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How to Price a New Service by Looking at Old Time Data
Business·3 min read·August 14, 2026

How to Price a New Service by Looking at Old Time Data

Before you guess a price for a service you haven't officially offered before, check what your logs already say about how long it takes.

Pricing a new service feels like a blank page. You have not done it officially before, so you have no invoice history to reference. You look at what competitors charge, make a judgment call, and hope it holds.

But for most freelancers, the service is not actually new. You have just been doing it informally, inside other projects, for existing clients. And if you have been tracking time, the data is already there.

New to the Menu Does Not Mean New to the Work

Maybe you are a designer who wants to start offering brand strategy as a standalone service. You have been doing strategy work as part of design projects for two years. You just never broke it out as its own line item.

Or you are a developer who wants to package technical audits as a separate offer. You have run audits at the start of every build project. You just bundled the hours into the project total.

In both cases, you already have time data. It is just hiding inside other projects.

How to Pull the Hidden Data

Go into your time logs and filter by task type or description rather than project. Search for the work that forms the core of your new service.

Look for every instance of that task type across the last 12 months. How many hours did it typically take? What was the range from shortest to longest? What variables seemed to affect the time, client complexity, scope clarity, number of stakeholders?

Once you have 8 to 10 data points, you have a distribution. The average gives you a starting point. The high end gives you a ceiling to quote from if you want to protect against difficult clients. The low end tells you your floor on a clean, simple engagement.

Turning Hours Into a Price

Now you have a time range for the service. Multiply by your hourly rate to get a raw cost. Then add a buffer for:

- The learning curve of delivering it as a standalone service (the first few times will take longer)
- Sales and onboarding time that does not appear in production logs
- Any tools, templates, or deliverable formatting specific to this service

That gives you a realistic floor price. Whether you charge hourly, fixed fee, or by package, the floor tells you what you cannot go below without losing money.

What Good Logs Show That Guessing Misses

When you base a new price on existing time data, you catch things that intuition misses.

You might find the service takes twice as long as you expected because the data includes all the back-and-forth, not just the heads-down production time. A strategy session might take two hours to run but five hours total when you count prep, notes, and follow-up.

You might find that the time varies wildly depending on a factor you had not identified as a pricing variable. Some clients need three rounds of input to get to a clear brief. Others arrive prepared and the work is half the time.

Data makes those patterns visible. Guessing assumes a flat average that probably does not exist.

The First Few Projects Are Still Research

Even with historical data, the first few times you deliver something as a standalone service will teach you things the old logs could not.

Track meticulously on the first three projects. Log everything: calls, emails, revisions, delivery. After three projects you will know whether your price was right, too low, or built on the wrong assumptions.

Adjust from there. Not based on a feeling about whether it went well, but based on hours logged versus price charged.

Use the Timer From the First Minute

When you are calibrating a new service, every unlogged hour costs you accuracy. Start the timer at the beginning of any work related to the engagement, including the sales call, the proposal, and the kickoff.

Time-Trak makes that easy because the floating widget is always accessible without switching context. One click to start. One click to stop. The log builds itself.

A new service priced on real data holds up. A price built on a guess gets adjusted the hard way.

Track your time, bill every minute.

Time-Trak is a native Mac and Windows time tracker with a floating timer, automatic screenshots, and one-click invoicing.

Free during beta.

Download Time-Trak →

macOS + Windows · Floating widget · Auto screenshots

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