Users but no paying customers: why it happens and what 3,700+ earning startups show
Every founder forum has this thread: hundreds of signups, zero payments. The advice is almost always about the funnel. We checked what customers actually pay, by audience, in verified revenue data.
The short answer
If you have users but no paying customers, the most likely cause is who your users are, not your funnel. In BigIdeasDB TrustMRR data on 3,700+ startups with verified revenue, the median consumer (B2C) product earns $9.0 a month per paying subscriber and the median business (B2B) product earns $28.6. Only 3.5% of B2C products reach $10,000 in monthly recurring revenue (MRR), against 7.7% of B2B products. Check four things in this order: can your users pay, does the free plan already do the whole job, does checkout work, and is the pain strong enough that people already spend money on it.
At the median price, $10,000 MRR takes about 1,100 paying subscribers in B2C and about 350 in B2B. A consumer audience is not impossible to monetize. It needs three times the payers, or a higher price, or a different person paying the bill.
This page is for founders who have users and zero revenue. If you have no users at all, that is a different problem; start with built a product nobody wants. Here we use TrustMRR revenue, App Store reviews and Reddit complaints, part of a 1M+ complaint corpus, to show what paying customers look like and how to find them.
What founders say when 900 signups pay nothing
Search the phrase and Google’s first result is a forum thread called “Why does everyone in this sub have users but no paying customers?”. Behind it sit a social post and a few short founder essays. From their snippets, the advice is to talk to users and not to treat free users as customers. None of them shows what paying customers in your audience typically pay, and that number decides most of what follows. The related searches also mix in a different problem, clients who do not pay an invoice. This page is about users who never start paying.
The same question runs through four recent threads. An r/SideProject post titled “i spent 7-8 months building for an audience that had no money. 10k visitors, 900 signups, 0 paying” drew 96 comments. An r/SaaS thread, “500 users, 0 revenue... What am I doing wrong?”, drew 59. An r/microsaas thread asked how to monetize an app everyone likes but no one will pay for. Another r/SaaS post reported that 800 users taught the author that signups mean almost nothing.
The answers split into two camps. The funnel camp says check your checkout, tighten the free plan, ask users why they left. It is right and cheap, and we turn it into steps below. The payer camp says the users never had budget. That camp is smaller and gets less advice, and it is the one our data speaks to.
“You can’t just think of the problem you solve and would people pay for it. You have to also think would my target market have the money to pay for it at all.”comment in an r/SideProject thread, 96 comments
“Every automation I’ve ever sold easily was to someone who was actively losing money or time on the problem right now. Every one I had to convince someone to buy went nowhere.”comment in an r/SaaS thread on users without paying customers
“If they say “yeah that would be nice to have” that’s a free tier user forever.”comment in the same r/SaaS thread
Two threads add a variation worth keeping in mind. In the 800-user thread, several replies pointed out the product served job seekers, who have little spare cash and a short need. In the r/microsaas thread, a commenter put it as “the money on these is almost always the supply side, the venues and organizers who want their event surfaced in your map. they have a budget for reach, your users don’t.” Both say the same thing: sometimes the user is not the buyer.
The four reasons users do not pay, and a test for each
Most cases fall into one of four causes. They are quick to test, and the tests cost almost nothing, so run all four before you rebuild anything. The thresholds in the last column are our rule of thumb for deciding what to do, not statistics from the dataset.
| Cause | What it looks like | Test | Decision rule |
|---|---|---|---|
| Your users cannot or will not pay | Many signups, almost nobody reaches checkout. Users are students, job seekers, hobbyists or teens. | Compare the typical price in your audience (table above). Ask 10 users what they already pay for anything similar. | Nothing paid today for a similar fix: change who pays, not the funnel. |
| The free plan does the whole job | People use it often and never hit a limit. | Find the share of free users who reach any limit. Read your free plan as if you were a rival. | If most never reach a limit, the upgrade has no trigger. |
| Checkout or the paywall is broken | Some users reach the payment screen and leave. | Buy your own plan on a new account, on mobile and desktop. Try restore, failed card and annual plans. | Any failure is the first fix. It is the cheapest. |
| The pain is mild | Compliments, signups, no return visit. | Ask: when did this last cost you time or money, and what do you pay now. | No spend and no story means a nice-to-have. |
Causes 2 and 3 are the ones commenters reach for first, and for good reason. In the 500-user thread, one reply noted that reaching checkout means the person wanted it, so the problem sits at the moment of paying. Another told the author to create an account and go through the whole purchase, because a stupid bug can end the sale. A third pointed at a generous free allowance: if free is good enough, there is no reason to ever upgrade, and “the funnel is working exactly as designed against you.”
