There is a specific kind of founder who walks into an M&A process with enormous confidence and leaves deeply confused.
They have built something genuinely impressive. Hundreds of thousands of users. Strong engagement metrics. A product people actually use and talk about. The growth curve looks like something out of a venture pitch deck. By every measure they have been tracking, the company is working.
Then the buyer asks a simple question: where is the recurring revenue?
And the process changes.
Product-led growth has produced some of the most successful software companies of the last decade. Slack, Figma, Notion, Calendly — the model is real, and when it works, it creates businesses with extraordinary reach and customer love. But there is a version of PLG that looks like those companies from the outside and functions very differently under the surface. And in an M&A process, the difference between the two becomes impossible to hide.
This is the PLG trap: when top-line user traction creates the illusion of a valuable business without the commercial architecture that buyers actually underwrite.
What Buyers Are Actually Underwriting
To understand the PLG trap, you need to understand what acquirers are paying for when they buy a software company.
Buyers are not paying for users. They are paying for predictable, contractual, recurring revenue — the kind that shows up every month regardless of whether the sales team closes a single new deal. They are paying for a commercial model that demonstrates the business can grow efficiently and retain customers once it is under new ownership, with different priorities, a different budget, and a different sales motion than the one the founder built.
Users without contracts tell buyers very little about any of these things. A hundred thousand monthly active users could represent a deeply valuable business or a fundamentally broken monetization model, and without the commercial structure to distinguish between them, buyers assume the worst and price accordingly.
This is not a philosophical position. It is a practical one. When a PE firm or a strategic acquirer underwrites a transaction, they are building a financial model that needs to hold up over three to seven years. That model requires inputs: contracted ARR, renewal rates, expansion rates, average contract values, churn by cohort. If those inputs do not exist in a clean, documented form, the model cannot be built with confidence — and a buyer who cannot build a confident model either walks away or reduces the price until the uncertainty is adequately compensated.
The Three Forms the PLG Trap Takes
Not every PLG company falls into the trap the same way. There are three distinct patterns, each with different implications for how to address them before going to market.
The Freemium Dead End
The most common version: a large free user base with a thin, under-monetized paid tier sitting on top of it. The company has proven it can acquire users at scale, often with remarkable efficiency, but the conversion from free to paid is low, inconsistent, or dependent on a manual sales intervention that does not scale.
In diligence, this looks like a business where the unit economics of user acquisition are excellent but the unit economics of revenue acquisition are unclear or poor. Buyers will spend significant time trying to understand what percentage of free users actually convert to paying customers, at what point in the customer journey, through what mechanism, and whether that conversion rate is stable or declining as the product matures.
If the answers are uncertain or the conversion funnel has not been deliberately engineered, buyers will discount the value of the user base almost entirely and value the business on its actual contracted revenue, which is often a fraction of what the founder expected based on total user count.
The Engagement-Revenue Gap
The second pattern: a product with genuinely strong engagement — high DAU/MAU ratios, long session times, strong NPS — but with a pricing model that does not capture the value that engagement represents. This is common in bottoms-up PLG products that spread virally within organizations without ever converting individual users into enterprise contracts.
The company may have thousands of users inside Fortune 500 companies, paying nothing or very little, because the product was designed to spread first and monetize later. In principle, this represents enormous latent revenue potential. In practice, the M&A process happens at a specific moment in time, and buyers pay for what exists today, not for the monetization that might be unlocked in the future under better commercial architecture.
The gap between what the product is worth based on engagement and what buyers will pay based on current revenue can be dramatic. Founders in this situation often feel that buyers are fundamentally misunderstanding the value of what they have built. Sometimes that is true. More often, it reflects a legitimate disagreement about execution risk: the buyer is being asked to pay for a monetization outcome that has not yet been demonstrated.
The Enterprise Expansion Problem
The third pattern is specific to PLG companies that have successfully converted some portion of their user base into paying customers but have not built the commercial infrastructure to expand those accounts in a structured way.
A company with $8 million in ARR spread across thousands of small accounts, each paying $50 to $200 per month, has a fundamentally different risk profile than a company with the same ARR concentrated in a smaller number of enterprise contracts at meaningful per-seat or per-usage rates. The first business requires enormous operational effort to manage and grow. The second has natural paths to expansion through seat additions, usage growth, and upsell into additional modules.
Buyers evaluating the first scenario will look carefully at how efficiently the revenue can be managed post-acquisition and whether there is a credible path to moving upmarket. Without that path, or without the sales and customer success infrastructure to execute it, the commercial model requires significant investment before it can generate the growth the buyer is underwriting.
Why This Matters More in 2026 Than It Did Three Years Ago
The macro environment has made buyers considerably more focused on commercial model quality than they were during the growth-at-all-costs period of 2020 and 2021. When capital was cheap and growth was rewarded almost unconditionally, a large user base with unclear monetization could still attract premium interest from acquirers willing to pay for optionality.
