AI & Machine Learning

Web3 Development

NFT & Metaverse

Blockchain Development

Blockchain Solutions

Products

Get in Touch
arrow-left Back to ‘Today at Nextrope Blog’

Leveraging Social Media and Influencer Marketing for Tokenization Success

Karolina

29 Jun 2023
Leveraging Social Media and Influencer Marketing for Tokenization Success

Tokenization, a compelling tool in this digital age, has radically transformed the way businesses view and trade their assets. The triumph of any venture into tokenization relies on robust marketing techniques. Among the multitude of strategies, capitalizing on social media and influencer marketing has proved to be a significant game changer. In this article, we will be delving into how marketing plays a pivotal role in the success of tokenization and how exploiting social media and influencer collaborations can maximize the output. Gear up to unravel how these two potent strategies can boost your tokenization endeavor to unprecedented heights within the digital scenario.

Table of Contents

Before reading this article, be sure to read out this post.

Marketing's Significant Influence on Tokenization

Benefits of tokenization, which involves transmuting real-world assets into blockchain-based digital tokens, can only be completely harnessed with a comprehensive marketing strategy. Let's delve into the monumental impact of marketing on the triumph of tokenization.

Raising Awareness and Fostering Curiosity

Identifying target audience : For effective promotional campaigns, it is fundamental to establish the distinct demographic, interests and challenges of your intended audience.

Comprehensive market research: A rigorous assessment of the market renders an understanding of the competitive climate, recognition of trends, and the discovery of valuable insights shaping marketing approaches.

Developing a persuasive value proposition: Communicate lucidly to potential investors, users and stakeholders about the distinct value and merits of your tokenization initiative. Emphasize its problem-solving capacity and its superiority over conventional mechanisms.

Constructing Reliability and Assurance

Value of transparency in tokenization ventures: Open disclosure concerning project specifications, team composition, alliance, and action plan breed trust within the community and prospective investors.

Employing marketing outlets to reinforce trust: Harness different promotional mediums like your website, social media forums, and industry publications to exhibit the authenticity and trustworthiness of your initiative.

Highlighting success narratives and endorsements: Demonstrating practical applications, success chronicles and commendations from contented users or investors aids in building dependability whilst boosting confidence in your tokenization venture.

Through execution of a well-founded marketing strategy, corporations can effectively heighten awareness, stimulate curiosity, and foster trust for their tokenization projects. We will further ascertain how social media alongside influencer marketing could augment these endeavors for successful tokenization in subsequent sections.

Utilizing Social Media for Successful Tokenization

In the current era of global connectivity, social media has become a significant aspect of our everyday lives. Given its extensive reach and engagement capacity, it serves as an efficacious instrument for propagating and securing success in tokenization initiatives. Let's dive into how companies can employ social media to heighten the influence of their tokenization attempts.

Basic Understanding of Social Media Platforms

1. Facebook: Offering an array of active users in billions, Facebook provides a varied user base and sophisticated advertising features to tap into a large audience.

2. Twitter: Renowned for instantaneous updates and succinct communication, Twitter permits companies to interact with specialists in the industry, influential persons, and participate in discussions pertinent to tokenization.

3. LinkedIn: Positioned as a professional networking site, LinkedIn empowers companies to develop thought authority, associate with probable investors, and interact with a targeted audience.

4. Instagram: Characterized by its visual appeal, Instagram is excellent for illustrating tokenization projects via enticing images and films, alluring chiefly to a younger and visually-inclined demographic.

5. Youtube: For longer videos, tutorials, vlogs.

Establishing a Prominent Social Media Standing

1. Formulating a Uniform Brand Tone and Messaging: Build an integrated brand persona and tone across social media platforms to assure consistency in your communication and explicitly express your project's distinctive value.

2. Creating Engaging Material for the Defined Audience: Design informative and aesthetically pleasing material like articles, infographics, films, and live feeds to instruct and captivate your intended audience about tokenization along with its benefits.

