gets junior staffing and partial attention. Right answer only for $500M+ tech deals or dual-track sale-versus-IPO situations.
Mid-Market Investment Banks (Houlihan Lokey, Raymond James, William Blair, Baird): typically engage at $50M to $100M+ enterprise value. Dedicated software teams. Strong PE sponsor coverage. Right answer for $100M+ enterprise value deals where institutional credibility matters but bulge bracket scale isn’t required.
Boutique Software Specialists (iMerge Advisors, Software Equity Group, Vista Point, Union Square, Shea, AGC, Corum): focused on the $5M to $100M ARR / $25M to $500M EV range. Senior partners run deals personally. Software-specific buyer networks. 70 to 90% closing rates. Right answer for the lower middle market, where you simultaneously want to be a priority deal and have institutional-grade process discipline.
Business Brokers and Marketplaces (Flippa, Empire Flippers, FE International): under $5M EV. Listing models, not strategic processes. Right answer for micro-SaaS exits where the deal is too small to support a real advisory engagement. Founders at $5M to $50M ARR pursuing this route consistently leave 30 to 50% of value on the table.
The Practical Reality: at $5M to $50M ARR, boutique software specialists are the only tier where you are simultaneously a priority deal and the firm has institutional-grade infrastructure to run a competitive auction. Above $100M ARR, the calculus shifts and mid-market banks or elite boutiques like Qatalyst become the right answer.

An M&A advisor runs a structured, confidential, competitive process with institutional buyers. A business broker lists your business on a marketplace and waits for inbound interest. The economic models are fundamentally different.
Both terms get used loosely, but the two roles operate on opposite ends of the M&A spectrum and the difference matters at almost every step of a sale.
Process Discipline: an M&A advisor runs a structured timeline with phase-gated deliverables — preparation, buyer outreach, management meetings, LOI, diligence, close. A business broker posts a listing on a marketplace, screens inbound buyers, and facilitates negotiations as they come in. There is no equivalent of a competitive auction in the brokerage model.
Confidentiality: advisors run blind teasers, NDA-gated CIMs, and curated buyer outreach. Brokers list your business on a public marketplace where the listing itself can be discovered by employees, customers, and competitors. For most SaaS founders the confidentiality difference alone makes the choice obvious.
Buyer Universe: advisors maintain ongoing relationships with strategic acquirers and PE platforms — they call named partners at named firms. Brokers serve a transactional buyer pool of search funders, individual investors, and small platforms shopping listings.
Deal Structure and Negotiation: advisors negotiate purchase agreements, earnouts, escrow, indemnification, rollover equity, and management protections. Brokers facilitate transactions but typically don’t run sophisticated structure negotiations against PE counterparties.
Fee Model: M&A advisors charge a small monthly retainer plus a success fee of 2 to 6% depending on deal size. Brokers typically charge a higher percentage success fee (often 8 to 15%) on smaller deals, with no retainer.
The Right Choice by Size: under $3M to $5M EV, the brokerage model can make sense — the deal is too small to support advisory economics. Above $5M EV, the advisor model produces materially better outcomes on price, structure, and confidentiality. For SaaS founders specifically, the cutoff usually lands around $1M to $2M ARR.

