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There’s this overwhelming urge in the early stages of your company to prove your idea. You want to validate that you’re not just completely wasting your time. There are some really simple ways to do that validation (will anyone give you money? is your churn rate <5%?, etc). Then there are slightly more formal methods.
One of the methods that a lot of startups look to for validation is “product/market fit”, and in this article we’ll take a look at what product/market fit is, how to find out if you have product/market fit, how to get product/market fit if you don’t have it, and some tools and resources to help along the way!
As a caveat, I don’t think survey methods, in and of themselves, are all that special, but I think the process of doing them, and sifting through the responses, can surface a lot of interesting and actionable data. For instance, we use NPS surveys for gauging customer satisfaction. I don’t particularly care about the actual score itself, but more the individual responses.
At any rate, let’s jump in!
What is product/market fit?
Marc Andreessen coined the term, saying…
“Product/market fit means being in a good market with a product that can satisfy that market.”
“Good” meaning that the market size is large enough to sustain a business. It doesn’t necessarily mean the market is massive, but certain niches simply don’t have a “market” regardless of how much you might want there to be one (i.e. Palm OS app for tracking your Furby collection).
Practically, product/market fit just means you have a product that the market really loves and can’t live without. This is important because if a market can’t live without your product, you’re in a very strong position to grow. And if you’re in a large market, you’re in a very strong position to grow…a lot.
How to find out if you have product/market fit
Figuring out if you have product/market fit is as simplte as sending out a survey, but as a basic rule of surveying, getting at least a 100 responses will go a long way towards statistical significance. This isn’t a survey you send out to your first 10 customer (you need to be talking to each of them individually). This is something you send once you’ve got 100+ customers (and ideally much more).
At the core of a product/market fit survey is a single question:
“How would you feel if you could no longer use this product?”
With three potential answers:
1. Very disappointed
2. Somewhat disappointed
3. Not disappointed (it really isn’t that useful)
If at least 40% of your respondents answer “very disappointed”, then that is a strong indicator of product/market fit.
That’s an overly simplistic way to measure it, but I also think spending too much time trying to label yourself as having achieved product/market fit can also be a little futile and doesn’t, on its own, actually improve your business.
What’s more important here is the process. Sure, you could just ask that one question, run the survey and define your business based on that single number. Or, you could take the opportunity to ask a few other questions to get better context about why someone answered the way they did! Data is only as useful as the context in which it is gathered and presented.
How to run a product/market fit survey
Let’s take a look at, step-by-step, how to run a product/market fit survey.
Build your list
You should only send this survey to current customers. Preferably ones who have stuck around for at least a few months. If you have both free and paying customers, you should only send to the paying customers as they’re the ones who actually affect your business.
Ideally your list is over 100 customers. The more, the merrier.
Build your survey
To get the most actionable insights from your survey, here are the questions you should ask (we’ll use Baremetrics as the example company).
1. How did you discover Baremetrics? (multiple choice)
- Blog
- Friend or colleague
- Search engine
- Other
You are trying to understand how all of your current customers are finding you. This will also help you segment the responses later on to figure out where your most qualified customers are coming from.
2. How would you feel if you could no longer use Baremetrics? (multiple choice)
- Very disappointed
- Somewhat disappointed
- Not disappointed (it really isn’t that useful)
- N/A – I no longer use Baremetrics
This is the core question we’ve already talked about, with the addition of one option (N/A). You’re only including the N/A option so you definitively filter out responses from inactive customers.
3. Please help us understand why you selected that answer. (text area)
If they selected, for example, “Not disappointed” then you certainly want to know why they selected it. These answers are extremely insightful because they’ll point to weak spots in your product.
4. What would you likely use as an alternative if Baremetrics were no longer available? (multiple choice)
- I probably wouldn’t use an alternative
- I would use: ____________
I think most startups pay far too much attention to competitors, but if you find that a sizable portion of your customers have a competitor at the top of their mind, it’s likely because they’ve been researching. This is a great opportunity to find out exactly why they’ve been looking around for another solution.
5. What is the primary benefit that you have received from Baremetrics? (text area)
This helps you surface the main reasons customers use your product and basically writes your marketing copy for you (since you should be selling benefits, not features).
6. Have you recommended Baremetrics to anyone? (multiple choice + text area)
- No
- Yes (Please explain how you described it)
Similar to the previous question, it helps surface what your customers find most valuable about your product as well as the language they use, which you can then work into your own marketing.
Analyzing your responses
You’ve run your survey and have a whole pile of responses! Now what?!?!
The primary segmentation of responses should be done on answers to the “How would you feel if you could no longer use Baremetrics?” question. You want to find the commonalities among each of those groups of people.
Not disappointed
If the majority of customers would not be disappointed if they could no longer use your product, you’ve got a problem, and not one you can ignore. Customers do not care about your product, and when you’re building a business on your product…that’s a significant problem.
Dig through all the responses, try to find out why they don’t care. Also, look at the people who said “very disappointed” or “somewhat disappointed” and see if their responses can give some guidance on how to overhaul your product.
You’ve got a lot of work to do here.
Somewhat disappointed
When the majority say “somewhat disappointed,” you’re close! Spend a lot of time segmenting the responses based on the other questions to specifically identify the customers that said “somewhat” versus “very” and compare them.
Learn what the difference is between those segments, spend time talking to those customers and make a game plan for improving the product.
Very disappointed
If the majority say they would be “very disappointed”, then congrats! You’ve got product/market fit! You are likely about to or already have started to experience some solid growth.
