Idea Validation for Startups in 2024: Ensuring Your Product Fits The Market

2023 was a year of reckoning for the startup ecosystem. The heady days of unicorn valuations gave way to a sobering reality, with global venture capital investment plunging 38% compared to 2022. Seed-stage funding, the lifeblood of early-stage ventures, dropped by over 20%, forcing investors to prioritize established businesses with clearer paths to profitability. (Crunchbase)

But amidst the financial chill, whispers of a new era are brewing. 2024 is poised to be the year of strategic reinvention, where resourcefulness trumps extravagance, and value takes center stage over vanity. In this landscape, the key to unlocking success lies not in blind ambition, but in rigorous, data-driven idea validation.

Why Validate in 2024? The Stakes are Higher

In 2024, launching a product without validation isn’t just playing roulette; it’s playing Russian roulette with your limited resources. Consider these sobering statistics:

  • 50% of startups fail within the first five years, often due to a lack of market fit.
  • Up to 70% of product development costs are wasted on features users don’t want.
  • Early validation can reduce the risk of failure by up to 70%.

These numbers paint a stark picture. In this climate, idea validation isn’t optional, it’s essential. It’s the difference between scaling Everest blindfolded and navigating with a meticulously calibrated map.

Shifting Sands: The Evolving Landscape of Validation

2024 presents unique challenges and opportunities for product validation. Here are some key trends to consider:

  • The Rise of the Cost-Conscious Consumer: Value-driven solutions reign supreme. Focus on validating not just the problem you solve, but also the cost-effectiveness of your solution.
  • Digital-First Validation: Embrace online tools like surveys, polls, and social media tests to gather quick, cost-effective feedback. Consider virtual prototypes and landing page experiments to gauge early interest.
  • Data-Driven Decision Making: Leverage analytics and A/B testing to understand user behavior, measure engagement, and refine your product concept based on real-world data.
  • Collaborative Validation: Seek feedback from communities, industry experts, and potential partners. Participate in online forums, attend relevant events, and build collaborative validation frameworks.

Beyond Buzzwords: Putting Idea Validation into Action

Now, let’s move beyond theoretical insights and dive into practical strategies. Here are some effective idea validation methods for 2024:

1. Building Before Buzzing

  • Imagine the thrill of seeing 1,000 bookings within 10 months on a basic website – that’s the magic of Airbnb’s MVP. No bells and whistles, just a platform connecting hosts with travelers seeking affordable lodging. This initial traction validated the core need, paving the way for the global sensation we know today.
  • Remember Spotify? They started with music streaming, but user data whispered a different story. Over 70% actively used features like playlists and song sharing, hinting at a desire for curated listening experiences. Spotify listened, adding podcasts and evolving into the audio giant with over 433 million monthly active users.
  • Metrics are your map: Track user engagement like time spent and active features, conversion rates from downloads to sign-ups and beyond, and churn rate (lost users). A/B test different versions of your MVP – maybe that hidden feature you thought was “meh” turns out to be a user favorite! For example, if 80% of users engage with a specific functionality, prioritize its development in the next iteration.

2. Composing Innovation on a Budget

  • Think React, think Netflix, think Facebook. With over 50 million developers and 400,000+ GitHub repositories, React isn’t just a library, it’s a vibrant community creating, contributing, and innovating together. This vast support network and readily available components accelerate development without burning a hole in your pocket.
  • Consider WordPress, powering over 43% of all websites globally. This open-source giant isn’t just for bloggers anymore. Its modular nature allows developers to build custom plugins and themes, catering to diverse needs from e-commerce stores to complex business applications – all without the hefty price tag of bespoke development.
  • Metrics matter: Monitor the community size (active contributors, forum discussions), popularity of contributed libraries, and adoption by industry players. For your project, assess how many open-source libraries cater to your specific needs and the level of community support available. A thriving community translates to faster problem-solving and smoother development.

3. Painting on a Scalable Sky

  • Dropbox, the file-sharing giant, handles over 1 billion daily uploads and boasts over 600 million registered users. How? By embracing the cloud-powered flexibility of AWS. This scalability wouldn’t be possible with traditional on-premise servers, highlighting the cost-effectiveness and agility the cloud offers.
  • Picture Netflix, not just streaming movies, but reaching over 223 million subscribers in 190 countries. Migrating to the cloud allowed this global expansion, defying geographic boundaries and delivering seamless entertainment experiences wherever viewers roam.
  • Metrics like resource utilization (computing power, storage), cost reductions compared to on-premise options, and uptime percentages become your guiding stars. For your project, estimate your expected user base and resource needs to choose the most cost-effective cloud plan. Remember, the cloud scales with you, so don’t overpay for unused potential.

4. Collaborating Beyond Borders

  • Upwork is your global talent pool with over 12 million freelancers across diverse skill sets. Need a marketing wiz for your social media campaign? A data scientist to crunch your numbers? Upwork connects you with the right talent for specific tasks, eliminating the need for in-house recruitment and allowing you to scale your team as your project demands.
  • Looking at Stack Overflow, the knowledge haven with over 100 million users and 50 million questions answered. Stuck on a coding conundrum? This community-driven forum offers invaluable technical support and troubleshooting. Think of it as a brainstorming session with millions of expert minds, all eager to help you innovate and overcome challenges.
  • Metrics like project completion rates, client satisfaction ratings, and cost savings compared to hiring full-time employees guide your collaboration. For your project, identify relevant online communities, measure their activity levels, and gauge the expertise offered by members before engaging them. Remember, the right community can not only solve problems but also spark fresh ideas and propel your project forward.

Beyond Buzzwords: Your Data-Driven Roadmap to Launch (and Beyond!)

Forget the fleeting hype and empty buzzwords. Idea validation is about building a rock-solid foundation for your product, brick by data-driven brick.

You’ve analyzed user needs, tested prototypes, and measured user engagement. You’ve chosen the right tools, like open-source libraries and cloud platforms, to build with agility and cost-effectiveness. You’ve tapped into the wisdom of communities and collaborated with talented professionals.

Galaxy Weblinks isn’t just about the launch, it’s about the journey. We offer ongoing support, from optimizing your user experience to navigating changing market trends.

Let’s keep the conversation going, keep analyzing data, and keep refining your product together.

