The Project Type That Actually Pays You (Your Logs Already Know)

Most freelancers think about clients when they review profitability. Good client, bad client. Pays fast, pays slow. But clients are not the real unit of analysis. Project type is.

You might have a great client who keeps hiring you for the exact kind of work that eats your margin. And a difficult client who happens to always need the thing you do fastest.

The question is not who is hiring you. It is what they are hiring you to do.

The Problem With Averaging Everything Together

When you look at total revenue over a month, everything blurs. A strong week can cover a terrible project. A quick win can mask the slow bleed of a different engagement.

If you track time by project but never break it down by work type, you are missing the most useful layer of data you have.

Start by categorizing your projects. Strategy work. Production work. Revision-heavy work. Research. Onboarding. Support. Whatever categories fit your business.

Then pull your logged hours against invoiced amounts for each category. Not each client. Each type.

What Usually Shows Up

Most people find one or two project types where their effective hourly rate is strong, and two or three where it quietly falls apart.

Revision-heavy work is a common culprit. You quote it like production work, but it takes longer because it is not linear. Every round of feedback introduces new decisions. Hours go up. The invoice stays flat.

Research-heavy projects are another one. You cannot always see where research ends and real work begins, so you underbill the front half and feel rushed on the back half.

Support retainers often look profitable until you log every small task that falls under them. Then you realize you are doing twelve things a month that were never scoped.

How to Run This Review

You do not need a complicated system. You need consistent time entries with enough detail to sort them later.

In Time-Trak, your logs give you actual hours per project. If you have been tagging or labeling entries by work type, you can pull this directly. If not, go back through your last three months of projects and assign a category to each one manually.

Then calculate effective hourly rate for each category. Total billed divided by total hours logged. That number is what you actually earned per hour for that type of work.

Compare across categories. The gaps are usually bigger than people expect.

What to Do With the Information

You have a few options once you see the pattern clearly.

You can raise your rates on the low-performing types. If revision-heavy work always runs long, price it higher from the start or cap the rounds explicitly in the contract.

You can deprioritize the types that consistently underperform. Stop quoting them, or only take them when everything else is full and the rate is high enough to justify it.

You can look at your workflow for those types and find where the hours go. Sometimes a process fix closes the gap without changing prices at all.

Or you do all three.

The Real Point

You have probably already felt that some work pays better than others. That feeling is data. It just needs to be confirmed before you act on it.

Guessing which project type is killing your rate is how you end up avoiding the wrong thing or raising prices in the wrong place.

Your time logs have already recorded the answer. You just have to look at them with the right question in mind.

Break your work into types. Calculate effective rate per type. Then build your next pricing conversation around what you actually found, not what you think you found.

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.

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