3. Promoting User-Sourced Content and Interaction: Actively motivate your community members and followers to contribute their experiences, views, and endorsements concerning your tokenization scheme. This incites interaction and generates a community feel around your label.

Applying Social Media Advertising Features & Targeting Tools

1. Paid Advertisements & Sponsored Content: Employ specific advertising options provided by social media platforms to cater to distinctive demographics and interests related to your tokenization initiative. Sponsored content can further assist in enhancing visibility and reach.

2. Accurate Audience Targeting Based on Demographics & Interests: Capitalize on the advanced targeting features offered by social media platforms for defining your audience based on factors like age, location, profession, and hobbies ensuring content dissemination amongst the most appropriate individuals.

3. Usage of Analytics for Optimization & Tracing ROI: Leverage analytics tools provided by social media platforms for monitoring your campaign performance, recognizing areas requiring enhancement, & evaluating the return on investment (ROI) of your social media promotional endeavors.

By tactically utilizing social media platforms, companies can augment their impact area; interact with their desired audience; cement robust online visibility for their tokenization schemes. In the subsequent segment, we will examine the potential role of influencer marketing towards accomplishing success in tokenization.

Tokenization and Influencer Marketing

The growing field of influencer marketing is becoming a potent strategy for the promotion of goods and services, and contains a great deal of untapped potential for aiding in the success of tokenization projects. Companies can expand their reach and build reliance by forming alliances with influential personalities in the sphere of blockchain and cryptocurrency. The following will examine essential aspects of how influencer marketing has pertinence to tokenization.

Exploring Influencer Marketing

Understanding the Concept: Influencer marketing is the process of teaming up with people who have garnered a massive and significant following in a specific industry or section. These influencers can persuade the sentiments and actions of their audience, making them an invaluable asset for propagating tokenization ventures.

Pinpointing Pertinent Influencers in Cryptocurrency and Blockchain

Discovering Thought Leaders, Industry Gurus, and Influencers: Undertake exhaustive research to pinpoint influencers who are versed in areas like blockchain technology, tokenization, and cryptocurrencies. Probe for individuals who have significant audience size and engagement on platforms such as Twitter, Youtube, and blogs specific to the industry.

Assessing Engagement Levels and Audience Scope: Evaluate aspects such as the influencer’s demographics of the audience, size, and engagement rates through likes, comments, shares. Verify whether their audience correlates with your target customer base so that they have an active follower base.

Formulating Partnerships with Influencers 

Establishing Genuine Connections with Influencers: Approach influencers authentically expressing interest in their work to develop a partnership that benefits both parties mutually. Engage actively with their content, provide valuable insights, thus fostering trustworthy connections based on shared principles.

Collaborating for Content Creation: Work in alignment with influencers for the production of exciting content that enlightens their audience about the benefits of tokenization. This can be achieved by sponsored posts, opinion pieces as guest bloggers, interviews, or collaborative videos.

Endorsements from Influencers: Trust in a tokenization project gains a significant boost if it is endorsed or recommended by influencers. Spurring on influencers to discuss your project candidly amongst their followers will prove beneficial.

Regulatory Compliance: Make sure that your influencers comply with regulatory guidelines and provide complete disclosure concerning their partnerships. Abiding by legal protocols while maintaining ethical standards is paramount to building credibility.

By pairing up with influencers who can extend their reach into wider networks and audiences effectively validates tokenization projects’ effectiveness. An overview of best practices for successful tokenization campaigns utilizing social media and influencer marketing will be discussed subsequently.

Optimal Strategies for Social Media and Influencer Marketing

Businesses must adopt best practices to optimally utilize social media and influencer marketing in their tokenization projects, ensuring enduring success through enhanced engagement and credibility. Below are some critical pointers.

Regularity and Diversity in Content Publications

Maintain a routine posting schedule: Regular dissemination of engaging and valuable material aids in establishing a robust digital footprint across social media platforms. Consistency cultivates trust while keeping your audience engaged.

