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Choose 'Hashtags' Based on Data: The 'New Tag Design Technique' to Reach Beyond Your Followers #269

Are you just adding tags 'because'?

I used to add them randomly at first, too, and I worried a lot about what I should do with tags.

Through a small opportunity, I thoroughly analyzed tens of thousands of tag data points.

This time, I'm writing an article about my observations based on those results.

Then, it became clear to me.

That there is an invisible structure of an 'ocean of information' in note tags.

This time, I will reveal my unique 'most efficient tag combination', in other words, the blueprint for tags, derived from those analysis results.

If you're interested, I'd love for you to read it.


1. Tags have a 'role': 4-layer design

Graduating from just randomly listing 10 tags. In this article, I propose a
'4-layer design' where tags are categorized into the following four roles.

  1. Ocean (Main)
    Purpose
    : Expand awareness (securing an overwhelming number of people)
    How to choose: Super big words everyone knows (e.g., #Essay, #Business)

  2. Current (Sub)
    Purpose
    : Narrow down attributes (increase hit rate for target audience)
    How to choose: Mid-range words in specialized fields (e.g., #ImageGenerationAI, #Python)

  3. Bridge
    Purpose
    : Get listed in related content (make the algorithm your ally)
    How to choose: Tags that become 'common ground' connecting main and unique tags

  4. Isolated Island (Unique)
    Purpose
    : Create fans (landing on your own worldview/turning into assets)
    How to choose: Your own series names or unique coined words (e.g., #OASOBI)


2. [Analysis Results] The 'Top 2,000' is the turning point

There is a shocking fact I learned from analyzing vast amounts of data. Major traffic on note is concentrated in the top
2,000 tags.

  • Technique
    Choose the 'Ocean' and 'Current' tags that will be your main battlefield from these top 2,000. If you miss this, the number of people flowing in will drop significantly.


3. A health check to avoid 'dead tags'

Even if you take the trouble to add tags, it's meaningless if no one is using them or if the spelling is slightly different.

  • Technique
    When adding new tags, always search once and check the 'number of posts' and 'related tags'.

  • Checkpoint
    If a tag has no related tags, it's proof that the island is isolated.
    Accept that it's just for 'record-keeping' and won't bring in any traffic.


4. The Ultimate Trick: Finding a 'Bridge' from Related Tags

This is what I wanted to convey most of all.
To connect your niche article (island) to the wider market (ocean),a 'bridge' is necessary.

  1. Search for your own 'unique tag (island)'.

  2. Look at the'related tags' that appear there.

  3. From those, choose one tag that isincluded in the 'top 2,000 dictionary'.

I believe this will be the strongest route to carry your article out into the 'vast ocean'.


Summary: The Golden Ratio for a Single Article!?

From today on, try to be conscious of setting your tags according to this article.

  • Main/Sub (from the top 2,000): 2-4 tags

  • Bridge (from related tags): 1-2 tags

  • Unique (your brand): 1-2 tags

Just by changing your 'vague intuition' into 'logic', the way your articles reach people should change dramatically.


Afterword (or rather, a monologue for the hardcore fans)

Honestly, I'm sure some of you think searching is a hassle, right?
For those people, the tools and articles from creators you're close with should be helpful.
A new version was released, so I'll post that too!

Actually, it matched the logic I analyzed perfectly, so I guarantee its reproducibility.

What? You're asking, 'What about KITAcore's own analysis logic?'

……Well, for those curious enough to want to know that, please wait for the paid article (membership-supported version) I plan to release later.

However, I'll warn you first.
It will be a story about hardcore data structures that is not at all friendly to beginners lol.
Well, that kind of 'un-cute analysis' is what you expect from me, right?

It's a conclusion derived from a mathematical model by running Python in the background, but for now, try swimming in the sea of note while being conscious of this 'pattern'.


Scheduled for release: [Logic Explanation] The depths of a note tag strategy calculated backward from data structures

And if you didn't quite get the article, try pasting this into an AI! It should explain it to you gently!

And by asking an AI, you should be able to enjoy the article twice over!

作者がユーザーの気持ちを無視して記事を書きやがった。
この記事内容が、難しくてよくわかんないんだけど、わかりやすく教えてくれない?
記事の内容で使えることあれば、まとめて。

記事URL:https://note.com/ktcrs1107/n/nfe531191f233

If you read the article and thought, 'That was helpful,' 'I'll write it in my notes,' or anything else at all, I'd be happy if you supported me with a
Like / Follow / Tip.

Also, I'd be happy if you left a comment!

Oh, and for comments, even a period '.' is fine! I'll reply with a comma ',' and I'll go leave a comma ',' comment on your article too!! lol

See you later.


Related Articles

#Hashtag #TagDesign #DataAnalysis #DataAnalytics #Python #SEO #Marketing #SNSManagement #ContentStrategy #AccessAnalysis #note #Diary #Work #Life #Business #SideHustle #Learning #Dissemination #WritingTechnique #Creator #CreatorSupport

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