As blockchain, artificial intelligence (AI), and cryptocurrencies continue to develop rapidly, tokenization and Web3 projects have been garnering substantial interest. These groundbreaking initiatives present remarkable prospects for businesses to revolutionize industries, enhance processes, and reveal previously untapped potential. Nonetheless, a meticulously crafted marketing strategy is essential for thriving in this highly competitive domain.

The goal of this article is to assist you in devising a top-notch marketing strategy tailored specifically for your tokenization/Web3 project. We will delve into the principal components that constitute a successful marketing campaign, while accounting for the distinct nature of these initiatives. By adhering to the methodologies described here, you can optimize your project's visibility, engagement, and overall triumph.

Table of Contents

Understanding the Tokenization and Web3 Landscape
Targeting Audience Definition
- Pinpointing Ideal User Personas
- Developing a Target Audience Profile
Establishing Transparent Objectives and Key Performance Indicators (KPIs)
Developing Your Distinctive Value Proposition
- Determining the Unique Selling Points (USPs) of Your Project
- Emphasizing Blockchain, AI, and Cryptocurrency Advantages
Establishing a Captivating Online Presence
Implement Performance Marketing Strategy in Web3
Conclusion - Marketing strategy in Web3
Nextrope Tokenization Launchpad Platform

Understanding the Tokenization and Web3 Landscape

Tokenization

Tokenization entails converting tangible or digital assets into distinctive tokens within a blockchain framework. These tokens may symbolize various assets such as real estate, artwork, intellectual property, or asset fractional ownership sharing. Blockchain technology application in tokenization facilitates fractional ownership support, augmented liquidity, and transparent transactions.

Discover Our Tokenization Launchpad

Web3

Web3, colloquially known as the decentralized web, signifies the internet's evolution that incorporates decentralized technologies like blockchain, smart contracts, and peer-to-peer networks. Its objective is to bestow users with authority over their data by excluding intermediaries and enabling direct peer-to-peer connections. Web3 epitomizes a fundamental transformation towards a more accessible, transparent, and user-driven internet.

Present-day Tendencies and Expansion in the Tokenization Sector:

Growing Acceptance - The tokenization sector has witnessed considerable expansion and adoption across various industries such as real estate, finance, supply chain management, and gaming. An increasing number of businesses are acknowledging the potential advantages of tokenization like enhanced liquidity, fractional ownership opportunities, and facile asset transfers.
NFTs and Digital Collectables - Non-Fungible Tokens (NFTs) have prominently risen as a major application in the tokenization arena. NFTs facilitate the possession and exchange of distinctive digital assets like art, music, virtual real estate, and collectibles. The escalating interest and high-profile sales of NFTs have drawn more attention to the tokenization industry.
Decentralized Finance (DeFi) - The decentralized finance (DeFi) sector's growth has also been heavily influenced by tokenization. DeFi platforms harness blockchain and tokenization to provide decentralized services like lending, borrowing, and trading. The DeFi ecosystem has seen impressive growth, drawing the attention of both institutional and individual investors.

Process - Marketing Strategy for Your Web3 Project

Targeting Audience Definition

For a successful tokenization/Web3 project marketing strategy, clear target audience definition is essential. This enables you to cater your messaging, channels, and methods to those most likely to be intrigued by and benefit from your project. Follow these main steps for defining your target audience:

Pinpointing Ideal User Personas

Investigation and Assessment

Conduct comprehensive research to grasp the potential users' traits, preferences, and behaviors for your tokenization/Web3 project. Take into account factors like age, gender, location, and professional history. Delve into their motivations, obstacles, and aspirations associated with tokenization and Web3 technologies.

Audience Segmentation:

Divide your target audience according to common attributes, requirements, and behaviors. You might have groups such as blockchain enthusiasts, investors seeking new asset classes, or companies aiming to utilize tokenization for better efficiency. Distinct marketing approaches may be needed for different segments due to unique needs and motivations.

Developing a Target Audience Profile

Challenges and Motivations:

Comprehend the issues, pain points, and motivations concerning tokenization and Web3 projects that your target audience encounters. This understanding enables you to adapt your messaging and positioning to align with their aspirations and necessities.

Preferred Communication Channels:

Identify which communication channels are preferred by your target audience. Are they actively involved in social media networks or online forums? Or do they attend industry events? Knowing their channel preferences will help you allocate resources effectively.

