Twitter Influence — Empowering Twitter Impact 2.0

TwitterScan | NNS
4 min readJul 7, 2023

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Twitter Influence is the latest 2.0 version of the influence assessment tool developed by TwitterScan. It aims to help Web3 users discover valuable content on Twitter more efficiently, saving time wasted on irrelevant information. Additionally, it assists Web3 projects in identifying influential Twitter users, key opinion leaders (KOLs), and individuals with significant reach and impact. By analyzing critical variables such as user registration time, follower count, and tweet frequency, Twitter Influence delves deep into users’ digital footprints to assess their engagement, reach, and influence, providing a crucial metric for measuring their impact on Twitter.

In today’s dynamic and information-overloaded Web3 era, acquiring valuable insights can be increasingly challenging. Influence plays a pivotal role in determining the success of brands and individuals. Twitter, being the largest Web3 traffic gateway, harbors a significant pool of influential figures who can drive the development of the Web3 industry. Recently, Elon Musk’s decision to restrict Twitter reading capacity highlights the importance of selectively accessing meaningful tweets. In the past, users may have spent considerable time sifting through a multitude of tweets, including many irrelevant ones. However, today, users must focus on high-quality, influential tweets to ensure they do not miss out on vital information and insights.

For users, these restrictions imply a greater emphasis on their ability to filter tweets effectively. To ensure the acquisition of useful information within a limited time, users can leverage tools and services that help identify influential and valuable Twitter accounts. Twitter Influence serves as an evaluation tool that helps users swiftly identify accounts with genuine influence and meaningful content. By analyzing key variables and user interactions, Twitter Influence offers a reference metric that aids users in identifying high-quality sources, saving time, and enhancing their reading experience.

For Web3 projects, Elon Musk’s recent tweet underlines the significance of obtaining relevant and valuable information on Twitter, prompting them to seek more precise and efficient ways to filter and disseminate content. It also emphasizes the growing importance of establishing strategic partnerships with genuinely influential Twitter users as a marketing strategy. By utilizing tools and services like the Twitter Influence evaluation feature, project teams can identify accounts with genuine influence and reach, effectively promote their brand messages, and establish fruitful collaborations with key opinion leaders to accelerate their project’s development.

Hence, tools like Twitter Influence play a crucial role in accurately measuring and assessing the influence of Twitter users. By delving deep into users’ digital footprints and analyzing key metrics such as user interactions, reach, and effectiveness, Twitter Influence ensures the accuracy and reliability of its evaluation results by utilizing Twitter’s vast data set and advanced algorithmic models. By using Twitter Influence, you will gain insights into your personal influence and value, enabling everyone to become influential nodes, build personal brands, and contribute to the prosperity of Web3. Witness your reputation grow on social media platforms.

In addition to providing an influence assessment tool for individual users, Twitter Influence offers an influence API service tailored for B2B users. The Tweet Influence API showcases key opinion leaders across various verticals, accurately identifying accounts with genuine influence and reach, enabling more effective promotion, brand dissemination, and the establishment of strategic partnerships. Moreover, Twitter Influence also provides API capabilities for project teams to identify valuable users based on their influence, rewarding genuine users through airdrop activities. We open the API to all project teams, working together to build the Web3 world.

Twitter Influence is not only valuable for commercial purposes but also essential for social media governance and user engagement. By recognizing influential accounts and users, we gain a better understanding of the dynamics, needs, and opinions of social media user communities, providing valuable insights and guidance for the development and improvement of social media platforms. This allows for more accurate product positioning, enhanced brand visibility, informed decision-making based on data, and the rapid advancement of your projects.

Twitter Influence, as a metric for measuring user influence, holds significant commercial value and future development potential. By leveraging the data and API capabilities of Twitter Influence, both enterprises and individual users can better target their audience, establish their brand image, and achieve business growth and personal value enhancement. As the Web3 world continues to evolve, Twitter Influence bridges the gap between users and brands, propelling the thriving development of the Web3 industry.

Furthermore, we are pleased to announce that Trait Sniper will be the first partner to integrate with the Twitter Influence API. Trait Sniper is organizing an airdrop campaign and will utilize Twitter Influence to target influential users for airdrop distribution. This collaboration aims to encourage genuine user participation and collectively drive the development of the cryptocurrency industry.

Our team is dedicated to continuously improving and updating the functionality and performance of our tools to ensure you have the best user experience. In this information-overloaded Web3 era, utilizing our influence assessment tool will enable you to gain a better understanding of the impact of Twitter users and translate that understanding into greater success.

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TwitterScan | NNS
TwitterScan | NNS

Written by TwitterScan | NNS

TwitterScan and NNS are working together to create a cross-chain name service network that will connect people, information, and assets.

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