Every SaaS benchmark measures your own revenue per employee. None of them measure your customer's, which is the number that decides whether they can afford a seat. We measured it across 4,700 real businesses.
Every revenue-per-employee benchmark you can find measures software companies. How efficient is your SaaS, how does it compare to the private median, how much has AI moved the number. All of it is about the seller.
Nobody publishes the same metric for the businesses that buy vertical software, and that is the number that actually decides whether they can pay you. A business where each employee generates $57,000 a year and one where each generates $1,125,000 are not the same customer, even if they have the same problem and the same headcount.
We measured it. Our Main Street corpus holds 14,600+ real businesses listed for sale with disclosed revenue and employee counts, of which 4,700 sit in an industry with at least 50 comparable listings. The spread across those 28 industries is 19.7x, and it changes what a seat can cost by the same factor.
Revenue per employee is annual business revenue divided by headcount. We compute it per business and then take the median within each industry, rather than dividing total industry revenue by total industry headcount, because the second method describes the largest business in each category rather than the typical one.
The second measure on this page is SDE margin, which is seller’s discretionary earnings divided by revenue. SDE is the standard Main Street profit measure and adds the owner’s compensation back to net profit, so it is a generous measure of what the business actually throws off. We use it as a proxy for how much slack there is to spend on anything new.
Neither number is about software companies. Every figure here describes a prospective customer for vertical software, which is the inversion that makes them useful.
Revenue per employee became a fashionable SaaS metric because it is a clean proxy for operating efficiency and because AI made it move. The published benchmarks all point inward: roughly $130,000 per employee for private SaaS, several hundred thousand for public companies, and outliers well above a million.
That is a useful number for deciding how many people to hire. It is useless for deciding who to sell to. A vertical SaaS founder needs the customer’s figure, because that is what determines whether a seat is a rounding error or a line item that needs approval.
The reason nobody publishes the customer-side version is that it requires financial data on thousands of small private businesses, which almost nobody has. Businesses listed for sale disclose exactly that, which is why this analysis is possible at all. The same corpus underpins our owner-dependence analysis.
We checked before writing. Every result currently ranking for this question measures revenue per employee for software companies: SaaS efficiency benchmarks, private-against-public comparisons, AI-native outliers. Several are good. None of them is about the customer.
The adjacent vertical SaaS content is market-sizing and category lists, which tell you how big a vertical is but not whether a business inside it can afford a subscription. Between those two literatures there is a gap exactly the size of this page. Our related coverage sits in niche SaaS opportunities by industry and vertical AI SaaS ideas.
We took every Main Street listing disclosing both annual revenue and an employee count, computed revenue per employee per business, and kept the 28 industry categories holding at least 50 such businesses. That leaves 4,700 businesses in the published table.
All figures are medians within industry. SDE margin is computed per business as seller’s discretionary earnings over revenue, then medianed. The 50-listing floor was chosen before the analysis rather than tuned to it, and industries below it are excluded entirely rather than shown with a caveat.
Listings are referenced only in aggregate. No business name, listing identifier or URL appears anywhere on this page.
| Industry | Businesses | Revenue per employee | Median employees | Median revenue | SDE margin |
|---|---|---|---|---|---|
| Ice cream parlours | 51 | $57,000 | 5 | $370,193 | 22.2% |
| Hair salons | 97 | $58,817 | 4 | $254,742 | 25.9% |
| Health and fitness clubs | 135 | $67,850 | 7 | $366,099 | 25.3% |
| Child care nurseries | 81 | $71,658 | 8 | $646,380 | 22.0% |
| Bars | 193 | $80,032 | 12 | $1,150,000 | 17.4% |
| Health and beauty (misc) | 129 | $100,000 | 5 | $457,924 | 27.6% |
| Bakers and confectioners | 98 | $103,673 | 6 | $576,443 | 20.6% |
| Take aways | 118 | $104,008 | 5 | $661,987 | 17.5% |
| Restaurants (misc) | 575 | $110,042 | 7 | $832,000 | 17.6% |
| Cafes and diners | 191 | $118,815 | 4 | $625,000 | 18.1% |
| Care homes | 123 | $120,650 | 5 | $1,003,631 | 21.1% |