A less obvious version of cause 3 came from a commenter with payments design experience: many users “literally didn’t know the platform switched from free to paid.” If your product moved from free to paid, tell users in the product, then walk them through paying.
Cause 1 is the one forums under-weight, because it is harder to fix. The next sections measure it.
Who pays: consumer and business revenue per subscriber
We took every startup in TrustMRR with monthly revenue above $0 (3,700+ startups) and divided monthly recurring revenue by active subscriptions. That gives the typical monthly revenue each paying customer brings in, by the audience the founder selected. B2C means the product is sold to consumers, B2B to businesses.
| Audience | Earning startups (n) | Median revenue per subscriber | Quartiles (p25 to p75) | Under $10 per subscriber | $50+ per subscriber | At $1,000+ MRR | At $10,000+ MRR |
|---|---|---|---|---|---|---|---|
| B2C | 1,750 | $9.0 | $4.5 to $17.6 | 55.0% | 4.4% | 16.8% | 3.5% |
| B2B | 1,071 | $28.6 | $13.4 to $69.1 | 17.0% | 30.2% | 26.6% | 7.7% |
| Both | 210 | $12.9 | $8.7 to $25.0 | 35.7% | 8.1% | 23.8% | 3.3% |
| Unlabelled | 756 | $14.4 | $6.7 to $36.8 | 37.4% | 17.8% | 35.2% | 10.4% |
A B2B subscriber is worth 3.2 times a B2C subscriber at the median ($28.6 against $9.0). More than half of B2C products (55.0%) earn under $10 per subscriber, against 17.0% of B2B. At the top, 30.2% of B2B products earn $50 or more per subscriber, and 4.4% of B2C products do. B2B products reach $1,000 MRR 26.6% of the time against 16.8% for B2C, and $10,000 MRR 7.7% against 3.5%.
Two caveats shape how to read this. First, B2C does not fail at getting payers: the median B2C earner has 10 paying subscribers and the median B2B earner has 5, and 16.1% of B2C earners have 100+ subscribers against 9.9% of B2B. B2C gets more payers and gets paid less per head. Second, the “Both” and unlabelled groups sit between the two, which is what you would expect from a blend.
It is the audience, not the category
A fair objection: consumer products cluster in cheap categories, so the gap could be about category, not buyer. We checked by splitting the same category by audience. In every category where both sides have 30+ earning startups with subscription counts, B2B revenue per subscriber is higher, by 1.9 to 3.3 times.
| Category | B2C (n) | B2C per subscriber | B2B (n) | B2B per subscriber | B2B premium | At $10K+ MRR, B2C vs B2B |
|---|---|---|---|---|---|---|
| Artificial Intelligence | 404 | $12.4 | 310 | $32.2 | 2.6x | 3.5% vs 7.1% |
| SaaS | 109 | $15.0 | 155 | $28.8 | 1.9x | 4.6% vs 7.1% |
| Productivity | 131 | $5.0 | 42 | $16.5 | 3.3x | 1.5% vs 2.4% |
| Content Creation | 90 | $11.8 | 38 | $24.7 | 2.1x | 4.4% vs 5.3% |
| Marketing | 35 | $15.6 | 138 | $45.3 | 2.9x | 2.9% vs 12.3% |
Productivity is the sharpest case: $5.0 per consumer subscriber against $16.5 per business one. Marketing is the most lopsided at the top, where 12.3% of B2B products reach $10,000 MRR and 2.9% of B2C do, though the B2C base there is thin (35). Content creation shows the smallest gap in the $10K share (4.4% against 5.3%), so the effect is not equally strong everywhere. It points one way in all five.
