Builder必看, 如何在Twitter上推广你的新NFT项目?

FastDailyОпубликовано 2022-12-29Обновлено 2022-12-29

Введение

要建立一个NFT社区,你需要知道所有这些问题的答案。

每天勤勤恳恳日更公众号有什么用,NFT和加密爱好者的首选社交网络一定会回答我是Twitter。

很多朋友不知道,我们不仅英文站,还有一些加密行业常用的社交媒体平台(链接放在文末了),公众号上经常让我感到很无奈,好多很不错的内容,却连个预览都发不出去,丢给我一句“可能违反相关政策”就直接显示了被删除。

虽然最近一段时间我们由于“阴阳交替”,严重精力不足,顾不上更新其他平台的内容,但今天还是准备跟大家聊一聊很多项目方在早期做运营的时候最关心的问题,该如何写出吸引收藏者注意的推文呢?如何瞄准正确的用户人群?最重要的是,如何让项目与人们建立真正的联系?

要建立一个NFT社区,你需要知道所有这些问题的答案。

我应该发什么推特?

“人们不看广告,他们只看自己感兴趣的东西,有时那就是广告。”——Howard Gossage

你推文是下面这样的吗?

对于这样的推文,只有一种合适的回复方式:shut the fuck up

如果你想了解人们会在Twitter上与哪些内容产生联系,请关注下面这些数据。

在图表中,你可以看到折扣或促销是Twitter用户最不感兴趣的内容类型。

赠品对那些想要赢得NFT的人很有吸引力,但太多的赠品会让普通Twitter用户感到厌烦,这给人感觉就像垃圾邮件。

在尝试销售你的NFT的过程中,你需要以娱乐、启发、教育或讲故事的形式为社区提供价值。每6-8条推文中只有一条应该含有销售内容。

就像Gary Vee关于社交媒体营销的畅销书《Jab, Jab, Jab, Jab, jab, …. Right Hook》写的一样,你不会想在每条推特上都打出致命一击。

创建内容

思考该在twitter上发布什么内容既紧张又耗时。你绝对不想让你的内容看起来很大众化。

如果没人回复怎么办?会不会很尴尬?你应该删除它吗?

别着急。我将向你展示一些在短时间内创建内容的简单方法。

关于推文内容并没有严格的规定,但有4种主要类型可以很容易地与你的项目主题相匹配。

主要的NFT推文类型包括呼吁行动推文、观点推文、新闻推文、教育推文和表情包。

它们都以各自的方式提供价值或娱乐。

行动呼吁(CTA)推文

行动呼吁推文会号召浏览者去做某事。你可以呼吁他们在OpenSea上购买你的NFT。

你可以让他们加入你的Discord。但要确保不要让他们一次做太多行动……

“当你呼吁了三个行动时,就相当于根本没有进行行动呼吁。从手机屏幕上看到这些乱七八糟的链接和短文的客户一定非常困惑。我们根本不知道应该先把注意力集中在哪里。——Gary Vee

你可能会看到一些NFT赠品推文要求采取许多步骤,但这些大多是由机器人参与的。

有一些SMM板块出售Twitter机器人的转发和点赞,它们甚至可以在评论中tag好友数千次。

与加密/非加密领域的所有事物一样,外观可能具有欺骗性。需要仔细观察细节,以确定什么是真正在发生的和有效的。

要实际看待你的NFT的价值

当你在设计你的CTA赠品推文时,要确保奖品值得人们付出努力。

如果没有人听说过你的NFT,你不能要求人们付出太多努力来赢得它。

为了让你的赠品更有吸引力,你可以试试:“任何与这条推文互动的人都有资格获奖。”

此外,添加现金奖励也很有帮助,比如给赢家200美元的ETH!