| Dry cleaners | 76 | $120,657 | 3 | $358,148 | 43.7% |
| Gardening businesses | 55 | $135,964 | 4 | $797,089 | 27.1% |
| Health care businesses | 110 | $151,429 | 6 | $967,654 | 27.9% |
| Service businesses (misc) | 1,246 | $187,941 | 4 | $770,790 | 25.6% |
| Manufacturing (misc) | 132 | $207,240 | 7 | $1,525,165 | 19.8% |
| Property services | 99 | $209,000 | 3 | $678,100 | 26.0% |
| Liquor stores | 58 | $209,828 | 5 | $840,050 | 16.2% |
| Maintenance businesses (misc) | 447 | $214,082 | 4 | $825,000 | 25.0% |
| Retail (misc) | 75 | $221,667 | 3 | $652,631 | 24.2% |
| Auto repair | 101 | $223,502 | 5 | $995,000 | 20.7% |
| Convenience stores | 70 | $230,145 | 3 | $933,832 | 15.0% |
| Air conditioning businesses | 178 | $253,472 | 4 | $1,090,000 | 22.9% |
| Construction supply | 75 | $263,252 | 6 | $1,658,115 | 19.8% |
| Industrial cleaning | 62 | $281,157 | 4 | $791,658 | 24.9% |
| Construction (misc) | 220 | $282,308 | 5 | $1,585,824 | 20.5% |
| Carpet and flooring | 57 | $347,314 | 3 | $875,000 | 19.5% |
| Insurance-related businesses | 95 | $1,125,000 | 3 | $3,950,000 | 40.7% |
$57,000 at the bottom, $1,125,000 at the top. Nineteen point seven times. For comparison, the spread in revenue per visitor across SaaS categories, which we measured separately in how much traffic a SaaS actually needs, is 8.5x. This is more than twice as wide.
It means the single most important thing about a vertical, from a pricing point of view, is decided before you write any code and cannot be changed by your product. An identical piece of software sold into hair salons and into insurance brokerages is operating in two economies that differ by a factor of nineteen. Who you sell to also sets the yield, as measured in who micro SaaS actually sells to.
The bottom five are ice cream parlours at $57,000, hair salons at $58,817, fitness clubs at $67,850, child care nurseries at $71,658 and bars at $80,032. Every one of them is a business where a person must physically be present for revenue to occur.
These industries have a specific and well-known property: their only real growth lever is hiring, and hiring adds cost roughly in proportion to the revenue it adds. That is why their SDE margins cluster in the high teens and low twenties, with bars at 17.4% the lowest in the whole table alongside restaurants at 17.6%.
They also have highly visible operational pain, which is why they are perpetually named as underserved software markets. The pain is real. The budget is the problem, and the two get conflated constantly, including in problem-first idea lists and business ideas that solve real problems.
The top of the table is construction at $282,308, carpet and flooring at $347,314, industrial cleaning at $281,157, construction supply at $263,252 and air conditioning at $253,472, with insurance-related businesses far out in front at $1,125,000.
Insurance deserves its own note because it is an outlier by a factor of three over the next industry. A median insurance-related business in this corpus does $3,950,000 in revenue with three employees at a 40.7% owner earnings margin. That is a business where one person’s hour is extraordinarily expensive and the owner keeps a large share of what comes in.
It is also, not coincidentally, one of the categories our complaint research has repeatedly flagged as having severe unmet software needs, specifically around agency management. High revenue per employee plus documented pain is the combination that makes a vertical worth building for, and it is rare. The complaint-side evidence is inthe most underserved software markets and niche SaaS ideas in real estate and healthcare.
The practical translation is simple arithmetic. A tool at $50 per seat per month costs $600 per employee per year. Divide that by revenue per employee and you get the share of revenue your product consumes, which is the number a buyer feels even if they never compute it.
| Industry | Revenue per employee | $600/yr seat as share of revenue | How it reads to the buyer |
|---|---|---|---|
| Ice cream parlours | $57,000 | 1.05% | A line item requiring justification |
| Hair salons | $58,817 | 1.02% | A line item requiring justification |
| Fitness clubs | $67,850 | 0.88% | Noticeable |
| Bars | $80,032 | 0.75% | Noticeable |
| Restaurants | $110,042 | 0.55% | Noticeable |
| Care homes | $120,650 | 0.50% | Manageable |
| Health care businesses | $151,429 | 0.40% | Manageable |
| Auto repair | $223,502 | 0.27% | Easy |
| Air conditioning | $253,472 | 0.24% | Easy |
| Construction | $282,308 | 0.21% | Easy |
| Carpet and flooring | $347,314 | 0.17% | Rounding error |
| Insurance-related | $1,125,000 | 0.05% | Rounding error |
One percent of revenue per employee is a meeting. Five hundredths of one percent is a corporate card. The product did not change. The customer did.
