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Content Marketing for Tokenization Projects: Best Practices and Tips

Karolina

30 Jun 2023
Content Marketing for Tokenization Projects: Best Practices and Tips

Tokenization, the process of turning a range of assets into digital tokens on a blockchain network, has proven to be a powerful instrument that transforms industries such as real estate, finance and supply chain management. By augmenting liquidity, facilitating fractional ownership and promoting transparency and safety, it has been a game changer. Though, the success of such tokenization projects hinges largely on effective content marketing approaches.

In this article, we will delve into the prime practices and advice for content marketing curated particularly for tokenization projects. This write-up intends to provide you with useful knowledge needed to effectively promote your tokenization project via content, regardless of whether you are blockchain-based startup exploring tokenization or a service provider in the blockchain realm.

Table of Contents

Significance of Content Marketing in Tokenization Projects

Content marketing is central to propelling and ensuring the success of tokenization projects. It serves multiple functions like educating the target audience, building reputable trust and credibility and generating leads for conversions. Let's dissect each of these roles:

Audience Education

The field of tokenization is relatively uncharted territory where several prospective investors and stakeholders may lack comprehensive understanding about it's practices and benefits. Content marketing fills this knowledge void by offering educational resources.

Audience education

Crafting informative blog posts:

To educate audiences, write recurring blogs that outline basic principles of tokenization, its benefits and practical cases in an understandable manner while avoiding technical terminology.

Creating detailed whitepapers:

Whitepapers are reliable documents offering deep insights into technicalities of tokenization. Constructing whitepapers that narrate technology aspects, token economics and legal factors can exhibit your prowess in this field along with providing valuable data to potential investors.

Making explainer video content:

Due to their engaging nature, videos are excellent succinct tools for explaining complex themes. Therefore, crafting explainer videos that visually depict the process and advantages of tokenization along with real-world instances can educate a larger audience effectively.

Trust and Credibility Enhancement

Tokenization endeavours often require investors confidence and trust in the project team which content marketing can help build and bolster through:

Success stories & case studies:

By publishing positive outcomes from prior tokenization projects through practical case studies, potential investors gain confidence. Such real-life examples demonstrate the effectiveness of tokenization acting as direct proof for your venture.

Thought Leadership Pieces:

By positioning your team as thought leaders via insightful articles you can elevate your project's status within the industry steadily. Publishing assessments, analyses or futuristic concepts helps create an image of a trustworthy authority within the industry.

Conducting Expert Interviews & Opinions Sharing:

When you conduct interviews with industry professionals sharing their views on topics relating to tokenization it lends more credibility to your content. Featuring well-known industry figures allows you to utilize their expertise and popularity towards creating a credible image.

Check out our Interviews! - with Maciej Jędrzejczyk, CEE Blockchain Leader in IBM and Muffie Fulton, Sr. Director of Pharma Solutions at Chronicled

Facilitating Lead Generation & Conversion Catalysts

Efficient content marketing approaches can help in generating leads who can be turned into active contributors or investors in your project through methods like:

Optimizing Call-to-action (CTA) :

Incorporate definitive CTAs that persuasively compel readers to execute specific actions like newsletter subscription, guide download or an update sign up within your content. CTA optimization is effective in capturing leads, pushing them further within conversion funnel.

Creating & Optimizing Landing Pages:

Create specific landing pages carrying targeted information about your project serving as conversion spots. Optimized pages with convincing writing style, visually pleasing design along with lead capture forms enhance chances of conversions greatly.

Ecoterra's website - landing page

Superior Strategies for Content Marketing in Tokenization Initiatives

Boosting the effect and efficiency of your tokenization project strategy relies on the execution of content marketing best practices. These guidelines help in building a robust foundation that captures the attention and engages your target audience. Below are some exceptional practices to keep in mind:

Analysis of the target audience

A comprehensive understanding of your target audience is fundamental before formulating your content marketing strategy. It assists you in the creation of content that aligns with your audience's needs, thereby escalating its significance and influence, by identifying their demographic data, interests, problems, and preferences through detailed research and analysis.

Formulating a content strategy

An explicit content strategy governs your marketing efforts providing uniformity across different channels. Keep these steps in mind while shaping your content strategy.

Formulating a content strategy

1. Establish definite objectives:

Decide on clear measurable targets for your marketing initiative. Are you looking at raising brand recognition, achieving more leads, educating consumers, or pushing for conversions? These specifically defined aims ensure that your content lines up with expected results.

