Not what to charge in theory. We parsed every published price we could reach from 29,000+ companies taking payments on Stripe, then threw away the fifth that was junk. Here is what the survivors say.
The most upvoted pricing question in the micro SaaS communities we track is not “which pricing model should I use.” It is narrower and more anxious than that. Posted tor/micro_saas: “for those charging for a micro SaaS in a crowded space: how did you figure out your pricing?”
Nobody answers it with data, because the data is annoying to get. Pricing pages are unstructured, half of them hide behind a contact form, and the ones that do publish numbers bury them in marketing copy. So the answers are anecdotes, and the anecdotes cluster around two numbers everybody has heard: $29 and $49.
We had a way to check. The Stripe Index is our snapshot of 29,000+ companies listed on Stripe, drawn from Stripe’s public directory, each one AI-classified for category, business model, price tier and pricing model, with published price points captured where they exist. We parsed every price value in it, discarded the fifth that turned out to be junk, and kept 39,679 usable figures.
The median is $49. The median for products classified as micro SaaS is $25. If your instinct was $29, you were already above the middle of your own segment.
Pricing questions dominate the founder subreddits in a way that idea questions do not, because pricing is the one decision you cannot postpone and cannot easily reverse. The phrasing is consistent across communities.
One longr/startupspost that reads like a competitive research template asks: “We also want to know how they charge?” and then “how open are they about price?” and then “Is it subscription based or 1 time purchase?” Those are exactly the three variables this article measures.
Ar/microsaascommenter proposes a specific structure and asks for a sanity check: “Quick thought on your pricing model: Have you considered a hybrid approach where one-time buyers get the current version + updates for 12 months?” A r/smallbusiness poster asks the human version: “Do you give friends a discount, charge full price, or somewhere in between?”
For the method behind sourcing these questions, see how to find business ideas on Reddit and Reddit product opportunities.
The source is the Stripe Index, our AI-enriched snapshot of companies listed on Stripe’s public directory. Three fields matter here: a classified price tier (free, low, mid, high, enterprise), a classified pricing model (subscription, one-time, quote, transaction fee, usage, freemium), and an array of captured price points.
Coverage is partial and we state it up front. Of 29,000+ companies, price tier is known for 12,000+, pricing model for 15,000+, and at least one price point exists for 12,000+. Every percentage below is expressed against the population where that field is known, never against the full 29,000, because doing otherwise would silently treat missing data as a category.
All figures were re-run against the live database on September 10, 2026.
Scraped pricing is dirty and most published pricing analyses do not admit it. Ours was.
The raw price arrays contained 56,440 values. The single most common value was “$1”, appearing 1,851 times, which is not a price point but a currency symbol captured from surrounding page text. “$1, $2, $3” appeared 244 times. “$0.00” appeared 75 times.
We filtered by discarding every value at or below $3 and every value above $2,000. That removed 11,995 junk values, 21% of the raw set, plus 4,766 high outliers. What remains is 39,679 values that behave like real prices.
The filter is blunt and it certainly discards some genuine $1 and $2 products. We chose a reproducible rule over a hand-curated one so the number can be recomputed and challenged.
| Source | Evidence type | Volume used | Limitation |
|---|---|---|---|
| Stripe Index price points | Published prices captured from company pages | 39,679 usable values | 21% of raw values were junk and were filtered; listed prices are not realised prices |
| Stripe Index price tier | AI classification into free/low/mid/high/enterprise | 12,261 companies | Known for ~42% of companies; unknown is excluded, not treated as a tier |
| Stripe Index pricing model | AI classification of how the company charges | 15,266 companies | Known for ~52% of companies; a company can run more than one model in reality |
| Free trial / freemium flags | Boolean flags from company detail pages | 29,089 companies | Absence of a flag may mean absent, or merely not detected on the page |
| Capterra pain points | Scored B2B complaints with severity ratings | Pricing-tagged subset | Category coverage decays alphabetically |
| G2 processed insights | Sentiment-tagged B2B insights | Cost-related subset | Summarised rather than verbatim |
| App Store reviews | Consumer reviews, 3 stars and below | Billing-related subset | Anger is over-represented relative to spend |
| TrustMRR clusters | Revenue clusters across 8,699 tracked startups | 4 cluster types | Median MRR collapses to near zero in the long tail; averages mislead |
Medians, not averages. A handful of four-figure prices drag the mean somewhere useless.