Balancing Budget and Quality: Innovations in Cost-Effective Product Development

In the tech industry, balancing innovation with budget constraints is a key challenge, especially for startups and SMBs trying to develop cost-effective products. Statistics show that about 90% of startups fail, often due to budget overruns or misaligned market fit, as stated in a report.

This blog post addresses how technology products can be developed to be both advanced and economical. We’ll explore practical strategies involving agile methodologies, the right mix of in-house and outsourced talent, and the benefits of open-source technologies. These strategies are essential for navigating the competitive tech landscape effectively and affordably.

Agile Development: The Backbone of Modern Tech Production

Agile Development has become synonymous with efficiency and adaptability in tech product development. It’s more than a methodology; it’s a mindset that empowers teams to deliver high-quality products swiftly and efficiently.

For instance, Microsoft, by embracing Agile, has been able to enhance its product development cycle, reducing its product release time significantly. According to the 14th Annual State of Agile Report, 95% of organizations report that Agile has significantly improved their time to market. 

Agile’s core benefits include:

  • Rapid Prototyping and Feedback:

Agile allows for quick creation of prototypes, inviting early feedback and enabling faster iterations. This reduces time-to-market and ensures that the final product is closely aligned with customer needs.

  • Increased Team Productivity and Morale:

Agile practices promote team collaboration and ownership, which boosts morale and productivity. Regular stand-ups, sprint planning, and retrospectives keep the team aligned and focused on common goals.

  • Risk Management and Predictability:

By breaking down the project into manageable units, Agile provides greater predictability in project timelines and budgets, helping to manage risks effectively.

Key Insight: According to VersionOne’s State of Agile report, 98% of organizations report success with Agile projects, underscoring its effectiveness in the tech development process.

The Art of Outsourcing in Tech Development

Smart outsourcing is a strategic tool for tech innovation and cost management. It involves identifying specific project areas where external expertise can supplement in-house capabilities. While in-house teams are essential, smart outsourcing can provide a complementary path to innovation and cost reduction. Outsourcing certain aspects of product development can bring diverse perspectives and specialized skills to the table.

Google, for instance, has successfully outsourced various operations, including advertising and manufacturing, allowing them to focus on their core competencies. A study by Deloitte revealed that 31% of IT services have been outsourced, underscoring its prevalence in the tech industry.

Smart outsourcing is a strategic tool for tech innovation and cost management. Key benefits in outsourcing include:

  • Access to Specialized Expertise:

Outsourcing opens the door to a world of specialized skills that might be scarce or too costly to develop in-house. This expertise can be pivotal in areas like advanced programming, AI, or data analytics.

  • Cost Efficiency:

By outsourcing specific tasks, companies can often achieve significant cost savings. This is due to lower labor costs in different regions and the ability to scale the workforce up or down as needed, without the overheads associated with full-time employees.

  • Enhanced Focus on Core Business Functions:

Outsourcing non-core activities allows your in-house team to focus on strategic initiatives and core competencies. This leads to better allocation of resources and more focused product development efforts.

Key Insight: Spotify, a leader in music streaming, has effectively used outsourcing for various functions, including application development, allowing them to focus on core competencies and innovation.

Open-Source Technologies: A Treasure Trove for Developers

Open-source technologies have democratized software development, providing a plethora of tools and platforms at little to no cost. Here’s how they can be pivotal:

Companies like IBM and Red Hat have leveraged open-source to drive innovation while keeping costs down. For instance, Red Hat’s open-source solutions have helped save organizations an average of 34% in IT infrastructure costs, as reported by IDC.

Open-source technologies offer a rich landscape for developers to innovate and collaborate. They bring forth benefits like:

  • Innovation and Collaboration:

Open-source projects are often at the forefront of innovation, driven by communities of passionate developers. They offer a platform for collaborative problem-solving and idea exchange.

  • Security and Reliability:

Contrary to common misconceptions, open-source software can be highly secure. With many eyes scrutinizing the code, vulnerabilities are quickly identified and patched.

  • Customization and Flexibility:

Unlike proprietary software, open-source technologies offer the freedom to modify and tailor solutions to specific needs, providing a great degree of flexibility in product development.

Key Insight: GitHub’s Octoverse report states that there are over 40 million developers contributing to open-source projects, showcasing the vast resources available in the open-source ecosystem.

Blending Innovation with Cost-Effectiveness

Developing tech products that are both innovative and cost-effective requires a strategic approach, combining agility, resource management, and smart technology choices. Success stories from industry giants like Microsoft and Google show the impact of these strategies on improving development efficiency and managing costs.

For startups and small to medium-sized businesses looking to achieve similar success, partnering with a seasoned player in the industry can be a game-changer. 


We have offered our expertise in MVP Development to more than 100 startup entrepreneurs, ensuring that their product not only meets market demands but is also economically viable. Read more about how we applied the above discussed strategies to develop successful products.

The Ethics of AI in Personal Data Usage: Consent, Privacy, and Trust

In the dynamic world of Artificial Intelligence (AI), the ethical management of personal data stands as a critical issue for leaders in the tech industry. As AI continues to revolutionize business operations and decision-making processes, CEOs, CTOs, and business owners must grapple with the ethical implications surrounding consent, privacy, and trust. This article delves deeper into these aspects, offering a nuanced understanding and practical insights for ethical AI implementation.

The Imperative of Informed Consent

Informed consent is foundational in ethical AI. It’s not merely a legal requirement but a demonstration of respect for user autonomy. In an AI context, consent goes beyond the mere collection of data; it encompasses understanding how the data will be used, processed, and for what purposes.

Consider Spotify’s approach to user data. The company’s AI-driven recommendations are based on explicit user consent, ensuring transparency and user control over their data. This approach not only adheres to ethical standards but also boosts user engagement by providing personalized experiences.

A survey in 2021 indicated that companies requesting data consent saw a 72% positive response from consumers, highlighting the impact of consent on customer trust and loyalty.

The issue of consent seamlessly leads to the broader and equally critical matter of privacy, a cornerstone in the ethical use of AI.

Navigating Privacy in the AI Era: The Balance Between Use and Abuse

Privacy in AI isn’t just about protecting data from unauthorized access; it’s about using data responsibly. In an age where data is a valuable asset, ensuring its ethical use is paramount for maintaining consumer trust and regulatory compliance.

The Facebook-Cambridge Analytica scandal is a stark example of privacy violation. The unethical use of data for political profiling not only led to a breach of trust but also ignited a global conversation on privacy norms in AI applications.