Variety in content types: Experimenting with an array of content types such as articles, videos, infographics, live streams could cater to diverse tastes and captivate your followers.

Supervision of and Response to User Interaction

Monitor social media interactions: Stay up-to-date with all comments, messages, and mentions pertaining to your tokenization project. An immediate response to user inquiries or feedback demonstrates dedication to customer satisfaction.

Promote and acknowledge user-created content: Bolster community engagement by encouraging users' contribution towards your project-related content and appreciating their input publicly. This tactic amplifies engagement and fortifies the relationship between your brand and followers.

Key Metric Evaluation and Performance Analysis

Specify measurable targets: Key performance indicators like engagement rate, reach, website traffic, conversions should be set in place to gauge the success rate of social media campaigns along with the influencer marketing strategy.

Implementation of analytics tools: By utilizing the analytics provisions by social media or third-party interfaces, you gain a deeper understanding of user patterns, content efficacy, audience demographics that further help optimise your marketing techniques.

Comply with relevant norms: Keep yourself updated on legal norms around tokenization within advertisements in the blockchain or cryptocurrency industry. Maintain this compliance to ensure an ethical approach to marketing.

Transparency in influencer collaborations: Choose influencers who abide by disclosure requirements mandating them reveal their relationships when promoting your tokenization project. Honesty enhances credibility aiding in building trust.

The importance of constant innovation, optimization along staying abreast industry developments is critical for an enduring success in marketing these tokens. The next section concludes with an overview on the significance of both social media based and influencers' marketing within this realm coupled with a compelling call for businesses to incorporate such strategies within their marketing initiatives.

Conclusion

Capitalizing on social media and influencer marketing is a vital step forward for businesses aiming to harness the full benefits of tokenization and elevate their projects in the digital realm. Tokenization projects gain momentum and achieve success through these strategies by tapping into a broader audience base, building authenticity and sparking curiosity. It involves adherence to best practices such as posting content regularly, engaging actively, and conforming to regulations. This efficient marketing strategy optimization promises astonishing outcomes.

Nextrope Tokenization Launchpad Platform

Nextrope Launchpad Platform is a White Label solution in a Software-as-a-Service model that helps you launch your project within a month and fundraise with Initial Coin Offering (ICO) or Security Token Offering (STO).

Our platform allows you to participate in the broad financial market of digital assets. Expand your reach and find investors globally. Tokenize your project and start raising capital within a month!

Tagi

Most viewed

Never miss a story

Stay updated about Nextrope news as it happens.

You are subscribed

AI in Real Estate: How Does It Support the Housing Market?

Miłosz Mach

18 Mar 2025
AI in Real Estate: How Does It Support the Housing Market?
Table of Contents

The digital transformation is reshaping numerous sectors of the economy, and real estate is no exception. By 2025, AI will no longer be a mere gadget but a powerful tool that facilitates customer interactions, streamlines decision-making processes, and optimizes sales operations. Simultaneously, blockchain technology ensures security, transparency, and scalability in transactions. With this article, we launch a series of publications exploring AI in business, focusing today on the application of artificial intelligence within the real estate industry.

AI vs. Tradition: Key Implementations of AI in Real Estate

Designing, selling, and managing properties—traditional methods are increasingly giving way to data-driven decision-making.

Breakthroughs in Customer Service

AI-powered chatbots and virtual assistants are revolutionizing how companies interact with their customers. These tools handle hundreds of inquiries simultaneously, personalize offers, and guide clients through the purchasing process. Implementing AI agents can lead to higher-quality leads for developers and automate responses to most standard customer queries. However, technical challenges in deploying such systems include:

  • Integration with existing real estate databases: Chatbots must have access to up-to-date listings, prices, and availability.
  • Personalization of communication: Systems must adapt their interactions to individual customer needs.
  • Management of industry-specific knowledge: Chatbots require specialized expertise about local real estate markets.