Establishing Transparent Objectives and Key Performance Indicators (KPIs)

For gauging the success of tokenization/Web3 project marketing initiatives, it is vital to create transparent objectives and determine key performance indicators (KPIs). By setting quantifiable targets and monitoring pertinent data, you can assess the efficacy of your marketing approach. Here are the steps for formulating objectives and KPIs:

Setting Targets in Line with Vision and Mission

Defining Specific Objectives:

Ascertain the precise outcomes you want from your marketing endeavors. Examples of these goals may be raising user adoption, acquiring qualified leads, augmenting brand recognition, or promoting token sales. Guarantee that your objectives are in harmony with your project's vision and mission.

Establish Goals as Quantifiable:

Provide a numerical value to your objectives, rendering them quantifiable. For example, rather than a vague goal like "boost user adoption," indicate a specific figure or percentage, like "enhance user adoption by 20% within six months."

Design Realistic Timeframes:

Formulate practical timeframes to reach your objectives. Take into account your project's timeline, industry tendencies, and resources allocated for marketing operations. Divide long-term objectives into smaller achievements for more effective tracking and evaluation.

Determining Relevant Key Performance Indicators (KPIs)

KPI is an acronym for key performance indicator. KPIs measure performance and progress toward a specific goal over time. They help keep the primary goals of a business at the forefront.

Metrics for User Engagement:

Gauge user interactions with marketing campaigns and materials. KPIs can comprise data such as website visits, page views, bounce rates, time spent on the site, social media engagement (likes, shares, comments), and email open and click-through rates.

Metrics for Conversion:

Assess user conversion across multiple marketing channels. KPIs may encompass the volume of qualified leads produced, conversion percentages at various customer journey stages, and the proportion of leads transforming into paying clients or token holders.

Metrics for Brand Awareness:

Measure the prominence and acknowledgement of your tokenization/Web3 project. KPIs can consist of brand mentions, media exposure, social media scope and impressions, search engine standings, and sentiment evaluations.

Token Metrics:

If relevant, monitor specific data concerning your project's token, like token sales figures, market capitalization, liquidity, and trading volumes on exchanges. These metrics offer insights into market receptiveness and the demand for your token.

Examples of Potential Goals and KPIs for Tokenization/Web3 Projects:

GOAL	KPIs
Boost User Adoption	Total new user sign-ups, active user expansion rate, user retention percentage, growth of token holders.
Acquire Qualified Leads	Lead capture volume, conversion rate from lead to customer/token holder, cost per lead acquisition.
Augment Brand Recognition	Social media scope and engagement, website visitation rates, media citations, brand sentiment analysis.
Promote Token Sales	Token sales figures, total number of token holders, average transaction amounts, trading volumes on exchanges.

Table with examples of KPIs for Tokenization / Web3 Projects:

Developing Your Distinctive Value Proposition

For the successful promotion of your tokenization/Web3 project, a powerful and captivating value proposition is crucial. It conveys the unique benefits and features that your initiative provides to prospective users. To create an exceptional value proposition, consider these steps:

Determining the Unique Selling Points (USPs) of Your Project

Pinpoint Key Characteristics and Benefits:

Examine your tokenization/Web3 project to pinpoint its exceptional features and advantages. Look at how it uses blockchain, AI, and cryptocurrencies for a clear edge over traditional alternatives. Focus on elements like enhanced efficiency, transparency, security, cost reduction, access, or asset ownership democratization.

Comprehend User Frustrations:

Recognize the difficulties or issues your target audience encounters in relation to the industry or problem your project tackles. Align your USPs with resolving these frustrations and providing solutions that resonate with the needs and goals of your audience.

Emphasizing Blockchain, AI, and Cryptocurrency Advantages

Focus on Transparency and Trust:

Emphasize the assurance of transparent and immutable transactions through blockchain technology, augmenting trust among users. Clarify how your project employs blockchain to maintain a safe and verifiable record of asset ownership and transactions.

Highlight Efficiency and Automation:

Demonstrate how your project utilizes AI and smart contracts to streamline processes, lessening manual labor and increasing operational efficiency. Accentuate the cost and time savings possible via automation.

Advocate for Financial Inclusion and Access:

Accentuate the possibility of achieving financial inclusion and access for traditionally underprivileged populations through cryptocurrencies and tokenization. Exhibit how your project democratizes asset ownership, enabling fractional ownership or investment opportunities previously unattainable.