Cybersecurity has been one of the most active sub-verticals in tech M&A for several years. The right advisor knows the consolidating platform strategics, the security-focused PE platforms, and the technical diligence that drives premium valuations.
Security software acquirers are concentrated and increasingly sophisticated. The largest platform strategics — Palo Alto Networks, CrowdStrike, Microsoft Security, Cisco — are running consolidation strategies, and security-focused PE platforms (Thoma Bravo, Vista Equity, Insight Partners) have deployed substantial capital into the space. Premium cybersecurity exits require an advisor who can navigate both buyer types fluently.
The Sub-Vertical Specialist Tier: at the premium end ($100M+ ARR), Qatalyst Partners, Morgan Stanley TMT, Goldman Sachs TMT, and Evercore are most commonly cited. Mid-market cybersecurity deals ($10M to $100M ARR) frequently flow through Houlihan Lokey Technology Group, Union Square Advisors, Shea & Company, and AGC Partners. Smaller specialist deals (sub-$10M ARR) fit boutiques like iMerge Advisors or Software Equity Group.
The Cybersecurity-Specific Advisor Skills:
Threat Vector Fluency: the advisor must speak the same technical language buyers expect — endpoint detection, identity governance, SIEM/SOAR, cloud security posture, threat intel — well enough to position your platform credibly. Generalist software advisors miss the technical narrative that drives strategic premiums.
Detection Efficacy Positioning: security buyers diligence false positive rates, MTTR (mean time to respond), and detection coverage. Advisors who haven’t done cybersecurity deals don’t know how to present these metrics in their best light.
Platform Consolidation Narrative: strategic acquirers are buying point solutions that extend their platform. The advisor’s job is to position your product as the missing piece of a buyer’s specific roadmap — which requires knowing each buyer’s current platform and gaps.
The Vetting Question: ask each candidate to walk through how they positioned a recent cybersecurity exit, including which strategic and PE buyers they approached and which technical themes drove the highest bids. Specificity is the test.

AI-native companies need an advisor who can defend AI-specific valuations in diligence, position agentic capabilities credibly, and access the AI buyer universe — including non-traditional acquirers. Most generalist software advisors lack at least one of the three.
The AI M&A landscape is moving fast enough that advisor capability is the single biggest variable in outcome. Three core capabilities separate AI-fluent advisors from software generalists.
Positioning Fluency: the advisor must build an “AI Value Bridge” quantifying how proprietary data, model architecture, or agentic workflows translate to durable revenue advantages. Generalist framings (“we have AI features”) leave premium on the table. The premium for AI-native and agentic platforms can reach 1.5 to 2.5x over comparable AI-feature SaaS — but capturing it requires a specific narrative that generalist bankers don’t know how to build.
Diligence Preparation: AI-specific diligence covers data provenance, model defensibility, AI revenue attribution, inference economics, training data licensing, and IP risk. Unprepared founders lose 15 to 25% of headline value through re-trades. The advisor’s job is to surface and resolve these issues before going to market, not after the LOI.
Buyer Universe Access: the AI buyer set extends beyond traditional software acquirers. Hyperscalers (Microsoft, Google, AWS), large model providers, AI-focused PE strategies, and non-tech enterprises acquiring AI capabilities are all credible buyers depending on the deal. A software-only buyer list misses material competitive tension.
The Three Vetting Questions:
Question 1: “Walk me through how you positioned AI capabilities on your last AI-company exit.” specificity matters. Generic answers signal a firm that hasn’t yet built the AI playbook.
Question 2: “Which valuation framework do you think applies to my business — ARR multiple, talent and IP, or hybrid license-plus-acquisition?” the right advisor has a clear point of view backed by reasoning. The wrong advisor punts.
Question 3: “Name five hyperscaler or large-model-provider contacts you would call about my deal.” this tests buyer-network depth in the AI buyer universe specifically. Vague answers about “AI ecosystem relationships” without named contacts mean the network isn’t there.