That environment no longer exists. Buyers in 2026 are more disciplined, more focused on near-term profitability and cash flow generation, and more skeptical of commercial models that require significant post-acquisition investment to generate returns. The tolerance for monetization risk has compressed significantly, and PLG companies that have not addressed their commercial architecture before going to market are finding the valuation gap between what they expect and what buyers offer to be considerably wider than founders in earlier cycles experienced.
What to Fix Before You Go to Market
The PLG trap is not fatal. Many PLG companies have successfully addressed their commercial architecture before entering a process and achieved strong outcomes. The window to do this work is typically 12 to 18 months before initiating a formal process, which is precisely why starting early matters so much.
Build Enterprise Contract Infrastructure
The most important structural change is converting usage-based or informal relationships into formal, contracted ARR. This means developing enterprise pricing tiers, creating master service agreements, and building a customer success motion that supports renewal conversations and expansion within accounts.
This is not about abandoning the PLG motion that drove user growth. It is about building a commercial layer on top of it that allows the business to be valued as a software company rather than as a user acquisition engine. The two can and should coexist: the product-led motion continues to drive adoption, while the commercial infrastructure converts that adoption into predictable, documented revenue.
Define and Prove the Conversion Funnel
Buyers will want to see a clear, documented model of how users become customers. This means understanding and being able to explain, with data, what triggers conversion from free to paid, what the average time to conversion is, what the conversion rate is by user segment, and whether the conversion rate is stable or improving over time.
If the conversion funnel is not deliberately engineered — if conversions happen somewhat randomly based on individual users hitting limits or making spontaneous decisions — the work before a process is to instrument that funnel, understand the drivers, and create systematic conversion mechanisms that can be measured and presented credibly.
Demonstrate a Path to Enterprise
For companies with a very long tail of small accounts, demonstrating a credible path to enterprise expansion is essential for achieving a premium valuation. This typically requires showing some early evidence of upmarket motion: a handful of enterprise accounts at meaningfully higher contract values, a sales hire with enterprise experience who is building a repeatable motion, or a product capability that specifically addresses the needs of larger buyers.
The evidence does not need to be extensive, but it needs to be real. Buyers are not being asked to pay for the potential of enterprise expansion, they are being asked to pay for a demonstrated proof point that the motion works and can be scaled.
Clean Up Your Metrics
PLG companies often track engagement metrics more carefully than they track commercial metrics. Before a process, the commercial metrics need to be as clean and well-documented as the engagement data. This means having a clear ARR figure that is reconcilable to individual customer contracts, a documented churn and expansion rate, a CAC calculation that separates product-led acquisition from sales-assisted acquisition, and a cohort analysis that shows how revenue from different customer vintages has evolved over time.
Buyers will build their own version of all of these metrics from whatever data you provide. If your commercial data is incomplete or poorly organized, the model they build will be more conservative than what the business actually supports. Providing clean, well-organized commercial metrics removes that asymmetry and allows the business to be valued on its actual performance.
Frequently Asked Questions
Does product-led growth hurt my valuation in an M&A process? Not inherently. PLG companies that have built strong commercial infrastructure on top of their user base achieve excellent outcomes. The issue is specifically when user traction has not been converted into documented, contracted recurring revenue that buyers can underwrite.
How long does it take to fix a PLG commercial model before an M&A process? Typically 12 to 18 months to make meaningful, demonstrable progress. Building enterprise contract infrastructure, proving a conversion funnel, and developing enterprise expansion evidence all require time and consistent execution.
Will buyers pay for the potential of my user base even if it isn’t monetized? In 2026, most buyers will not pay a significant premium for unmonetized user potential. The tolerance for monetization risk has compressed considerably from the 2020 to 2021 period. Buyers are paying for what exists in contractual form today, not for what might be unlocked through post-acquisition investment.
What commercial metrics do I need to have ready before a process? Clean ARR reconcilable to individual contracts, documented churn and expansion rates, a CAC calculation separated by acquisition channel, and cohort-level revenue data showing how different customer vintages have performed over time.
Can a PLG company achieve a software multiple rather than a services multiple? Yes, when the commercial model demonstrates the key characteristics of a software business: predictable, contracted recurring revenue, strong net revenue retention, and a clear mechanism for expansion within existing accounts. The PLG motion itself is not the issue; the absence of commercial architecture built on top of it is.
Telegraph Hill Advisors is a boutique investment bank based in San Francisco specializing in technology M&A. We have advised on 250+ transactions for founder-led technology companies across SaaS, AI, and enterprise software. If you are building a product-led business and thinking about an exit in the next one to three years, we are happy to discuss what your commercial architecture needs to look like before you go to market.