如果你要送出一个价值50万美元的Bored Ape,那就要求人们tag好友、加入Discord,并让他们付出些其他什么代价。

观点推文

这类内容是我最喜欢的,简单来说就是俩字,“输出”。

在其关于NFT和Twitter的YouTube视频中,Fungible先生解释了为什么意见在Twitter上很重要。

“你希望那些和你有相似价值观和信仰的人关注你……因为他们更有可能参与你发布的内容。”

所以在推特上发表观点是在推特上获得正确追随者的一种有机方式。那种会被你的推文吸引的人。

我最喜欢的作家Hunter S. Thompson通过一遍又一遍地抄写《了不起的盖茨比》小说来学习写作。

如果你发现很难想出观点推文,可以尝试重新编写现有关于NFT或Web3的流行推文。

你将以自己的方式传播已经引人入胜的想法,并获得经验,最终创作出自己的原创观点推文。

以下是取自@DCLBlogger的一个病毒性观点推文的例子:

“最大的财富转移发生在你是对的,而大多数人最终都错了的时候。”

我们可以快速地把这句话用我们自己的话写成一条观点推文:

当你是对的,而大多数人是错的时候,金钱是最容易到手的。

新闻推文

新闻类内容是我最快乐也最头疼的,因为总是要第一时间赶热点,虽然扒皮讲故事很快乐,但经常会牺牲掉我宝贵的睡眠时间。

新闻推文是不言自明的,但有一件事让我很恼火,那就是当人们在推特上发布新闻链接时,推特不希望人们离开它的平台。毕竟所有的社交网络都以吸引你的注意力为目标。

因此,当你在OpenSea上发布一个关于NFT新闻的链接,甚至是你自己的NFT时,Twitter会裁剪图片,使其在feed中不具吸引力。

看看左边的例子……

如何发推文

NFT社区的每个人都想学习新东西。在你的推文中添加NFT指南或教程是个好主意。

你可以使用谷歌搜索博客或Medium文章。它们可以简单如“如何设置Metamask”,也可以复杂如“如何在Polygon上创建一个节点”。

通过囊括教程推文,你将能够了解有关web3的最新信息,并为你的粉丝提供价值。

创建Twitter日程

作为一个每天惨兮兮更内容的人,我掏心掏肺的和大家说一句切身经验,别指望自己每天都发推特,这是不可能的。

为了获得粉丝,你需要与推文保持一致,并覆盖一天中的不同时间。

你可以使用任何社交媒体软件中的日历选项,将一个月的推文安排在一个周日下午。

很多人会使用Twitter附带的免费软件Tweetdeck。它对于一些基本的发布是没有问题的,但如果你想建立一个有效的Twitter增长系统,我推荐Social Champ。

我就是用它来管理数百个NFT项目的社交媒体账户的。

在Twitter上保持一致是建立NFT社区的良好开端。

总结

现在你知道了,不要只是照搬别人在推特上的做法。因为那就像盲人给盲人引路一样。相反,找到你自己独特的方式为NFT社区带来价值。

你已经准备好了创作4种不同类型的Twitter内容,你知道在哪里可以找到示例和灵感。

每天都有各种各样的推文,通过创作有价值的内容,你将在推特上获得信任和新的粉丝。

当你有了自己的系统来持续发展一个有价值的推特账户时,你就可以花更多的时间与你希望与之建立个人联系的人联系。

Похожее

Claude Requires ID Verification and Facial Recognition? The Facial Recognition Requirement is an Old Story from Two Months Ago, and "Sharing Data with Police" is a Misinterpretation

Anthropic's updated privacy policy, effective July 8th, has sparked misinterpretations in Chinese social media, primarily concerning new identity verification and data sharing with law enforcement. A detailed comparison reveals these claims are largely unfounded. First, identity verification (including submitting government ID and a live selfie via third-party provider Persona) is not a new July policy. This mechanism was actually implemented in mid-April 2026 for certain high-use or flagged accounts, particularly Claude Max subscribers. The July update merely formally documents this existing practice in the policy text under a new "Verification Data" section. Second, the widespread claim that the new policy lowers the threshold for sharing user data with law enforcement is incorrect. Comparing the new text with the old version (dated September 28, 2025) shows no substantive tightening. While the new policy more clearly structures the conditions for disclosure—including having a "good-faith belief" it's necessary for legal compliance, preventing harm, fraud detection, or enforcing terms—the old policy already allowed Anthropic to disclose data based on its judgment for similar reasons (e.g., protecting safety, preventing fraud, or complying with law). The term "good-faith belief" acts as a limiting standard, not a lowered barrier. A 2025 court case where Anthropic resisted disclosing user data in a copyright lawsuit further demonstrates the complexity of such standards. The policy's actual substantial changes address data flows for Claude's Agent capabilities. New clauses clarify that when users connect third-party services or instruct Claude to perform multi-step tasks (reading files, sending messages), their inputs, outputs, and instructions are shared with those third parties, governed by the third parties' own policies. This update fills a compliance gap for Claude's evolving functionality beyond simple Q&A. Other additions include a "Research Participation Data" section and refined marketing legal bases. Anthropic reaffirms core commitments: not selling user data, keeping Claude ad-free, and allowing users to control if chats are used for model training. Overall, this update is primarily a compliance catch-up to existing product features, not a significant new privacy tightening. The heightened concern stems from conflating April's verification rollout, standard legal clauses, and the genuine new provisions regarding Agent tasks.