Revenue per employee tells you how much revenue a person generates. SDE margin tells you how much of it the owner keeps, which is the pot any new spending actually comes out of.
The two mostly agree. Bars at 17.4%, restaurants at 17.6%, take aways at 17.5% and convenience stores at 15.0% are both low-leverage and low-margin, which is the worst combination for a software seller. Insurance at 40.7% is both high-leverage and high-margin, which is the best.
Where they disagree is where the interesting cases live, and there is one obvious disagreement in the table.
Dry cleaners sit at $120,657 revenue per employee, which is mid-table and unremarkable, on a 43.7% SDE margin, which is the highest of all 28 industries and higher than insurance.
That combination, ordinary revenue leverage with exceptional margin, describes a business with genuine slack. A median dry cleaner does $358,148 of revenue with three employees and keeps roughly 43 cents of every dollar, which makes a $600 seat about 0.5% of revenue per employee against a very comfortable earnings base. It is the kind of candidate that surfaces in low-competition SaaS ideas and micro SaaS ideas.
We are not going to claim dry cleaning is an under-appreciated vertical SaaS goldmine on the strength of 76 listings and one margin figure. We are saying it is exactly the shape worth checking when you are hunting, and that margin is a filter most vertical targeting ignores entirely. The method for checking is in validating in an industry you do not know.
Put the two halves together and a genuinely awkward pattern appears. The industries where operational pain is most visible to an outsider are heavily concentrated at the bottom of this table.
Everyone has watched a salon manage bookings in a paper diary, a restaurant run its rota on a spreadsheet, a gym chase memberships by text. The problems are obvious, the incumbent tooling is bad, and the industries are enormous. They are also the industries where each employee generates $57,000 to $80,000 and the owner keeps 17% to 26% of revenue.
Meanwhile the industries with three times the revenue leverage, construction supply, industrial cleaning, insurance brokerage, are invisible to most founders precisely because their operations are not conducted in public. Nobody has an anecdote about an insurance brokerage. That asymmetry of visibility is a significant and under-discussed source of bad vertical selection, and it is why niche selection should start from financials rather than from familiarity.
This is the sentence to take away: a documented complaint tells you a problem exists, not that anyone can pay to solve it. Our complaint corpus of 1M+ reviews is very good at establishing the first and says nothing about the second.
Which is why we would now pair any complaint-derived vertical idea with the customer’s revenue per employee before committing to it. A severe, frequently documented problem in a $57,000-per-employee industry supports a much cheaper product than the same problem in a $282,000-per-employee industry, and the pricing decision follows from the customer rather than from the product. The pain side of that pairing is inbusiness pain points, small business software pain points and tools for finding pain points.
There is a version of the low-leverage industries that does work, and it is worth stating because it is the strongest argument against treating this table as a simple avoid-list.
In a business where revenue only rises by adding a person, software that removes labour hours has a directly computable return: it defers a hire. At $57,000 of revenue and roughly $40,000 of cost per employee, saving a quarter of one person’s time is worth around $10,000 a year, which comfortably supports a $600 seat.
But that only works if the product genuinely removes hours rather than adding a dashboard, and it has to be sold on that basis rather than on features. The low-leverage verticals are winnable with a labour-replacement product and close to unwinnable with an information product, which is a much more precise rule than avoid or pursue. The build-side version is in how small your MVP should be and internal tool ideas.
The pattern in the top half of this table is consistent: trades, supply, maintenance, construction and insurance. Businesses with few employees, high revenue per employee and unglamorous operations.
They win on three counts at once. Each seat is a smaller share of revenue, the owner keeps more, and competition for their attention is thinner because far fewer founders have personal experience of the industry, which is the argument behind the most profitable SaaS niches and B2B SaaS ideas. The first two are measured on this page and the third follows from the visibility asymmetry above. We have argued the same case from the complaint side inboring industries begging for micro SaaS and boring business ideas.
One independent check. Across our review corpus of 1M+ complaints from Capterra, G2 and the app stores, the recurring themes in small-business software are cost, support, integration and reporting. Cost sits near the top in every category family we have analysed.
