Building is cheap now.Getting users isn't.
Prove you can acquire users profitably - then build.
The short version
AI has made building an app close to a commodity. That means the biggest risk is no longer “can we build it?” - it's “can we get the right users to it, at a cost where the unit economics make sense?” The smartest founders prove that distribution works before they pour significant money into the build: run a small test, hit a target cost per acquisition (CPA) with qualified users, then you can invest with confidence.
This post covers why getting a handle on your go-to-market and distribution strategy is now more important than ever, why that's only step one (executing the product well is step two), and the step-by-step way we heavily de-risk our client app ideas inside our validation work.
I got an email this week from a marketer with a line that stuck with me: “First-time founders are obsessed with product. Second-time founders are obsessed with distribution.” He's right. After 15+ years and countless app projects behind me, I'd go one step further: distribution isn't just what you do after launch - it's what you should prove before you build.
Here's why that matters more than ever. When AI tools can spin up a working app in days, the build stops being the bottleneck and the product itself starts to look like a commodity.
But here's the nuance most people miss: what decides whether your app makes money isn't just whether you can reliably reach the right people and acquire them for less than they're worth to you. It's also how well you execute the product, business model, onboarding funnel, and first-session experience - in the context of real competition.
Get the acquisition right and the execution wrong, and you still fail. So treat it as two steps.
This post is mostly about getting step one right first, and we'll come back to step two.
Overall, most founders get this backwards. They spend the runway building, launch into silence, and only then start asking how to get users. By then the money is gone. Let's flip the order.
The Real Reason Most Apps Never Make Money
Only ~10% of apps ever generate meaningful revenue. The comforting story is that those apps simply had better products. The uncomfortable truth is that the rest died mostly because nobody ever proved there was a profitable way to reach their target users.
Think about what that means. You can have a genuinely useful app and still fail, because the only channels available to you cost more to acquire a user than that user will ever be worth. That's not a product problem. It's a distribution-economics problem - and it's completely knowable before you write the bulk of the code.
Validating before you build has always paid off - even before AI coding tools, proving demand first was the smart move. AI just raises the stakes. When anyone can ship a working app, the expensive mistakes are the same two: building something without first proving you can profitably acquire users, and then executing that solution poorly.
Distribution Is a Hypothesis You Can Test - Not a Hope
“We'll figure out marketing later” is a hope. “We can acquire a qualified user for under our target CPA on this channel” is a hypothesis. The difference is that a hypothesis can be tested with a small budget, in a couple of days or weeks, before you commit to several months (or years) and a six or seven figure build.
The number at the centre of it is your target CPA - the most you can afford to pay to acquire a user while still running a profitable business. You get to it by working backwards from unit economics: what a user is worth (your price, how long they stay, how many convert to paying), minus the margin you need. That gives you a ceiling. Now acquisition has a scoreboard.
Once you have that number, “is there demand?” becomes the question: can you put an offer in front of the right people and get them to act - click, sign up, pre-order, deposit - for less than your target CPA? If yes, you've found early channel-market fit. If no, you've just saved yourself months or even years of runway and a build you'd have struggled to grow.
How to Prove Demand and Distribution Before You Build
Five steps. Do them in order. None of them require the finished app.
Map the demand signals you can read for free
Before you spend a cent, look at what already exists: search volume for the problem, active communities, competitor reviews (especially 1, 2, and 3-star ones), and the language real people use to describe the pain. Strong existing demand signals tell you a market is awake. Silence is a warning worth listening to.
Set your target CPA from real unit economics
Model what a user is worth on average: price point, expected conversion to paid, and realistic LTV (life-time-value). Now factor in your other per-user costs and the profit margin you need - operations, support, overheads - and you have a CPA ceiling. It won't be perfect this early, but a rough model gives every test a pass/fail line instead of a vibe.
Run a small, honest acquisition test
Point a modest paid budget at a well considered landing page or prototype that sells the real offer. Pick one channel that fits the audience - Meta, TikTok, or Reddit for example - and measure click-through, cost per signup, and stronger intent signals like deposits or paid pre-orders. Keep each test small. You're buying evidence that there is strong motivation for what you're selling, not just users.
Read the numbers against your ceiling
Compare your real cost per signup to your target CPA. Then look past the number: are the people signing up actually your target users, or just whoever was cheapest to reach? Is the intent genuine or just cheap curiosity? A channel that delivers qualified users under your ceiling is a green light. A channel that can only deliver expensive, low-intent clicks is telling you something important - listen to it.
Make a confident GO, PIVOT, or NO-GO call
If the economics work, invest in the build with conviction - you already know how you'll grow it. If they don't, change the offer, the audience, or the channel and test again. The worst outcome isn't a failed test; it's skipping the test and discovering the problem after the money is spent.
This is an example of the work our App Idea Validation service is built around - proving demand and the economics of distribution with real data before you commit to development.
What Real Validation Looks Like
Most “validation” stops at “people said they liked it” - or friends saying “wow, that idea sounds great!” But when it comes to getting those same people to put real money down, and pay, you get a completely different story.
What actually de-risks a business is proving you can reach and convert people profitably - not just that they'll join a waitlist.
