0 views
Content Unit Economics: How to Calculate the Cost of a Single Publication
How to calculate the cost of an article, video, or post, where your team’s hidden hours are hiding, and what automation really changes in the math.
How to calculate the cost of an article, video, or post, where your team’s hidden hours are hiding, and what automation really changes in the math.
Marketing teams know how to calculate the cost of a lead, click, and subscriber. But the cost of a single publication—an article, video, or series of posts—usually remains unclear. “Well, it’s our job—we’re already on staff.” As a result, content looks free right up until someone asks: how much are we actually spending on the blog each month, and what are we getting in return?
Content unit economics means developing the habit of calculating the cost of producing one piece of content as calmly as you calculate CAC. Without it, it’s impossible to justify a budget or understand exactly what automation is delivering.
The primary cost in content is not contractors or tools, but people’s time. An editor’s hour, a designer’s hour, three rounds of approvals, and two revisions after approval. None of this appears in the books as “blog expenses,” so it also doesn’t make it into management decisions.
The side effect is that the team cannot distinguish between cheap and expensive formats. A long-form article that takes a week and a half-hour roundup sit in the same backlog with equal weight. Priorities are set according to taste rather than returns.
It makes sense to calculate costs across four layers:
The last two layers are usually underestimated the most. That’s where the work hides—the work that doesn’t show up on the calendar but consumes weeks.
Take the team’s hourly cost—the fully loaded cost, including taxes and overhead—multiply it by the actual hours spent on each layer, and add direct expenses: contractors, licenses, and tool subscriptions. Divide the total by the number of units published during the period, and you’ll get the average cost per publication.
That’s where things get interesting. Don’t calculate one average across everything; calculate by type: article, short video, case study, email. The differences between formats are almost always substantial, and this is the first thing that changes planning.
There are two honest assumptions you should agree on in advance. First, use actual hours rather than ideal estimates—based on a time tracker or, at the very least, a team survey. Second, count time spent on rework as a separate line item. If you don’t isolate it, you’ll never see how much a poor brief costs.
Automation rarely eliminates an entire layer. It compresses specific operations: producing a draft instead of starting from a blank page, adapting one text for five channels, translating into four languages without an external agency, or generating cover images.
That’s why automation should be evaluated not by the feeling that “things got faster,” but by the change in cost within specific layers. A typical pattern is that production and distribution become noticeably cheaper, while review does not—and may even become more expensive because there is more material to check. That’s fine if you can see it and manage it deliberately. It becomes a trap if output increases but editorial review is not reinforced.
Cost on its own tells you nothing. An expensive article that brings in customers for a year is better than ten cheap posts that nobody reads.
Put three columns into a single table: content type, average cost per unit, and results over a chosen time horizon—traffic, leads, assisted deals, or whatever you can measure. Look not at the individual rows, but at the ratios. Formats will fall into three groups: those worth scaling; those worth making cheaper through automation; and those it’s time to abandon.
The time horizon matters: the returns from SEO articles accumulate over months, while stories disappear within a day. Comparing them over the same window is meaningless.
Don’t build a tracking system right away. Take your last ten publications and reconstruct the actual hours spent on them—roughly, based on the team’s memory. Even this estimate usually reveals two or three places where time is leaking away for no real benefit: an unnecessary approval round, manually repackaging content for different channels, or searching again for something you’ve already written about.
Next, choose the single most expensive layer and automate that one. Not the entire pipeline—just one layer. Recalculate after a month. That’s what managing content by the numbers looks like, rather than by intuition.
Editing AI content: how to build a review process that doesn't slow the pipeline
Funnel-Driven