For a founder with free users and no revenue, the reading is practical. If your users are individuals, expect a lower ceiling per person, price toward the top of the consumer range, and consider whether a business near those users would pay for the same outcome.
Revenue per subscriber by category
Category shifts the number as well. We ranked every TrustMRR category with 30+ earning startups that report subscription counts. The bottom is dominated by consumer-facing categories, the top by tools sold to businesses that make money from the output.
| Category | Startups (n) | Median revenue per subscriber | B2C share | At $10K+ MRR |
|---|---|---|---|---|
| Entertainment | 51 | $5.0 | 76% | 7.8% |
| Health & Fitness | 169 | $5.0 | 81% | 3.6% |
| Utilities | 62 | $5.5 | 71% | 0.0% |
| Mobile Apps | 282 | $5.9 | 75% | 5.3% |
| Productivity | 214 | $7.0 | 61% | 1.4% |
| Education | 170 | $8.7 | 74% | 5.9% |
| Design Tools | 77 | $10.5 | 48% | 5.2% |
| Fintech | 96 | $10.5 | 56% | 7.3% |
| Social Media | 77 | $12.0 | 56% | 6.5% |
| Developer Tools | 164 | $12.3 | 15% | 2.4% |
| Content Creation | 168 | $15.8 | 54% | 5.4% |
| Recruiting & HR | 42 | $15.8 | 52% | 4.8% |
| Analytics | 87 | $18.0 | 24% | 9.2% |
| Artificial Intelligence | 931 | $18.6 | 43% | 5.9% |
| SaaS | 352 | $21.0 | 31% | 6.5% |
| Real Estate | 34 | $21.3 | 41% | 5.9% |
| E-commerce | 55 | $26.0 | 38% | 9.1% |
| Marketing | 213 | $30.9 | 16% | 10.3% |
| Sales | 38 | $75.5 | 3% | 15.8% |
Entertainment and Health & Fitness are tied at the bottom with $5.0 per subscriber, and 81% of Health & Fitness startups are B2C. Utilities has $5.5 and no startup at $10,000 MRR in 62. Mobile Apps and Productivity follow. At the other end, Marketing earns $30.9 per subscriber, and Sales earns $75.5 (n = 38, 3% B2C), with 15.8% at $10,000 MRR. Sales is a small base, so read it as direction.
Cheap categories are not doomed. Entertainment has the same $5.0 median and a 7.8% share at $10,000 MRR, one of the higher shares in the table. Some low-price categories reach the top through volume. But if your free users sit in a category at $5 to $9 per subscriber, the arithmetic in the next section is the real constraint.
How many paying subscribers you need at each price
Divide the revenue target by what one subscriber pays. At the bottom quartile, median and top quartile of each audience:
| Audience | Price per subscriber (p25 / median / p75) | Subscribers for $10K MRR (p25 / median / p75) | Subscribers for $1K MRR (median) |
|---|---|---|---|
| B2C | $4.5 / $9.0 / $17.6 | 2,200 / 1,100 / 570 | 112 |
| B2B | $13.4 / $28.6 / $69.1 | 740 / 350 / 140 | 35 |
For a founder with 500 free users and zero revenue, the useful number is the last column: about 112 paying B2C subscribers at the median price brings in $1,000 a month, and about 35 B2B subscribers does. A 500-user free base would need about 22% of its users to pay to get there. Our data does not contain free-user counts, so we cannot give you a conversion benchmark and will not invent one.
The same arithmetic is why we compare audiences before we compare funnels. Doubling your conversion rate matters less than doubling the price per subscriber or finding the segment that already pays more. For the milestone view of this arithmetic, see first $1K MRR for a micro SaaS side project.