Spend time optimizing marketing messaging based on the responses to the other questions in the survey. Don’t hold back on resources (money, time, etc) that fuel growth.
If you’ve ever thought about raising money, this is a prime time to do it as investor cash can be fantastic when used to fuel an already burning growth fire (I feel like I should hashtag #growthhack that phrase).
Does Baremetrics have product/market fit?
Back in April, we ran this very survey. In total, we got 138 responses. Here are our results.

- Very disappointed: 32%
- Somewhat disappointed: 58%
- Not disappointed: 11%
We’re pretty close! Given how early we are in the life of our company, and how much we’re expanding in the coming months, I’m happy with this. Certainly room to improve, but I think it’s a solid spot to be in.
The feedback we received in the open-ended text fields has driven a lot of upcoming product features and improvements.
Tools, resources & additional reading for product/market fit
Now that you know how to run a product/market fit survey, here are some others tools, resources and articles to help out!
- Quora answers to How do you define Product-Market fit?
- The Illusion of Product/Market Fit for SaaS Companies
- The Never Ending Road To Product Market Fit
- Building Product After “Product-Market Fit”
- Product/Market Fit survey for Slack
- Survey.io — Tool built specifically for sending these surveys.
Thank you to Hiten Shah, who’s talk at MicroConf really got me thinking and researching this as a method of product feedback.
Frequently Asked Questions
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What is product/market fit and why does it matter for SaaS founders?
Product/market fit means you have a product a specific market genuinely needs, cannot easily replace, and would be disappointed to lose.
The term was coined by Marc Andreessen and defined as being in a good market with a product that satisfies that market. For B2B SaaS founders, this is the difference between fighting for every renewal and watching net revenue retention climb on its own. A product with strong PMF tends to show measurable signals across subscription metrics: low voluntary churn, rising expansion MRR, and organic referrals. Before scaling spend or raising capital, confirming product/market fit is one of the most important steps you can take. Spending on acquisition before you have it just accelerates churn, not growth. -
How do you measure product/market fit for a subscription business?
The most direct way to measure product/market fit for a subscription business is a survey asking customers how disappointed they would be if they could no longer use your product.
If 40% or more of respondents say they would be very disappointed, that is a strong indicator of PMF. For SaaS companies, this survey should only go to paying customers who have been active for at least a few months. Free users and inactive accounts will skew your results. Pair the core question with open-ended follow-ups asking about primary benefits received and likely alternatives, so you get context alongside the score. The qualitative responses are often more actionable than the percentage itself, surfacing weak spots in the product and language for your marketing copy. -
What subscription metrics signal that your SaaS startup has achieved product/market fit?
Key subscription metrics that signal product/market fit include a monthly churn rate below 5%, growing net MRR, and increasing customer lifetime value without a proportional rise in acquisition spend.
Beyond the PMF survey score, your billing data tells a parallel story. Look for:- Voluntary churn falling consistently month over month
- Expansion MRR growing as customers upgrade without heavy sales effort
- New MRR coming from referrals rather than paid channels alone
- LTV increasing relative to customer acquisition cost
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How can I benchmark my SaaS churn rate to know if it reflects strong product/market fit?
You can benchmark your SaaS churn rate against industry peers using open data from hundreds of subscription companies to understand whether your retention is a PMF signal or a warning sign.
A monthly churn rate below 5% is often cited as a basic indicator that customers find enough value to stay. But averages vary widely by price point, billing interval, and customer segment. Baremetrics publishes open benchmark data drawn from real SaaS companies, so you can compare your churn rate against businesses at a similar MRR range rather than relying on generic industry figures. If your churn is above the benchmark for your cohort, that is a prompt to revisit whether the right customer segments are finding genuine value in the product. -
How do you use product/market fit survey results to reduce churn and improve retention?
Product/market fit survey responses directly identify which customer segments are at risk of churning and which product gaps are driving their dissatisfaction.
Segment your survey responses by the core PMF question. Customers who answered somewhat disappointed are your highest-priority retention cohort. Compare what they say against what your very disappointed respondents say to find the specific feature gaps or use-case mismatches pushing them toward the exit. Once you identify those gaps, track whether closing them moves your churn metrics. In Baremetrics, you can monitor churn by customer segment over time to measure whether product changes are translating into improved retention across the user groups you targeted. -
What platforms offer automated failed payment recovery to protect MRR during early growth stages?
Baremetrics Recover automatically retries failed payments and sends targeted dunning emails to reduce involuntary churn caused by card declines and expired billing details.
For subscription businesses in the $10K to $10M MRR range, involuntary churn from failed payments is one of the most common and most preventable revenue leaks. Many founders in the early growth stage focus entirely on acquiring new MRR while losing a quiet percentage of existing revenue to billing failures. Recover sits on top of your existing Stripe data with no additional setup, identifies failed charges, and works to recover that revenue automatically. Protecting MRR this way costs far less than replacing it with new subscriber acquisition. -
Should you raise venture capital before or after achieving product/market fit?
Raising venture capital after achieving product/market fit is significantly more effective because investor capital accelerates growth that is already happening, rather than funding a search for it.
If your PMF survey shows 40% or more of customers would be very disappointed to lose your product, and your subscription metrics show declining churn alongside rising expansion MRR, you have the evidence investors want to see. Capital deployed at that stage fuels acquisition and retention for a product customers already value. Raising before PMF tends to extend the search while burning runway. Before approaching investors, make sure your MRR growth, churn rate, and LTV figures are clean and auditable. Baremetrics gives you a shareable, real-time dashboard of those metrics that requires no manual preparation.
