How to Create a DAO- Decentralized Autonomous Organization?

Organizations are hierarchical traditionally, and control flows from top to bottom. Traditional organizations require people to trust each other, or at least those at the top, and power is centralized in the hands of a few.

These concepts are against what modern internet-native organizations want- trustlessness, transparency and decentralization. Decentralized Autonomous Organizations (DAOs) fulfill that need.

What is a DAO?

A decentralized autonomous organization justifies its name. It’s a governance style for decentralized applications (DApps), projects and crypto-investment funds, whose roots lie in decentralization.

A DAO is a community-owned, decentralized, autonomous organization automated by code and open for participation. Its autonomous quality comes from smart contracts that run processes without human intervention, offering trustlessness.

A DAO is created and run by a community, which collectively partakes in decision-making, funds management and project undertakings. DAOs have been continually improving since 2016 when Ethereum’s capital fund, “The DAO”, suffered an attack due to a vulnerability in its code.

Today, DAOs are the top choice for the governance of Decentralized Finance (DeFi) projects.

Related: Everything You Need to Know About the Bitcoin Lightning Network

Advantages of Building a DAO

DAOs offer significant advantages for crypto projects.

  • Trustlessness – The most important benefit of DAOs comes from their reliance on smart contracts that reside on the blockchain. This way, proposals for change can be voted for, automatically posted on the blockchain and trigger a proposed change. Results can’t be censored or rigged.
  • Community organization – DAOs allow anonymous communities to work in tandem. Participants have no accountability to a real identity and need to trust people they don’t know. The underlying technology guarantees the integrity and allows a socially and culturally diverse community to collaborate.
  • Cheap – DAOs are affordable for the functionalities they offer. They can be set up at no cost or for a small fee.
  • Decentralized – A DAO holds its members accountable for its decisions. A single person or group doesn’t have any special powers in a DAO and thus lacks complete control.
  • Innovative and growth-committed – Since a DAO has no hierarchical structure, any stakeholder can propose an innovative idea that other members consider and improve. Internal disputes are easily solved through voting, as per pre-written rules in the smart contract.
  • Principal-agent dilemma – Decentralized autonomous organizations solve the principal-agent dilemma, which highlights a conflict in priorities of a person or group (the principal) and those making choices on their behalf (the agent). Community governance ensures principals or stakeholders don’t need to trust anyone but the code. DAOs also allow people to work as part of a group with aligned interests and incentives.

Related: Is the Crypto Industry Doomed After the FTX Collapse?

Requirements to Create a Decentralized Autonomous Organization

A successful DAO doesn’t happen by default. Here’s what it needs.

Structure

If you’re planning on creating a DAO from scratch, defining its core structure is key. There are many ways a decentralized structure could serve an organization or project. Find out how it might serve you. 

Here are a few questions to help you decide on a structure-

  • What do you expect to achieve with a DAO?
  • What decisions would you want your DAO to facilitate?
  • Is your company culturally ready to shift to a community-led decentralized structure?
  • What difficulty do you face in your industry that a DAO could resolve?
  • Would your community, customers and partners benefit from a decentralized structure?
  • Can you launch without a DAO?
  • What technical and human resources do you need to build and launch a DAO?
  • Are you prepared to play with the changing dynamics of the crypto markets?

Type of DAO

The next decision to make is choosing the type of DAO you want. DAOs as a concept are still in their nascent stages, but there are quite a few exciting areas for their application, such as:

  • Protocol DAOs that focus on governance via decentralized protocols. MakerDAO and Uniswap are examples of protocol DAOs.
  • Investment DAOs bring together investors and crypto owners to support startups and innovative ideas. These enforce governance rights through smart contracts.
  • Grant DAOs also support fresh initiatives but are reserved only for DeFi projects. The Uniswap Awards are one of the most popular DAO grants.
  • Social DAOs support social networking within crypto communities via digital democracy, where every idea is worth hearing. Blockster is a social DAO.
  • Collector DAOs allow NFT artists to demonstrate ownership of their work. PleasrDAO, for instance, brings together NFT collectors, DeFi promoters and digital creators.
  • Media DAOs reinvent how content producers and consumers engage with media. Instead of advertising-based revenue models, these DAOs use token incentives to reward producers and consumers for their time with an ownership stake in a given outlet. Forefront is an example.
  • Entertainment DAOs let creators bring ideas to life while maintaining control over their administration. Flufworld is an example where members customize 3D NFT Fluffs and license them.
  • Philanthropy DAOs aid social responsibility projects in Web 3.0. The Big Green DAO is the first charity organization raising awareness about growing food.

Purpose

DAOs are a way to organize a project, fund or organization, which is futile without a purpose and reason. What is the underlying purpose driving your DAO?

Voting mechanism

A DAO needs to start with a chosen third-party or custom-created voting mechanism. This is the primary way a DAO’s participants interact among themselves and propose and vote for changes.

Governance token- supply, allocation and incentives

Getting the governance token right allows a DAO to fundraise efficiently and garner support from the original community. DAO tokens are useful in-

  • Offering incentives, rewards and perks to community members.
  • Voting and governance on DAO processes.
  • Opening wider opportunities for community development.

Choosing token supply volume and allocating them is crucial for DAO development to achieve business growth. Like any other project, early investors of a DAO expect rewards in return. So, it’s crucial to maintain funds for the capital needs of the DAO and reward the founding community.

Community

Community is one of the foundational pieces of a DAO. as the community grows, decentralization gets more robust, and power spreads across more stakeholders. Community creation is a priority when developing a DAO cluster, as it becomes the backbone of the project’s expansion.

An engaged, interactive and strong community that freely participates in the management and decision-making of the DAO defines its success.

Fund management and DAO treasury

After completing the DAO token’s ICO supply, you need to guarantee the security of the collected funds. Most DAOs have a treasury or access to some crowdfunding, usually held in a multi-signature wallet, accessible if all key participants agree. 

Some popular DAO treasury tools are Gnosis Safe– a reliable and lightweight solution for DAOs without specialized use cases, Multisis– an analytics tool built on Gnosis for multi-wallet fund tracking and reporting, Llama– a tool that allows more sophisticated analytics and proposal linkages and Parcel– a tool that enables mass payouts in ETH/ERC-20 and offers a comprehensive analytics dashboard.

Related: Sustainability and Web3- The Environmental Impact of the Metaverse

3 Solutions to Create a DAO

DAOs need a mechanism to manage votes and proposals from members. There is a wide array of open-source solutions to help do that. Here are a few popular ones-

  • Aragon – Aragon facilitates DAO building on Ethereum, Polygon, Andromeda and Harmony. Aragon project is itself run by a DAO with its non-profit organization to manage its funds. Here’s more information on creating a DAO using Aragon.
  • Snapshot – This is a customizable off-chain voting mechanism using digital signatures via wallets to cast votes based on a snapshot of token owners. A block is selected, and all token holders have their holdings captured. This prevents users from buying more tokens to influence a vote. Off-chain voting works best for multi-chain projects where users hold governance tokens across blockchains. Here’s more information on creating your voting system on Snapshot.
  • DAOstack Alchemy – DAOstack Alchemy allows DAO creation on Ethereum and Gnosis Chain (previously xDAI). Their interface allows users to create a simple DAO, add members and start an organization. Learn more about DAOstack Alchemy here.

Successful DAOs

Here are successful DAO examples to get inspired.

MakerDAO

MakerDAO is one of the most stable and earliest DAOs. It enables the generation of DAI, cited as the world’s first unbiased currency and a leading decentralized stablecoin. The peer-to-peer decentralized protocol is based on the Ethereum network and facilitates borrowing, lending and saving. It allows borrowing funds in DAI.

Users need Ethereum and a MetaMask wallet to lend themselves money in DAI. Users can lock up some ETH in MakerDAO’s smart contract to create DAI.

Aave

Aave is a DeFi lending platform originally built on the Ethereum network, with all tokens (ERC20) also using the Ethereum blockchain. Aave has since expanded to other blockchains, including Avalanche, Fantom and Harmony.

Aave uses a DAO in that it’s governed and operated by users who hold and vote with AAVE tokens. Besides project changes, Aave governance also votes on new projects on the protocol and Aave Grants to fund ideas.

Uniswap

Uniswap was one of the first DeFi applications to gain huge traction on Ethereum. It is a decentralized exchange that uses the governance token UNI to allow users to vote on protocol changes. The multi-chain Automated Market Maker (AMM) inspired many DeFi projects.