Establishing a Captivating Online Presence

For your tokenization/Web3 project, it is vital to create a captivating online presence that enables you to connect with your target audience, establish credibility, raise brand awareness, and develop meaningful relationships with prospective users. Consider these strategies to cultivate an engaging online presence:

Construct a Comprehensive Website

Design a visually attractive and user-friendly website that mirrors your project's brand identity.

Convey the value proposition, primary features, and advantages clearly.

Offer educational materials, such as blog posts, tutorials, and FAQs, to inform users about tokenization and Web3 concepts.

Enhance your website's search engine optimization (SEO) to boost organic discoverability.

Generate Compelling Content

Create top-notch content that educates, informs, and entertains your target audience.

Compose blog posts, whitepapers, or case studies that demonstrate thought leadership and tackle industry challenges.

Produce captivating videos, infographics, and podcasts to diversify your content offerings.

Encourage user-generated content like testimonials or success stories, enhancing trust and authenticity.

Determine which social media platforms are most popular among your target audience.

Develop engaging posts, updates, and visual content to encourage engagement and sharing.

Interact with your audience by quickly responding to comments, messages, and mentions.

Collaborate with industry experts and influencers for increased reach and cross-promotion.

Connect with Online Communities

Participate in relevant online communities, including forums, social media groups, or Slack channels centered around blockchain, Web3, or cryptocurrency topics.

Actively contribute to discussions, provide valuable input, and address questions related to your project's area of expertise.

Establish yourself as a trusted and knowledgeable community member while avoiding overt promotion.

Cultivate a Lively Community

Establish communication and collaboration channels, like dedicated Telegram or Discord groups.

Encourage community members to share their experiences, ask questions, and provide feedback.

Organize events such as webinars or AMAs (Ask Me Anything sessions) for direct engagement with your community.

Recognize and reward active participants to develop a sense of belonging and loyalty.

Implement Performance Marketing Strategy in Web3

Focusing on quantifiable outcomes and adopting marketing strategies based on data and analytics, performance marketing can help optimize ROI. Good marketing strategy helps achieve objectives for your tokenization/ Web3 project. Consider these approaches:

Establish Conversion Tracking

Utilize tools like Google Analytics or Facebook Pixel to track user actions on your website or landing pages.

Monitor conversions like sign-ups, token purchases, or specific actions to assess your marketing campaign's efficacy.

Execute Targeted Advertising Campaigns

Employ social media platforms like Facebook Ads or LinkedIn Ads to reach particular audience segments based on demographics, interests, or behaviors.

Experiment with different ad messaging, targeting options, and creatives to optimize campaigns and boost conversions.

Implement Search Engine Marketing (SEM)

Use paid search advertising tools like Google Ads to rank highly in search engine results for pertinent keywords.

Perform keyword research and refine your ad copy to attract qualified traffic to your website or landing pages.

Capitalize on Email Marketing

Generate an email list of potential customers and interested users through lead generation campaigns.

Segment your email list according to user engagement or interests for personalized, targeted email campaigns.

Employ email marketing to nurture leads, share project updates, and promote events or offers.

Examine and Analyze Performance

Regularly assess performance metrics like click-through rates, conversion rates, cost per acquisition, or return on ad spend (ROAS).

Optimize marketing campaigns using data insights, identify areas for improvement, and allocate resources efficiently.

By employing performance marketing strategies, you can enhance your marketing endeavors, increase campaign efficiency, and attain improved outcomes for your tokenization/Web3 project. In subsequent sections, we will delve into the significance of trust and credibility building

Conclusion - Marketing strategy in Web3

To succeed in the competitive realm of tokenization and Web3 projects, a well-structured marketing strategy is crucial. Gaining an understanding of the environment, identifying your target audience, establishing clear goals and KPIs, formulating a distinctive value proposition, and creating an interactive online presence help enhance visibility and achieve objectives. Utilizing performance marketing tactics and concentrating on trust-building measures further augment your project's potential. Adopt these approaches to ensure your project thrives in this evolving sector.

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!

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

AI vs. Tradition: Key Implementations of AI in Real Estate
Integration of AI with Blockchain in Real Estate
The Future of AI in Real Estate: Trends and Forecasts
Conclusion

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.

The Future of AI in Real Estate: Trends and Forecasts

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

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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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.”

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:

How does AI speed up UI component creation? A review of techniques and tools
Automated frontend code refactoring – how AI improves code quality
Code review with AI – which tools help analyze code?

Stay tuned to keep up with the latest insights!