There’s a graveyard full of “great” products no one asked for.
In fact, 70% of SaaS startups fail within 20 months, and most of them don’t go under because of bad code—they fail because they built something cool instead of something crucial.
Enterprise SaaS companies teach us the hard truth: product-market fit isn’t a finish line—it’s a system.
It’s not just about finding the right customer; it’s about continuously evolving with them as markets shift, channels burn out, and needs change.
Working with an Enterprise SaaS Marketing Agency is about building a growth engine that keeps your product aligned with the people who actually need it, at scale.
So no, the product doesn’t sell itself.
But when product, user, model, and channel click into place?
It starts to feel like it does.
Start With the Market, Not the Mirror
(Because building in a vacuum leads straight to a very expensive “oops.”)
Here’s a brutal truth:
Your product doesn’t need to exist just because you’re excited about it.
Yet, that’s exactly how most founders start. They build a beautiful, feature-packed product while staring into the mirror of their own biases—then scramble to find someone who wants it. That’s not product-market fit. That’s wishful thinking in code.
Enterprise SaaS companies do it backward (aka the right way).
They start with the market first, study the problems that already exist, and then build a product to serve them like it was meant to be there all along.
This is the core of what Brian Balfour calls Market-Product Fit—and no, it’s not just a cute remix of the same term.
It changes everything.
“Build the market’s dream product, not your passion project.”
Segment’s $500K Faceplant (And the Pivot That Saved Them)
Let’s talk about Segment.
Before it was the $3.2B customer data platform juggernaut, it was ClassMetric—a real-time classroom analytics tool nobody asked for. Professors liked it in theory.
Students smiled in demo calls. Investors said, “Cool idea.”
But guess what?
Nobody used it.
No retention. No traction. Just expensive false positives and a lot of sunk time.
So they scrapped the entire thing.
Source: Segment
While cleaning up that mess, the team realized the internal analytics tool they built for themselves was the only thing people actually wanted. Boom—new product, new market, and suddenly they were solving a real pain point: data chaos in SaaS startups.
How to Build Like a Market-First Pro (Before You Burn $500K)
Here’s how to flip from “mirror mode” to market-first building, before you hire a dev or design a screen:
1. Get Obsessively Curious
- Spend 30 days doing zero product work. No mockups. No code.
- Just interview 20+ potential customers across your target segments.
- Ask things like:
- “What’s your biggest frustration in [X area]?”
- “What have you tried solving it with?”
- “Where does your current solution fall short?”
- “What would make your workflow 10x easier?”
- “What’s your biggest frustration in [X area]?”
- Don’t pitch. Just dig. Your job is to uncover pain with budget attached.
2. Map the Market Signals
Create a “Problem Signal Matrix”:
Problem | Frequency | Urgency | Budget Alignment | DIY Alternatives |
XYZ issue | High | High | Yes | Weak / None |
Look for patterns. Look for teeth-grinding problems—not “nice to haves.”
3. Build After the Market Screams Back
If your interviews start to feel like people are saying:
“Wait—if you built that, I’d buy it yesterday…”
That’s your green light.
The Sean Ellis Test Is Cool, But It’s Just the Beginning
The SaaS world treats it like gospel:
“How would you feel if you could no longer use this product?”
If 40% of users say “very disappointed,” you’ve reached product-market fit, right? Technically, yes.
But in reality, that’s just the trailer. The full movie begins the moment you ask what’s behind those answers.
Superhuman, one of the most referenced PMF case studies in recent memory, didn’t stop at the 40% metric.
That was the spark. What followed was a series of deliberate moves that turned a good email client into a cult product.
What Superhuman Actually Did Right
- They used the 40% “very disappointed” benchmark as a baseline, not a finish line.
- They broke down responses from different user types to find patterns—not all disappointment is created equal.
- They zoomed in on their most enthusiastic user segment—what they called High-Expectation Customers (HXCs)—and created a vivid persona: “Nicole,” a high-performing professional who craved speed, efficiency, and zero friction.
- Then they built their roadmap around her, using her as a compass for future features, UX decisions, and messaging.
Source: Superhuman
This wasn’t just a survey. It became a qualitative analytics system.