Users must hold at least 0.25% of the UNI’s total supply to submit a new proposal to the DAO. And, a governance forum exists where users debate changes.

Related: Why Build in Web3

Challenges of Managing a DAO

  • Legal liabilities – Members of a DAO may face unlimited liability, so they don’t just risk capital investment. DAOs aren’t corporations and don’t conform to the legal formalities expected of a traditional organization. Since DAOs aren’t recognized as legal entities in the US, they don’t enjoy corporate privileges or government protection. This means legal issues within a DAO are extremely hard to resolve. Furthermore, DAO members are anonymous and not accountable for their identity in the community. In this case, KYC is a luxury, and the lack of it is a legal liability.
  • Free-rider problem – Smart contracts are logical and must be balanced with social contracts and staking mechanisms like reputation. Without value, purpose and incentive assigned to each member of a DAO, some individual contributors can avoid taking any responsibility while still benefitting from the system. DAOs often address the free-rider issue with tools such as community events, social value propositions and exclusivity. Inactive token holders can derail decisions and disrupt the functionality of a DAO.
  • Decision-making challenges – When decision-making requires expertise, decentralization might backfire. Consider everyone in a large traditional organization voting to decide on a content strategy for the quarter. A large token holder in a DAO without adequate experience may negatively impact decisions. Some DAOs may navigate this problem with a governance structure where members vote to select qualified personnel who then make critical decisions transparently. However, that departs us from complete decentralization, a dear vision for many web3 enthusiasts.

The technical part of creating a DAO isn’t the only aspect of it, as running it successfully involves a lot of other moving parts. For assistance and consultation around your DAO idea, speak to an expert at KiwiTech.

Top IoT Trends to Watch for in 2023

The Internet of Things (IoT) describes the proliferation of physical objects connected to the internet and capable of communicating and sharing information with us and each other. IoT devices include smartphones, industrial sensors, smart home appliances, smart cars and accessories.

As per the latest State of IoT – Spring report 2022, IoT connections only grew by 8 percent in 2021 to reach 12.2 billion active endpoints due to the recent chip shortage. Once chip supply increases and IoT growth accelerates, there will be 27 billion active IoT devices by 2025.

The Global Connected Devices Analytics Market report estimates the market to be USD 22.16 billion in 2023 and reach USD 60.48 billion by 2028, growing at a CAGR of 22.24 percent. 

IoT devices continue to share, collect and store data to help inform decisions across industries and use cases. Let’s look at the top Internet of Things trends in 2023.

Related: How IoT is Optimizing Supply Chains for Efficiency and Accuracy

Top IoT Trends

  • Digital Twins and Simulations for Web3

The Internet of Things technology will be a primary driver of the metaverse as IoT devices bridge the physical and digital reality. The immersive version of the internet will rely upon IoT devices to let users access virtual shops, stores, businesses and houses through their digital avatars.

Web3 will simulate real-life experiences using an interconnection of IoT architecture and data analytics built on cloud technologies. For instance, a gaming application in Web3 will not only offer a visual and audio experience but might also increase a user’s heart rate or make them feel the gush of air on their skin.

Simulated environments have plenty of other use cases in the metaverse, such as learning and development, research, disaster management, etc. 

 Digital twins of office spaces, manufacturing units and showrooms in Web3 will help businesses market their services/products in an immersive and digital ecosystem. Retail stores can use IoT data to customize store plans in real-time to reflect user behavior and interests. The opportunities are endless with IoT in Web3.

Related: How Deep Tech Startups Can Tackle Specific Manufacturing Problems with IoT

  • IoT Cybersecurity 

Verkada, an online video surveillance service, was hacked in March 2021. Hackers accessed the private information of Verkada’s clients and live feeds from 150,000 cameras installed in factories, schools, prisons, hospitals and other sites using admin account credentials from the internet.

A subsequent investigation discovered that over 100 Verkada employees had super admin privileges, lending them access to customer cameras and creating cyber risk.

IoT cybersecurity is a top trend as devices become increasingly inexpensive, accessible and forgotten. Zero trust architectures are necessary as they take infrastructure perimeter to its furthest end when a user, application, device or API tries to access a network.

The right cybersecurity solutions classify IoT devices, build risk profiles, assign them to IoT device groups, apply policies and enable monitoring, inspection and regulation based on network activity.

Related: Internet of Things and Cybersecurity- Challenges and Best Practices

  • IoT in Healthcare 

The global internet of things in healthcare market is expected to reach USD 861.3 billion by 2030 after growing at a CAGR of 16.8 percent between 2023 and 2030, as per Grand View Research.

Here’s how IoT plays a role in healthcare’s various facets-

  • For patients – IoT can help the healthcare industry shift from fee-for-service to a value-based model and provide effective healthcare outcomes at reasonable costs. Patients can play an active part in their healthcare journey through self-monitoring and diagnosis using connected wearables. IoT also makes healthcare services accessible to underserved populations and geographies.
  • For practitioners – Physicians can track patients’ health- monitor adherence to and impact of treatment plans with remote patient monitoring using wearables. IoT also enables practitioners to act promptly at any deviation from usual, triggering early intervention and enabling better outcomes.
  • For healthcare organizations – Besides providing valuable healthcare outcomes to patients, hospitals can use IoT to track medical equipment in real-time, deploy staff at various locations, track hospital hygiene, manage pharmacy inventory, assign practitioners to patients and control the environment within premises.
  • IoT Governance and Regulation

Accelerating IoT adoption, persistent security threats and the high sensitivity of IoT data create the need for regulatory actions. While legislators have fallen behind innovation historically, IoT regulations and governance have matured in due time.

The US signed the IoT Cybersecurity Improvement Act of 2020 on December 4, 2020, giving the National Institute of Standards and Technology (NIST) authority to manage IoT security risks for devices the federal government acquires.

The Cybersecurity Act came into force on June 27, 2019, in the UK and the EU and empowered the European Union Agency for Network and Information Security (ENISA) mandate to help member states address cybersecurity threats.

Post-Brexit, the UK proposed IoT Cybersecurity Law in January 2020 to shift the responsibility of security away from consumers and toward device makers.

In 2023, the EU is to introduce strict IoT security regulation, which Reuters reports is titled the Cyber Resilience Act. Once signed into law, smart device manufacturers will need to review their products’ risk profiles and fix any discovered vulnerabilities. And, companies will need to notify the ENISA within 24 hours of threat discovery.

Related: What Startups Need to Know Before Investing in IoT

The Internet of Things is driving the future of business and living, and 2023 will move the industry forward in meaningful ways. For mentorship, resources and support to grow your IoT idea into a flourishing business, reach out to us at KiwiTech.

AI and ML Becoming Necessary in Cybersecurity

A recent IT trends report found that IT professionals face a looming challenge with the growing complexity of new security tools and technologies, increased tech requirements and fragmented legacy and modern technologies that further complicate and widen the attack surface.

Cybersecurity is now out of the scope of manual handling and warrants artificial intelligence.

Why Today’s Enterprises Need AI/ML for Security

The COVID-19 global pandemic pushed organizations toward rapid digital transformation to ensure business continuity without allowing the luxury of ensuring cybersecurity. As a result, every industry saw an uptick in cyberattacks and breaches. 

81% of global companies experienced increased cyber threats during the pandemic, while 79% of organizations suffered downtime due to security risks during peak business season. Google blocked 18 million COVID-related scams daily. Average ransomware payment amounts surged by 60 percent during the second quarter of 2020, and daily cybercrime complaints increased by 300-400 percent.

Consequently, business leaders grew more aware and threatened by security risks, knowing it’s a matter of ‘when’ and not ‘if’ their company will be targeted.

Today’s enterprise needs AI/ML for security now more than ever. Sophisticated attacks, a widened attack surface, rapid innovation and the urgency to stay on top of vulnerabilities require more than human intelligence.

Related: Internet of Things and Cybersecurity- Challenges and Best Practices

Why do CISOs Prefer AI/ML over People in Cybersecurity?

Artificial intelligence and machine learning help scale data analysis, improve response speed, secure innovative and transformative technologies and stay proactively prepared for incidents. 93% of IT executives are already using or considering AI and ML to make their tech stack more resilient.