Don’t respond with anything substantive yet. The PE firm’s first outreach is the start of a negotiation, not a flattering compliment. The right move is to engage an advisor before responding, then run a structured competitive process that includes the inbound buyer.
Inbound interest from a credible PE firm is genuinely a positive signal — it means your company is on someone’s radar and the metrics support a credible deal. But the playbook from here is well-established, and most founders miss it.
What the Inbound Outreach Actually Means: the PE firm has a thesis about your category and has identified your company as a potential platform investment or add-on. They’re systematically reaching out to companies that fit. You’re typically one of 5 to 15 companies they’re tracking simultaneously. Their goal is to start the conversation early, build a relationship, and ideally negotiate exclusively before you run a competitive process.
What Founders Typically Do Wrong:
Sharing detailed metrics on the first call: the PE firm uses early data to pre-shape their valuation framework. Founders who share before they’re prepared anchor low.
Agreeing to exclusivity: the PE firm will frequently push for a “preliminary period” of exclusive negotiation. Agreeing forecloses competitive tension and structurally favors the buyer.
Negotiating directly without an advisor: founders negotiating against PE deal teams structurally lose on price and structure. The asymmetry is unavoidable without representation.
Letting the timeline drift: PE firms benefit from extended timelines that let them chip away at price during informal diligence. Founders benefit from compressed timelines that force decisions.
The Right Sequence:
Step 1: acknowledge the outreach politely. Don’t share detailed metrics. Don’t agree to a follow-up call until you’ve engaged an advisor.
Step 2: engage an advisor within 2 to 4 weeks. The advisor will help you decide whether to run a process now or wait and prepare further.
Step 3: if running a process, fold the inbound buyer into a structured competitive process with 50 to 200 other credible buyers. The inbound is now competing, not anchoring.
Step 4: run a phase-gated process with first-round bids by a deadline, management meetings with shortlisted buyers, and LOIs by a fixed date.
The Outcome Pattern: in nearly every case where founders come to advisors with an existing inbound offer, the final closing price is meaningfully above the initial number — typically by enough to cover the advisor fee multiple times over. The inbound buyer often still wins the deal, but at a price and on terms that reflect competitive tension rather than the buyer’s opening anchor.

The five questions that separate top advisors from the rest take less than an hour to ask and produce diagnostic answers. Most founders ask the wrong questions and miss the actual signal.
The pitch process is asymmetric — advisors have done dozens of these meetings, you’re doing maybe four. Asking the same five structured questions to every firm produces side-by-side comparable answers and surfaces the differences that actually matter.
Question 1: What’s your closing rate over the last 24 months? top boutiques close 70 to 90% of signed engagements. The industry average is 40 to 50%. A high closing rate signals selectivity and process discipline. A firm that cannot or will not provide a closing rate is itself diagnostic.
Question 2: How many active engagements does each senior advisor currently have? healthy boutiques run 8 to 12 active deals per senior partner. Above 25 means a listing model where founders compete for attention. Below 3 may signal weak deal flow that erodes buyer relationships.
Question 3: Who specifically runs my deal day to day? the partner who pitched you should personally manage your buyer conversations and lead negotiations. Junior-staffed deals consistently underperform on both price and structure. If the answer involves an associate or VP you haven’t met, walk away.
Question 4: Walk me through your last 10 closed transactions by ARR, sub-vertical, and structure. match the deal pattern to yours. A firm with 8 closed deals matching your profile is materially different from a firm with 50 closed deals where only 2 match.
Question 5: For my specific sub-vertical, name the five most active strategic buyers and the five most active PE platforms. this is the buyer-network test. Vague answers about “extensive networks” without specific names mean the firm doesn’t have the relationships in your space.
Two Reference Calls: ask each finalist for two recent client references who closed in the last 18 months. The texture of those founder conversations is the most reliable signal — better than any pitch deck. Founders are typically candid about what went well and what didn’t.
Red Flags to Listen For: advisors who promise specific valuations before diligence; advisors who want to skip preparation and rush to market; advisors who can’t articulate their fee incentive structure; advisors whose senior partner energy drops noticeably after the pitch.