| Segment | Values | 25th pct | Median | 75th pct | 90th pct |
|---|---|---|---|---|---|
| All companies | 39,679 | $15 | $49 | $199 | $505 |
| Micro SaaS only | 3,149 | $10 | $25 | $97 | $299 |
| One-time pricing | 7,069 | $24 | $75 | $250 | $600 |
| Quote-based | 2,475 | $19 | $99 | $399 | $990 |
| Subscription | 17,358 | $15 | $47 | $190 | $500 |
| Transaction fee | 3,972 | $16 | $45 | $150 | $500 |
| Usage-based | 1,203 | $10 | $25 | $80 | $300 |
| Freemium | 605 | $11 | $23 | $53 | $220 |
| Tier: high | 3,976 | $44 | $199 | $531 | $1,200 |
| Tier: mid | 17,969 | $22 | $75 | $229 | $550 |
| Tier: low | 9,477 | $10 | $20 | $59 | $200 |
| Tier: enterprise | 664 | $20 | $61 | $299 | $680 |
$25 against $49. The gap holds at every percentile: $10 vs $15 at the bottom quartile, $97 vs $199 at the top, $299 vs $505 at the ninetieth.
The practical read is that the popular $29 and $49 anchors are not conservative defaults. They sit above the micro SaaS median and, at $49, at the overall market median. Founders who think they are pricing modestly at $29 are pricing in the upper half of their segment.
That does not mean $29 is wrong. It means the belief that it is safely low is wrong. See how to price a micro SaaS and micro SaaS ideas for 2026.
Of the 12,261 companies with a classified price tier: mid 46.8% (5,735), low 36.9% (4,521), high 12.8% (1,570), enterprise 2.6% (321), free 0.9% (114).
For what those products look like in practice, see micro SaaS examples and single-feature micro SaaS ideas. Micro SaaS is not spread across those tiers. It is concentrated: 762 in low, 290 in mid, 44 in free, and then it falls off a cliff at 17 in high and exactly 1 in enterprise.
One company in the entire dataset is both micro SaaS and enterprise-priced. Treat that as the boundary of the category rather than an aspiration. If you want to sell above that line you are building a different kind of company, described in B2B SaaS ideas and vertical AI SaaS ideas.
This is the finding that surprised us most, and it is uncomfortable.
Our buildability score rates how feasible a product looks to build, from 1 to 10. Averaged by price tier it runs: free 5.11, low 5.08, mid 4.39, high 3.66, enterprise 3.18. It is a clean monotonic decline. The easier something is to build, the less the market pays for it.
It is worth cross-reading against how to build a SaaS in 2026 and what a micro SaaS boilerplate is. The founder-facing implication is blunt. If you chose your idea partly because it looked quick to ship, you have also, without deciding to, chosen a price ceiling. The weekend build and the $500 price point are usually mutually exclusive.
This is the pricing counterpart to the difficulty argument in SaaS moats in the AI era and micro SaaS with no API dependency.
The enterprise tier shows a $61 median, well below high tier’s $199. That is not real.
Enterprise pricing is generally not published. What a scraper finds on an enterprise vendor’s site is a starting price, a per-seat add-on, or the entry plan that exists to make the sales conversation happen. The contract value is invisible.
We are leaving the number in the table rather than dropping it, because the gap between listed and realised price is itself the lesson, and it widens as you move up market.
| Model | Companies | Share | Of which micro SaaS | Median price |
|---|---|---|---|---|
| Subscription | 6,547 | 42.9% | 970 | $47 |
| One-time | 3,022 | 19.8% | 142 | $75 |
| Quote / contact sales | 2,898 | 19.0% | 7 | $99 |
| Transaction fee | 2,039 | 13.4% | 45 | $45 |
| Usage-based | 440 | 2.9% | 45 | $25 |
| Freemium | 320 | 2.1% | 117 | $23 |
Freemium consumes a wildly disproportionate share of founder discussion relative to its actual prevalence. It is 2.1% of companies with a known pricing model. One in fifty.