marsbit1 мин. назад

Claude Requires ID Verification and Facial Recognition? The Facial Recognition Requirement is an Old Story from Two Months Ago, and "Sharing Data with Police" is a Misinterpretation

marsbit1 мин. назад

The World Cup Has Only Just Begun, But AI Predictions Already Have Models Hailed as 'Godly' and Others Flipping Over

After only a few days of the World Cup, AI models are being widely used for match predictions, with mixed early results. These models analyze details like scores, upsets, red cards, and key players, offering users in prediction markets an extra layer of analysis beyond odds and news. Qwen gained early attention for its remarkably accurate calls on the opening day, correctly predicting Mexico's 2-0 win over South Africa and Korea's 2-1 victory over the Czech Republic, while also highlighting red card risks and match flow. Copilot had its own highlights, accurately forecasting the Mexico 2-0 result, the Korea 2-1 win, and a surprising 1-1 draw between Brazil and Morocco. However, it also misjudged several matches, like predicting a Swiss win that ended in a draw with Qatar and missing Australia's upset over Turkey. ChatGPT provided detailed pre-match analysis and correctly called the Mexico 2-0 score, explaining factors like home-field advantage. Yet, it struggled to anticipate upsets, often siding with the stronger team on paper, as seen in its missed calls for the Australia-Turkey and Japan-Netherlands matches. Social media tests pitted models like Gemini, Grok, and Claude against each other for the same games, revealing different predictive "scripts" even for the same fixture. Overall, while AI models like Qwen and Copilot have shown promising, high-profile successes in early matches, their consistency and ability to predict genuine upsets remain in question. As the tournament progresses, more data will be needed to determine which models offer the most reliable insights for prediction markets.

Odaily星球日报5 мин. назад

The World Cup Has Only Just Begun, But AI Predictions Already Have Models Hailed as 'Godly' and Others Flipping Over

Odaily星球日报5 мин. назад

The Unfinished Tale of Jueying, DaXiao Robotics Swiftly "Raises Funds"

Following a major fundraising round involving several prominent investment institutions, DaXiao Robotics, a company backed by SenseTime, has secured hundreds of millions of US dollars in financing for the first half of 2026. This move signals SenseTime's renewed and substantial bet on "Physical AI" through embodied intelligence, following the relative underperformance of its autonomous driving unit, Jueying. While Jueying achieved mass production partnerships in the smart vehicle sector, it failed to become a pivotal player in the high-level autonomous driving landscape, leading to its gradual independence from SenseTime's core financials. DaXiao Robotics now emerges as SenseTime's next major venture into the physical world. The new funding will focus on developing a "world model" and integrated hardware-software solutions for commercial applications like retail, security, and hospitality. This ambition is significantly more complex and capital-intensive than previous projects. A world model requires understanding spatial relationships, physics, and causality to guide robots in long-term tasks, demanding immense computational resources, data, and engineering. The article highlights several challenges. First, the massive funding, while substantial, may still be strained by the high costs of R&D, data collection, and commercial deployment. Second, SenseTime itself, despite narrowing losses, continues its high-investment growth model and cannot solely bankroll this new, expensive endeavor. Third, DaXiao Robotics, led by SenseTime co-founder Wang Xiaogang, carries the technical heritage and resources of its parent company but also potentially its organizational inertia. It operates in a field increasingly dominated by agile, young technical founders. Ultimately, DaXiao Robotics represents SenseTime's attempt to secure a leading industrial position in embodied intelligence—a goal its Jueying unit did not fully achieve in autonomous driving. The new venture starts with strong capital backing, but faces the critical task of rapidly transitioning from technological narrative to sustainable commercial delivery in an early-stage, costly, and highly competitive arena.