When we get the acquisition and economics right early, the difference shows up fast in the real numbers too. Here's a few examples...
20 days
Hooked Up reached profitability
With the offer, onboarding, and acquisition dialled in, Hooked Up hit positive return on ad spend in 20 days and ranked #3 in Sports - distribution proven, not hoped for. Proving the channel was step one; retention and word of mouth determined whether it compounded - the same trust layer we cover in Better Not Louder.
321,000+
Driving Lessons+ launch installs
A launch built on proven demand drove 321,000+ installs and took Driving Lessons+ to #1 in Education across Australia and the UK in two months.
+330%
Fish Assist revenue per user increase
Smart pricing and positioning lifted Fish Assist's revenue per user by 330% and took it to #1 paid app in Sports - proof the economics work, not just the download count.
None of these are luck. In every case, the acquisition path was understood and tested, not left to chance after launch. That's the whole point of putting distribution first.
Step One Is Proving It. Step Two Is Executing The Product Better.
Everything above is step one: proving you can sell the idea - that a profitable path to users actually exists - before you commit to the build. Work this out and you've earned the right to build.
But cheap users still won't save a weak product. What turns acquisition into a real business is step two: how well you execute the product, the business model, the onboarding funnel, and the first-session experience, all in the context of the competition you're up against. Get this wrong and you'll churn the users you worked so hard, and paid, to win.
This is where AI cuts both ways. It's never been easier to spin up “a working app” - which means your competitors can too. Shipping whatever the AI hands you by default is exactly how you become one more forgettable app in a sea of noise. The teams that win are the ones who understand this game deeply and execute with intent: sharper positioning, a business model that holds up, an onboarding flow that converts, and a first session good enough to earn the second.
We help you get an edge and do it right the first time - and where you need to move fast, we compress the learning and implementation curve dramatically while still doing what's necessary to make your product stand out. Prove the demand first. Then build something that actually deserves it.
De-Risk Smartly - Don't Bet Your Budget on a Guess
Putting distribution first doesn't mean blowing your runway on ads before you have a product. It means spending small, deliberate amounts to buy evidence at each step, and only increasing your commitment as the risk drops.
Done well, each step costs a little and removes a lot of risk. Free demand signals cost nothing. A small acquisition test costs less than a week of development and by the time you green-light the build, the scariest unknown question - “can we profitably get users?” - is already answered.
That's the difference between building on hope and building on evidence. The founders winning right now aren't just the ones who built fast, they're the ones who proved they could reach users before they ever shipped and then build smart based on real market data and evidence.
FAQ: Proving Distribution Before You Build
What does 'distribution first' actually mean for an app?
It means proving you can attract the right users at a viable cost before you commit serious money to building the product. Instead of building first and hoping users show up, you test a real acquisition channel against a target cost per acquisition (CPA). If you can get qualified users profitably on a small budget, you have evidence that a real distribution path exists - and the confidence to invest in the build.
What is a target CPA and how do I set one?
Your target CPA is the most you can afford to pay to acquire a user while still building a profitable business. Work backwards from your unit economics: estimate the lifetime value of a paying user (price, expected retention, conversion to paid), then set a CPA ceiling that leaves a healthy margin. Early on these are estimates, but a rough model beats no model. The point is to test acquisition against a number, not a feeling.
Can I test distribution before the app is built?
Yes, and you should. You can run small paid campaigns to a landing page, a pre-launch signup, a waitlist, or a clickable prototype, and measure click-through, cost per signup, and intent signals like deposits or paid pre-orders. You are not testing the finished product - you are testing whether the right people respond to the offer at an affordable cost. That signal de-risks the biggest unknown before you spend on development.
Isn't this just market validation?
It's the part of validation most founders skip. Plenty of teams validate that people like the idea. Far fewer validate that they can reach those people profitably. Demand and distribution are different questions. Our validation approach tests both - real demand evidence plus the economics of acquiring users - so the GO / PIVOT / NO-GO call is based on whether the business can actually grow, not just whether the idea sounds good.
If I can acquire users cheaply, is that enough?
No. Cheap acquisition gets users in the door, but it doesn't keep them. Whether your app makes money also depends on execution: a product that solves the problem well, a business model that holds up, an onboarding funnel that converts, and a first-session experience good enough to earn the second. In a market where anyone can spin up an app with AI, shipping the default version isn't enough - the teams that win execute with intent and out-position their competitors. Think of it as two steps: prove you can sell it (step one), then build something that genuinely WOWS those users (step two).
Does proving distribution guarantee my app will succeed?
No - nothing guarantees success. However, proving you can acquire qualified users at a viable cost is a super valuable first step: it removes the single most common reason apps fail, which is having no profitable path to users.
Step two is execution - the product, business model, onboarding funnel, and first-session experience all have to be strong enough to convert and retain the users you acquire, especially against competitors who know what they're doing.
De-risking distribution first means that when you invest in the build, you're building on evidence rather than hope.
Want a specialist team to execute all of this for you? .
Want to prove you can get users before you build?
Book a free strategy call with Jarrah and he'll pressure-test your demand and distribution assumptions with the real economics of acquiring users - so you can invest in the build with evidence, not hope.