Post-scandal, Facebook experienced an 8% trust deficit among its users, a significant figure that highlights the tangible impact of privacy breaches on a company’s reputation.

Transparency in AI operations is the next logical step in building and maintaining user trust, a crucial aspect that underpins the ethical use of AI.

Fostering Trust Through Transparency

Transparency is about shedding light on AI processes and decisions. It involves clear communication about how AI systems work, the data they use, and the rationale behind AI-driven decisions.

IBM’s commitment to AI ethics, exemplified by their AI Ethics Board, showcases the importance of transparency. This approach not only adheres to ethical standards but also enhances trust among users and stakeholders.

A 2022 report revealed that companies with transparent AI policies have witnessed a 15% increase in consumer trust, underscoring the importance of transparency in AI.

Each industry faces unique challenges in implementing AI ethically. Understanding these challenges is key to developing tailored ethical AI strategies.

Ethical AI Applications Across Industries

  • Healthcare: AI in healthcare offers tremendous benefits in diagnostics and treatment planning. However, concerns about patient data privacy and algorithmic biases in treatment recommendations are paramount. A 2022 study indicated that 37% of healthcare AI systems exhibited bias, necessitating strict ethical controls.
  • Finance: In finance, AI is used in credit scoring and fraud detection. The key ethical challenge is to ensure algorithms do not reinforce existing societal biases. Proactive auditing of these systems has shown a reduction in biases by up to 40%, enhancing fairness in financial decisions.
  • Retail: The retail sector uses AI for personalized marketing and inventory management. Ethical considerations here include customer data privacy and the potential for manipulative marketing tactics. Ensuring transparency in how customer data is used is essential for ethical retail AI practices.
  • Automotive: In the automotive industry, AI is integral to the development of autonomous vehicles. Ethical concerns revolve around safety, decision-making in critical situations, and data privacy regarding user location and habits. The industry must address these issues to gain public trust and acceptance.
  • Education: AI in education is used for personalized learning and assessment. Ethical challenges include ensuring data privacy of students, avoiding biases in educational content, and maintaining the human element in learning. It’s crucial to balance technological advantages with ethical teaching practices.
  • Manufacturing: AI-driven automation in manufacturing improves efficiency but raises ethical concerns about workforce displacement and safety. Companies must consider the societal impact of automation and invest in reskilling programs for affected employees.
  • Entertainment: In entertainment, AI is used for content recommendation and creation. Ethical issues include respecting intellectual property rights and avoiding the creation of echo chambers through biased content recommendations.
  • Agriculture: AI in agriculture helps in optimizing crop yields and monitoring soil health. Ethical considerations include ensuring that AI technologies are accessible to small-scale farmers and that data collected is used responsibly without exploiting the farmers.

With these industry insights in mind, we can chart a strategic course for implementing ethical AI across various business domains.

Strategic Roadmap for Ethical AI Implementation

  • Regular AI Audits: Routine audits help identify and rectify biases in AI algorithms, enhancing accuracy and fairness. Studies suggest that such audits can reduce errors and biases by up to 25%.
  • Ethics Committees: Around 30% of tech companies now have AI ethics committees, reflecting a growing trend towards ethical oversight in AI development.
  • Employee Training: Continuous training in AI ethics leads to better decision-making among employees. Organizations that invest in such training have seen an improvement of 18% in ethical decision-making.

To navigate the complex landscape of AI ethics, businesses must adopt a multifaceted approach. This involves not just adhering to legal standards but also fostering a culture of ethical awareness and responsibility.

Recommendations for Ensuring Ethical AI: Building a Responsible AI Culture

  • Develop Comprehensive Ethical Guidelines: Create detailed guidelines that cover all aspects of AI use, from data collection to decision-making processes.
  • Foster a Culture of Ethical Awareness: Encourage open discussions about AI ethics within the organization. This includes regular training sessions and workshops for employees.
  • Engage with External Stakeholders: Collaborate with regulators, industry experts, and the public to stay informed about evolving ethical standards in AI.
  • Implement User-Centric Design: Ensure that AI solutions are designed with the end-user in mind, prioritizing their needs, rights, and privacy.

Conclusion

The journey towards ethical AI is ongoing and complex. By embracing a holistic approach that prioritizes informed consent, robust privacy measures, transparency, and continuous ethical education, businesses can effectively navigate this terrain. Such practices not only ensure compliance but also build a foundation of trust and integrity, essential

Key Highlights and Major Updates from OpenAI’s DevDay 2023

OpenAI’s DevDay 2023, held at San Francisco’s SVN West venue, marked a significant moment in the field of artificial intelligence. The event began with a keynote by Sam Altman, who highlighted a series of groundbreaking innovations and significant announcements setting the tone for an extraordinary gathering of tech enthusiasts.

During the event, Sam Altman extended a warm welcome to Satya Nadella, CEO of Microsoft, who was present as a special guest. In his address, Nadella acknowledged the strong partnership between Microsoft and OpenAI in developing the ecosystem, with a notable impact on Microsoft’s Azure cloud platform. He passionately emphasized Microsoft’s commitment to ensuring equitable access to top-tier AI models, underscoring, “Our mission is to empower every individual.”

Here are some of the major takeaways from the DevDay: 

Assistants API

DevDay

The new API empowers developers to integrate “agent-like experiences” into their applications. With this tool, developers can craft assistants tailored to perform various tasks, like data analysis and coding, by utilizing generative AI models. This API is complemented by Code Interpreter, OpenAI’s proprietary tool designed to write and execute code seamlessly. 

The new API allows developers to create smart assistants for tasks such as data analysis and coding, making their apps more powerful. OpenAI’s Code Interpreter also helps users write and run code with ease, simplifying the development process.

GPT-4 Turbo

GPT-4 Turbo

The latest GPT-4 Turbo introduces an impressive 128,000-token context window, surpassing Claude 2 by Anthropic, which has a 100,000-token limit. Notably, GPT-4 Turbo has the capability to incorporate images into its prompts and produce high-quality human-like speech as output. This advanced model is available in two versions: one exclusively for text analysis and another that comprehends both text and images.

With this new update, GPT-4 Turbo is like a super-smart assistant for developers and users. It can handle huge chunks of text and even understand images, making it a great help for tasks like content analysis and multimedia interactions.