Sidekick’s PMF Score Engine: A System, Not a Snapshot
Sidekick took the same idea and industrialized it. Rather than running the survey once, they built what they called a PMF Score Engine—a repeatable, data-informed loop that continuously measured and refined product direction.
Their setup looked like this:
- Monthly and quarterly feedback cycles using Sean Ellis-style surveys
- Structured tagging of responses by feature, value prop, and user type
- Data centralized in Notion and Google Sheets
- Roadmap priorities updated based on real-time user sentiment
- Continuous alignment between what was being built and what users were actually asking for
Source: Sidekick
It wasn’t a gut-feel operation—it was product-market fit as a process.
How to Turn a One-Time Survey into a Full PMF System
Here’s how you evolve beyond the Sean Ellis metric and build a live feedback engine:
1. Don’t just ask how users feel—ask why.
Follow the main question with:
- What would you miss most if this product disappeared?
- What nearly made you stop using it?
- What problem does this solve better than anything else?
2. Tag the answers. Relentlessly.
Log every response into a shared doc or system and tag them:
- By feature (e.g., dashboard, onboarding, integrations)
- By benefit (e.g., speed, simplicity, collaboration)
- By user profile (e.g., CTOs, product managers, small teams)
This turns raw feedback into a signal map.
3. Update your product roadmap like it’s a living organism.
Every quarter, review your tagged data:
- What are your HXCs saying?
- Which requests align with your product’s core value?
- What friction is still stopping conversions?
Then build with intent, not guesses.
4. Re-survey. Routinely.
PMF isn’t a one-time event. Keep surveying your active users, refine personas, and measure progress. You’re not just tracking satisfaction—you’re tracking evolution.
Why This Matters
Products don’t reach product-market fit. They grow into it.
Superhuman didn’t find success because their product was perfect out of the gate.
They succeeded because they turned feedback into a system, and that system into momentum. Sidekick did the same, except with a score engine that turned user insight into organizational alignment.
If all you’re doing is checking the 40% box, you’re missing the point.
PMF is like a rhythm. And it only works if you build a drum to keep playing it.
Channels Aren’t a Growth Hack, They’re a Growth Strategy
Build your product to fit your channel, not the other way around.
If you’re building a product and then scrambling to figure out how to get users, you’ve already slipped.
Here’s what no one wants to admit:
Your product can be amazing, but if it doesn’t match your channel, it won’t grow.
And no amount of “growth hacking” will save it.
Channel-Product Fit: The Misunderstood Growth Lever
Most early-stage teams treat channels like checkboxes:
- “Let’s try paid ads.”
- “We’ll go viral.”
- “Let’s crank out content.”
But each of those channels has rules baked into them, and your product needs to be designed to play by those rules. This is what Brian Balfour calls Channel-Product Fit, and it’s one of the most underrated reasons why startups fail to scale.
Products aren’t distributed through channels.
They are built for them.
How Linear Nailed This by Doing Less
Linear—a project management tool—didn’t try to be for everyone. They didn’t throw money at paid ads or hire an army of content writers.
Instead, they made a deliberate bet:
- Audience: Developers at early-stage startups
- Channel: Internal team virality
- Playbook: Let great UX + real utility spread organically across tight teams
And it worked. Despite spending just $35k on marketing, they gained a cult following, scaled inside high-growth companies, and landed a $400M valuation.
Why? Because their product was designed to win in the exact channel they were betting on.
- Fast onboarding
- Beautiful UX
- Real-time collaboration
- Zero noise
That’s exactly what developers in fast-moving teams want—and it’s what made sharing Linear within companies frictionless.
Every Channel Comes With a “Product Demand”
Here’s how to think about it:
Channel | Product Must… |
Viral / Team Spread | Be instantly useful and collaborative |
Paid Ads | Have fast time-to-value and low acquisition friction |
SEO | Solve clear, searchable problems |
B2B Content | Deliver deep expertise with a strong monetization path |
Influencer / Referrals | Be brag-worthy and shareable |
You don’t get to just pick a channel.
Your product has to deserve that channel.