For the wider argument about giving away the core, see the best free tools for indie hackers. It is also the lowest-priced model when it does convert, at a $23 median, below even usage-based. So the trade is not “free tier now, premium revenue later.” In aggregate it is a free tier plus a cheaper paid tier than everyone else charges.
The one genuine signal in favour: 117 of the 320 freemium companies are micro SaaS, so freemium is over-indexed among small self-serve products even while being rare overall.
Across all 29,089 companies with detail records: 4,656 have a free trial and 1,553 have freemium. Cross-tabulated, 23,951 companies, 82%, have neither.
The default behaviour of companies taking real payments is to charge, immediately, with no free entry path. That is a different world from the one described in getting your first 100 SaaS users and getting your first customer, where free is often assumed. That is worth sitting with if you have been treating a free tier as table stakes.
| Freemium | Free trial | Companies | Share micro SaaS |
|---|---|---|---|
| No | No | 23,951 | 5.2% |
| No | Yes | 3,569 | 10.2% |
| Yes | Yes | 1,087 | 21.7% |
| Yes | No | 466 | 10.3% |
A company running both freemium and a free trial is four times more likely to be micro SaaS than one running neither. The direction of causation is unclear and we are not going to pretend otherwise: small self-serve products may adopt free tiers, or free tiers may keep products small. Either way it is a strong association.
Subscription is more than twice as common (42.9% vs 19.8%), but one-time products list higher: $75 median against $47.
See how to sell your SaaS for what each model does to an eventual exit, and buying vs building for the acquirer’s view. That gap is rational. A one-time price has to capture the whole relationship in a single transaction, so it prices in the lifetime that a subscription collects gradually. At a $47 subscription median, a one-time product needs to clear roughly a year and a half of subscription revenue at the median to break even on the comparison.
Buyers notice. One Capterra reviewer explained a churn decision plainly: “Some users opted for cheaper alternatives that don’t require subscriptions.” That is not a price objection, it is a model objection.
Usage-based is 2.9% of known models, 440 companies. It also carries the second-lowest median at $25.
The mismatch between how much usage-based pricing is discussed and how little it is practised is one of the widest in the dataset. It suits metered infrastructure and AI inference; it suits very little else, and it makes revenue unforecastable at small scale.
Related: the AI SaaS revenue reality check and SaaS metrics benchmarks.
19.0% of companies publish no price at all and route to a contact form. Where a price does leak, the median is $99 with a $990 ninetieth percentile, the highest spread of any model.
Note that only 7 of 2,898 quote-based companies are micro SaaS. Hiding price is a strategy that requires a sales motion, and a sales motion is what stops something from being micro SaaS.
13.4% take a cut per transaction, at a $45 median. Marketplace mechanics are covered in subscription business ideas and automated business ideas. This is the marketplace and payments pattern, and it is structurally attractive because revenue scales with customer success rather than with seat count.
It also generates a specific and vicious class of complaint. From a Capterra reviewer in association management: “They charge your customers late fees for non-payment, yet they keep the money for your service. We have lost roughly $30,000 of uncollected dues because they just didn’t contact people.” A performing-arts managing director was more measured: “I don’t love some of the fee structures outside of ticket purchases but the structure for tickets is good enough to be worth it.” A box office manager was not: “They charge you to rearrange seating charts, and once made they cannot be changed.”