Here are a few specific reasons why CISOs prefer AI/ML over people in today’s threatscape-

  • Plug in talent gaps – According to the (ISC)² Cybersecurity Workforce Study 2022, there’s a global cybersecurity workforce gap of 3.4 million people. Even when this gap gets bridged, CISOs need real-time insights into their IT infrastructure to fine-tune predictive models and gain a holistic view of their cybersecurity posture, which is feasible only with AI/ML.
  • Improve visibility – Early AI adopters are augmenting human intelligence with AI/ML to enhance their visibility into a rapidly proliferating digital ecosystem of endpoints and applications.
  • Boost productivity – AI/ML provide some much-needed respite to security and IT teams on the brink of burnout from constantly putting out fires. Overstretched human resources can gain time back for value-add tasks by replacing manual effort with security automation with AI/ML.

Related: Personalization vs. Privacy- Where’s the Fine Line

AI and ML Use Cases in Modern Cybersecurity

Endpoint discovery and asset management

Enterprises spent $13.3 billion on Endpoint Protection Platforms in 2021, predicted to reach $26.4 billion by 2025, as per Gartner. They need to achieve more visibility and control over endpoints for zero-trust security. 

The security perimeter in any organization has expanded to include human and machine identities, which can be secured only using data-driven insights and intelligence. AI/ML in cybersecurity identify malware attack patterns and fine-tune risk scores based on behavioral patterns, location and other parameters of privileged user accounts, preventing breach attempts.

Vulnerability and patch management

According to a recent survey, 71% of IT professionals find patching complex and time-consuming, while 53% said organizing and prioritizing critical vulnerabilities leaves no time for patch management.

Organizations today can employ AI and ML technologies to locate, track and patch endpoints that need updating without spending useful hours on this monotonous activity. As cybersecurity platforms improve bots’ accuracy in predicting which endpoints need patching, vulnerability and patch management will get efficient and automated.

Access management

In an experience economy where businesses define themselves by the ease of working with them, identity and access management can become table stakes in minimizing friction. Modern IAM platforms with AI/ML can detect anomalous behavior even after authentication and trigger an appropriate response.

AI can enable zero-trust by dynamically protecting resources, implementing fine-grained access policies that factor in complexities in users, data and assets, eliminating personal data from access tokens and ensuring continuous verification.

Threat simulation

AI and ML can help build threat simulators connecting with endpoints in an organizational network to emulate a threat lifecycle and test security defenses without interacting with production endpoints and servers. This way, organizations can identify gaps in their cybersecurity posture without compromising assets or impacting operations.

Cybersecurity simulations can also help identify talent gaps in an organization and point toward skills that need to be onboarded, whether in-house or outsourced.

Identity management

A hybrid work culture requires support for remote workers accessing multiple devices from different locations. While zero trust enhances operations, it presents issues in coordination. AI can help manage digital identity by creating unique user profiles based on historical behaviors, role-based policies and contextual user data.

Automated identity management can strengthen an organization’s security posture without creating impossible work for their teams.

Related: Data Security in Healthcare

Zero Trust Security with AI/ML

Every organization will have a unique zero-trust security roadmap. AI and ML will prove central to zero trust as they help analyze, interpret and act on network telemetry data in real-time.

Technology continues to be a double-edged sword as new digital applications and services open new avenues for value creation while expanding the risk surface. With cloud technologies and IoT in place, organizations need more than talented cybersecurity professionals to execute protection, prevention and readiness strategies. They need AI and ML.

It’s no longer just here for the buzz, instead, it is here to create value. Our relationship with this technology goes way beyond the era of buzz and so we know and understand its importance with businesses. If you are looking to secure your business now or future-proof it from any further security threats, our AI/ML experts can be of your help!

What is Web3 Beyond the Metaverse?

The internet shrank the distance between people globally, connected people and things, and unleashed a massive stream of information and communication, disrupting the world. It has reimagined and reshaped how humans interact, grow, affect change, and relate to each other and the world around them.

Web3 is the latest evolution of the internet. Even though few of us fully understand it, the metaverse is only a subset of Web3. Let’s learn about the evolution of the internet before diving further into its latest version.

Related: How the Metaverse Will Transform the Way We Work

How the Internet Evolved into Web3

Web1 came about in 1989. It was based on centralized technology that housed static content. Revolutionary as it was, Web1 facilitated companies such as Yahoo, Google, and Amazon to rise to success by helping people sift through online content.

Web2, termed in 2004, is based on dynamic content and user input. The most substantial gift of the second iteration of the internet was interactive and dynamic websites such as Facebook, YouTube, Twitter, and Instagram.

Web3 is the iteration just now coming about. It stands closest to the initial vision Tim Berners-Lee held for the internet as a decentralized peer-to-peer network where information and power aren’t held by a central authority. Web3 is bringing a substantial shift by putting content creation back into the hands of creators and not platform owners, which has been the case for the last two internet versions. Web3 aims to democratize the internet.

Web3 aims for a shift in business models by introducing disintermediation concerning data, value, and functionality. Users and creators get power back and leverage open-source applications to innovate, build, test, and scale.

Related: Are Metaverses happening? The Potential for Startups

Key Terms About Web3 and What They Mean

Blockchain

Blockchain is a technological system where transactions are recorded in a ledger shared by a peer-to-peer network. Cryptocurrency is one of the use cases of a blockchain, among many others. In web3, data is no longer stored in opaque and private databases but in open-data structures where anyone can read and write. These distributed digital ledgers are transparent and immutable. User data is secure, unfragmented, and not for sale.

Semantic technology

Semantic technologies serve as building blocks of Web3 by making the meaning of the data as important as its structure so that artificial intelligence programs can learn, think and work on the data as humans do. What a user means or intends to do on the internet is machine-learnable with semantics.

Artificial intelligence

AI takes us closer to realizing human-like intelligence in machine processing so that we can automate repetitive and complex tasks.

3D graphics and spatial web

Web3 uses virtual reality headsets and realistic graphics to create a metaverse where websites provide an immersive 3D experience rather than two-dimensional interactiveness.

Ubiquitous connectivity

Web3 applications need constant connection facilitated by broadband, 5G technology, WiFi, and the Internet of Things to be immersive and life-like.

Smart contracts

Smart contracts are programs stored on a blockchain that automatically execute transactions based on pre-determined and agreed parameters. These immutable programs can be executed quickly and cost-efficiently without intermediaries. Applications are governed by a decentralized autonomous organization, or DAO, a form of collective governance, instead of a centralized company with sole discretion over parameters such as pricing.

Decentralized assets and tokens

Digital assets are intangible products with ownership rights that exist on the blockchain across applications and are connected with smart contracts. Asset ownership in Web3 is no longer privatized and regulated. Instead, Web3 creates user-owned value that can be stored, verified, and transacted without third parties.

Related: Why Build in Web3

Why the fuss about Web3?

  • Blockchain can streamline business processes by securely exchanging information between different parties. Financial applications of the blockchain are springing up, but its use cases can expand into any area that requires tracking and validation.
  • Semantic technologies can contextualize data search and transform any activity that requires sifting through huge volumes of data. Semantic technologies also enable AI use cases for information discovery.
  • AI can automate repetitive tasks and help solve complex problems efficiently, saving time, and costs for humans.
  • Businesses are shifting to Web3 technologies and looking for the necessary talent to evolve their workforce as per the future of the internet.
  • Web 3.0 enables a vision of portability and interoperability of data, identity and digital assets, which can fundamentally change identity organization, ownership, and storage.

Related: Web3 and Metaverse: Key Challenges

The Difference Between Web3 and the Metaverse

Metaverse can be seen as an application of Web3 technologies, just as Facebook is an application of Web2 technologies. Web3 revolves around decentralized ownership and control and putting power back in the hands of users and communities.

The metaverse is an immersive, embodied, and virtual experience that enables users to connect, undertake commercial activities, and interact in real-time.

Web3 sets standards for what this next iteration of the internet should look like.The metaverse attempts to follow those standards for experiences such as gaming, social interaction, shopping, community building, and commerce.

Related: What You Should Know About Regulations in a Web 3.0 World

Actions Steps to Stay Ahead of the Web3 Curve

Businesses will benefit from understanding that the next iteration of the internet is much more than the metaverse. Here’s how you can start exploring the potential and possibilities of Web3 technologies.

  • Invest in cloud technologies. Businesses must stay ready with the infrastructure to share applications widely and securely using cloud computing, microservices architecture, and APIs to contribute to the metaverse.
  • Focus on future-proof skills. Building for Web3 requires proficiency in 3D designing, immersive designing, spatial visualization, blockchain development, AI development and more. Immersive design tools are getting increasingly democratic and sophisticated to allow for easy experimentation.
  • Form new partnerships. Ensuring your organization is poised to deliver a technology when it moves from infancy involves setting up collaborations and common frameworks now.