What the consumer products that reached $10K do differently
The 59 B2C startups at $10,000+ MRR that report subscription counts are the exception, and they show where the exception comes from.
| Group | Startups (n) | Median revenue per subscriber | Median subscribers | Median MRR |
|---|---|---|---|---|
| B2C at $10K+ MRR | 59 | $21.6 | 960 | $18,457 |
| B2B at $10K+ MRR | 82 | $132.8 | 223 | $21,860 |
The B2C winners charge a median $21.6 per subscriber, 2.4 times the B2C median of $9.0, and run on a median 960 subscribers. B2B winners reach a similar MRR with 223 subscribers at $132.8 each. Two routes to $10,000: a consumer product that charges like a professional tool, or a business product with few, high-paying accounts. The cheap, mass consumer route is the one that most often stalls at zero.
This is a correlation, and part of it is selection. Products that charge more may serve people who already had a budget, which is the point. It does suggest that raising the price is a more plausible fix for a consumer product than adding a feature. We cover price tests in SaaS pricing strategies, and the churn side in why SaaS customers churn.
How to spot buyers: people who already pay for a worse fix
The comments that got the most agreement shared one idea: the best lead is someone already paying for a bad solution. We checked how often that shows up in complaint data, and how often people state a price or intent to pay.
| Source | What we counted | Matches | Share | Limitation |
|---|---|---|---|---|
| App Store reviews, 3 stars or lower | Author says they already paid, with a price, plan or premium named | 1,300+ of 99,000+ | 1.4% | Keyword match; says paid, not that they would pay again |
| App Store reviews, 3 stars or lower | Author says they would pay, or are willing to pay, conditionally | 380+ of 99,000+ | 0.4% | Keyword match; stated intent, no payment shown |
| App Store reviews, 3 stars or lower | Complains about a paywall or being forced to pay | 2,700+ of 99,000+ | 2.8% | Mixes bugs, price shock and trial confusion |
| Reddit pain points | Describes a manual workaround, spreadsheet or copy and paste | 170+ of 2,400+ | 7.2% | Workaround is a signal of effort, not of budget |
| Reddit pain points | Mentions a price, a subscription or paying someone | 39 of 2,400+ | 1.6% | Rare; small base, keyword match |
| Reddit pain points | Explicitly says they would pay or asks for a tool | 16 of 2,400+ | 0.7% | Rare; small base, keyword match |
Pain is plentiful and payment is rare. Only 0.7% of the Reddit pain points explicitly say the author would pay or asks for a tool, and 1.6% mention a price or a subscription. But 7.2% describe a manual workaround, the effort signal commenters called the tell. In low-rated App Store reviews, authors who say they already paid (about 1.4%) outnumber authors who say they would pay if something changed (about 0.4%) by more than three to one. People who describe a payment are describing a buyer.
“I paid for permanent “Premium” for it to be replaced and disappear as if I didn’t pay for it. I’m not mad that they changed their subscription model but atleast honor those who paid for the permanent premium beforehand.”App Store review, 1 star
That reviewer is a customer with a fixable complaint. A reviewer who writes a compliment on a free app is a user. In the software review data, the same logic shows up as switching: 91,900+ reviewer statements about moving from one tool to another, across 13,000+ products. Each is someone who paid, left and picked again. Reading those complaints by category is the fastest way to find a buyer and learn what they pay. Start in complaints and the software review research, and see the guide to finding customers on Reddit for the phrases buyers use.
What to do this week: seven steps
Order matters. The first three cost nothing and take an afternoon. The fourth costs a few conversations and tells you more than the rest.
- Split your users by who they are. Group signups by role, company size and whether they used a work or personal email. The number you want is how many could expense the product, not the total. A list of 900 signups that is 95% students is a different business from 90 signups at working companies.
- Buy your own product. Create a fresh account and pay on mobile and desktop. Test restore purchases, a declined card and the annual plan. Any failure goes to the top of the list because it is the cheapest fix.
- Audit the free plan. Write down what a free user can finish without paying. If the answer is everything, pick the one outcome that saves a business money or time, and put that behind the paywall. Show the paid version at the moment a free user hits a limit.
- Ask 10 active users for money this week. Active means they used it twice in seven days. Give a price and a start date. A deposit, a signed pilot or a card on file counts; a compliment or a waitlist signup does not. One commenter described telling 10 people “I can build this in 6 weeks, here’s what it costs” and getting 3 deposits, which “killed the ambiguity pretty fast.” Our customer discovery questions cover what to ask.
