Crafting a Winning Marketing Strategy for Your Tokenization / Web3 Project

Karolina

28 Jun 2023
Crafting a Winning Marketing Strategy for Your Tokenization / Web3 Project

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.

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

Marketing Strategy tokanization Web3

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:

GOALKPIs
Boost User AdoptionTotal new user sign-ups, active user expansion rate, user retention percentage, growth of token holders.
Acquire Qualified LeadsLead capture volume, conversion rate from lead to customer/token holder, cost per lead acquisition.
Augment Brand RecognitionSocial media scope and engagement, website visitation rates, media citations, brand sentiment analysis.
Promote Token SalesToken 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.

example no. 1: Ecoterra's website

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.

Engage on Social Media

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.

example no. 2: DeeLance on Twitter
Example no. 3: TAMADOGE on Instagram

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.

Example no. 4: Launchpad.xyz Newsletter

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!

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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?

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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?

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