Web3 will eliminate the friction between digital platforms today and change how data is used to create experiences. Start strategizing now with KiwiTech’s Web3 consultants and blockchain developers to stay ahead of the curve.

Startup Growth Tactics- Get Users and Grow Your Startup

Growth marketing and growth tactics are critical for a startup beyond its MVP stage. Once you have tested your product with early customers and iterated it to arrive at a product/service that provides value to your market, it’s time to grow.

Startup growth tactics are vital. It’s innocent to believe that if you launch a product, people will automatically find and use it. Growth marketers would disagree. It takes special care to continuously bring new users to a product to facilitate growth.

Who should be using growth tactics to grow their business? Any company selling online and relying on a set customer journey to convert audience to paying users would benefit from growth marketing. Both B2B and B2C companies focusing on growth have an advantage over competitors.

Gustaf Alstromer, a growth expert at Airbnb, shares growth tactics and gems in this video, referenced to research for this piece.

What Exactly is a Growth Strategy for Startups?

A growth strategy underscores a strategic plan for a company to boost sales, revenue and market visibility. Growth strategies include both organic and paid ways of attracting customers.

The Ansoff matrix includes the growth strategies companies use to expand into existing and new markets- market penetration, market development, product development and diversification.

Related: What a Startup’s Go-to-Market Strategy Looks Like

Is Growth Too Early for Some Startups?

Focusing on growth at the wrong time can be detrimental to startups. The primary focus must be building a product your market wants and finding a solid product-market fit. Applying growth tactics as a company without a product-market fit can yield growth early on, but it dies out in the long run.

First, Product Market Fit

To find product-market fit:

  1. Identify the one critical metric that represents the value customers get from your product
  2. Measure the repeat usage of that metric by active users

For instance, at Airbnb, the value to customers is to book a stay. The frequency of booking can be annual on average. For Facebook, active user count represents a value metric, and the ideal frequency can be daily logins. For a company like Lyft, booking a ride is the value for the customer at an ideal repeat frequency of daily/hourly. 

So, it’s critical to determine the one metric you can measure as the core value of your product and the ideal frequency at which that should happen.

Then, it’s advisable to measure retention to test if a product-market fit already exists.

On the X-axis plot the time, and on the Y-axis, the key metric as the percentage of users. If the graph slides down, there is a poor product-market fit as the percentage of users engaging in the key behavior is dwindling with time. It’s key to note that most good products flatten out over time, meaning they retain customers consistently.

For small startups, this method could be replaced by asking customers questions to find product-market fit. For instance, “how would you feel if you could no longer use the product?”

Small startups can run a simple survey with existing users and gather feedback to analyze product-market fit.

Related: Step-by-Step Roadmap to Developing an MVP

An Example of Successful and Massive Growth – Facebook

Facebook’s growth encapsulates the essence of growth marketing. A growth tactic called internationalization (using translations) helped Facebook grow to 500 million users.

As Facebook launched in multiple languages, it entered new markets worldwide. Therefore, as Facebook was hitting the peak of reaching people who spoke English, it was made accessible in other languages to expand.

Another phase of massive growth at Facebook occurred around 2010 when smartphones were on the rise, and the Facebook team built a mobile app.

Next, around 2013, Facebook was bumping against the ceiling of the Internet, meaning almost everyone who used the web was a Facebook user. Then, Facebook started getting more people online with internet.org. They worked with carriers to bring more people online and eventually get them on Facebook.

The lesson from Facebook’s growth story is that intentional growth can help a company grow beyond its wildest imagination years after the natural adoption of a product slows down.

Growth Teams in Startups Today

Three types of professionals drive growth in companies today-

  1. Product growth marketers/growth engineers– Product managers, engineers, data scientists and marketers comprise this team and work on growth using technology. These professionals actively change the product to drive growth and work with users who’ve already arrived at the product but haven’t found value in it yet. For instance, conversion rate optimization falls here.
  1. Performance marketers– Google and Facebook marketing, search engine marketing and content marketing are some focus areas for performance marketers. More forward startups now combine product engineering and performance marketing teams or at least have them work side-by-side.
  1. Brand marketers– Brand marketing is all about building awareness around the product and creating an emotional connection with the audience with the look and feel of the brand across touchpoints. Startups should refrain from investing in brand marketing in the early days or before they hit the limit on product growth and performance marketing. 

Related: Creating a Marketing Funnel That Converts

Which Growth Channels Should Startups Utilize?

Startups ready for growth can find out which growth channels would work best for them using the framework below. The idea is to highlight the key user behavior around your product and determine how frequently users engage in it.

  1. How often do users use Google to find a solution to the problem you’re solving? How likely are potential users to find your product through a Google search, and how frequently do they perform a Google search for the same? A lot of products get discovered through Google. If your product is one of those, you can target SEO/SMM optimization for growth. For instance, real estate properties aren’t bought frequently. 

However, users perform Google searches when considering buying a property. So, it makes sense for a real estate company to optimize its website using SEO and SMM best practices. 

  1. Do existing users of your product already share the product using word-of-mouth? If so, a startup can use virality and referral marketing to grow by accelerating an existing behavior (talking about the product) and incentivizing users to do it more often.
  1. Do more users improve the product’s experience? For instance, a social media platform’s value is not in having a select group of users accessing it but in a growing community. The growth tactic to use here could be virality, as more users signing up leads to new users and so on. 
  1. Can you enlist all the people who would benefit from your product? For instance, if a product is for lawyers, a startup can make a list of all lawyers in a chosen geographic area and undertake direct sales activities to onboard new users. 
  1. Do your users have a high LTV (Lifetime Value), meaning they spend a lot throughout their association with your product? If so, a startup can grow using paid acquisition on Facebook, YouTube, Instagram and Google, for example. 

Related: A Comprehensive List of UX Design Principles for Startup Website and Blog

Growth Tactics for Startups

It’s worth noting that each of these growth tactics has books written about them. So, consider this as an overview of growth tactics available to startups and then dive in with specific resources.

Conversion Rate Optimization

Any product is a funnel with steps between someone discovering it and completing one circle of usage. For an e-commerce site, the funnel could begin at a social media advertisement and end with signing up on the site or start with signing up on the site and end with a successful purchase. Conversion Rate Optimization considers the entire or a part of the product funnel.

There are many ways to work on conversion rate optimization. Here are a few notable CRO tactics-

  1. Internationalization – Internationalization is essentially adding translation services to make the product more accessible to a diverse non-English speaking audience.
  1. Authentication – Almost all products have a way of identifying and authenticating users into them. The ease with which users can authenticate themselves impacts the conversion rate. Signing up for a new product, even if at no cost, is a fragile moment in the users’ journey when they’re highly likely to drop off. Companies, therefore, spend enormously on optimizing their authentication and login processes.
  1. Onboarding – Bringing a user on your platform to quickly realize the value of the product is the aim of an onboarding process. Optimizing this process improves conversion rates.
  1. Purchase conversion – This is the stage when the user decides whether to make a transaction on your website or product, not necessarily with their money.

When we drill down, CRO tactics include the correct language and placement of calls-to-action, including keywords into title tags and meta-descriptions for searchability, optimizing page speed, optimizing content above the fold and more.

Referrals and Virality

Referrals are a systematic form of word-of-mouth marketing. Startups can use financial incentives to accelerate user behavior of talking about their product. Every referral program is a funnel. First, a user becomes aware of a referral program, then opts for it, then sends invites to their friends, who then convert into new users and spend money or transact on the app, leading to an incentive for the existing user.

Paid Growth

Only revenue-generating startups should focus on paid growth. If you have incoming revenue, it’s essential to analyze the average CAC (customer acquisition cost) and juxtapose it with the LTV and payback time of users acquired through paid growth. CAC should be significantly lower than LTV, which means it’s worth investing in paid growth. Only four channels are big enough to support startups in paid growth- Facebook, Instagram, Google and YouTube.

Related: 5 Ways In Which SEO Can Boost Your Startup’s Sales

Search Engine Optimization

SEO will be relevant as long as we Google stuff and make decisions based on the information we find there. There’s a difference between what you see and what Google sees on the same website. Google can’t view images and read Javascript easily, so part of SEO is marking up code for search engines to see it in clear language to improve search visibility.

On-page and off-page optimization are the two high-level characterizations of SEO.

