Why Most Startups Get Pricing Wrong (And the Fix)
Most founders price on gut feel or cost-plus logic. Both are wrong. Here's a practical framework for finding prices that maximize growth and revenue.
Published · 8 min read
At some point in the early days of every startup, someone asks the question: what should we charge? And what happens next is almost always the same. The founder googles the two or three closest competitors, picks a number slightly below the cheapest one (to be "competitive"), rounds it to a nice number, and ships it as the pricing page. Done in 20 minutes.
This approach - underpricing based on competitor gut checks - is one of the most expensive mistakes in early-stage startups. Not because it causes customers to leave, but because it causes them to stay while you silently leave enormous revenue on the table. Pricing is the highest-leverage decision in your entire business, with zero additional cost to implement. Here's how to get it right.
The Two Wrong Ways Everyone Prices
Cost-Plus Pricing
"Figure out what it costs to deliver the product, add a margin, and charge that." This logic works perfectly for physical goods. It makes no sense whatsoever for software, because the cost of delivering a second unit of a software product is essentially zero. Your costs have almost no relationship to the value you deliver - so using them to set price severs the connection between what you charge and what the customer gets.
Competitor-Based Pricing
"Look at what similar products charge and match or undercut them." This is the trap of watching competitors and copying them instead of reading the market. The problems:
- You don't actually know how your competitors arrived at their numbers - they might be dramatically underpricing
- They might be serving a completely different customer segment with different willingness to pay
- Their business model might be so different that their pricing logic doesn't translate to yours
More importantly: if you can only compete on price, you don't have a product - you have a commodity.
Value-Based Pricing: The Only Framework That Works
The right starting point is a simple question: what is the outcome worth to the customer? Not the feature, not the product - the outcome.
If your tool saves a marketing manager four hours a week and they bill at $100/hour, that's $1,600/month in recovered time. If you charge $150/month, you're delivering 10x ROI and it's essentially free money from their perspective.
To build this framework, you need to know three things:
- What problem does your product solve and how painful is it?
- What would the customer do if your product didn't exist - what does the workaround cost in time, money, and frustration? (This is exactly what good customer interviews surface.)
- What is the measurable outcome they get from using your product in a given month?
Once you have those three numbers, you have a range:
- Floor: what it costs them to solve the problem without you
- Ceiling: what they save by using you
- Your price: should sit between 20% and 50% of the value you deliver
Less than 20% and you're leaving too much money on the table. More than 50% and you're creating sticker shock that makes the sales cycle painful.
The Anchor Effect Is Real
Anchoring is the cognitive bias that causes people to rely heavily on the first number they hear when making decisions. In pricing, the first number you name shapes everything that follows.
Most founders name a low anchor out of fear - they want to seem "affordable" and avoid rejection. This is backwards.
"Our enterprise plan is $5,000 per month, but for teams your size, the growth plan at $500 gets you everything you actually need" sounds completely different from the same $500 presented cold with no context. The customer now perceives $500 as a deal, not just a price.
This applies to your pricing page too. If you show three tiers, the highest tier anchors the entire page. Users glance at the top number, register it as the "full" price, and then evaluate everything else relative to that anchor. A $499 enterprise plan makes a $99 growth plan feel like a steal.
The Case for Three Tiers
Behavioral economics has a clear finding on pricing pages: two-tier pricing pushes customers toward the cheaper option; three-tier pricing pushes them toward the middle. Across SaaS products, the middle tier consistently converts at 60–70% of total sign-ups.
Design your three tiers by starting with the middle:
- Middle tier: what your target buyer actually needs, priced for the value it delivers
- Cheaper tier: just limited enough to drive upgrades (not so limited it's useless - frustration isn't a growth strategy)
- Enterprise tier: priced high enough to be aspirational and to anchor the page - its job isn't conversion, it's to make the middle tier look reasonable
The Raise-Your-Prices Experiment Every Founder Should Run
The most common pricing failure mode isn't charging too much - it's the inverse. Most early-stage founders charge so little that they:
- Can't invest in growth
- Can't hire
- Signal low quality to exactly the enterprise customers they want most
Large companies are skeptical of cheap software. It makes them wonder what's wrong with it.
Here's the experiment: pick a new user cohort and offer the exact same product at double the current price. Don't change anything else. Watch what happens.
In most tests:
- Conversion rates drop slightly
- Churn increases slightly
- But total revenue goes up because the price increase more than offsets the small reduction in customers
- Quality of customers typically improves - higher-paying customers tend to use the product more seriously
If 40% of your potential customers would churn if you doubled prices, you probably have a pricing problem. If only 10% would leave, you have a pricing opportunity - and a direction.
Pricing is not a one-time decision. It's a variable you should be testing continuously, with the same rigor you bring to acquisition experiments - and one input you should plug straight into your first financial model. Treat it that way and it becomes one of the most powerful levers in your business.
1tab.ai includes financial projection tools so you can model different pricing scenarios and see exactly how price changes affect revenue, runway, and growth trajectory - before you commit to anything.
How to Put This Into Practice This Week
Do not turn this into another saved article. Treat it as a working session for your growth playbook. Start by writing the current state in one paragraph: where the company stands today, what is unclear, and what decision is waiting on better evidence. That paragraph forces the advice into your actual context instead of leaving it as a general lesson.
Next, pick one decision you can make this week from the framework above. Not a vague "improve the process" task, and not a giant quarterly initiative. Choose one concrete decision: which customer segment to call, which metric to review, which slide to rewrite, which tool to remove, which owner to assign, or which assumption to test. A useful playbook should change one calendar item or one task owner within 24 hours.
Then capture the evidence that will tell you whether the decision worked. That evidence can be a customer quote, a reply rate, an activation metric, a lost-deal reason, a runway number, or a screenshot of the workflow before and after the change. Store it next to the work so you can review it without reconstructing the story later.
If you are working alone, write the decision as one task with a clear deadline and a note explaining why it matters now. If you have a co-founder or team, make it the first agenda item in your next weekly review. The point is to create visible accountability around the smallest useful move, because invisible learning rarely survives the pressure of a busy startup week. Keep the scope small enough that progress is obvious without another planning meeting.
Finally, review the decision next Friday. Keep it, reverse it, or adjust it based on what changed. That small loop is what turns "Why Most Startups Get Pricing Wrong (And the Fix)" from advice into an operating habit: read, decide, test, review, repeat.