This is the single most actionable finding in the article. The variation in pricing model between categories dwarfs anything a founder chooses.
| Category | Known | % low tier | % one-time | % subscription |
|---|---|---|---|---|
| nonprofit-fundraising | 164 | 76.8% | 16.8% | 11.6% |
| creator-monetization | 235 | 65.1% | 26.2% | 39.9% |
| membership-communities | 244 | 55.3% | 6.7% | 87.3% |
| education-elearning | 455 | 46.6% | 28.1% | 54.4% |
| events-ticketing | 327 | 45.6% | 22.5% | 16.5% |
| invoicing-billing | 191 | 44.5% | 11.6% | 70.8% |
| ai-tools | 570 | 43.3% | 6.2% | 77.0% |
| courses-coaching | 457 | 41.1% | 25.1% | 57.6% |
| scheduling-booking | 574 | 37.8% | 34.8% | 35.5% |
| subscription-management | 402 | 34.1% | 3.0% | 90.2% |
| ecommerce-platform | 1,655 | 31.7% | 59.4% | 10.5% |
| home-services-trades | 278 | 29.1% | 12.0% | 9.7% |
| data-analytics | 151 | 34.4% | 3.2% | 82.6% |
| lead-generation | 245 | 28.2% | 4.7% | 62.5% |
Category-level opportunity is mapped in niche SaaS opportunities by industry and the most underserved software markets. Ecommerce tooling is 59.4% one-time. Subscription management is 90.2% subscription. Those are not preferences, they are conventions the buyer already holds, and fighting them costs you conversion you will attribute to something else.
Nonprofit fundraising is the floor: 76.8% low tier, and only 11.6% subscription. Creator monetisation follows at 65.1% low. Membership communities at 55.3%.
These are categories where the buyer’s own revenue is small or donated, and the price ceiling reflects that. It intersects with the demand data in industries still running on spreadsheets, where nonprofit workflows show heavy manual-work complaints: real pain, thin wallets.
Scheduling and booking is the most interesting row in the table: 34.8% one-time, 35.5% subscription, 37.8% low tier. A near three-way split means the convention is unsettled and a deliberate model choice can still be a differentiator.
Home services and trades is stranger still: only 9.7% subscription and 12.0% one-time, which means the large majority sit in quote or transaction-fee territory. For a category this under-served, see boring industries begging for micro SaaS.
Back to the original question. In a crowded space, the instinct is to undercut. The data says crowding already pushed the category down, so undercutting a depressed price mostly buys you a worse business.
The more useful move is to change the comparison. Cross-reference your category against SaaS market saturation: if it is crowded with software, compete on the specific unfinished workflow. If it is crowded with operators but thin on software, you are not actually in a crowded market and should not price like it.
For a large share of micro SaaS, the incumbent is not a rival product. It is a spreadsheet or a manual routine, which is what 20,000+ complaints in our corpus describe.
A free incumbent has no vendor, no contract, no renewal and nobody who will defend it in a meeting. What it has is zero marginal cost and total flexibility. So you are not competing on price, you are competing on inertia.
When the alternative is free, feature comparison is the wrong frame and buyers reject it. One App Store reviewer articulated the rejection precisely: “Not paying for a meal planner that has no beneficial features. Can create better, customized menus using a simple web search and a spreadsheet.”
The evidence for that framing is in business pain points and tools to find customer pain points. Time is the frame that works. If the manual process takes four hours a month and the buyer values their time at anything reasonable, a $25 to $49 price is trivially justified. That is also, conveniently, exactly the band the data says micro SaaS occupies.
More on quantifying that: customer discovery questions and calculating market size.
The complaint corpus is unusually vivid on this, and the pattern is that customers forgive a high price far more readily than a changed one.
A founder in computer software, on Capterra: “They raised prices by 500% without informing us. When we called to dispute the price increase, they refused to help.” A real estate CEO: “They are cheating and charge double every month.” A nonprofit project leader on a quota cut: “Then, out of the blue, without any communication or explanation, the number of translation minutes was reduced overnight.”
The App Store versions are angrier. “You want to charge me double for an app I’ve been using for five years and limit me to 10 invoices if I don’t give you your monthly bribe?” And: “Been a user of this app for years for my small business. Recently substantially increased subscription cost without any app upgrades or features and have put a limit on invoice number. I’m done with this company.” And: “Already had unlimited invoices and now they want to charge double to send unlimited. Also now charging to use the expense tracker on top of everything else.”
The common thread is not the amount. It is taking away something already given, without notice. See why SaaS customers churn.
Where you place the paywall generates more resentment than what it costs. Two App Store reviews make the point without needing commentary: “Kind of scummy to add a paywall after using the app. Now I need to transfer to another service.” And, worse: “Takes your biometric data and THEN gives you a paywall. Do not download!!!!”