marsbit15 мин. назад

The Unfinished Tale of Jueying, DaXiao Robotics Swiftly "Raises Funds"

marsbit15 мин. назад

Crypto 2029: The Ultimate Forecast for the Four-Year Cycle of the Cryptocurrency Industry

Title: Crypto 2029: The Ultimate Four-Year Cycle Prediction for the Encryption Industry This article outlines a detailed, stage-by-stage prediction for the crypto industry from the present to 2029, focusing on tangible shifts rather than abstract theory. Key predictions include: **2026 Mid-Year:** The market shifts focus from traditional tokens to synthetic perpetual contracts for private company shares (e.g., SpaceX on Hyperliquid), which become primary price discovery tools for pre-IPO assets. Most altcoins languish as the market seeks assets with real underlying value. **2026 Year-End:** The "AI + crypto" narrative fades as the AI industry itself does not require crypto infrastructure, except for prediction markets betting on model performance. Concurrently, a quiet institutional adoption of asset tokenization (e.g., money market funds) begins under new regulations like the CLARITY Act, creating a dual economy. **2027:** Major public blockchain foundations pivot decisively to serve institutional clients with compliance tools and enterprise sales, while quietly building infrastructure for a future wave of accredited retail investors. Three sectors hit growth ceilings: private perpetual contracts (due to legal restrictions on marketing), stablecoins (due to political uncertainty ahead of the 2028 US election), and tokenized assets (due to cautious institutional scaling). **2028:** Speculative trading diminishes as market efficiency drains liquidity. A major liquidation cascade in synthetic perpetual contracts exposes the flaw of lacking a legally enforceable underlying asset. In response, regulations are revised to allow marketing of private security secondary sales to accredited investors. This creates a legal, direct market for private company equity, absorbing much of the demand previously met by synthetic derivatives. **2029:** A new bull market emerges, driven not by tokens but by tradable equity in innovative private companies (biotech, robotics, AI). Tokens without legally enforceable claims to real assets lose all liquidity. Successful blockchains become invisible settlement infrastructure. Stablecoins grow steadily at a policy-capped rate. Speculation becomes a niche. Core Questions Answered: 1. **Token Value:** Determined solely by legally enforceable claims to real-world assets. 2. **Tech Adoption:** Achieved through blockchain-based primary/secondary markets for private equity, not through forcing tokens onto tech firms. 3. **Crypto as Infrastructure:** The transition happens silently; the technology becomes a mundane, unseen utility like traditional settlement systems. The entire thesis hinges on one testable variable: by late 2028, whether accredited retail investors gain legal, direct access to private asset markets. If not, the core premise—that legal frameworks, not technology, are the main bottleneck—fails.

Foresight News22 мин. назад

Crypto 2029: The Ultimate Forecast for the Four-Year Cycle of the Cryptocurrency Industry

Foresight News22 мин. назад

Торговля

Спот
Фьючерсы

Популярные статьи

Manyu: восходящая мем-звезда на Ethereum, готовая открыть новую эру культуры Shiba

Manyu - это мемтокен на Ethereum, который приносит децентрализованную культурную и развлекательную ценность через вирусное влияние в соцсетях и вовлечённость сообщества.

2.0k просмотров всегоОпубликовано 2025.11.27Обновлено 2025.11.27

Manyu: восходящая мем-звезда на Ethereum, готовая открыть новую эру культуры Shiba

Неделя обучения по популярным токенам 14: Glamsterdam — самое ожидаемое обновление Ethereum в 2026 году

Ordinals/Runes по-прежнему стимулируют доходы от комиссий за блоки и активность разработчиков, рассматриваются как отправная точка «нативной эмиссии активов» в сети.

1.5k просмотров всегоОпубликовано 2026.04.29Обновлено 2026.04.29

Неделя обучения по популярным токенам 14: Glamsterdam — самое ожидаемое обновление Ethereum в 2026 году

Обсуждения

Добро пожаловать в Сообщество HTX. Здесь вы сможете быть в курсе последних новостей о развитии платформы и получить доступ к профессиональной аналитической информации о рынке. Мнения пользователей о цене на ETH (ETH) представлены ниже.

活动图片