That is consistent with what this table predicts. When the customer’s revenue per employee is low, price is not one objection among several, it is the dominant one, and it shows up in reviews as the most frequent complaint about software that otherwise works. We broke the category-level detail out incustomer support software limitations, email marketing software limitations and sales software limitations.
| What was posted | Source | What it maps to |
|---|---|---|
| “I digitized my family owned/operated cleaning biz and here’s what it revealed” | r/EntrepreneurRideAlong | An operator building for their own low-leverage vertical |
| “Do you know what each individual account is really making, or do you mostly look at total revenue, payroll, and what remains in the bank?” | r/EntrepreneurRideAlong | Per-unit economics nobody tracks |
| “when your competition is a spreadsheet, your sales pitch is basically stop doing this by hand” | r/microsaas | The labour-replacement pitch, stated correctly |
| “what niche are you seeing that’s still running on spreadsheets?” | r/microsaas | Visibility-driven vertical selection |
| “Anyone else building boring but profitable tools?” | r/microsaas | The top half of this table |
| “I want to sell payroll without building a payroll team” | r/microsaas | Labour cost as the product wedge |
The third one is the correct pitch for the bottom half of this table and the fourth is the reason founders keep landing there. Spreadsheet-driven niches are the visible ones, and visibility correlates with low revenue per employee.
| Customer revenue per employee | What it means | Pricing approach |
|---|---|---|
| Under $80,000 | Labour-bound. A $600 seat is around 1% of revenue per head | Sell removed hours. Flat business-level fee or outcome pricing |
| $80,000 to $150,000 | Mid. Price is a real objection but not fatal | Per-seat works if the time saving is explicit |
| $150,000 to $250,000 | Comfortable. Seat is 0.24% to 0.40% | Standard per-seat pricing |
| Above $250,000 | High leverage. Seat is a rounding error | Price on value. The objection will not be cost |
| High margin, average leverage | Slack without obvious leverage, as in dry cleaners at 43.7% | Worth investigating. Margin is the underused filter |
| Low margin and low leverage | Bars, restaurants, convenience stores | Hardest sale in the table. Only labour replacement works |
| Benchmark | Value | Basis |
|---|---|---|
| Spread in revenue per employee | 19.7x | 28 industries |
| Lowest industry | $57,000 (ice cream parlours) | n = 51 |
| Highest industry | $1,125,000 (insurance-related) | n = 95 |
| Largest industry in the corpus | $187,941 (misc service) | n = 1,246 |
| Lowest SDE margin | 15.0% (convenience stores) | n = 70 |
| Highest SDE margin | 43.7% (dry cleaners) | n = 76 |
| $600/yr seat at the floor | 1.05% of revenue per employee | ice cream parlours |
| $600/yr seat at the ceiling | 0.05% of revenue per employee | insurance-related |
| Ratio between those two | 20x | same price, same product |
| Median employees, hospitality floor | 4 to 12 | salons to bars |
| Median employees, high-leverage top | 3 to 6 | insurance to construction supply |
Computed on September 21, 2026 against a live warehouse. Population is every Main Street listing disclosing both annual revenue above zero and an employee count above zero, grouped by the listing’s own industry category, keeping categories with at least 50 such listings. That gives 28 industries and roughly 4,700 businesses.
Revenue per employee is computed per business and then medianed within industry. SDE margin is seller’s discretionary earnings over revenue, computed per business and then medianed. The seat arithmetic assumes $50 per seat per month, which is $600 per employee per year, divided by the industry median revenue per employee.
Listings are referenced only in aggregate and no business name, identifier or URL appears on this page. Community quotes are attributed to the subreddit only.
| Source | What it contributed | Limitation |
|---|---|---|
| Main Street listings corpus (14,600+ listings) | Every revenue, headcount and margin figure | Businesses listed for sale, which may differ from those not for sale. Headcount is not FTE-adjusted. |
| Listing industry categories | The 28 industry groupings | Source-assigned and uneven. Several are labelled miscellaneous and span heterogeneous businesses. |
| Review corpus (1M+ complaints) | Independent confirmation that cost dominates small-business software complaints | Establishes that a problem exists, never that a budget does. That is the whole point of pairing it with this table. |
| Software listings corpus (800+ listings) | Context on what vertical software itself earns | Does not record which vertical a product serves, so no direct join was possible. |
| Operator subreddit capture (September 2026) | How vertical selection is actually done in practice | Anecdote. Visible verticals are over-represented, which is itself the finding. |
| Live search results | Confirmation that published benchmarks all measure software companies | One geography, one point in time. |
The largest limitation is full-time equivalents. A bar with twelve employees may have the working hours of five full-time people, which would raise its true revenue per employee substantially. The floor industries in this table are the most part-time-heavy, so the 19.7x spread is probably an overstatement, though the ordering is unlikely to change.