- Message the people who left at the paywall. Write to everyone who reached checkout or hit a limit and stopped. One question: what stopped you. These are your best leads, and they already want it.
- Test a higher price. The consumer products that reached $10,000 a month charge a median $21.6 per subscriber against $9.0 for the typical consumer product. Offer an annual plan at the higher price to a small group and compare against the old price.
- Find the payer around your user, and set a kill rule. Name who has budget near your user: an employer, a venue, a school, an agency. Then write down a date and a number of deposits below which you change the buyer instead of the funnel. Write it down before you look at the results.
If you want a faster read on who pays in your market before you ask, run it through BigIdeasDB discover: it checks your niche against 1M+ complaints and verified revenue. For the longer validation process, see the idea validation framework and how to validate a startup idea. To get your first paying customers once you have chosen a payer, see how to get your first customer and how to get your first 100 SaaS users.
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Pro opens the data behind this page: TrustMRR revenue for 3,700+ earning startups, 1M+ complaints, and reviewers who already pay for a weaker tool. Check what your audience pays per subscriber and who the real buyer is before you rebuild a funnel. One payment, lifetime access. Start with TrustMRR or browse pain points.
Get Pro Lifetime →When to change who pays instead of fixing the funnel
Funnel fixes help when people want the product and something blocks payment. They do not help when the audience has no budget. Three signs point to the second case:
- Nobody reaches checkout. If your payment page is visited by almost none of your active users, price and funnel are not the constraint. The need is.
- Your users are in a low-budget group. Students, job seekers and hobbyists use free tools by habit. One commenter on the 800-user thread said it plainly: sell to employers before rebuilding the frontend.
- The value goes to someone else. Venues gain from event-goers, schools from teachers, managers from employees. If the person who benefits is not the person using it, sell to the person who benefits.
Moving up from consumers to the business around them has costs. B2B products in our data have fewer subscribers (median 5), which means each account matters and sales take longer. The data shows the revenue per payer and the odds of reaching $10,000 are better. It does not show that a switch is easy. Test it with a paid pilot with 3 to 5 buyers before you rebuild anything. For ideas that start from a business buyer, see B2B SaaS ideas and what software to build to make money.
If your problem is the opposite and competitors already earn in your space, the answer is a different one; see someone already built my idea.
What this cannot tell you
- No free-user or conversion data. TrustMRR has revenue and subscription counts, not signups or visitors. We show what payers pay, not what share of free users become payers.
- Survivors only. Startups with revenue appear. The ones with 900 signups and zero payments are the ones you are trying to understand, and they are not in a revenue dataset.
- Self-selected set. TrustMRR lists founders who connected a payment provider. It over-represents small, young, indie products.
- Audience is a label. B2C and B2B come from a field set per product. 756 earning startups have no label, and we report them separately.
- Revenue per subscriber is a blend. It averages tiers and plan lengths, and excludes one-time sales, so one-time purchase products are under-represented.
- Correlation, not cause. The B2B premium holds inside five categories, but we cannot prove that moving to B2B raises revenue for a given product.
- Complaint counts are keyword matches. They show how often people mention paying, not how many would. The Reddit base is small (2,400+), and App Store authors skew unhappy.
- Forum quotes are opinions. They illustrate the two camps; they are not evidence about conversion.
Methodology and sources
Revenue per subscriber is TrustMRR monthly recurring revenue in US dollars divided by active subscriptions, for startups with revenue above $0. Medians and quartiles come from read-only SQL on October 22, 2026. Categories need 30+ startups to appear, and audience-by-category cells need 30+ in each group. Complaint counts use case-insensitive keyword patterns on the text fields, rounded to the nearest hundred with a trailing +.