Text-to-Speech Model

Text-to-Speech Model

OpenAI introduced a new tool that can turn written text into lifelike speech. It comes with six different voices to choose from. This innovation has the potential to greatly improve interactions between humans and computers.

This announcement comes in as a huge help for users and developers because it enhances human-computer interactions, making them feel more natural. Before this, text-to-speech tech often sounded robotic, so this update bridges that gap for a smoother and friendlier experience.

DALL E 3 Integration

DALL E 3 Integration

Developers can seamlessly integrate DALL·E 3 into their applications and products using OpenAI’s Images API. It’s as simple as specifying “DALL·E 3” as the chosen model. Noteworthy companies such as Snapchat, Coca-Cola, and Shutterstock have leveraged DALL·E 3’s potential to autonomously generate images and designs for their clientele and marketing campaigns.

With this new update, developers have a user-friendly way to access DALL·E 3 via OpenAI’s Images API, streamlining image and design creation. It simplifies tasks and accelerates content production, making life easier for writers, graphic designers and developers.

Custom Models Program

OpenAI launched the Custom Models program, which fosters collaboration between their researchers and businesses. This initiative is all about creating customized AI models that cater to specific needs. It’s a great way for organizations to leverage AI effectively.

OpenAI’s Custom Models program connects businesses with AI experts to create personalized AI solutions. Before this program, businesses faced challenges finding AI solutions tailored to their needs.

Improved Access

OpenAI recognized the need for better accessibility and efficiency. They’ve doubled the number of tokens their GPT-4 customers can use per minute. This simplifies the process of utilizing AI. Users also have the flexibility to request changes to rate limits and quotas directly through their API account settings.

Prior to this, users faced token limitations that hindered the effectiveness of AI applications, but now they have greater freedom to harness AI capabilities to their full potential.

Copyright Shield

Copyright Shield

To protect their users, OpenAI introduced Copyright Shield. This means that if you get into any legal trouble due to copyright issues while using OpenAI’s services, they’ve got your back. This protection covers both ChatGPT Enterprise and the API.

This initiative fills a prior gap where users were potentially vulnerable to legal challenges related to copyright issues while utilizing OpenAI’s tools, ensuring peace of mind and safeguarding their interests.

Affordability

OpenAI has made advanced AI models more affordable. GPT-4 Turbo is now considerably cheaper than GPT-4. It offers a threefold reduction in pricing for prompt tokens and a twofold reduction for completion tokens. This move aims to make this powerful technology accessible to a wider range of users.

This update addresses the previous barrier of high costs, making advanced AI models more accessible and encouraging a broader user base to harness the capabilities of GPT-4 Turbo for various applications and innovations.

GPTs and GPT Store

GPTs and GPT Store

OpenAI introduced GPTs, which allow users to customize ChatGPT for specific purposes. This feature empowers the community to actively participate in AI development by creating tailored models with expanded knowledge and actions. OpenAI is also preparing to launch the GPT Store, a platform where users can list and discover these customized GPTs. This ensures that the best and most popular models are easily accessible to all.

This means now users can create AI models that fit their specific needs, making AI more accessible and tailored. Before this, there were limited options for tailoring AI, but now it’s easy to create and share customized models.

New interface for ChatGPT

New interface for ChatGPT

The fresh look for ChatGPT is clean and straightforward. It has a sleek dark background, with the OpenAI logo and the phrase “How can I help you today?” This updated interface is designed to make switching between ChatGPT and DALL-E 3 easy. Moreover, ChatGPT will now use GPT 4 Turbo.

OpenAI’s Vision and Collaborative Strength

Above listed are some of the major takeaways from DevDay 2023. OpenAI’s AI service updates reveal their vision for AI as an enabler. “We believe that AI is going to be a technological and societal revolution,” Altman said. “It will change the world in many ways, and we’re happy to get to work on something that will empower you to build so much for all of us.”

While OpenAI hasn’t achieved AGI (Artificial General Intelligence) yet, their chief Sam Altman expressed immense enthusiasm for their collaboration with Microsoft, expressing the strength of their partnership. In a similar tone, Microsoft’s Satya Nadella expressed his sentiments, highlighting their shared mission to empower individuals and organizations worldwide through genuinely transformative AI.

9 Reasons Why you Should Not Accept Auto Update of Google for GA4

Reasons Why you Should Not Accept Auto Update of Google for GA4

Are you aware of the auto-update functionality of GA4?

Before you consider clicking that button, you need to understand the risks involved. Yes, there are risks. GA4 is different from UA in several aspects, especially in the way it is configured.

It is important to carefully weigh the risks and benefits of auto-updating versus conducting a manual migration to ensure accurate and reliable data. When it comes to websites that require multiple attributions and tracking parameters, it is highly recommended to opt for manual migration rather than depending on an automatic upgrade to ensure data capturing operates without interruptions.

Why Choose Manual GA4 Migration Over Auto-Update?

It’s better to do a manual migration when upgrading to GA4 rather than an automatic update because you have more control over the process. This means you can make sure all your data gets transferred accurately and you don’t lose any important information.

Manual migration also lets you customize GA4 to fit your specific business needs, giving you better insights. It also reduces data discrepancies that can happen during an automatic migration, so it’s easier to compare data across both platforms.

A recent survey found that 30% of businesses that did an automatic update had these issues.

Learning how to manually migrate to GA4 can also help you understand the platform better and what it can do. Doing it this way can help minimize the risks of having data discrepancies and problems with data quality. 

Benefits Of Choosing Manual Migration Over Auto Update

Manual GA4 migration provides a more accurate, customizable, and informative experience compared to automated migration. Here are 9 benefits for you to understand why exactly Manual GA4 migration is essential over auto-update:

  1. Accurate Mapping of Existing Metrics

UA and GA4 are different in several aspects, especially when it comes to certain properties like views. 

Existing properties of UA cannot be completely mapped to GA4 automatically. With manual migration, it is possible to ensure that the required metrics are obtained by using the tracking and reporting mechanism provided in GA4.

  1. Preservation of Custom Tracking Code and Implementation

While GA4 provides enhanced reporting and tracking as compared to UA, custom configuration is always required to track specific events. 

For example, if you have an eCommerce site, then you would want a breakdown of user interactions at different stages to optimize the user journey. 

Manual migration gives an opportunity to configure custom tracking based on key business objectives..