Second, we measure capacity to pay rather than current software spend. An industry can have excellent leverage and already be well served, which this analysis cannot see. It should be paired with a competitive check rather than used alone, using competitor research and competitor analysis for SaaS.
Third, several of the largest categories are labelled miscellaneous. The 1,246-business services category is the biggest in the table and almost certainly spans businesses with very different economics, so its $187,941 median is the least meaningful number on the page. We left it in because removing it would hide how much of the corpus sits in coarse buckets.
The computation is one division and one grouping: revenue over headcount per business, medianed by industry, with a minimum listing count so you are not reading noise. Compute per business and then median, never total over total.
The same listings are queryable through our tools. See how to research market size, finding niche business ideas, the acquisitions database and cross-source research via MCP.
BigIdeasDB holds 14,600+ real businesses with disclosed financials, 1M+ documented complaints, 30,000+ companies taking payments and 8,600+ revenue-verified startups. Pair the pain with the budget before you commit a year.
Explore verticals →This page exists because we hold the customer side and the complaint side in one place. Complaint data tells you where the problems are. Listing financials tell you whether the people with those problems can pay. Neither is sufficient alone, and almost nobody has both.
For the surrounding decisions: the most underserved software markets and niche opportunities by industry cover where the gaps are, what micro SaaS actually charges and pricing strategies cover the price, how much traffic a SaaS needs covers the yield, and is your SaaS an asset or a job uses the same corpus to price owner-dependence.
Across 4,700 real businesses in 28 industries, median revenue per employee runs from $57,000 in ice cream parlours and $58,817 in hair salons to $282,308 in construction and $1,125,000 in insurance-related businesses, a 19.7x spread.
Hospitality and personal services. Ice cream parlours at $57,000, hair salons at $58,817, health and fitness clubs at $67,850, child care nurseries at $71,658 and bars at $80,032. All of them require a person to be physically present for revenue to occur.
Insurance-related businesses at $1,125,000 are far ahead of everything else, followed by carpet and flooring at $347,314, construction at $282,308, industrial cleaning at $281,157 and construction supply at $263,252.
Because it converts your price into a share of their revenue. A $50 per seat per month tool is $600 per employee per year, which is 1.05% of revenue per employee in an ice cream parlour and 0.05% in an insurance business. The same price is a budget meeting for one and a corporate card swipe for the other.
Not necessarily, but you have to sell differently. In a business where revenue only rises by adding a person, software that removes labour hours defers a hire and has a directly computable return. Those verticals are winnable with a labour-replacement product and close to unwinnable with an information product or a dashboard.
On its own, no. The industries whose pain is most visible to outsiders, salons, restaurants, gyms, are concentrated at the bottom of the revenue-per-employee table. Pain establishes that a problem exists. It says nothing about whether anyone can pay to solve it.
In this corpus the range is 15.0% for convenience stores to 43.7% for dry cleaners, with most industries between 17% and 28%. Low margin and low revenue per employee together, as in bars at 17.4% and restaurants at 17.6%, is the hardest combination to sell software into.
Insurance-related businesses, at $1,125,000 revenue per employee and a 40.7% SDE margin, on a median $3,950,000 of revenue with three employees. Dry cleaners are the interesting outlier, with an ordinary $120,657 revenue per employee but the highest margin in the table at 43.7%.
It measures the opposite side. Published benchmarks of roughly $130,000 per employee for private SaaS describe the software company. This table describes the businesses that buy vertical software, which is the number that determines what they can afford.
Usually not below about $100,000 of revenue per employee, where a $600 seat is close to 1% of what each person generates. A flat business-level fee or outcome-based pricing sits better against a thin per-head base. Above $250,000 per employee, per-seat pricing is effectively free at 0.2% or less.
No, and it is the largest limitation on the page. Headcount in these listings is not adjusted to full-time equivalents, and the lowest-leverage industries are the most part-time-heavy, so the true spread is probably narrower than 19.7x even though the ordering is unlikely to change.
Use complaints to find where the problems are and this table to check whether the people with those problems can pay. A severe documented problem in a $57,000-per-employee industry supports a much cheaper product than the same problem in a $282,000-per-employee industry.
BigIdeasDB Research. (2026). Revenue Per Employee by Industry, and What It Means for Your Price. BigIdeasDB. Retrieved from https://bigideasdb.com/revenue-per-employee-by-industry-vertical-saas