1. On-page optimization- 

  1. Every SEO optimization starts with keyword research. Keyword analysis includes finding out the phrases and words people use to search for anything related to your product. The next step is tracking the volume of searches for each phrase and how hard it is to rank for them. Then, SEO professionals can create a strategy to rank for selected keywords.
  1. The next step in on-page optimization is determining which page you want to rank for specific keywords. This brings intentionality and strategy to SEO instead of throwing things at the wall and seeing what sticks.
  1. After a stage of growth, if a startup wants to achieve more growth, it inevitably includes experimenting with SEO, as the best practices only take you so far.

2. Off-page optimization-

Off-page optimization relates to the websites linking to you. Are the websites linking to you authoritative on the web? This defines Google’s perception of your site. Off-page optimization is the science of ensuring that you get backlinks from reputed websites.

Growth marketing is the art and science of making good decisions about every little aspect of a product and business. A/B testing and experimentation lie at the core of growth marketing. Decision-making about the various parts of a startup is relatively simple when it’s in a nascent stage. However, decision-making can get complicated as a startup grows.

So, instilling a culture of experimentation can go a long way in helping a startup grow and thrive.
If you’re looking for in-depth mentoring around scaling and growing your startup, learn more about KiwiTech’s startup ecosystem.

Startup Guide to Find Product-Market Fit

A product-market fit happens when you have a definition of your target market and a product that serves them. The pre-requisite to reaching a product-market fit is understanding your target customer, their pain points, how they feel grappling with the problem, and your approach to solving the problem.

It isn’t uncommon for startups to stay on the lookout for a product-market fit two years into their startup journey, as this is the most challenging phase in a startup’s lifecycle.

David Rusenko, Co-founder of Weebly, discusses finding product-market fit in this video, referenced for this piece.

Not having product-market fit isn’t a roadblock but an opportunity to assess your startup and find the sweet spot where users sign up consistently and stay with you. Product-market fit is a key milestone in any startup’s journey and a place where many startups dwindle.

Let’s explore the process of finding product/market.

Product-Market Fit in the Stages of a Startup

Here are the stages a startup goes through-

  1. Idea
  2. Prototype
  3. Launch
  4. Traction
  5. Monetization
  6. Growth 

The first four stages of getting from idea to traction is the search for product-market fit, while the final two stages are the refinement of the product-market fit. 

Related: 5 Ways to Develop Rapid Digital Prototypes for Your Startup

Product-Market Fit: Where is the Need?

All the hard work in finding product-market fit is around learning a primary customer pain and then coming up with the right solution to approach and solve the problem.

Often, the need isn’t apparent but hidden. Users don’t know what they don’t know. Henry Ford said it best- “If I had asked people what they wanted, they would have said faster horses!” The need for cars was hidden. The pain was in being unable to travel faster. But the solution wasn’t faster horses.

All too often, a need exists in the market without the awareness of people around it. For Weebly, it looked like people wanted to design their own websites at a time when you had to know how to code to build a website. 

The need was for the ability to build a website easily. However, the solution didn’t exist yet, and the need was hidden. Weebly unearthed that need and built a service to enable people to build websites without writing code.

It’s also critical to note that the best companies create a market, such as Airbnb and Dropbox. By definition, market research doesn’t help as people don’t know what they don’t know. So, the key is to find the need first, separate from the solution to approach to solve it.

Another frequent phenomenon is startup founders offer something to a select group of customers but get pulled in a different direction by them. When this happens, it begs attention. The idea isn’t to push people to use your product but to find that pull factor so that they automatically come to it.

Once you unearth the deep need that exists within a market, you can iterate inexpensively to reach the product-market fit stage.

Related: Step-by-Step Roadmap to Developing an MVP

Steps to Achieving Product-Market Fit

  1. Talk to customers. Develop a market thesis. In this step, you don’t try to find a hole in the market. In today’s competitive market, the hole is also overcrowded if it exists at all. Instead, you find out what the minute lack is. Of course, in the case of Weebly, a solution was available for people wanting to set up their websites- to hire a web developer. However, that solution lacked accessibility and ease. Another perspective is when you study the market enough, you can predict where it’s headed. Something with little utility today might become highly valuable tomorrow. For instance, when Trustpilot was born, not a lot of commerce happened online. However, the market was already headed in that direction. So, when e-commerce boomed, Trustpilot was needed to help buyers sort fraudulent online shops from genuine ones.
  2. Listen to customer problems and not solutions. Once you have a market thesis outlining the customer, the approach and the gap, interview customers. However, completely ignore the solutions they propose because they will want a faster horse. What is the underlying job people want to get done?
  3. Rapid prototyping and user testing. Building a fully functional product over and over again is the most expensive way to test your hypothesis. Aim to build a functional prototype that you can quickly get to the users. Don’t worry about scaling the code yet. Initially, the product and the experience must work for users. Build a team that can iterate quickly and repeatedly, meaning don’t outsource prototype development, as it can thwart progress.
  4. Build the solution to their problems. At this stage, you have had several iterations and landed on one most accepted by customers.
  5. Test the solution with customers. Make sure you’re talking to target customers. The most helpful tools to test the solution are customer interviews, UX testing sessions and metrics tracking.
    1. UX testing sessions- Here’s what you need to know about conducting UX tests with users-
      1. Get users to use your product/service in front of you. This way, you can track their body language.
      2. Encourage them to give open and honest feedback.
      3. Ask them to perform a task on your product and refrain from doing or saying anything as they figure it out.
      4. Watch in extreme agony as they struggle to use your product because this tells you how smooth the user experience actually is.
  1. Next, you repeat the entire process until you find product-market fit.

Related: 10 Tips to Improve Your e-Commerce Website Accessibility 

Metrics that Prove Product-Market Fit

Three key metrics that point toward product-market fit are-

  1. Returning usage (1, 3, 7, 30 days retention)- Out of all the people who sign up, how many come back within a day, three days, a week and a month? When users start returning to your product is when they deem it highly useful.
  2. Net Promoter Score (should be > 50)- One question helps determine the NPS primarily- “How likely are you to recommend this product/service to friends and family?” The percentage of users who say they are 9/10 or 10/10 likely are promoters.
  3. Paying customer renewal rates– If you’ve already monetized your product, measure how many customers renew their payments month after month to find out if you’ve achieved product-market fit.

Striking product-market fit is one of the most challenging parts of establishing a successful startup. So, make sure you have the right team and mentors by your side. Learn more about KiwiTech’s startup ecosystem and mentorship program here.

Why Startups and Corporates Collaborate

What Brings Startups and Corporates Together?

When corporates and startups collaborate, they ideally create a win-win. Corporates create and enter new markets and startups achieve product development and scalability in the partnership. The shared strategic aim of such collaboration remains to secure growth, improve competitive standing and generate revenue.

Corporations even benefit from partnering with potential market disruptors, as disruption in large organizations is hard to come from within. No matter how fruitful it is for startups and corporates to join forces, it’s also extremely challenging given differences in culture, work ethic and appetite for risk.

Successful collaboration requires expectation setting besides being open to understanding each other’s interests, incentives, culture and work ethic.

This detailed guide can serve as a roadmap and informational tool for startups and corporations to plan collaborations so that the sailing is smooth and the outcome a true win-win.

This report by the World Economic Forum and this interview by McKinsey were researched for this piece.

Why Corporate Partnerships Make Sense for Startups

Collaborating with corporates brings a host of benefits to startups-

  • Access to investment and resources – Big corporates have the potential to make huge investments in startups and provide them with the right connections, eliminating the need for other investors. Corporates often have long-term interests in helping a startup grow, enabling the latter to achieve success sooner and more sustainably.
  • Scalability – Large organizations can put startups in touch with their first customers and support scalability with their abundance of people, budget, resources and opportunities. Access to a diverse and large customer base can open up new markets for a startup and help them refine their product with customer feedback.
  • Access to data assets – Partnering with a corporate can help a startup access proprietary data that’s otherwise out of their reach and thus help create new business potential.
  • Market knowledge and mentorship – An established corporate player can ease the entry of a startup into new markets and enrich their journey with succinct mentorship from those who have been there and done it.
  • Reputation and credibility – Associating a startup with a known market leader can put the former on the map and trigger a networking effect for the future. Startups can use their corporate collaboration as a reference to earn credibility with decision makers down the line.