Advanced Data Analysis

Cognitive AI systems utilize deep learning to analyze complex relationships within the real estate market, such as macroeconomic trends, local zoning plans, and user behavior on social media platforms. Deploying such solutions necessitates:

  • Collecting high-quality historical data.
  • Building infrastructure for real-time data processing.
  • Developing appropriate machine learning models.
  • Continuously monitoring and updating models based on new data.

Intelligent Design

Generative artificial intelligence is revolutionizing architectural design. These advanced algorithms can produce dozens of building design variants that account for site constraints, legal requirements, energy efficiency considerations, and aesthetic preferences.

Optimizing Building Energy Efficiency

Smart building management systems (BMS) leverage AI to optimize energy consumption while maintaining resident comfort. Reinforcement learning algorithms analyze data from temperature, humidity, and air quality sensors to adjust heating, cooling, and ventilation parameters effectively.

Integration of AI with Blockchain in Real Estate

The convergence of AI with blockchain technology opens up new possibilities for the real estate sector. Blockchain is a distributed database where information is stored in immutable "blocks." It ensures transaction security and data transparency while AI analyzes these data points to derive actionable insights. In practice, this means that ownership histories, all transactions, and property modifications are recorded in an unalterable format, with AI aiding in interpreting these records and informing decision-making processes.

AI has the potential to bring significant value to the real estate sector—estimated between $110 billion and $180 billion by experts at McKinsey & Company.

Key development directions over the coming years include:

  • Autonomous negotiation systems: AI agents equipped with game theory strategies capable of conducting complex negotiations.
  • AI in urban planning: Algorithms designed to plan city development and optimize spatial allocation.
  • Property tokenization: Leveraging blockchain technology to divide properties into digital tokens that enable fractional investment opportunities.

Conclusion

For companies today, the question is no longer "if" but "how" to implement AI to maximize benefits and enhance competitiveness. A strategic approach begins with identifying specific business challenges followed by selecting appropriate technologies.

What values could AI potentially bring to your organization?
  • Reduction of operational costs through automation
  • Enhanced customer experience and shorter transaction times
  • Increased accuracy in forecasts and valuations, minimizing business risks
Nextrope Logo

Want to implement AI in your real estate business?

Nextrope specializes in implementing AI and blockchain solutions tailored to specific business needs. Our expertise allows us to:

  • Create intelligent chatbots that serve customers 24/7
  • Implement analytical systems for property valuation
  • Build secure blockchain solutions for real estate transactions
Schedule a free consultation

Or check out other articles from the "AI in Business" series

Tagi

AI-Driven Frontend Automation: Elevating Developer Productivity to New Heights

Gracjan Prusik

11 Mar 2025
AI-Driven Frontend Automation: Elevating Developer Productivity to New Heights

AI Revolution in the Frontend Developer's Workshop

In today's world, programming without AI support means giving up a powerful tool that radically increases a developer's productivity and efficiency. For the modern developer, AI in frontend automation is not just a curiosity, but a key tool that enhances productivity. From automatically generating components, to refactoring, and testing – AI tools are fundamentally changing our daily work, allowing us to focus on the creative aspects of programming instead of the tedious task of writing repetitive code. In this article, I will show how these tools are most commonly used to work faster, smarter, and with greater satisfaction.

This post kicks off a series dedicated to the use of AI in frontend automation, where we will analyze and discuss specific tools, techniques, and practical use cases of AI that help developers in their everyday tasks.

AI in Frontend Automation – How It Helps with Code Refactoring

One of the most common uses of AI is improving code quality and finding errors. These tools can analyze code and suggest optimizations. As a result, we will be able to write code much faster and significantly reduce the risk of human error.

How AI Saves Us from Frustrating Bugs

Imagine this situation: you spend hours debugging an application, not understanding why data isn't being fetched. Everything seems correct, the syntax is fine, yet something isn't working. Often, the problem lies in small details that are hard to catch when reviewing the code.