A paywall after investment reads as a trap. A paywall before investment reads as a price. Same money, different reaction.
If you run a free trial, the single most common billing complaint in the consumer corpus is the trial that charged anyway. “used free trial and canceled same day and they still charged me 75$.” “I keep on getting charged 7.99 even though I cancelled my subscription during the free trial.” “I can’t cancel my subscription, I try many times, and now I have another charge on my credit card this is BS.” “Was charged for this app I never wanted and being refused a refund which is insane.”
A G2 insight generalises it: the critical problems include “issues with ‘free trial’ practices that lead to unexpected charges.”
Most of these are probably cancellation-UX failures rather than deliberate fraud, which is worse, because it means the damage is self-inflicted and cheap to fix.
A marketing director in financial services named the classic error: “Not having ZAPIER access from the first paying plan. I understand not from the FREE plan, but at least once you pay ...”
Integrations are usually the wrong gate, because they are what makes the product sticky. An assistant professor made the milder version: “It would be nice to get more functionality out of the free trial.” A freelance writer put the whole tier ladder in one line: “The only version that is worth it is premium...”
If only the top tier is worth buying, you do not have three tiers, you have one tier and two decoys. Related: the most requested software features.
The complaint corpus is a running commentary on perceived value, and the recurring theme is not that software is expensive. It is that the cost stopped matching the outcome.
A G2 insight states it directly: “High pricing and additional charges after plan exhaustion are notable issues that reduce overall customer satisfaction and loyalty; the perceived value does not match the cost, impacting user retention and acquisition.”
Others in the same corpus tie cost to a specific missing capability rather than to the number itself. “Primary issues include high subscription costs, lack of comprehensive suggestions for contract issues, slow website performance, and a steep learning curve for users requiring the product to be effective.” “Users express frustration with high subscription costs, slow performance, numerous bugs, poor user experience, limited integrations, and inadequate automation features.” “Users consistently report limitations in user interaction capabilities, high subscription costs, and insufficient integration options, impacting webinar engagement and overall user satisfaction.”
One is unusually specific about the scope problem: “Significant dissatisfaction exists due to slow data loading times, limited data sources primarily focused on Twitter, poor customer service, high subscription costs, and a difficult user experience.” Narrow data coverage plus a broad price is a reliable way to generate that sentence.
And one names the interoperability version: “Key pain points include limited interoperability (only works on Verizon phones), inconsistent voice quality, high subscription costs, lack of aesthetic customization options, and network issues affecting service reliability.”
The pattern across all of them is that “too expensive” is almost never a statement about the price in isolation. It is a statement about the ratio. That is why raising the numerator is safer than most founders believe and why degrading the denominator is more dangerous than they realise. See why SaaS customers churn, customer review analysis, and customer pain point analysis.
A Capterra billing manager at a law firm shows what happens when the money handling itself is the product failure: “Everything about the accounts receivable and finance charge aspect is a mess.” A wholesale president shows the same in ordering: “Orders that are placed are not sorted or forwarded to each sales rep; we cannot do a group email blast with a specific price list for bookings.” And an industrial automation president names the exact gate that broke the deal: “Integration with Sage is great, but the inability to modify or send price lists is crippling for our business model.”
If your product touches money, pricing errors and product errors become the same complaint. Related reading: sales software limitations, customer support software limitations, email marketing software limitations, and the most hated software of 2026.
Per-seat pricing punishes exactly the behaviour you want, which is more people using the product. It works when seats map to value, and fails when the buyer responds by sharing a login.
Notion publishes an unusually explicit per-seat policy, including proration on mid-cycle changes and free guests, which is a good model to read if you are going that route.
Annual billing is the cheapest cash-flow improvement available to a small product and the most commonly skipped. It also changes the churn conversation from monthly to yearly, which for a $25 product is the difference between a viable business and a rounding error.
See getting to the first $1K MRR and MRR vs ARR vs TTM revenue explained.