Actionable: How to Match Time-to-Value to Channel
Here’s a simple exercise to pressure-test your fit.
Step 1: Define your product’s time-to-value.
How long does it take for a user to get their first “aha” moment? Minutes? Hours? Days?
Step 2: Match that to a suitable channel.
- If your TTV is <10 minutes, you might be great for viral loops or self-serve paid ads.
- If it’s a few hours, you’ll need hand-holding—consider content or onboarding-heavy playbooks.
- If it takes days or weeks, your channel better involve high-touch sales, onboarding, or strategic partnerships.
Step 3: Ask the hard question:
Is our product built to win in this channel? Or are we forcing a fit that doesn’t exist?
Founders, Here’s the Reality:
You don’t need 5 channels.
You need one channel that fits like a glove—and a product that amplifies it.
Trying to brute-force growth through a mismatched channel is like yelling into a canyon and hoping it sells seats to your next webinar. Don’t do it.
Build for the channel. Own it. Then scale from there.
Don’t Chase Every Persona—Create a Cult Instead
When you try to win everyone, you lose the ones who would’ve gone to war for you.
There’s a dangerous instinct baked into early product strategy:
“Let’s build something that appeals to a wide range of users.”
It feels safe. Strategic, even. But in reality, it’s the fastest way to end up with a product no one really loves.
The Enterprise SaaS Secret? Obsession Over Breadth
The companies that scale aren’t the ones who talk to everyone. They’re the ones who lock in on one deeply specific user, extract their worldview, and then design the entire experience around them.
And the best part? That hyper-specific product ends up attracting others like them, automatically.
Let’s unpack two great examples.
Superhuman: Finding “Nicole” and Building Her Dream Inbox
Superhuman had a slick product, but they weren’t getting the traction they wanted. So founder Rahul Vohra asked users a key question:
“Who would most benefit from Superhuman?”
The responses revealed a pattern:
Executives. Founders. Power users who lived in their inbox.
From that data, they developed the “Nicole” persona—a busy professional who values speed, precision, and minimal distractions. Everything—feature prioritization, copy, onboarding—was rebuilt around Nicole.
They didn’t dilute the experience for casual users. They doubled down on the ones who needed superhuman-like oxygen. And that’s when things clicked.
Populate: Build for the Frontline, Not the Hypothetical
Populate, a healthcare SaaS company, didn’t build with generalized hospital systems in mind.
Founder Chance Rodriguez spent 6–7 hours a day talking to real clinicians—listening to pain points, testing designs, and iterating fast.
He wasn’t guessing. He was co-building the product with the exact people it was for: overworked doctors who needed to document faster, not prettier.
Source: Eleken
Populate’s product won because it made real users feel like someone had finally understood them.
Your New Goal: Obsession Over Broad Appeal
If you’re creating marketing personas to fill a slide deck, stop.
If you’re creating them to guide what you build, how you onboard, and what you say in your UI—now you’re doing it right.
Here’s how to make it real:
1. Talk to your loudest fans.
Find the people who “get” your product the most and ask:
- What made you stick around?
- What were you using before this?
- What do you hate about other options?
- What do you brag about when you talk about us?
2. Don’t average out the answers. Elevate one archetype.
Turn it into a living persona—give them a name, a job, a goal, a tech stack, a pain point. Use them as a gut check for every product decision.
3. Ruthlessly build for that person.
Even if it means alienating others. Especially if it does. Because loyalty isn’t built by compromising—it’s built by committing.
Why This Works: The Cult Effect
Obsessed users don’t just buy your product. They:
- Defend it in Slack channels
- Share it in LinkedIn threads
- Push it inside their orgs
- Evangelize it to their peers
That’s how Superhuman grew without mass-market appeal.
That’s how Populate built trust in a notoriously slow-to-adopt industry.
And that’s how you win—not with reach, but with resonance.
So stop aiming for average personas.
Find your Nicole. Talk to her. Build for her.
And let everyone else catch up.
The Business Model Test: Would You Pay for This Product Twice?
If your pricing doesn’t make sense to your customers, it doesn’t matter how great the product is.
There’s a unique kind of SaaS purgatory:
You have users. You have a product. But growth is flat. Why?