Related: What to do if Your Startup Launch Didn’t Go as Planned

Why Startup Partnerships Make Sense for Corporates

Here’s what corporates stand to earn from collaborating with startups-

  • External disruption – Every industry warrants digital disruption in this stiff competitive environment for a business’ sustenance. Corporates can rarely ignite disruption from the inside. Collaborating with startups enables large organizations to bring disruptive innovations to increase revenues, sharpen their competitive edge and expand into emerging technologies.
  • Renewed customer-centricity – Startups often fine-tune their products for the customer, as they aren’t restricted by standard processes, unlike large companies. Startups can even personalize and adapt their products for a specific customer segment, allowing a large organization to leverage it for better customer-centricity.
  • Revived entrepreneurial spirit – No business can afford to do what it’s always done and still stay ahead of the curve today. Large organizations benefit from a startup’s entrepreneurial spirit as it creates a culture of openness and agility.
  • Fresh revenue and business – Collaborating with startups allows established organizations to offer new and innovative services to their clients, build new revenue streams and leverage new business opportunities.

What are the Risks for Startups in Collaborating with Corporates?

An arrangement between a corporate body and a startup can lead to different risks for startups, including-

  • One customer-specific product – Focusing on building a custom solution for one large client can remove a startup from creating a product that’s scalable, accessible and potentially sellable beyond the scope of the corporate.
  • Time delays – There often is a tug of war between different departments in a corporate which get challenging and expensive for startups to navigate.
  • Resource drain – Startups may receive the short end of the bargain if the corporate doesn’t commit fully to a collaboration and only uses the startup for free consultancy.
  • Loss of the entrepreneurial spirit – If a startup depends too much on corporate decision-making and the collaboration is tight-knit, a startup may get entangled in the corporate processes and lose its innovative and disruptive edge.

Related: What a Startup’s Go-to-Market Strategy Looks Like

What are the Risks for Corporates in Collaborating with Startups?

Corporates also put a lot on the line in collaborating with startups, such as-

  • Reputation – If a customer or corporate data is involved in the startup’s development process, a failure can hamper the organization’s brand and reputation.
  • Investment – The investment risk is high in partnering with startups as failure probability is high when compared to other investment avenues for large organizations.
  • Employee sentiment – Corporate employees are habitual of processes and systems. An unfamiliar and often open culture of a startup might threaten them and create resistance to change.
  • Outcome – The outcome of a collaboration with a startup can’t be predicted as startup teams often lack experience. Sometimes, startups propose a business model or technology that an organization isn’t ready to experiment with, which blurs the outcome of the collaboration.

The Challenges Startups Face in Corporate Collaborations

Here are some organizational challenges startups must deal with as part of a corporate collaboration-

  • Navigating the org maze – Startups often feel out of the loop as business units are shielded by managers who refuse to include them. Startups must learn to navigate the organizational maze and find the right people to execute a collaborative effort. There is also the challenging middle management that feels threatened by a startup’s disruption.
  • Insufficient resources – A startup might hit its limits in several ways when trying to collaborate with a corporate. For instance, a corporation has access to a legal department, while a startup relies on a relatively costly lawyer or handles the legalities internally.
  • Balancing specificity and standardization – Startups find it challenging to balance creating a custom product for a corporate client and building a standard product they can sell multiple times.
  • Gaining trust – Key corporate departments often resist working with startups with no previous corporate collaborations, which leads to a classic chicken-and-egg issue.
  • Equality in reputation – Startups often feel like a subsidiary of a large corporation instead of standing at eye level. They struggle to be perceived as an equally serious business by corporates.

Related: How to Know if it’s Funding O’Clock When Investors Approach

The Challenges Corporates Face in Startup Collaborations

Here are a few challenges corporations brush up against continually in collaborating with startups-

  • Competition with internal innovation departments – Large organizations can often spark internal competition between their own innovation department and a startup partner. Corporates may also face internal resistance to adopting products the startup developed.
  • Shareholder & managerial support – Corporates must manage shareholder expectations and juxtapose the short-term interests with the long-term investment strategy of collaborating with a startup. Gaining support from senior management can be challenging.
  • Conflicting requirements – Corporates may face conflicting requirements for a product from different business units, which can create delays and confusion regarding the outcome of the collaboration.
  • Cultural change – Partnering with a startup not only means innovation, but also change. Senior managers in a corporate must ready their teams to change the status quo and part with the tested ways of thinking to make way for innovation.
  • Fear of failure – The fear of failure is real in corporate culture, which needs to be massaged away by C-suite executives by encouraging teams to support projects and collaborative efforts.

Top Issues that Derail Corporate-Startup Partnerships

The results of corporate-startup collaborations are mixed at best. Here are the top reasons why these partnerships get derailed-

  • Lack of internal buy-in – The success of startup-corporate partnerships depends on internal sponsorship and strategic buy-in from the organization. Often, a part of the C-suite kickstarts the collaboration, which fails to get support across the board and is treated as a pet project. Lack of support and resourcing is challenging for startups and sets up the arrangement for failure.
  • Lack of strategic clarity – Often, large organizations recognize the importance of innovation and emerging technologies. However, they lack clarity on what steps they want to take and how they want to utilize the external ecosystem. This confusion hampers unified progress toward a mutual goal.
  • Slow corporate processes – Corporations have slow processes and require startups to think ahead of time, for instance, about resources they might need so that they can be signed off in time. Startups don’t think and work that way, which creates a rift between the two sides.
  • Lack of impact tracking – Corporations are often unclear on the outcome they want from the collaboration or haven’t translated it into trackable metrics. Startups want to achieve quick growth with the availability of resources from the corporate. This creates a lack of impact tracking, which could help bring a strayed collaboration back on track.
  • Getting stuck in pilots – As a result of the first four hindrances, companies get stuck in the pilot phase with no plans to scale. Corporates stick to their patterns, and startups get frustrated.

To achieve success from a collaborative effort, both corporates and startups must be mindful of the challenges and take proactive steps toward eliminating friction.

Related: Early Startup? Don’t Make These Mistakes Navigating Your First Recession

When are Startups Ready to Collaborate with Corporates?

To identify if your startup is ready to enter a corporate partnership, identify your strategic objectives for doing so. Here are a few factors to consider-

  • Budget – Does the startup have enough resources to successfully and professionally deliver the expected product to the corporate?
  • Buyer – Who signs the deal and protects the collaboration against pitfalls of the corporate environment? Is the pain of the corporate intense enough to get their holistic buy-in?
  • Success metrics – What would signal a successful collaboration? Can you, as the startup, promise and commit to those KPIs?
  • Corporate intention – What is the intention of the corporate in working with you? What are they looking for?

If startups can answer all of the above questions and have a clear strategic goal backed by KPIs, they might be ready to enter a corporate relationship.

Best Practices to Approach Startup-Corporate Collaboration

Several moving pieces need to fit to create a successful partnership between a startup and a corporation. One of those is fully committing to the deal. Satisfaction and the potential for success can rise drastically once both parties are fully committed and invested in the collaboration.

Second, addressing and acknowledging cultural gaps can go a long way in making everyone feel included and understood. Even if culture gaps can’t be resolved, aiming to work through differences in methodologies, philosophies and working styles can improve satisfaction.

Finally, knowing where you want to reach can prevent gaps in expectations. Setting metrics of success can help bring both parties to the same page and work toward a shared goal.

Related: How Startups Can Manoeuvre The Current Funding Slowdown

What Should Startups Track to Measure Partnership Success?

The success of collaborating with a corporate partner means different things to different startups. Broadly, it provides a positive impact on both sides. The measurement of success can vary depending on the scope of a partnership. However, milestones and expectations ensure a streamlined process to evaluate effort on both ends.

A startup-corporate collaboration can be measured against-

  • How technically feasible the project is.
  • Whether its successful completion creates a profitable business model for the corporate and the startup.
  • Whether it creates a competitive advantage on both sides.
  • Does the collaboration have partnership potential for the long term? This also requires mutual commitment and trust on both sides to be true.
  • How does the collaboration benefit both parties financially?
  • Corporations often look at revenue and EBITDA and strategic metrics tied to value creation.
  • For R&D collaboration, parties can look at the number of projects in the pipeline and the addressable market.
  • For a pilot project, the customer base and success rate can signal success.

Tracking and measuring these quantitative and qualitative measures can help define the success of a collaborative effort.

Every startup-corporate collaboration is unique and cannot be seen from a generic lens. However, this piece lays down the foundational components required to create a successful partnership.

To consult an expert about a specific collaboration opportunity for your startup, write to us at info@kiwitech.com.

How to Build a Tech-Based Startup Without Technical Background

A startup is an idea that aims to solve a problem for a specific section of people. Sighting a problem and thriving to look for its solution is not bound by the fact of whether you can provide the technical infrastructure to that idea or not. So whether you are someone from the technical side or not, you can still contribute to your startup as much as anyone else. 

