Finding Product-Market Fit for SaaS

What product-market fit actually means

Product-market fit isn't a metric you can read off a dashboard. It's a shift in how customers behave around your product.

Allan Wille at Klipfolio describes it as the moment you stop pushing and start being pulled — when you no longer have to convince people to use your product, and they start coming to you. Todd Olson at Pendo saw it in usage data: customers weren't just logging in; they were embedding the product into their daily workflows in ways that made it impossible to remove. Clate Mask at Infusionsoft had the strangest signal of all — his customers were furious and demanding, because they'd come to rely on the product so heavily that they couldn't function without it.

Three different signals, one underlying pattern: behavior change. Visitors became users. Users became evangelists. Evangelists got upset when the product broke, because their workflow now depended on it.

The corollary: revenue alone doesn't prove fit. Plenty of SaaS companies have customers and still haven't found it.

5 signals you have product-market fit

These show up together. If you're seeing one or two but not the others, you're probably not there yet.

1. Retention curve flattens above zero. Users keep coming back month after month. Customer count doesn't decay — it compounds. The classic Sean Ellis test ("would you be very disappointed if this product disappeared?") returning 40%+ is the textbook indicator.

2. Customers complain when the product is down. Not in a casual way — in the "this is breaking my business" way. Clate Mask's Infusionsoft customers were the canonical version of this. If your support inbox lights up with anger when something breaks, you have something people depend on.

3. Word of mouth shows up in your acquisition data. New signups start citing referrals, recommendations, "saw it on Twitter," "my colleague uses this." You stop being the only person selling the product.

4. Sales cycles compress. Prospects move from cold outreach to closed in days, not months. The objections shift from "what is this?" to "how do we get this rolled out?"

5. You can raise prices and the right customers stay. Antonio Carlos Soares at RunRunIt raised prices 12x and discovered which customers actually valued the product — they paid happily; the wrong ones disappeared. Adam Markowitz at Drata raised early and reached $100M ARR before the company's fourth birthday — pricing power that only exists when the demand is real.

If you're seeing 4-5 of these, you have it. If you're seeing 1-2, you might be confusing traction with fit.

5 signs you don't have it yet (even if you have revenue)

The most expensive mistake in early-stage SaaS is mistaking traction for fit. Revenue can stay flat at the wrong altitude for years.

You've plateaued at low MRR. Rob Walling knew Drip didn't have it when MRR sat at $7,000 a month and refused to move. New signups balanced churned customers. Same revenue every month, no acceleration. He repositioned the product and the curve broke immediately.

You're selling to the wrong segment. Derek O'Carroll at Brightpearl had revenue and customers — but they were targeting the wrong customer segment. They had product without product-market fit, and growth stalled until they figured out who the product was actually for.

You spent a year building before showing it to anyone. Brandon Foo spent a full year building Paragon as a backend product nobody wanted. The fit only came after they pivoted to integrations — a use case the market actually pulled them toward.

Customers stay polite but never expand. Aseem Badshah at Socedo had $50/month customers who'd say nice things but never grew their accounts. He repositioned around a different use case and customers jumped to $1,000/month — same product, different framing, sudden expansion.

You've been pivoting and it's still not clicking. Max Kolysh pivoted Zinc three separate times over several years before hitting $5M ARR. Each pivot wasn't failure; it was the search continuing.

The throughline: revenue measures activity. Product-market fit shows up when activity becomes momentum.

A 4-step framework for finding product-market fit

This isn't theoretical — it's the pattern that shows up across the founders who actually got there.

Step 1: Validate before you build. Adam Markowitz at Drata sold the compliance product before writing any code — paid pilots with named buyers committed to the outcome. Marius Meiners does this without even pitching: he gets prospects describing their problem in their own words first, then mirrors the language back into the offer. The cheapest way to learn the product is wrong is to never write it. See: validate-before-building framework and validate-without-pitching playbook.

Step 2: Talk to customers, don't buy ads. Girish Redekar at Sprinto looked for customers who would jump through hoops — onboarding friction, manual data entry, awkward conversations — to use the product. Friction-tolerant customers are signal; friction-intolerant ones are noise. See: customers-jump-through-hoops PMF story and product risk vs. market risk framework.

Step 3: Be willing to pivot — really pivot. Pivots aren't iteration; they're tearing up the assumption layer. Max Kolysh's three pivots took years and were each substantial reframings. Brandon Foo abandoned a year of work because the integration use case had real demand and the original product didn't. The willingness to discard sunk cost is what separates founders who find fit from founders who don't.

Step 4: When the signals are real, focus — don't keep pivoting. This is the inverse trap. Ev Kontsevoy at Teleport calls it focus, not pivot — once you have a market segment that's pulling, the temptation to chase adjacent opportunities is what kills the fit you finally found. See: focus-not-pivot decision.

The hardest skill is reading which step you're in. Founders pivot when they should focus, and focus when they should pivot. The pattern across the interviews: ask whether your best customers are pulling. If yes, focus. If no, pivot.

The most common product-market fit mistakes

Building before validating. The most expensive variant of this mistake. Months of engineering work to discover the market doesn't want what you built. Every founder who's done it says the same thing: talking to customers earlier would have saved a year.

Targeting the wrong segment. You can have a great product for the wrong customer and call it a failure. Brightpearl's turnaround was a segment fix, not a product fix. The product worked; it was being sold to the wrong buyers.

Confusing polite interest with real demand. Friends will say nice things. Survey respondents will say nice things. Real demand looks like people pulling out their credit card or asking when they can start. If nobody's trying to give you money unprompted, you're hearing politeness, not demand.

Underpricing the customers who actually value the product. When the right customers happily pay 10x what you're charging, your low price is keeping you stuck with the wrong segment. RunRunIt's 12x price hike was a sorting mechanism: the wrong customers left, the right ones stayed.

Positioning too narrow OR too broad. Both kill fit. Narrow positioning fails when your TAM is too small to grow into. Broad positioning fails when nobody knows what you do. The right positioning is specific enough that the right customer recognizes themselves immediately.

Can you lose product-market fit after finding it?

Yes — and the signals look like the inverse of how you found it.

Gilles Bertaux at Livestorm lost product-market fit at $9M ARR. The market shifted (post-COVID, the urgency around remote events evaporated), competitors moved in, and what had felt like pull started feeling like push again. Retention dropped. Word of mouth dried up. Support tickets shifted from "help me use this" to "this used to work better." See: losing PMF playbook.

The recovery isn't always a rebuild — sometimes it's repositioning. The product that fit a market in one moment can fit a different market in the next, if you're willing to find that new market before competitors do.

What to do next

If you're earlier than $10K MRR and still validating: the Launch program is built for this exact stage. Twelve weeks of structured validation work, weekly calls, and access to a cohort of founders going through the same search.

If you're past $10K MRR and trying to scale through the next ceiling: the Mastermind is for founders in the $10K–$60K MRR range looking to grow without burning out.

Or just join the newsletter — one email a week with the patterns showing up across these interviews. No commitment, no pitch. The founders cited above all built lists like this before they had revenue, because real signal lives in your inbox, not your dashboard.