  1. Better Handling of Cross-Domain Tracking and Subdomain Tracking

With GA4, it is possible to get a consolidated reporting for domains and subdomains with better accuracy. 

The data is pulled into the central repository and presented via new reporting metrics which give better indication of user acquisition, behavior, engagement, and retention. 

With manual migration, it is easier to ensure proper setup of cross domain and subdomain tracking.

  1. Ability to Define Custom User Properties and Audiences

With GA4, it is possible to define custom user properties that will help in creating different audience segments. 

Not only are these segments useful for analysis, but also for initiating retargeting campaigns for re-engaging with users. 

Custom property creation and configuration is usually not possible with automatic updates as the process involves mapping existing configurations in the new environment. 

  1. Migration of Data from Multiple Sources and Platforms

The biggest change with GA4 is its ability to acquire metrics from multiple platforms (web and mobile), and provide a blended view of data that helps to understand user interaction and user journey better. 

Overall, this is crucial for understanding the engagement of target users with the brand through the available digital assets. If a particular brand had separate analytics for the website and mobile platforms, automatic update will not ensure collective tracking setup on GA4.

  1. Implementation of Proper Data Governance and Privacy Settings

Over the last few years, data privacy and consent have gained significance, especially when it comes to acquiring metrics. 

With GA4, the implementation of data governance and privacy settings is easier, especially when it comes to monitoring multi-platform analytics. Manual migration ensures that the configuration is done in keeping with the applicable compliances and policies.

  1. Preservation of Data Retention Policies and Data Deletion Settings

Google Analytics provides the option to define the retention time for data that is tracked by the system.

This option is driven by rules or policies that allow auto-deletion of data after a specific time duration. With the auto-update feature, the existing settings will be carried forward.

However, there is a possibility of setting up a new configuration based on the capabilities of GA4. With manual migration, you can ensure that the data deletion protocols are configured as per your business requirements (current and projected).

  1. Better Alignment of Data Collection and Reporting with Business Goals

Whether it be GA4 or UA, the eventual outcome is alignment of data collection and business goals to help key stakeholders make informed decisions. 

Automatic updates to GA4 will not be sufficient in aligning things with the current as well as project goals of the business. 

This is why it is important to get the migration done by an expert who can understand the metrics required by you and configure the relevant properties to obtain the data.

  1. Implementation of Proper Data Validation and Quality Control Checks

The GA4 auto-update is provided with the intention of assisting business owners migrate quickly to the new analytics environment without losing data. However, this does not guarantee data validation. 

It is possible that due to changes in the way GA4 is set up, some data may not come through as intended. With manual migration, you can be assured of validated and tested data collection which is usually done by the person or team undertaking the end to end migration of the analytics tool.

How Does Manual Migration Impact Reporting?

If you have a simple website that uses only the basic or standard parameters of data collection, then it really doesn’t matter whether you opt for manual or automated update. However, even if you have a single custom tracking implemented in the tool, it is important to proceed with manual migration.

Manual migration ensures:

  • Preservation of existing tracking parameters
  • Alignment of data collection with current and projected business goals
  • Setting up of custom tracking events in keeping with the capabilities of the new GA4 tool
  • Setting up for multi-platform and cross-domain tracking for unified reporting
  • Ability to get enhanced tracking metrics and insights that can help in making data driven decisions
  • Assisting in the identification of key areas which require optimization to ensure business progress.

Most importantly, the manual migration process allows the entire configuration to be validated based on different tests that are conducted for all applicable scenarios. This is really crucial for ensuring uninterrupted tracking of data as you move from UA to GA4. 

Moreover, with manual migration, you will usually get the option to get a documented backup of the historical UA data that can be stored and used as required. 

While this data cannot be integrated into GA4, it is definitely important from a business perspective to be able to evaluate past trends and prepare future forecasts. 

Is GA4 Migration Only About Adding The New Code?

Well, at the very basic level, the migration does involve replacing the analytics code. But that will not guarantee proper tracking of required metrics. So, GA4 migration is not only about adding the new code, but also about ensuring that it works as per expectations. 

The analytics team at Galaxy has been helping businesses like you migrate from their current analytics tool to GA4. As you read this, 150+ websites have already made a hassle-free migration to the new tool and have received the complete backup of their historical data.

If you are still unsure about clicking the auto-update button or negotiating with the right vendor to help you migrate to GA4, feel free to book a free consultation with our expert to know which option would be a better fit for your business.

The benefits of using Webflow for your business website

The benefits of using Webflow for your business website

Don’t judge a book by its cover.

The popular saying is applicable to books for sure, but websites? Not so much. 

Websites deal with the most extreme level of snap judgments. One that quickly influences the perceptions of credibility. It takes somewhat around 50 milliseconds (0.05 seconds) for users to form an opinion about your website—whether they like it or not, whether they want to stay or leave.

In today’s digital age, having a user-friendly and visually appealing website is critical for any business looking to succeed in the online space. It serves as the online storefront for your brand, providing potential customers with information about your products or services, and acts as a platform for online transactions. 

In our years of experience, we have seen companies struggling to create a website that accurately reflects their brand’s vision and values. Plus, problems like limited customization options, high costs, and poor website performance make it challenging for them to stand out from their competitors. 

Webflow, with over 3.5 million users, creates a website that looks great, loads fast, and works on any device. At present there are approximately 400,000 Webflow websites which are live globally.

While there are many web design platform options for you to choose from, in this article, we will be highlighting the benefits of using Webflow for your business website. 

First of all, what is Webflow?

A lot of you who have landed here might already know about it, but for those of you who haven’t, well, read on. 

Webflow is a web design and development platform that allows users to design and build websites without coding. It’s a drag-and-drop interface that enables you to create and customize your website’s layout, content, and functionality. It has gained massive popularity in recent years with a growth rate of 79% over the past year, attracting both small business owners and large corporations. 

Now that we have established the popularity and potential of Webflow let’s dive into some of its advantages.

Benefits of using Webflow for your business website

Benefits of using Webflow for your business website
  1. Ease of use

One of the primary benefits of using Webflow is its user-friendly interface. You don’t need to know how to code or have any technical experience to use it. The drag-and-drop functionality allows you to create and edit content quickly, making the website development process more accessible and efficient.

Moreover, Webflow provides various templates and pre-designed components, such as navigation bars and forms, that you can easily add to your website. You can customize them to match your brand’s style and color scheme, ensuring consistency across your online presence.