It can help to have technical background for tech-based startups any day, but this is no hard and fast rule to beginning a startup.

In this blog, KiwiTech highlights how a non-tech person can add value to its business without investing years in learning to code.

Deep Dive into the Industry and Users

It is worth noting that technology is developed according to humans instead of the other way around. So before dwelling on any other issue, it is imperative to have a strong sense of user understanding and knowledge about the market. It is something that your team will rely on you for, so you have to understand the industry and its users deeply. 

User experience will determine how to develop the technology to its best use. It will ultimately minimize and ease the task of the developer.

Learning Non-Tech Tools

It always helps to master whatever you can. You can not learn coding in days or weeks, so you can always take up the non-tech side under your wing. Additionally, the knowledge and understanding of various tools for project management, scheduling tasks, communication etc., can come to the rescue.

Learning the Very Basics

It is essential to understand that coding is one of many tasks in a startup. In addition to that, multiple other areas need a startup owner’s attention.

While finding your expertise is essential, a Jack of all trades does not only work fine but is a necessity for a successful startup. Therefore, knowledge about every work in your startup is exceptionally crucial. 

It is imperative to learn about the Software Development Lifecycle, which can guide the team and keeping track of the working basics of the tech side is essential. 

Know Enough to Question

Ultimately you are not the task do-er; it is the developer for the technical side. So you should at least have a good grip on the jargon of the technical side and be comfortable with their respective meanings. 

Google and books should be your best friend; asking questions can be the way out too, but knowledge is essential. It would be best if you were well versed to be in a position to solve an engineer’s problem and brainstorm later on. 

Creating the Basic Infrastructure (MVP)

Even in the early stage, it is good to have a basic landing page so everyone from investors to team members can have some visual representation of your vision. 

Of course, one can also outsource the tech services if there is no other option, but it can be self-created in other cases.

Seek Advice and Inspiration

It is always good to listen to someone who has already been through your stage; you can learn from their mistakes and implement their positive points in the workings of your startups. Reading books and choosing a mentor can help tremendously, even by alleviating the mental pressure once in a while.

From Alibaba to Pinterest, all are tech-based startups that non-tech people own. Learn from them and seek inspiration from them.

Hiring a Tech Consultant or CTO

A tech consultant or CTO can simplify the life of a non-tech startup person like no other. At one time, you would seek the help of such a professional. 

They become the bridge between you and the developers. In addition to this, they are the mastermind behind the application’s architecture and undertake crucial technical decisions which require experience.  

However, this does not suggest that it would take away some of your duties. Before anything else, a startup is a vision-driven organization; it is vital to ensure that every operation should work towards a single goal with a shared vision and that vision should come from a founder. 

If you’re a startup looking for a solution not just to build a technical infrastructure but other services to accelerate your business, you can trust us with it. If you have any queries or want to seek professional guidance, don’t hesitate to contact us. We would be glad to help you grow!

Does Email Marketing Still Have a Place in the Age of Social Media?

If there’s one thing that all successful startups have in common, they all understand the power of email marketing.

If so, email marketing could be just what you need! From personalized messages to automated campaigns, it’s an incredibly versatile way to bring more attention to your business and connect with potential partners. The entire email marketing business was estimated to be worth 7.5 billion US dollars in 2020, and according to the Statista Research Department, that amount would rise to 17.9 billion by 2027. It is anticipated that the compound annual growth rate (CAGR) will be 13.3% throughout that time. Nowadays, more startups are recognizing the importance of leveraging email as part of their overall strategy – and there are plenty of valid reasons why.

Let’s take a closer look at how email marketing can benefit startups

In this blog, we will be exploring how email marketing is the go-to strategy for today’s startups to offshoot their success. 

First things first, let’s understand the basics.

Why Email Marketing Is Important for Startups

Email marketing is an essential tool for startups, as it provides a powerful and cost-effective way to reach new customers and drive sales growth. It also helps startups build credibility and brand recognition with their target audience. Email marketing allows startups to create tailored messages that speak to their potential customer’s interests, needs, and values.

3 Steps to Create an Effective Email Campaign

Choose the Right Platform

The first step in creating an effective email campaign is choosing the right platform. There are many different platforms out there, so it’s important to select one that allows you to customize your message and track your results. You should also make sure that the platform is easy to use and integrates with other services, such as social media and analytics tools.

Craft Your Message

Once you have selected the right platform, it’s time to start crafting your message. Keep it concise and personalize it whenever possible. Make sure that the content is relevant and engaging, as this will help ensure that readers stay interested in what you have to say. Additionally, consider adding visuals or videos to make your message stand out from others.

Test Before You Press the Send Button

Finally, don’t forget about testing! 

Test various versions of your emails using A/B testing before sending them out in order to ensure that they are optimized for maximum impact. This will help you understand which elements of your emails resonate with readers and which ones should be improved upon or discarded altogether. 

3 Tips to Improve Email Marketing for Startups

Personalize Your Emails

Check for yourself; how many emails do you have right now in your inbox, somewhere in the 1000s, right? What makes you open an email in the plethora of emails? 

It’s always nice to add your audience’s name; it guarantees intent, shows effort, and makes them feel special.

Doing this will ensure that customers feel like you’re sending them a message tailored just for them rather than automated messages, which can help build customer loyalty.

Test Different Subject Lines 

Subject lines are just like doors. Would you like to open a door that looks shabby and bland. No, right? 

So make sure to test different subject lines and determine which ones are performing the best for your target customer.

PRO TIP- Regularly track the performance of your email campaigns and adjust your subject line strategy accordingly.

Track Your Results

Metrics are your best friend in determining key results!

Monitor the metrics of your email campaigns, such as open and click rates, to track how well they’re performing. Adjusting your tactics accordingly will help you maximize your success. 

3 Times When Brands Have Leveraged the Power of Email Marketing to Generate Value  

Airbnb boosted their bookings by 300% by using Email Marketing for their Referral Program.

They ran an email campaign to highlight their referral program – a great way to get customers to share their product with friends. The emails included attractive visuals and helpful information about the rewards users could earn by referring people. As a result, their customer referrals increased by up to 30%

Shopify’s Black Friday Sale Emails That Increased Revenue by 170%

Their emails had enticing visuals, language that drove urgency, and information on the specific discounts being offered. And consequently, the revenue from Black Friday saw a hike of 170%.

Image Source

Drift’s conversational email marketing generated an open rate of 75% & response rate of 25% 

From genuine replies from their subscribers, this email campaign stands out as it leaves readers feeling like they are having a conversation directly with someone at Drift rather than some sterile corporate message. Perfectly showing that email marketing isn’t just about sending automated cold emails but about forming relationships that last.

3 Tools Used for Email Marketing for Startups

MailChimp: 

MailChimp is an email marketing platform that allows you to create, send, and track emails. It has customizable templates, autoresponders, segmentation, automation, and reporting tools.

SendGrid:

SendGrid is an email delivery platform that offers a variety of features for sending, receiving, and tracking emails. Features include customizable templates, segmentation and list management tools, analytics, and reporting options.

Ortto:

It’s an all-in-one solution, offering customizable templates, powerful personalization features, AI segmentation options, and A/B testing insights. What sets Ortto apart from many other email marketing solutions is its customer data platform. Through this platform, users can unify their customer data for enhanced personalization in email communications that appeals to each consumer’s needs.

By leveraging the right strategies, tips, and tools, you can successfully use email marketing to grow your startup. With a bit of creativity and planning, you can ensure your emails are engaging and effective. 

Email marketing can be a great way for startups to reach new customers and build relationships with existing ones. With the right strategies in place, startups can craft effective emails that engage their target audience while allowing them to measure their performance over time. With these tips in mind, any startup can create an effective email marketing strategy that will help them grow their business.

If you are looking to grow your traffic and win more business through digital marketing, please feel free to reach our KiwiTech’s digital marketing experts, where you can take advantage of our experienced team of leading marketers to assist you with your marketing needs.

Everything You Need to Know About the Bitcoin Lightning Network

Blockchain wasn’t designed for scalability. It was intended to be a decentralized payment system that would keep participants anonymous and be accessible from anywhere. Blockchain’s popularity became one of its issues as transactions slowed down and proved to be more expensive than intended.

Scalability remained one of the most significant barriers to the widespread adoption of cryptocurrencies. If blockchain were designed for scalability, it could handle millions of transactions per second.

Developers of blockchain then created cryptocurrency layers, where the first layer is the primary blockchain, and every subsequent layer complements the one above it and adds functionality to the system. 

With that context, let’s find out what the Bitcoin Lightning Network is.