Because your pricing model doesn’t match how people want to buy, or how you’re selling.
And here’s where it gets tricky:
You can be too cheap for high-touch sales and too expensive for self-serve channels at the same time.
That’s not theory. That’s exactly what happened to Sidekick.
The $25 Pricing Trap: Too Big to Swipe, Too Small to Pitch
Sidekick (HubSpot’s freemium sales tool) had a $25/month plan they thought would scale nicely.
It didn’t.
It was priced too high for self-serve users who came in through low-cost, viral channels. And it wasn’t high enough to justify a dedicated sales push or the CAC of B2B content and inside sales.
The result? No one owned the plan.
Not the channel. Not the team. Not the user. It just sat there.
So the team made a decisive move:
- They killed the $25 plan
- Rebuilt a $50/month tier with better features
- Matched it to a higher-touch sales channel
- Created a better model-channel fit, and quickly grew from $0 to $10M ARR
Roadmap: Model Testing Without the Burn Rate
Then there’s Roadmap—a career platform startup that figured this out early. Instead of choosing one pricing tier and hoping it worked, they tested multiple monetization paths upfront:
- Free tier: to drive traction and understand feature demand
- $ tier: low-cost offer to test willingness to pay
- $$ tier: a premium offering built around the most requested features, designed to appeal to high-intent users with specific, unmet needs
Source: Eleken, PFM Roadmap used
By offering flexible tiers tied to real feature preferences, they weren’t guessing who’d pay for what—they were validating it in real-time.
How to Pressure-Test Your Pricing Fit (Without Wasting Months)
1. Identify your dominant acquisition channel
Are users coming from SEO? Cold outreach? Paid ads? Word-of-mouth?
Each one has a ceiling on CAC and expectations around perceived value.
2. Ask: “Does my pricing support this channel?”
If your product is $9/month, but you’re acquiring customers through a $200 CAC playbook, your math doesn’t work.
If it’s $299/month and you expect people to buy after a Google search and a landing page, your user journey doesn’t work.
3. Deploy a 3-Tier Test Model
Start with:
- Free: Showcase basic value, observe usage patterns
- Starter ($): Strip it back to a lean, focused entry-level offer
- Power ($$): Bake in the 1-2 features your most active users beg for
Then:
- Track conversion by persona and acquisition channel
- Adjust messaging or pricing based on friction points
- Don’t be afraid to kill a tier if no one owns it
4. Align feature value to actual business impact
Instead of bundling features by what you think is premium, tie them to outcomes:
- “Save 5+ hours/week” = Premium
- “Customize your dashboard” = Maybe not
Why This Matters
The best SaaS products don’t just work—they sell themselves well.
Not because they’re magical, but because:
- The pricing makes sense for the user
- The model makes sense for the channel
- The tiering makes sense for growth
Misaligned pricing doesn’t just kill conversions—it kills momentum.
So before you build your next feature or write your next ad, ask:
“Would I pay for this twice if I had to?”
If not, it’s time to rethink the model before it’s the reason your product stalls.
Fit Is Earned, Not Found
Product-market fit is just a method.
A system. A rhythm. A relentless pursuit of building the right thing for the right person through the right model and channel.
And Enterprise SaaS leaders? They’ve shown us that the companies who scale are the ones who treat PMF like infrastructure, not inspiration.
Whether it’s Superhuman’s obsession with one persona, Sidekick’s living PMF engine, or Segment’s painful pivot that led to a billion-dollar breakthrough, every success story in this space shares the same truth:
They didn’t chase growth. They engineered alignment.
At [A] Growth Agency, we help SaaS companies do exactly that.
As a leading Enterprise SaaS Marketing Agency, we partner with businesses to build scalable growth engines rooted in strategy, not guesses.
We don’t just drive traffic or clicks. We help you align your product, messaging, channels, and pricing to meet the market with precision.
Because product-market fit doesn’t live in a spreadsheet.
It lives in what people pay for, talk about, and keep coming back to.
If you’re ready to stop guessing and start growing, let’s talk.
You bring the product.
We’ll help you make it undeniable.