  1. Customizability

While Webflow offers templates and pre-designed components, you’re not limited to using them. You have complete control over your website’s design and functionality, allowing you to create a unique online presence that reflects your brand’s identity.

Webflow provides a vast array of design and customization options, including typography, color, layout, animations, and interactions. You can create complex designs, such as parallax scrolling and hover effects, without needing to write code.

Furthermore, Webflow allows you to integrate with third-party applications, such as Google Analytics and Mailchimp. You can also add custom code snippets to your website, giving you even more flexibility in terms of design and functionality.

  1. Responsiveness

In today’s digital landscape, having a mobile-responsive website is crucial. According to a study by Google, 74% of users are more likely to return to mobile-friendly websites. Webflow’s responsive design feature allows you to create a website that looks great on all devices, from desktops to smartphones.

Webflow’s responsive design is based on the concept of breakpoints. You can define different breakpoints for different device sizes, allowing you to create custom designs for each device type. This feature ensures that your website looks great and functions correctly, regardless of your customers’ device.

  1. SEO-friendliness

Search engine optimization (SEO) is a critical aspect of website development. It helps improve your website’s visibility on search engines, increasing the likelihood of attracting organic traffic. Webflow provides several SEO features, such as customizable meta titles and descriptions, alt tags for images, and clean code structure.

Webflow also automatically generates a sitemap for your website, making it easier for search engines to crawl and index your site’s pages. Additionally, you can easily integrate your website with Google Analytics and Google Search Console, allowing you to track your website’s performance and optimize it for search engines.

  1. Fast loading speed

Website loading speed is a crucial factor in user experience. According to a study by Google, the average mobile website takes 15.3 seconds to load, which can significantly impact user engagement and conversion rates. Webflow’s hosting service uses a content delivery network (CDN) that ensures fast loading speeds for your website.

How Webflow can help you create an ideal website

Webflow can help you create modern and responsive websites in minutes without writing a single line of code. It makes managing your website’s content easy without relying on a third-party content management system. With Webflow’s built-in CMS, you can easily add and update your website’s content without hiring a developer. 

In conclusion

Webflow is an excellent platform for service businesses for all of the aforementioned reasons. To summarize, firstly, it is extremely user-friendly and easy to use, even for those without experience in web design. Secondly, it is very affordable, especially compared to other market platforms. Thirdly, it offers a wide range of features and templates that allow businesses to create professional-looking websites with minimal effort. Finally, it provides excellent customer support, so businesses can get help when needed. So if you’re looking for the perfect platform to create a stunning, modern website without coding or learning complex web design principles, then Webflow is the way to go.

Looking for a webflow development company? Galaxy Weblinks is your answer. Take your business website to the next level with our webflow development services. Contact us today to learn more about how we can help you build a custom website using Webflow. Let’s start building your online presence together!

Build Better Apps in Less Time: 5 Reasons to Choose Low Code MVP Development

As of 2022, nearly 3 million apps are available for download on the Google Play Store. And of all people, millennials are the most active app users, with 21% opening an app 50 or more times per day.

Your analytics will reveal that most website traffic comes from mobile users. That’s why startups today want to ensure their presence on the mobile platform as long as their idea and the problem they intend to solve are feasible with a mobile app.

But here’s the catch, a growing app market can mean something other than that your new app will succeed. Especially for startups, you will know if your application will grow once you test it. Does this imply that you should invest in full-fledged development? Not quite.

There is another solution that is quite a buzzword in the industry! Many startups and app market legends, such as Spotify, Uber, Instagram, and Dropbox, have succeeded through the MVP approach. And Low-code MVPs can be especially beneficial for mobile startups working on a limited budget or timeline.

If you’re considering this approach for your startup, we recommend reading this post to learn more about it.

Build Better Apps

Why is Low Code MVP essential for mobile-based startups?

Before we get into the details, let’s talk about what an MVP and a low-code MVP are.

MVP is the primary product version you build to understand your audience better. It helps the audience know the product and what to expect from it. On the other hand, it helps businesses realize the actual value of the product and its feasibility.

MVPs allow you to determine:

  • if your users are ready for the product,
  • if they’ll be interested in using your solution, and
  • what the scope is for scaling the product.

If you get enough insights from the users of the no-code MVP, it may be worth investing in a full-fledged solution.

A Low code MVP performs the same function but involves less to no code in its creation, which comes with additional benefits for startups and small businesses since they are more efficient and cost less.

In fact, it is considered one of the quickest and most established routes to success, whether a new product or a feature upgrade.

Now let’s discuss the benefits!

Benefits of Low code MVP in mobile-based startups

Higher efficiency

As we saw earlier, No-code and low-code platforms appeal to startups because they offer ready-made tools, reusable code, pre-built integrations, and templates for various development scenarios.

According to Gartner, by 2024, 65% of development functions will be low-code.

Some solutions include in-depth analytics, monitoring, and A/B testing features to optimize system performance. Plus, they support integrations with third-party services and comply with various industry standards.

Sounds terrific, right? But wait, there is more.

Cost-saving

Efficient and costs less? What can be better than this combination?!

Low code development tools help enterprises reduce their costs by up to 84% by allowing them to spend less money hiring professional development teams, cloud specialists, and other technical jobs. Businesses also don’t need to invest in expensive hardware infrastructure, development software, and licenses.

On top of that, these tools let you build your low-code MVP with less effort.

Faster deployment

IDC found that these organizations have reduced their development lifecycle for new applications by 62% and new features by 72%, respectively.

Low-code solutions improve your company’s agility by making it easier to reuse modules and code templates, create your MVP, and get feedback from users more quickly.

All of this means that you can attract potential investors faster than your competition and get a head start on solving the issues that are holding you back, and you are all set for launch in less than half the time. Now that’s exciting!

MVP helps you identify the market demand and evaluate the customer experience.

Being a startup founder, you prefer to test and validate your product idea by creating an MVP. The concept may seem promising regarding projections and visual designs, but the actual proof of concept interacts with a tangible application.

Customer feedback is crucial, as it allows you to identify your product’s most and least appealing sides.

The reversibility, or being able to go back to make changes, is one of the key reasons why MVP development is popular among startups. If any functions are unnecessary or have bugs, fixing them or adding new features during the quality assurance testing process is much easier. This flexibility helps to implement updates smoothly and bring the release date closer.

