Content that compounds versus content that decays
Most of what companies publish is designed to decay, and much of that is fine. A launch announcement, an event write-up and a comment on this week's news are all doing a job that ends quickly. The problem is that they are counted, budgeted and reported as if they were assets. Very little content compounds, the pages that do share identifiable traits, and telling the two apart before commissioning anything changes what gets made.
What kind of content never compounds?
Anything tied to a moment: announcements, event recaps, reactions to news, quarterly roundups, and pieces whose value depends on being early. These have a short half-life by construction, and no amount of optimisation extends it, because the demand they serve genuinely disappears.
The mechanism is that compounding requires recurring demand. A page keeps earning when people keep having the question it answers, month after month, and keep finding the page when they ask it. A launch post answers a question nobody asks after the launch. It can still be worth writing, for customers, for the sales team, for the record. It is just not an asset.
The honest consequence is that a content programme built entirely from timely pieces has to keep running at the same rate forever to hold its position, because nothing accumulates. That is a media operation, not an asset-building one, and it should be budgeted as an ongoing cost rather than as an investment.
What makes a page keep earning?
Three things together: a question people keep asking, an answer that stays true, and a page that stays findable. Remove any one and the page decays regardless of how good it is. This is why the best-written piece in an archive is often not the best-performing one.
The question needs to be genuinely recurring rather than seasonally spiky. Answers stay true when they are about mechanisms and trade-offs rather than about current prices, current tools or current platform behaviour, all of which age badly and take the page's credibility with them when they do. Findability is the part most within your control and the part most often neglected after publication.
A useful test before commissioning: will this sentence still be accurate in two years, and would somebody still be typing this question then? If the answer to either is no, write it anyway if it serves a purpose, but do not count it in the same line as the pages that will still be working.
How do different content types behave over time?
Roughly as follows. The half-life column is the pattern rather than a measurement, and the last column is the thing that actually determines whether the page survives.
| Type | Typical life | What it earns | What it needs to survive |
|---|---|---|---|
| Launch and company news | Days | Attention from people already following | Nothing, it is not meant to last |
| Commentary on current events | Weeks | Reach and credibility with peers | Nothing, but it should be budgeted as media |
| Explainers on recurring questions | Years | Steady search traffic and citations | Periodic accuracy checks |
| Comparisons and decision guides | Years, with maintenance | Traffic close to a purchase decision | Updating when the options change |
| Tools, calculators and templates | Years | Links, returns and word of mouth | Someone owning the code when it breaks |
| Case studies and proof | Long, but rarely found by search | Confidence during an active evaluation | Being linked from where the decision happens |
Why does updating usually beat publishing?
Because a page that already ranks has demonstrated something a new page has not: that the question is real and that this page is an acceptable answer. Improving it operates on a known quantity, while publishing another one is a fresh bet with a long feedback loop.
Decay is also gradual and mostly invisible in a total-traffic chart. A page loses ground as competitors publish better answers, as the format that wins the query changes, and as the specifics in it age. Traffic falls slowly enough that the monthly report never shows a problem, only a plateau that gets explained as seasonality.
The practical consequence is that a content programme needs a maintenance allocation from the start, not from the point where somebody notices a decline. A reasonable working split is to spend a meaningful minority of content effort on existing pages, and to review the highest-earning pages on a fixed schedule rather than when they break.
How do you tell whether your archive is decaying?
Group your pages by the year they were published and look at how much traffic each group earns now. This takes about twenty minutes with a search analytics export and a spreadsheet, and it answers a question that a total-traffic line cannot: whether your older work is still carrying weight or whether you are running to stand still.
A healthy archive shows older cohorts still contributing meaningfully, with the largest share often coming from work published a year or two ago rather than last month, because pages take time to reach their position. An archive where nearly all traffic comes from the last few months is a media operation, whatever it is called internally.
Then look at the specific pages that fell the furthest and read them. In most cases the reason is visible in the first screen: a price that is wrong, a tool that no longer exists, a screenshot of an interface that changed, or an answer that a competitor now gives more directly.
How much content do you actually need?
Fewer pages than most plans assume, covering the questions a buyer genuinely works through, each one done properly. The volume approach fails on the same query it targets, because thin coverage of forty topics loses to thorough coverage of ten, and the forty then require maintenance nobody has budgeted for.
The size of the real list is set by your buyers rather than by a content calendar. Write down every question a customer asks between first awareness and signing, including the awkward ones about price and about what you are bad at. That list is usually shorter than expected and considerably more useful than a keyword export.
The test for whether a piece belongs on the list: would a salesperson send this to a prospect who asked that question. If not, it is unlikely to serve a stranger asking the same thing through a search engine.
Common questions
- What is compounding content?
- Content that keeps earning traffic and attention long after publication because it answers a question people keep asking. It requires three things at once: recurring demand, an answer that stays true, and a page that remains findable. Remove any one and the page decays. Explainers, comparisons and tools compound; announcements, event recaps and commentary on current events do not.
- Why does old content stop getting traffic?
- Because competitors publish better answers, the format that wins the query changes, and the specifics inside the page age. Prices, tool names, screenshots and platform behaviour all date, and a reader who spots one wrong detail discounts the rest. The decline is gradual enough that monthly reports show a plateau rather than a problem, so it is usually noticed late.
- Is it better to update old content or publish new content?
- Updating usually wins, because an existing page has already demonstrated that the question is real and that the page is an acceptable answer. Publishing a new page is a fresh bet with a long feedback loop. A content programme should carry a maintenance allocation from the start and review its highest-earning pages on a schedule rather than after a decline is noticed.
- How do you tell if your content archive is decaying?
- Group pages by publication year and compare how much traffic each group earns now, using a search analytics export and a spreadsheet. A healthy archive shows older cohorts still contributing, often with work from a year or two ago earning the most, since pages take time to reach position. If nearly all traffic comes from recent months, nothing is accumulating.
- How much content does a company actually need?
- Enough to cover the questions a buyer genuinely works through between first awareness and signing, each answered thoroughly. That list is usually shorter than a keyword-driven plan suggests. Thin coverage of many topics loses to thorough coverage of few, and creates a maintenance burden nobody budgeted for. A good filter is whether a salesperson would send the piece to a prospect who asked.