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What is the Bitcoin Lightning Network?

One of the issues with the Bitcoin blockchain is its languid processing speed of 5 transactions per second. To help fix that, developers conceptualized the Lightning Network, a second-layer solution to be placed on top of the Bitcoin blockchain.

The Lightning Network was proposed by two researchers in 2015- Thaddeus Dryja and Joseph Poon, in a paper called “The Bitcoin Lightning Network”. They based their writing on their discussions with Satoshi Nakamoto, the unknown creator of Bitcoin. Later, the two founded Lightning Labs, along with other contributors, started developing the Lightning Network and launched a Beta version of the Lightning Network in 2018.

The Lightning Network enhances the speed and efficiency of the layer-1 blockchain using off-chain transaction processing. The Lightning Network is akin to lanes branching out from an express highway so that if the highway is clogged by traffic, some of it can be diverted to the lanes, resulting in higher efficiency.

The Bitcoin Lightning Network offloads traffic from the main blockchain network to process some of it on the second layer. Transactions undertaken and executed on the second layer get vetted and confirmed faster and more inexpensively than those on the primary blockchain network. Thus, the Lightning Network also considerably brings down the cost of transactions.

What is the Need for the Lightning Network?

Satoshi Nakamoto’s description of Bitcoin in the 2008 white paper includes the phrase “peer-to-peer electronic cash”, meaning that the founder’s vision for the cryptocurrency was that it would one day become a popular way to pay for goods and services online.

As Bitcoin’s value grew exponentially over the years, the perception shifted as people began seeing Bitcoin as a “digital gold” or an inflation-resistant asset to store wealth over time, away from a centralized authority.

Bitcoin allowed strangers to securely send and receive value, utilizing mining as a way of achieving consensus. However, mining is a resource-intensive process.

The Lightning Network comes in to help Bitcoin function better as the digital currency its founder envisioned it to become. By making transactions more feasible- cheaper, quicker and more energy-efficient, Lightning Network reduces the cost of each transaction to fractions of a cent.

While the main Bitcoin blockchain could handle fewer than ten transactions a second, a Lightning network can handle millions of transactions a second. Additionally, an already sluggish blockchain network could get even slower if it was scaled on the primary blockchain by adding nodes. So, scaling layer-1 was out of the question and scaling layer-2 was almost necessary.

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How Does the Lightning Network Work?

Note that the Bitcoin blockchain was designed to function as a Peer-to-Peer (P2P) payments network. So, it was never equipped with the smart contracts system that Ethereum brought in on its Proof-of-Work blockchain.

The Lightning Network adds the smart contracts capability to the layer-2 network, enabling the creation of layer-2 payment channels between transacting parties. Each smart contract contains transaction details, including financial obligations and completion conditions, which, when fulfilled, trigger the smart contract to send data to the blockchain for recording purposes automatically.

Users must lock in Bitcoins to create a payment channel. Once they do so, both parties can transact instantaneously and inexpensively. Then, parties can close the channel when transactions are completed. To keep channels open, however, parties must keep adding more Bitcoin to the network.

Interestingly, parties don’t need to transact in pairs on the Lightning Network. If user A has an open channel with user B and user B has an open channel with user C, user A can transact with user C without establishing a direct channel. These interconnections drastically bring down transaction costs.

However, if user B discontinues their channel with user C, user A will be affected and required to pay and establish a channel with user C to transact with them. Two parties can transact for however long they want on the Lightning Network. Once they close the channel, the transaction is recorded on the primary blockchain.

This ensures that data is consolidated and then processed by nodes on the primary blockchain, reducing the need for resources on every transaction. Off-chain processing is also secure as it rests on the security protocols of the layer-1 blockchain, on which the solution is built.

The Lightning Network provides higher user privacy and maintains the anonymity of transacting parties, only displaying the total transfer of value and not the individual transactions. It’s unlike the primary blockchain, where each transaction appears on the public and transparent ledger.

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Concerns and Risks with the Lightning Network

The most evident concern with the Lightning Network is that it could replicate the hub-and-spoke model of today’s financial systems, where banks and financial institutions are the primary intermediaries through which transactions occur. Businesses investing in the Lightning Network may become similar hubs, failing the intention for decentralized transactions.

Let’s look at the other top concerns with the Lightning Network today:

  • Closed channel fraud – Let’s say users A and B each deposit an initial 0.5 BTC to open a channel, and a transaction of 1 BTC takes place where user A purchases goods from user B. If user B logs off after transferring goods and user A doesn’t, user A could broadcast the initial state before the 1 BTC was transferred. Both users get their initial deposits back in this case as if no transactions occurred. And user A receives 1 BTC worth of goods for free and gets their deposit back. This compels third parties (or watchtowers) to run on nodes within the Lightning Network to monitor transactions and prevent fraud.
  • Fees – Lightning Network comes bearing transaction fees in a combination of routing charges, fees on opening and closing channels and Bitcoin’s usual transaction fees. Moreover, businesses may start charging fees as they adopt the Lightning Network for payment settlements. Finally, because watchtowers are third parties, they charge for the service delivered. When two parties settle the bill among themselves, they record a closing transaction on the mainnet, which includes a fee (set or a percentage of the transaction) for forwarding the transactions.
  • Hacks – The Lightning Network is decidedly vulnerable to hacks and thefts as payment channels, APIs and wallets can suffer from malicious intrusion.
  • Malicious attacks – A risk to the Lightning Network is malicious and deliberate congestion of payment channels. Such traffic may block genuine participants from getting their money back due to slow transaction processing during congestion. Attackers can use an attack such as denial-of-service to congest a channel and steal funds from participating entities unable to withdraw due to network freeze.

Pros of the Bitcoin Lightning Network

Faster and cheaper transactions through the Lightning Network uniquely enable microtransactions, being the most important advantage of the network. Since it’s connected to the underlying Bitcoin blockchain, the Lightning Network benefits from Bitcoin’s security protocols.

It also allows users to choose the main blockchain for more significant transactions while utilizing off-chain for smaller transactions without compromising security and safety.

The Lightning Network enhances privacy, only allowing onlookers to see the total transfer of value instead of each transaction. It also reduces energy consumption to perform transactions on the Bitcoin network by allowing smaller transactions to be executed off the mainnet.

Finally, Lightning Network introduces smart contracts and multi-signature scripts to ensure that funds are transferred to the intended persons.

Cons of the Bitcoin Lightning Network

Besides the justified concerns about the Lightning Network we discussed in a previous section, the network has a few cons. A user must acquire a wallet compatible with it to use the Lightning Network. When they find such a wallet, they need to fund it from a traditional Bitcoin wallet and pay a fee to transfer Bitcoin to the Lightning Network.

Then, users need to lock up their Bitcoin to create a payment channel. Sending Bitcoin between wallets can be expensive and off-putting for early users. However, it is only getting more convenient as some wallets can manage both on and off-chain payments without paying any fee.

Another disadvantage is the inability to pull out some funds while keeping a channel active. Users need to close a channel in order to make any withdrawals. Closing or opening a payment channel requires users to pay a routing fee.

The Lightning Network suffers from bugs such as stuck payments in the form of outgoing transactions that don’t get verified. While the Bitcoin network refunds a stuck transaction, it could take days before users acquire their funds.

Finally, the Lightning Network might make little to no sense to regulators in the future because of its anonymity factor. If regulators don’t understand the need for keeping micro-transactions hidden and users anonymous, mainstream crypto users might also struggle to rely on the Lightning Network.

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What Does the Bitcoin Lightning Network’s Future Look Like?

In October this year, Bitcoin’s Layer-2 Lightning Network hit the capacity of 5,000 BTC ($100 million), less than four months after it hit the capacity of 4,000 BTC. This indicates that people are paying for goods and services, utilizing apps, or gambling, among other activities, on the Lightning Network.

Lightning Labs recently released a test version of new software to allow creating and working with assets on Bitcoin. The software, Taro, would allow stablecoins to be hosted on the network. And Lightning Network integration would enable their transfer across scaling solutions quickly and inexpensively.

Lightning Network has institutions eyeing it, with MicroStrategy looking for a full-time Bitcoin Lightning Software Engineer to build a SaaS platform and Lightning Network digital payment provider Strike raising  $80 million in a funding round led by Ten31 and joined by Washington University in St. Louis, the University of Wyoming, among others.

Those activities indicate that the future is bright for Bitcoin’s Lightning Network.

For dedicated assistance in developing and implementing blockchain-related projects, reach out to experts at KiwiTech.