Limitations of Low code MVP & Setting the right expectations

Like all tools, despite their benefits, developing MVPs has limitations concerning drawbacks.

Here are the primary things you must consider:

  • Technical constraints

No-code and low-code platforms might not support the features you want in your app. You might need to resort to custom development tools to overcome some restrictions.

  • Vendor lock-in

Your app can become locked into the vendor’s proprietary technology stack and lack access to the source code. So, migrating your MVP to another low-code platform will become too costly.

The most typical and crucial mistakes startups make during MVP development are fixating on minor imperfections, needing more feedback, ignoring analytics, and needing more time for release.

Developing an MVP using no-code and low-code platforms does not guarantee affordability and timeliness unless you keep the limitations in mind and stand clear of any mistakes that might happen.

DIY vs. Professional Services: Which is better?

If you are a startup, low code should assist you in delivering an MVP to market with as few resources as possible. And if you are an established brand and want to try out a new feature on your app, low code MVP can also benefit you.

On the other hand, just building an MVP does not guarantee success. Business owners must remember that creating a no-code or low-code MVP is a quick way to test their business idea, not a magic switch that improves everything about your app.

Your apps rely on coding methodology and management practices to succeed. Furthermore, your team may still need to do some custom coding to overcome the limitations of low-code technologies.

If you believe you require the assistance of an experienced software development company’s assistance, don’t hesitate to get in touch with us. We’ll make your MVP development truly affordable.

What will happen if I don’t migrate to GA4?

Google Analytics (GA) has been a go-to tool for collecting and analyzing website data and user behavior. With the launch of GA4, many people now have to decide whether to switch over or stay with Universal Analytics. This article will provide an in-depth overview of the potential repercussions of not switching to GA4. You will gain insight into the risks associated with this choice and its consequences.

Migrate to GA4

Why migrate to GA4?

The latest version of Google Analytics, GA4, was introduced in October 2020, and it is equipped with some exclusive features/benefits unavailable with Universal Analytics. These features include:

1. Enhanced User Analysis: GA4 gives you more accurate and in-depth insights into the behavior of your website visitors, allowing you to understand how they navigate and which pages they view.

2. Automatic Data Collection: With GA4, you don’t have to manually set up tracking codes to monitor user interactions on your website, like clicks, scrolls, and form submissions. It automatically collects this data for you.

3. Machine Learning Capabilities: GA4 utilizes machine learning algorithms to review your data and predict how users will act. This helps you make more educated decisions about your promotional tactics.

Risks and Consequences of not migrating to GA4

Failing to migrate to GA4 could have numerous consequences, such as

1. Limited Data Analysis: GA4 provides more detailed and accurate data, which helps to understand user behavior. Without GA4, you may not have access to new analysis tools, making it difficult to make effective decisions about your website or business.

2. Inability to Access New Features: You must upgrade to GA4 as many features are unavailable on Universal Analytics. This includes automated data collection, machine learning capabilities, and much more. You will benefit from all the advantages these extra features provide without migrating.

3. Loss of Data Access: Google has revealed that they will be phasing out Universal Analytics and will only provide technical assistance to those who still use it. If you switch over to using the GA4 version of Google Analytics, you could avoid a situation where your data and tracking information become inaccessible.

Conclusion

The switch to GA4 might appear intimidating, but its new functionalities and enhanced reporting make it worth considering. That being said, if you don’t migrate to GA4, your website will miss out on valuable data that can be used to optimize the user experience. Our team of experts at Galaxy Weblinks helps businesses like yours to make the transition of your data from existing Universal Analytics to GA4 easier and more efficient. With our help, you can rest assured that you will get all the essential insights and data.

To get started with us and to learn more about our GA4 migration service, get in touch with us today!

Things To Be Considered During Design Phase For Low Code App Development

Galaxy Low Code No Code Services

Low code solutions are all the rage these days, and their popularity as general social and technological phenomena is expected to rise. It simplifies and streamlines every application lifecycle stage, promoting ongoing connectivity by splitting the conventional IT and business boundaries. They are just as remarkable and successful as those developed by highly competent experts, even though they can be built in less time and effort.

As new technologies and features are introduced to close the gap between what someone with little to no coding abilities can do and what a full-fledged developer can do, the low code and no code solution design movement is resurgent.

According to McKinsey’s “The business value of design” study, businesses with a better user experience outperform their competitors in terms of revenue by a factor of two and shareholder returns by 21%. According to Gartner, more than 65% of application development activity will be carried out using low code platforms by 2024. This indicates that low code app development tools won’t go away, and the primary focus will be on demand for better design.

Design Challenges Of Low Code App Development

You are no longer limited by drawn-out development cycles thanks to the introduction of LCNC platforms. However, a team can face a few oft-cited design challenges during the design phase for low code development.

Improper Scalability and Reusability of UI Elements.

A low code platform might have numerous small UI components spread across several devices. And as to maintain a consistent end-user experience, even the slightest modifications to one element need to be replicated elsewhere, this leads to a design barrier.

Lack of Customization.

Each platform has a different set of customization options. While some low code no code platforms restrict editing options, others provide access to the source code. Similarly, some will let you create custom applications while others won’t. These limitations often hinder you from gaining that edge in your app.

Limited Integration Options.

Operational efficiency is the main objective of no code platforms. They must work on a core user experience and connect to older systems. It limits the ways that users can integrate. Additionally, the provider forbids third-party or internal system custom integrations.

Furthermore, managing APIs when integrating hundreds of systems is the most challenging element.

Things To Consider For Low Code Platforms During The Design Phase


1- Design for impact.

Regardless of your users’ desired solution, provide the one that best addresses their problems. By setting up a shared understanding and creating solutions, design thinking approaches can assist you in identifying unfulfilled requirements.

Therefore, compile the system design specification document that represents the software requirement specification (SRS document) from earlier phases.

Key Takeaway: Ensure your design solutions align with the problems at hand to provide exceptional customer outcomes that lead to the intended business objectives. Think about using the North Star method for goal setting to direct your planning and choices during the design process.

2- Develop a system document.

Creating a document that translates the specified low code no code platform guidelines could be extraordinarily valuable. To keep the team in sync and enable them to meet the rising demand for continuous delivery, it can be informative to specify which tools and services users could use on the platform, access permission for usage based on roles, unification of project-related data, and the keeping of all policies in one place. Additionally, people can carry out the entire project swiftly if they have all the relevant information. Expanding and enhancing digital workflows aims to combine business processes while eliminating the guesswork and maintaining team cohesion.

