Pricing Your First Software Product: A Founder's Field Guide
Most first-time founders charge too little and change prices too late. How to choose a pricing model, set a starting price and adjust with confidence.
Pricing is one of the highest-leverage decisions a software company makes, and one of the least studied. Founders will spend weeks debating a feature and an afternoon picking a price — usually by looking at a competitor and charging slightly less.
Here's a more deliberate approach for your first product.
Understand the three anchors
Any price sits somewhere between three reference points:
- Cost to serve. Your floor. Hosting, AI usage, support and payment fees per customer. Priced below this, growth makes things worse.
- Alternatives. What the customer uses today — a competitor, a spreadsheet, a part-time hire, doing nothing. This frames what feels reasonable.
- Value delivered. What the problem costs the customer in time, money or risk. Your ceiling.
Good pricing lives closer to value than to cost. If your tool saves a team ten hours a month, a price based on your server bill leaves almost all of that value on the table.
Pick a value metric
The value metric is what you charge per: seats, projects, contacts, transactions, usage. A good one has three qualities:
- It grows as the customer gets more value. A customer who gets more out of your product naturally pays more.
- It's easy to understand and predict. Customers can estimate their bill.
- It's hard to game. Sharing one login across a whole team shouldn't be the obvious move.
Per-seat pricing works well for collaboration tools. Usage-based pricing suits infrastructure and AI products where your costs scale with use. Many products land on a hybrid: a base plan with included usage, plus charges above it.
Keep the structure simple
For a first product, three tiers is plenty:
| Tier | Who it's for | Purpose |
|---|---|---|
| Starter | Individuals, small teams trying it out | Low-friction entry |
| Pro | Your core customer | Where most revenue comes from |
| Business | Larger teams with extra needs | Security, admin controls, support |
Separate tiers by things that genuinely matter to different customer types — team size, admin controls, integrations, support — not by artificially withholding basic features.
Set the first price higher than feels comfortable
Almost every founder underprices. A few reasons to aim higher:
- It's easier to discount than to raise. Lowering prices is welcomed; raising them takes careful communication.
- Price signals quality. In business software, very cheap can read as "not serious."
- Higher prices attract more committed customers, who churn less and give better feedback.
- You learn faster. If nobody objects to your price, it's almost certainly too low.
A practical test: in sales conversations, roughly a fifth to a third of prospects should push back on price. If no one does, raise it.
Free plans and trials
Free trials (often 14 days) suit products that show value quickly and need some setup.
Free plans suit products that spread through teams, where free users invite paying ones. They can also become a large, expensive support burden.
When in doubt, start with a trial. You can add a free plan later; removing one is painful.
Talk to customers about money
Ask during discovery and sales conversations:
- "What are you spending on this problem today?"
- "Who would need to approve this purchase?"
- "At what price would this be an easy yes? At what price would you need to think hard?"
You'll learn more from twenty honest conversations than from any pricing calculator.
Revisit pricing regularly
Treat pricing as a product feature that evolves:
- Review it every six to twelve months.
- When you raise prices, protect existing customers for a period — loyalty is worth more than a quick increase.
- Watch conversion, expansion revenue and churn by tier; they tell you where the structure is wrong.
The short version
Find your value metric, keep the tiers simple, price closer to value than to cost, and start higher than feels comfortable. Then listen closely and adjust. The perfect price doesn't exist — but a deliberate one beats a guess every time.
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