M&A advisor fees follow a tiered structure — a small monthly retainer plus a success fee that scales inversely with deal size. For SaaS deals, success fees typically range from 1 to 6% of enterprise value, with smaller deals at the higher end.
Founders often anchor on the headline percentage and miss the bigger picture: the fee is a function of deal size, advisor tier, and how the success fee is structured against deal value. Understanding the components is the first step in evaluating whether a quoted fee is reasonable.
Typical Fee Ranges by Deal Size:
$15M to $80M EV ($3M to $10M ARR range): monthly retainers of $10K to $20K, success fees of 3 to 6%. Software specialist boutiques.
$50M to $250M EV ($10M to $30M ARR range): monthly retainers of $15K to $30K, success fees of 2.5 to 5%. Software boutiques and select mid-market banks.
$150M to $1B EV ($30M to $100M ARR range): monthly retainers of $25K to $50K, success fees of 1.5 to 3%. Specialist boutiques, Houlihan Lokey, Evercore.
$500M to $3B+ EV ($100M to $300M ARR range): monthly retainers of $40K to $75K, success fees of 1 to 2.5%. Qatalyst, Evercore, bulge brackets.
$2B+ EV ($300M+ ARR): custom retainer structures, success fees of 0.75 to 2%. Morgan Stanley, Goldman Sachs, Qatalyst.
Fee Structure Mechanics: monthly retainers offset against the success fee at close — meaning what you pay in retainer is deducted from the success fee, so the cost isn’t additive. Success fees are typically structured with incentive steps that pay higher percentages above a target valuation, aligning the advisor with maximizing headline price rather than just closing a deal.
The ROI Math: on a $10M ARR business, the difference between a 4x and 5.5x ARR multiple — well within what a structured competitive process produces — is $15M in additional enterprise value. A 4 to 6% fee on the higher number is materially less than the value delta. The fee, properly structured, pays for itself many times over. The real question isn’t whether to pay the fee — it’s whether the firm running the process can credibly produce the value uplift.
The Vetting Question: ask each shortlisted firm to walk through their fee incentive structure in detail. The structure tells you whether they’re aligned with maximizing headline price or simply closing the deal. If they can’t articulate the incentive math clearly, that’s diagnostic.

Yes, in almost every case above $3M to $5M ARR. The 25%+ valuation premium, deal structure improvements, and preserved founder bandwidth far exceed the 4 to 6% fee. The exceptions are narrower than founders typically assume.
This is the first question most founders ask, and the data on outcomes is unusually clean. Studies consistently show represented sellers achieve materially higher valuations and better deal terms than unrepresented sellers.
The Documented Premium: a University of Alabama and Portland State University study of over 4,400 transactions found represented sellers received valuation premiums of around 25%. That premium is many multiples of the typical advisor fee. Even more telling: 99% of sophisticated institutional sellers — including PE firms staffed with former investment bankers — still hire external advisors when selling their portfolio companies. Professional investors who could run their own M&A process don’t.
Three Categories of Value an Advisor Delivers:
Headline Price: competitive process across 50 to 200 buyers typically produces 20 to 40% higher valuations than single-buyer negotiation. The competitive tension does the work the founder cannot do alone.
Deal Structure: founders negotiating directly typically agree to more aggressive earnout targets, higher escrow holdbacks, broader indemnification, longer non-competes, and weaker rollover equity. Properly negotiated structure can be 10 to 20% of total deal value.
Founder Bandwidth and Business Performance: a sale process consumes 30 to 40 hours per week of buyer management. Without an advisor running interference, founders get pulled away from operating exactly when growth and retention matter most. Distracted operators see metrics decline mid-process, and buyers re-trade. The bandwidth issue alone justifies the fee.
The Narrow Exceptions: under $2M to $3M ARR, the deal is too small for advisory economics — broker tier or direct sale to a known buyer makes more sense. With a single trusted buyer, all-cash, no earnout, minimal escrow, and experienced M&A counsel, direct negotiation can work — though even here, the leverage from credible alternatives typically improves outcomes.
The Strategic-Acquirer Trap: founders with inbound interest from a strategic frequently assume “the buyer is right there, why pay a fee to find them?” The work isn’t finding the buyer — it’s creating competitive tension, controlling negotiation timing, structuring the deal, and running diligence. Single-buyer processes against sophisticated PE firms or strategic corp dev teams structurally favor the buyer.