This wave of traffic went viral. Here's how it was achieved.
In just 3 days, I gained 5M views. It sounds exaggerated, but it really happened. Interestingly, this experiment helped me discover several operational logics behind Twitter's recommendation algorithm.
Here's the core breakdown—about the title, I directly used numbers and time, then hooked readers with a question. "How did I achieve 5M traffic in 3 days?" This combination not only showcases specific results but also sparks curiosity, which is why it grabs attention.
Adding a subtitle makes it even more compelling: "Twitter Recommendation Mechanism Bug? I will break down this Twitter traffic experiment in detail, showing you how I achieved 5M views in 3 days." The first half creates suspense, while the second half clarifies the promise, giving readers a reason to keep scrolling.
To summarize the pattern: a combination of time and numbers + question structure + mechanism analysis creates enough appeal. For those doing content operations in the Web3 community, this approach is fully applicable.
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DAOdreamer
· 17h ago
5M views, in simple terms, is a combination of a clickbait title and suspense tactics.
To be honest, this strategy of using numbers + questions works well on Twitter, but what I really want to know is how it converts afterward... High traffic doesn't necessarily mean high value.
This is the game rule of Twitter; understanding the algorithm is key to playing it well. Web3 communities need to learn this.
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RektButStillHere
· 20h ago
This combination of numbers + question sentences is truly amazing, I have to admit I was hooked.
Wait, is this really an algorithm bug or just good copywriting?
Honestly, what Web3 needs most is people who can write headlines. Many are still using "revolutionary" and "game-changing."
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SolidityNewbie
· 20h ago
Forget it, I've been tired of this set of headline formulas for a long time. The real challenge is that the content has to live up to the headline.
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DegenGambler
· 20h ago
I'm already tired of this set of headline tricks; now they're everywhere.
Forget it, I still have to use it, after all, numbers speak.
But how to verify the 5M figure? Screenshot it?
It feels like just a traffic attraction method, the core is still content quality.
Yeah, that's right. I recently tried this template too, and it really works.
But is Twitter's algorithm so easy to fool? That's a bit outrageous.
This post itself is also using this trick... it's a bit meta.
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GasGuru
· 20h ago
It's the same old headline number game, I'm already tired of it, but it does work.
Wait, is 5M real? Still need to try it myself.
The headline tricks are indeed clever, combining numbers, timing, and rhetorical questions—experts play this way.
Feels like just a marketing template, teaching people how to scam traffic.
Twitter's algorithm, today's tricks will be invalid tomorrow, don't trust it too much.
If Web3 relies on headlines to deceive, no wonder there are all kinds of rugs.
But I have to admit, this logic is truly compelling, I want to try it myself.
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PumpingCroissant
· 20h ago
Wow, this set of headline combos is really awesome. Numbers + questions are truly algorithm's nipple tease.
5 million views still rely on psychology, not some profound mysticism.
I want to steal this move. Next time I post a tweet, I'll use it directly.
This wave of traffic went viral. Here's how it was achieved.
In just 3 days, I gained 5M views. It sounds exaggerated, but it really happened. Interestingly, this experiment helped me discover several operational logics behind Twitter's recommendation algorithm.
Here's the core breakdown—about the title, I directly used numbers and time, then hooked readers with a question. "How did I achieve 5M traffic in 3 days?" This combination not only showcases specific results but also sparks curiosity, which is why it grabs attention.
Adding a subtitle makes it even more compelling: "Twitter Recommendation Mechanism Bug? I will break down this Twitter traffic experiment in detail, showing you how I achieved 5M views in 3 days." The first half creates suspense, while the second half clarifies the promise, giving readers a reason to keep scrolling.
To summarize the pattern: a combination of time and numbers + question structure + mechanism analysis creates enough appeal. For those doing content operations in the Web3 community, this approach is fully applicable.