A r/smallbusiness poster asked the version everyone eventually faces: “Do you give friends a discount, charge full price, or somewhere in between?” A commenter in the same corpus raised the adjacent one about referral economics: “Do you pay referral cuts like that, or thank people and keep the margin?” A third asked the question that should decide it: “What is your typical profit margin on a project referred to you by this source?”
The r/smallbusiness question, “Do you give friends a discount, charge full price, or somewhere in between?”, has a data-informed answer: at a $25 median the discount is worth almost nothing to them and costs you your price anchor.
The r/microsaas proposal, “one-time buyers get the current version + updates for 12 months,” is a real pattern and the data supports it as a bridge: one-time commands a $75 median against subscription’s $47, so a one-time-plus-updates structure captures the higher headline price while creating a renewal moment.
If you sell through a mobile app store, your realised price is not your listed price. Google Play’s published service fee schedule notes that 97% of developers distribute at no charge, and that of those who do pay a service fee, 99% are eligible for a rate of 15% or less through its various programmes, with additional billing fees layered on top.
On a $25 product that is real money, and it is the reason many micro SaaS founders price web and mobile differently. See profitable mobile app ideas and the state of mobile app pain points.
A published price tells you what someone hopes to charge. It says nothing about whether anyone pays.
Across the 8,699 startups in our revenue clusters, the revenue-tier grouping shows an average MRR of roughly $20,900 and a median of roughly $9,200, while the business-model grouping shows an average of roughly $2,100 and a median of about $1. That is not a typo. Most of the long tail earns essentially nothing, and any average you read anywhere is being carried by a handful of outliers.
Check yours against TrustMRR revenue benchmarks, benchmarks by category, and the state of indie SaaS revenue.
Worth knowing, because these products set your buyer’s sense of what software costs. ChatGPT runs a free tier plus several paid tiers per user per month; Claude is structured similarly; Notion runs free, two paid per-seat tiers, and custom enterprise pricing.
Exact figures vary by currency and region, so check the pages rather than trusting a number in an article, including this one. The structural point is that the tools your buyer uses daily have anchored them on a low double-digit monthly figure per person, which is precisely the band the micro SaaS median sits in.
A defensible starting method from this data. Find your category in the table above and take its dominant model. Start at the micro SaaS median of $25 if you are self-serve and single-purpose, or the market median of $49 if you are replacing a workflow rather than a feature. Then adjust up for buildability, since low buildability supports a higher price, and adjust down only if your category sits in the cheap cluster.
What you should not do is pick $29 because everyone says $29. If you are still choosing what to build rather than what to charge, start at how to find startup ideas, SaaS ideas backed by pain points, or how to find problems worth solving.
Raise on new customers first, grandfather existing ones, and announce it before it happens. For the retention context see SaaS metrics benchmarks and how fast SaaS startups actually grow. Every price-increase complaint quoted above shares the same shape, which is a change applied silently to people who had already committed.
Compare your position against the state of indie SaaS revenue and TrustMRR benchmarks before deciding. Nobody negotiates. Nobody churns on price. Your cheapest tier is your most popular by a wide margin. Support load per customer is low. If you are micro SaaS and charging under $10, you are below the 25th percentile of your own segment, which is a strong prior that there is room.
Price is testable the same way an idea is. Look at what the category already charges, look at what the incumbent’s customers complain about paying for, and look at whether anyone is paying a human to do the job manually today, which is the clearest possible willingness-to-pay signal.
See validating SaaS demand with Upwork jobs, multi-signal validation, and the SaaS idea validation tool.
Price tier is known for 12,261 of 29,089 companies (42%) and pricing model for 15,266 (52%). Missing data is excluded from every percentage rather than counted as a category, but the missing half is not random. Companies that publish prices are systematically more self-serve and more likely to be small, which almost certainly biases these medians downward relative to the true market.
Read this as a floor on what companies charge, not a centre.
Listed is not realised. Discounts, annual deals and negotiated contracts are invisible here. The gap widens with company size.
21% of raw price values were junk. Our filter is a reproducible rule, not a curation, so it will have discarded some real low prices along with the noise.
Classification is AI-generated. Price tier, pricing model and the micro SaaS flag are model outputs, accurate in aggregate and occasionally wrong on an individual company.