2. Identify Key Performance Indicators (KPIs):

Integrate KPIs that match your goals which can comprise website visits, engagement metrics, conversion rates for leads, email opening rates, or social media metrics. Continuous surveillance and examination of these KPIs help in evaluating the productivity of your content marketing strategy.

3. Arrange a content calendar:

Design a scheduler for planning and orchestrating content formation and distribution which should cover topics, formats, and publishing timelines for your material. A well-managed calendar ensures regularity while also facilitating strategic planning.

Crafting quality engaging material

The quality impinges on the success of your content marketing endeavors along with its resonance with consumers. Here are some tips to create intriguingly enriching material:

1. Creation of informative articles:

Commit time and resources to thoroughly research topics ensuring accurate, timely information offering valuable insights or actionable data to consumers enhancing credibility while positioning you as a trusted resource.

2. Utilize visual aids like infographics and pictures: 

Engaging visual concepts effectively presents complex ideas while making it highly appealing enhancing readership ultimately increasing it’s sharing potential

3. Incorporate storytelling methods: 

Stories deliver substantial emotional impact capturing audiences’ attention while presenting benefits aiding them towards overcoming their challenges invoking inspirations based on real-world examples or narratives

Encourage community engagement via social media

Recognizing appropriate social media platforms maximizing presence thereby fostering relationships instigating interactions absorbing feedback answering queries inviting consumer contributions further leverages additional values while boosting overall engagement

Continually employing these superior strategies continually reassessing based on analytics lifting visibility engaging audiences effectively benefiting tokenization initiatives enhancing achievements

Read more about social media in tokenization project here

Social media platforms

Tips for Effective Content Marketing in Tokenization Projects

To take your content marketing strategy for tokenization projects to the next level, consider implementing the following tips. These tips will help you maximize the impact of your content and drive better results. 

Formulating a content strategy

Increase your reach with collaboration with insiders and thought-leaders

Joining forces with thought-leaders and insiders can notably expand both the reach and credibility of your content. Here are some strategies you can adopt:

1. Interview related pros: Converse with acclaimed pros in tokenization and blockchain space maintaining the value of your content by providing different insights and perspectives. 

2. Cobrand content creation: Encourage thought-leaders to participate in co-branding webinars, podcasts or add guest posts. Their participation can magnetize their followers expanding your reach.

3. Ask for positive reviews: Display testimonials from discussed professionals or influencers with a good impression of your tokenization project on your website, aiding increased trust and credibility.

Incorporate engaging visuals and interactive formats in your content

Introduction of interactive and visual elements helps seize your audience's attention while improving engagement rate.

1. Use visual summaries or infographics: Display complex information as easy-to-understand visuals, making it easier to communicate.

2. Develop calculators or interactive tools: Craft tools that provide estimates of potential returns or aid understanding token economics.

3. Utilize animations or video formats: Exploit the usage of videos showcasing use cases, explaining concepts or highlighting the benefits of your project.

Evaluate performance metrics for refining your strategy

It's vital to analyze data periodically for enhancing your marketing efforts continually.

1. Keep track of important metrics: Using analytics tools monitor vital metrics like website traffic, conversion rates etc.

2. Test various aspects through A/B testing: Check different variations of headlines, CTAs for identifying what resonates well with the audience.

3. Active listening to audience feedback: Pay heed to feedback through surveys or social media interactions allowing you to modify your content strategy accordingly.

Keep pace with industry evolution, provide timely updates

Aligning content with latest industry trends helps maintain relevance which entices audience attention:

1. Keep an eye on latest updates: Staying informed about trending issues enables content addressing challenges and opportunities.

2. Provide analytical insights: Furnishing audience valuable insights helps build a loyal following.

3. Focus on educating the community on newer concepts: Creating tutorials aids brand positioning as a dependable resource in acquiring knowledge about industry happenings.

Customizing content according to buyer's persona boosts engagement rates

1. Segmenting market: Categorising market based on parameters such as demography helps create specific content targeting those segments.

2. Develop targeted solutions: Formulate content focusing on personal challenges and goals.

3. Automation in marketing: Implement automated tools delivering personalised user experiences based on user behaviour.

Conclusion

The driving force behind the success of tokenization projects is undeniably content marketing. Pursuing best practices and adhering to the provided advice can lead to a robust content strategy that can not only educate your audience but also build trust and generate leads. Keys for capturing the attention of your target audience include personalization, joining forces with influencers and utilizing visual and interactive content. Staying in tune with the industry trends, analyzing performance metrics, and constantly fine-tuning your content marketing techniques can fuel the progress and acceptance of your tokenization project. This approach consequently attracts investors and stakeholders, thus marking a substantial influence on the blockchain industry.

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!

