Less Content, Deeper Content
Putting the same effort into half as many pieces brings more business in most companies. The reason is plain: more than half of indexed content is now machine-generated. Nobody wins the volume race.
This piece covers the method for cutting production and going deeper. The hard part is not the writing. It is deciding to lower the count.
What Is the Problem?
BU BÖLÜMÜN ÖZETİ
- The calendar runs the content
- Nothing goes deep
- Old content gets forgotten
Three scenes.
The calendar runs the content
A target of three pieces a week gets set. When no subject turns up, filler appears. Nobody reads it but the calendar closes. The team counts the job as done; the hours spent, meanwhile, return nothing.
Nothing goes deep
Every subject gets touched at the surface. The reader does not find what they came for. They move to another site and never return. Ten shallow pieces do not do the work of one deep one; their sum does not equal it either.
Old content gets forgotten
With new pieces to write, updating old ones appeals to nobody. Yet the piece bringing in work is usually among the older ones. Writing something new looks easier, so it wins. Improving a piece that already works returns more.
Why Does It Happen?
BU BÖLÜMÜN ÖZETİ
- Volume gets measured, results do not
- Producing less feels like retreating
- The tools encourage volume
Three reasons.
Volume gets measured, results do not
How many pieces went out is an easy question. How many brought in work is hard; answering it means looking at data. What is easy to measure becomes the target. So the wrong target gets set and the team runs toward it.
Producing less feels like retreating
When the count drops, anxiety appears in the team. If a competitor publishes five a week, writing three feels inadequate. Yet the comparison belongs on results, not counts. How many pieces a rival publishes does not concern you. How much work they win does.
The tools encourage volume
When production gets easier, producing more becomes the natural reflex. Nobody stops to ask what this piece will actually accomplish. Being able to do something does not mean it should be done. That distinction matters more in an age of ease. The editing pass works on the same logic.
How Is It Done?
BU BÖLÜMÜN ÖZETİ
- Step 1: find the content that works
- Step 2: halve the count, double the time
- Step 3: put old content in the update queue
Three steps.
Step 1: find the content that works
Look at the past year’s data. Which three to five pieces genuinely brought in work? Which produced a quote request, a call or a signup? That list usually comes out short. And it often surprises; the pieces you laboured over may not appear on it.
Step 2: halve the count, double the time
Write one and a half pieces a week instead of three. So three every fortnight. Spend the freed time gathering sources; preparing data and finding examples belongs to that time too. Writing time stays the same, preparation time doubles.
Step 3: put old content in the update queue
Refresh one old piece a month, with traffic data setting the order. Add new data, put in a new example, update the links. Improving a piece that already works beats writing from scratch. Your own material becomes the main source for those updates.
How Long, Where to Start?
BU BÖLÜMÜN ÖZETİ
- The transition is one meeting
- Results appear in the third month
- First step: deepen one piece this month
One meeting to decide, three months for results.
The transition is one meeting
Lowering the count is a decision. But before deciding, everyone needs to look at the same number: which content brought in work? Once that table gets seen, the decision becomes easy and the discussion stays short.
Results appear in the third month
The first month brings a volume drop and some anxiety. By the second the picture steadies and the panic passes. In the third the effect of deeper pieces starts to show. This timeline has to be stated upfront. Otherwise the decision gets reversed in month two.
First step: deepen one piece this month
Before changing the whole system, start with a single trial. Pick one subject. Give it twice the time you normally would. Put your own data, example and numbers inside it. Compare the outcome three months later; even one trial points the way.
The Common Mistake
BU BÖLÜMÜN ÖZETİ
- Mistaking length for depth
- Cutting the count and the time together
- Reversing the decision in month one
Three traps.
Mistaking length for depth
Deep content does not mean long content. Two thousand empty words are worth less than five hundred concrete ones. The measure is not word count. It is how much information nobody else holds.
Cutting the count and the time together
Writing less at the same speed changes nothing. The freed time has to go into preparation. If it does not, all you hold is less content; the volume goes and the depth never arrives.
Reversing the decision in month one
When volume drops, traffic dips for a while. That is expected; fewer new pieces means fewer new pages. Looking at the first month’s dip and turning back wastes the entire experiment.
Frequently Asked Questions
Sık Sorulan Sorular
In the short term it may dip, since the page count falls. But search engines have long looked at value rather than quantity. Filler content was producing nothing anyway. Penalties for scaled low-quality production have also increased. So the risk lies not in producing less. It lies in producing much and empty.
There is no single right number, but there is a test: as many as you can gather material for. If you hold your own material for every piece, the count is right. If you are writing before finding any, it is too high. In most small businesses that lands at one or two a week. And that turns out to be enough.
No, because the work shifts. Writing decreases while gathering, interviewing, preparing data and updating increase. Distribution is a job in itself too: adapting the same piece for different channels, moving it into email, keeping it current. The time given to distribution is usually insufficient, though it matters as much as the writing.