One company, one model. Real companies run several models at once; the classification picks a dominant one.
Stripe directory selection bias. These are companies that both use Stripe and appear in its public listings, which skews toward digital, self-serve and English-language businesses.
No time series. This is a September 2026 snapshot. It cannot tell you whether prices are rising.
Every figure here is a query away. Filter the Stripe Index to your category, read the price tier and pricing model distribution, then cross-reference against the complaint corpus to see what the incumbents’ customers are actually angry about paying for.
Start at the Stripe Index database, companies using Stripe, or discover. The revenue intelligence guide and complaint analysis platform guide walk through it, and the MCP server exposes the same data inside an AI assistant.
Filter 29,000+ companies by category, price tier and pricing model, then cross-reference against 1M+ documented complaints and real revenue data.
Start searching →The median price point among micro SaaS products is $25, with a quartile range of $10 to $97. That is roughly half the $49 median across all 29,000+ companies analysed. If your instinct was $29 or $49, you are at or above the middle of the micro SaaS market, not below it.
Across 39,000+ usable price points, the median is $49. The 25th percentile is $15, the 75th is $199, the 90th is $505. Use medians; a few four-figure prices ruin the mean.
Probably not by default. Only 2.1% of companies with a known pricing model run freemium, and 82% offer neither a free tier nor a trial. Freemium is over-represented among micro SaaS but remains a minority strategy.
Subscription is more common (42.9% vs 19.8%) but one-time lists higher, $75 median against $47. The deciding factor in the data is category: ecommerce tools are 59.4% one-time, subscription-management tools are 90.2% subscription.
Anchor on the time the manual alternative consumes, not on what comparable software charges. A free incumbent has no vendor and no champion, so the barrier is habit, and habit is beaten by a visible hourly saving.
Because price tracks build difficulty. Average buildability runs 5.11 (free), 5.08 (low), 4.39 (mid), 3.66 (high), 3.18 (enterprise). Easily built products get priced like easily built products.
About 16% have a free trial and about 5% have freemium. 82% offer neither.
Strongly. Companies with both freemium and a trial are 21.7% micro SaaS versus 5.2% for companies with neither.
Subscription at 42.9%, then one-time 19.8%, quote 19.0%, transaction fee 13.4%, usage 2.9%, freemium 2.1%.
Not here. Usage-based is 2.9% of known models, about a seventh as common as one-time. It is prominent in discussion and rare in practice.
Crowding has already pushed the category down, so undercutting a depressed price buys a worse business. Price against the alternative your buyer uses today, which is often a spreadsheet.
Nonprofit fundraising (76.8% low tier), creator monetisation (65.1%), membership communities (55.3%).
The data cannot answer that for your product, but it can place you. Micro SaaS under $10 is below the 25th percentile of its own segment.
Because enterprise pricing is not published. What gets captured is a starting price or add-on, not contract value. It is a measurement artifact, and a reminder that listed and realised prices diverge most at the top.
Partially. About 21% of raw values were junk, mostly currency symbols from page text, filtered by discarding anything at or below $3. The remaining 39,000+ are usable in aggregate; no single figure is authoritative.
Not reliably. Median MRR collapses toward zero across the long tail of tracked startups. A price is a hypothesis about willingness to pay, not evidence of it.
BigIdeasDB indexes the Stripe Index alongside complaint and revenue data. Start at the Stripe Index database or discover. Further reading: SaaS pricing strategies, micro SaaS examples, the best micro SaaS ideas, the micro SaaS competition map, solo developer revenue examples, micro SaaS ideas from Stripe data, Stripe Index user stories, how fast SaaS startups actually grow, SaaS valuation multiples, profit multiples by category, MRR tracking tools, low competition SaaS ideas, the most profitable SaaS niches, simple SaaS ideas for solo developers, launching a micro SaaS in a weekend, the micro SaaS build guide, and how to find SaaS ideas.
BigIdeasDB Research. (2026). What Micro SaaS Actually Charges (39,000+ Price Points). BigIdeasDB. Retrieved from https://bigideasdb.com/what-micro-saas-actually-charges