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Master UI Component Creation with AI: The Ultimate Guide for Developers

Gracjan Prusik

24 Mar 2025
Master UI Component Creation with AI: The Ultimate Guide for Developers

Introduction

Modern frontend development is evolving rapidly, and creating UI components with AI tools is helping developers save time while enhancing interface quality. With AI, we can not only speed up the creation of UI components but also improve their quality, optimize styles, and ensure better accessibility.

This article explores how creating UI components with AI is transforming frontend development by saving time and improving workflows. Specifically, we will discuss:

  • Generating components from images,
  • AI for style analysis and optimization,
  • Automatic style conversion and code migration,
  • AI in generating UI animations.

Creating UI Components with AI from Images

One of the interesting applications of AI in frontend development is the ability to generate components from an image. AI can recognize the structure of the interface and generate HTML/CSS or JSX code that matches the provided image. One of the most popular tools for UI creation is Lovable.

For testing, let's see how the tool performs in creating a simple contact form from the page you are currently on, which is Nextrope.

Query:

"Recreate the image I've sent you in Next.js using CSS."

Sample image used in the query:

The result received:

Tworzenie komponentów UI - Wygenerowany widok

Lovable did an excellent job transforming the image into code. The view is fully responsive. It’s important to remember that the more precise the request, the better the AI will replicate the expected view. However, even with a simple command, the tool performed surprisingly well.

Of course, AI has its limitations. It still makes quite a few mistakes. The generated code still requires review and fixes from the developer, but in some cases, the entire process is significantly sped up—correcting the code often takes less time than creating the component from scratch.

Optimizing UI Components with AI Tools for Style Improvements

This problem of inaccurate code reproduction by AI can be partially addressed by using it to analyze and improve styles. Tools like ChatGPT, DeepSeek and Claude are capable of not only generating code but also diagnosing CSS errors and suggesting why a particular style might not be working as expected.

Simple example: Why is the div not centered?

Query: "Why is this div not centered?"

AI analyzes the code and provides the following response:

Problem: The parent container does not have a defined width or display: flex.
Solution: Add the appropriate styles to the parent container.

.parent {
  display: flex;
  justify-content: center;
  align-items: center;
  width: 100vw;
  height: 100vh;
}

AI for Automatic Style Conversion and Code Migration in UI Components

AI can assist with style conversion between different technologies, such as transferring code from traditional CSS to Styled Components or Tailwind CSS.

Let's assume we have a style written in traditional CSS:

.button {
  background-color: blue;
  color: white;
  padding: 10px 20px;
  border-radius: 5px;
  transition: background-color 0.3s ease;
}

.button:hover {
  background-color: darkblue;
}

We can use AI for automatic conversion to Styled Components:

import styled from "styled-components";

const Button = styled.button`
  background-color: blue;
  color: white;
  padding: 10px 20px;
  border-radius: 5px;
  transition: background-color 0.3s ease;

  &:hover {
    background-color: darkblue;
  }
`;

export default Button;

AI can also assist in migrating code between frameworks, such as from React to Vue or from CSS to Tailwind.

This makes style migration easier and faster.

How AI Enhances UI Animation Creation

Animations are crucial for enhancing user experience in interfaces, but they are not always provided in the project specification. In such cases, developers have to come up with how the animations should look, which can be time-consuming and require significant creativity. AI, in this context, becomes helpful because it can automatically generate CSS animations or animations using libraries like Framer Motion, saving both time and effort.

Example: Automatically Generated Button Animation

Suppose we need to add a subtle scaling animation to a button but don't have a ready-made animation design. Instead of creating it from scratch, AI can generate the code that meets our needs.

Code generated by AI:

import { motion } from "framer-motion";

const AnimatedButton = () => (
  <motion.button
    whileHover={{ scale: 1.1 }}
    whileTap={{ scale: 0.9 }}
    className="bg-blue-500 text-white px-4 py-2 rounded-lg"
  >
    Press me
  </motion.button>
);

In this way, AI accelerates the animation creation process, providing developers with a simple and quick option to achieve the desired effect without the need to manually design animations from scratch.

Summary

AI significantly accelerates the creation of UI components. We can generate ready-made components from images, optimize styles, transform code between technologies, and create animations in just a few seconds. Tools like ChatGPT, DeepSeek, Claude and Lovable are a huge help for frontend developers, enabling faster and more efficient work.

In the next part of the series, we will take a look at:

If you want to learn more about how AI is impacting the entire automation of frontend processes and changing the role of developers, check out our blog article: AI in Frontend Automation – How It's Changing the Developer's Job?

Follow us to stay updated!

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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
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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

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