Let’s take a look at an example:

function fetchData() {
    fetch("htts://jsonplaceholder.typicode.com/posts")
      .then((response) => response.json())
      .then((data) => console.log(data))
      .catch((error) => console.error(error));
}

At first glance, the code looks correct. However, upon running it, no data is retrieved. Why? There’s a typo in the URL – "htts" instead of "https." This is a classic example of an error that could cost a developer hours of frustrating debugging.

When we ask AI to refactor this code, not only will we receive a more readable version using newer patterns (async/await), but also – and most importantly – AI will automatically detect and fix the typo in the URL:

async function fetchPosts() {
    try {
      const response = await fetch(
        "https://jsonplaceholder.typicode.com/posts"
      );
      const data = await response.json();
      console.log(data);
    } catch (error) {
      console.error(error);
    }
}

How AI in Frontend Automation Speeds Up UI Creation

One of the most obvious applications of AI in frontend development is generating UI components. Tools like GitHub Copilot, ChatGPT, or Claude can generate component code based on a short description or an image provided to them.

With these tools, we can create complex user interfaces in just a few seconds. Generating a complete, functional UI component often takes less than a minute. Furthermore, the generated code is typically error-free, includes appropriate animations, and is fully responsive, adapting to different screen sizes. It is important to describe exactly what we expect.

Here’s a view generated by Claude after entering the request: “Based on the loaded data, display posts. The page should be responsive. The main colors are: #CCFF89, #151515, and #E4E4E4.”

Generated posts view

AI in Code Analysis and Understanding

AI can analyze existing code and help understand it, which is particularly useful in large, complex projects or code written by someone else.

Example: Generating a summary of a function's behavior

Let’s assume we have a function for processing user data, the workings of which we don’t understand at first glance. AI can analyze the code and generate a readable explanation:

function processUserData(users) {
  return users
    .filter(user => user.isActive) // Checks the `isActive` value for each user and keeps only the objects where `isActive` is true
    .map(user => ({ 
      id: user.id, // Retrieves the `id` value from each user object
      name: `${user.firstName} ${user.lastName}`, // Creates a new string by combining `firstName` and `lastName`
      email: user.email.toLowerCase(), // Converts the email address to lowercase
    }));
}

In this case, AI not only summarizes the code's functionality but also breaks down individual operations into easier-to-understand segments.

AI in Frontend Automation – Translations and Error Detection

Every frontend developer knows that programming isn’t just about creatively building interfaces—it also involves many repetitive, tedious tasks. One of these is implementing translations for multilingual applications (i18n). Adding translations for each key in JSON files and then verifying them can be time-consuming and error-prone.

However, AI can significantly speed up this process. Using ChatGPT, DeepSeek, or Claude allows for automatic generation of translations for the user interface, as well as detecting linguistic and stylistic errors.

Example:

We have a translation file in JSON format:

{
  "welcome_message": "Welcome to our application!",
  "logout_button": "Log out",
  "error_message": "Something went wrong. Please try again later."
}

AI can automatically generate its Polish version:

{
  "welcome_message": "Witaj w naszej aplikacji!",
  "logout_button": "Wyloguj się",
  "error_message": "Coś poszło nie tak. Spróbuj ponownie później."
}

Moreover, AI can detect spelling errors or inconsistencies in translations. For example, if one part of the application uses "Log out" and another says "Exit," AI can suggest unifying the terminology.

This type of automation not only saves time but also minimizes the risk of human errors. And this is just one example – AI also assists in generating documentation, writing tests, and optimizing performance, which we will discuss in upcoming articles.

Summary

Artificial intelligence is transforming the way frontend developers work daily. From generating components and refactoring code to detecting errors, automating testing, and documentation—AI significantly accelerates and streamlines the development process. Without these tools, we would lose a lot of valuable time, which we certainly want to avoid.

In the next parts of this series, we will cover topics such as:

Stay tuned to keep up with the latest insights!

Tagi