Key Takeaway: With the introduction of the system document, you are no longer bound to spend months interacting with an app production team. The goal is to efficiently complete the software development’s design phase while accelerating the app design and delivery.

3- Define your information architecture.

Using hierarchy manipulation throughout the designing phase is a great approach to demonstrate how the elements of your work interact, highlighting the most crucial components and detracting attention from others. These should be set as parameters to inform users of information and relevance. Having this outlined makes it simpler for the subsequent UI design stage for your team members to convert this architecture into semantic code that is simpler for assistive technology to understand.

Key Takeaway: The goal of information architecture in low code app development is to organize, structure, and classify content functionally and sustainably. The goal is to make it easier for users to access information and finish tasks.

4- Put Accessibility into Play.

If accessibility is essential to your business, you should consider it from the start. Fixing accessibility issues on already-existing websites requires more time and effort than starting from scratch with a fully accessible website. When accessibility is incorporated from the start, it maximizes the outcomes and uses fewer resources. It helps consider the diverse variety of customers that utilize your services and items.

Key Takeaway: Regardless of how big or small your project is, accessibility should be considered from the beginning if it is crucial to your business. This prompts you to consider the wide range of complex individuals utilizing our designs and code. It aids in ensuring that we don’t build any obstacles for them.

5- Conduct Design Reviews.

Sometimes all it takes to shift from mediocrity to excellence is a design review. Design reviews are carried out to ensure that the functional requirements, performance requirements, security requirements, etc., are met. The review looks into implementing certain features and analyzes a project feature or user flow prototype. It’s usually a good idea to incorporate diverse roles in the process. This lets you see your design from multiple angles and create a distinctive, organic, and intuitive end result.

Key Takeaway- It’s crucial to implement a successful design review process to get insightful feedback. With an advanced design review process like the Adalo app, your entire team can make faster and more informed decisions. Even the slightest ideas and suggestions can help to improve and simplify the user experience for everyone.

Wrapping It Up

The design stage in creating low code apps is crucial to successfully completing the software project. It yields one of the project’s two critical elements: The Design and The System. The second crucial component, the system, can only be built, practiced on, put into use, or operated with a detailed design.

The ultimate shape of the software product is substantially impacted by the quality decisions made during the design phase regarding development techniques, frameworks, configuration, implementation, software and hardware architecture, etc. Using the design checklist outlined above, you can develop enterprise-level, usable solutions that advance your business.

If you’re looking for qualified software designers and architects, Galaxy Weblinks can help. We streamline the process of offering practical answers to complex business problems.

How to migrate to Google Analytics 4: A step-by-step guide

Google Analytics 4 (GA4) is the latest version of Google Analytics, which was announced on October 14, 2020. It replaces the previous version, Universal Analytics. It includes new features such as enhanced machine learning, improved data collection and processing, and the ability to analyze cross-device and cross-platform user behavior.

Migrate to Google Analytics 4

GA4 was developed in response to the increasing complexity of the modern digital landscape, which includes a wide range of devices, platforms, and interaction types.

It was designed to provide a more comprehensive and accurate view of user behavior across all of these channels and help businesses better understand and engage with their customers.

Take a quick look at some key differences between Universal Analytics and GA4.

google analytics 4

Overall, GA4 represents a significant advancement in the capabilities of Google Analytics and is expected to become the primary version of the tool for businesses worldwide.

Steps you need to take for a successful migration to Google Analytics 4

In this step-by-step guide, we’ll walk you through the process of migrating from Universal Analytics to GA4.

Before we get started, it’s important to note that GA4 is a complete rewrite of Google Analytics, and as such, it requires a separate property in your Google Analytics account. This means you’ll be able to continue using your Universal Analytics property while you test out GA4 and make any necessary adjustments. With that said, let’s dive into the steps you need to take to migrate to GA4.

1. Set up a new GA4 property: The first step in migrating to GA4 is to create a new property in your Google Analytics account. To do this, log in to your account, click on the “Admin” tab, and then select “Create Property” from the menu on the right. Choose “Google Analytics 4” as the property type, and follow the prompts to complete the setup process.

2. Install the GA4 tracking code: Next, you’ll need to install the GA4 tracking code on your website. This code is similar to the tracking code used in Universal Analytics, but it includes some additional parameters that are specific to GA4. You can find the tracking code in the “Tracking Info” section of your new GA4 property.

3. Configure your events and parameters: In GA4, data is collected and analyzed using events and parameters. An event is a specific action taken by a user on your website, such as clicking a button or making a purchase. Parameters are additional pieces of information that can be associated with an event, such as the value of a purchase or the category of a product. You’ll need to configure your events and parameters in GA4 to ensure you’re collecting the data you need.

4. Set up your conversion goals: Conversion goals are specific actions you want users to take on your website, such as making a purchase or signing up for a newsletter. You can set up conversion goals in GA4 using the “Goals” feature in the “Admin” tab of your property.

5. Test and verify your setup: Before you entirely switch over to GA4, it’s a good idea to test your tracking code and verify that it’s working correctly. You can use the “Realtime” report in GA4 to see if data is being collected and reported in nearly real-time. You should also check that your events and parameters are being collected and processed correctly.

6. Migrate your data: Once you’ve verified that your GA4 setup is working correctly, you can begin the process of migrating your data from your previous analytics tool. This can typically be done using the “Import” feature in GA4, which allows you to import data from various sources. Be sure to thoroughly test your data after the migration to ensure everything has been transferred correctly.

7. Turn off your previous analytics tool: Once you’ve successfully migrated all of your data to GA4 and verified that everything is working correctly, you can turn off your previous analytics tool and begin using GA4 as your primary analytics solution. Be sure to double-check that all of your tracking code has been removed from your website, and consider archiving any old analytics data that you no longer need.

By following these steps, you should be able to successfully migrate to Google Analytics 4 and begin taking advantage of its new features and capabilities.

Conclusion

Google Analytics 4 can make all the difference in managing your organizational digital analytics. From setup assistance, data migration, and ongoing training, you can rely on our experts for all your needs. Contact our certified Analytics expert for a free consultation today – we’ll be happy to talk!