| Source | What we used | Size | Limitation |
|---|---|---|---|
| BigIdeasDB TrustMRR, audience split | Revenue per subscriber, MRR thresholds, subscribers needed | 3,700+ earning startups | Self-connected founders; audience label set per product; blended tiers; no free-user counts |
| BigIdeasDB TrustMRR, same-category split | B2C vs B2B median per subscriber in five categories | 1,400+ startups in 5 categories | Marketing B2C base is 35; category labels are broad |
| BigIdeasDB TrustMRR, categories | Median revenue per subscriber, B2C share, $10K+ share | 19 categories with 30+ startups | Only startups reporting subscription counts; Sales is 38 |
| BigIdeasDB App Store reviews | Reviews rated 3 stars or lower that say the author paid, would pay or hit a paywall | 99,000+ reviews | Keyword matches; unhappy authors over-sampled; not a measure of satisfaction |
| BigIdeasDB Reddit pain points | Workaround, price and would-pay language | 2,400+ posts | Small base; keyword matches; subreddit mix skews to founders |
| BigIdeasDB software review switching data | Reviewer statements about switching from a rival | 91,900+ statements, 13,000+ products | Self-reported; shows leaving, not price paid |
| Search results and related questions | What ranks for the head query; related phrasing for headings and FAQ | 1 query, US market | One day; snippets only for pages behind the first result |
| Public forum threads | Anonymized comments from five threads in r/SaaS, r/SideProject and r/microsaas | 5 threads | Opinion, not data; no usernames kept |
Frequently asked questions
Why do I have users but no paying customers?
Usually because of who the users are, not the funnel. In BigIdeasDB TrustMRR data on 3,700+ startups with verified revenue, the median consumer product earns $9.0 a month per paying subscriber and the median business product $28.6. Check four things in order: can your users pay, does the free plan do the whole job, does checkout work, and is the pain strong enough that people already spend money on it.
Is 500 users with 0 paying customers a bad sign?
Not by itself, but it is enough data to act on. Half of consumer products that earn anything (50.4%) have 10 or fewer paying subscribers, and 62.7% of business products do. Your 500 users can answer the questions directly: message the ones who reached checkout, ask 10 active users to pay a named price, and test your own payment flow.
Why won't my free users convert to paid?
Three causes cover most cases. The free plan finishes the whole job, so there is no reason to upgrade. The paid tier's value is not visible at the moment of payment. Or the users are people who will not pay for anything like it. Test the free plan first: find the one outcome worth money and gate it, then check whether anyone in your audience pays for similar tools today.
Everyone likes my app but no one will pay. What do I do?
Treat liking as a free-tier signal, not a demand signal. Ask whether the app is a painkiller or a nice-to-have, using what users already spend on the problem. Then look for the payer near your users: an employer, venue or school often has the budget that individual consumers do not. Ask five of them for a named price this week and count deposits.
Should I switch from B2C to B2B if users will not pay?
The data supports testing it. Business products earn $28.6 per subscriber against $9.0 for consumer ones, and 7.7% reach $10,000 MRR against 3.5%. The pattern holds inside AI, SaaS, productivity, content and marketing categories. It is not a guarantee: business products also have fewer subscribers (median 5 against 10) and longer sales. Run a paid pilot before rebuilding.
How much should I charge so users actually pay?
In TrustMRR, the typical consumer subscription brings in $9.0 a month (quartiles $4.5 and $17.6) and the typical business one $28.6 (quartiles $13.4 and $69.1). Consumer products that reached $10,000 MRR charge a median $21.6. Price near the top quartile of your audience, add an annual plan, and test with 10 buyers before changing the page.
What's the best tool to find customers who will pay for your product?
BigIdeasDB is built for this. It combines TrustMRR verified revenue for 3,700+ earning startups with 1M+ complaints, so you can see who already pays for a similar product, what they pay per subscriber, and what they complain about after paying. Start with the complaint search and the revenue benchmarks before you build or reprice.
What's the best way to check that users will pay before I build?
Ask for money first. Tell 10 people the price and the date, and count deposits. To choose whom to ask, BigIdeasDB shows reviewers who already pay for a weaker tool across 1M+ complaints and the revenue per subscriber in that category. A complaint from someone paying today is a stronger lead than a feature wish from a free user.
BigIdeasDB Research. (2026). Users but no paying customers: why it happens and what 3,700+ earning startups show. BigIdeasDB. Retrieved from https://bigideasdb.com/users-but-no-paying-customers