Pricing is where most new service providers stall. They have the expertise, the offer, even a few interested prospects. But when someone asks how much it costs, they freeze. The number they pick feels arbitrary because it is.
The problem is not a lack of market data. The problem is using the wrong anchor. Most people anchor to their former salary. They divide their annual comp by hours worked and arrive at an hourly rate. This is almost always too low because it ignores the value of the outcome you deliver.
Step 1
Ask three buyers what the problem costs them in money, time, or missed opportunities
Step 2
Set your price at 10-20% of the value you deliver
Step 3
Discount first engagements 30-50% in exchange for case studies
Step 4
Revisit pricing every three months using delivery data
Value-based pricing starts with a different question: what is this problem costing the buyer? If your service saves a company $200,000 per year in wasted operational spend, charging $20,000 is not expensive. It is a 10x return. The buyer does not care how many hours it takes you. They care about the gap between the cost of the problem and the cost of your solution.
“Pricing is not a maths problem. It is a confidence problem disguised as a maths problem.”
When you have zero data, run the following exercise. Ask three potential buyers one question: 'What is this problem costing you right now, in money, time, or missed opportunities?' Their answers give you the ceiling. Your cost of delivery gives you the floor. Your first price sits between them, typically at 10 to 20 percent of the value you deliver.
Pricing is not a maths problem.
If the problem costs $100,000 per year and you can solve it, $10,000 to $20,000 is a reasonable starting point. If the problem costs $10,000, your price might be $1,000 to $2,000. The ratio matters more than the absolute number.
For your very first engagement, discount deliberately. Offer 30 to 50 percent off your target price in exchange for a case study, testimonial, and referral. Frame this explicitly: 'My standard rate for this is $15,000. For the first three clients, I am offering it at $8,000 in exchange for a detailed case study.' This communicates that the discount is intentional, not a reflection of uncertainty.
Do not offer hourly rates unless the buyer insists. Hourly pricing penalises efficiency and creates adversarial incentives. If you solve a problem in 10 hours that a competitor takes 40 hours to solve, hourly pricing rewards the slower provider. Package your work as a fixed-fee engagement tied to a defined outcome.
Revisit your pricing every three months for the first year. After each engagement, you will have better data: how long delivery actually took, what buyers valued most, and where you undercharged. Adjust upward. New service providers almost always start too low. The market will tell you if you overshoot, but it will never tell you that you are leaving money on the table.
Pricing is not a maths problem. It is a confidence problem disguised as a maths problem. The framework above replaces confidence with evidence. Use the buyer's own numbers to justify your price and the conversation becomes straightforward.