Technology
How Much Does it Cost to Develop an MVP in The USA
MVP development offers several advantages to businesses and it is common knowledge that MVP development incurs less cost than full-fledged product development.
However, the answer is not enough for most business decision-makers – knowing the ballpark estimate of MVP development cost gives a far clearer picture and allows businesses to plan, budget, and strategize accordingly.
This blog breaks down MVP development costs based on the list of factors that influence it.
Progression from an Idea to an MVP
Turning an idea into a Minimum Viable Product (MVP) involves several stages that require time, effort, and expertise. Below is a detailed breakdown of the costs incurred during each phase of MVP development.
Discovery
The discovery phase is crucial for laying a solid foundation for your MVP. This stage involves the following tasks:
Requirement analysis:
Understanding the project requirements and defining the scope.
Wireframing:
Creating initial sketches of the user interface to visualize the layout and functionality.
Proof of concept development:
Developing a basic version of the product to validate the feasibility of the idea.
Prototyping:
Building a more detailed model to test specific features and functionalities.
Estimated time required:
This phase typically takes a few weeks to a month and costs around $10,000 – $12,000
Development
The development phase is where the actual product is built. This stage requires the following expertise and tasks:
Expertise required:
Designers:
Designers with relevant experience and expertise to create an engaging and user-friendly interface.
Developers:
A team of senior, mid-level, and junior developers proficient in technologies required for the project. Developers typically write the code for the application’s functionalities.
Project Manager:
Typically, one project manager who oversees the project and ensures that it stays on track.
QA Engineers:
To test the application and ensure it is free of bugs.
Tasks involved:
UI/UX Design:
Creating detailed designs for the user interface and experience.
Feature programming:
Writing the code for the core features of the application.
Feature testing:
Ensuring each feature works correctly through rigorous testing.
API development and integration:
Developing and integrating application programming interfaces to enable various functionalities.
Feedback implementation:
Incorporating feedback from the client and users to improve the product.
Market deployment:
Deploying the MVP on the intended platforms, such as app stores.
Estimated Development Time:
It takes around 6-8 months to develop an MVP.
Accumulated cost based on the talent’s hourly rates:
The cost can vary significantly depending on the complexity of the project and the location of your development team. On average, it ranges between $40,000 and $80,000.
Options for MVP development
In-house development
Scenario 1 – Already have an in-house team
How this works: If you already have an in-house team, the MVP development process involves utilizing your existing resources to build the product. Your team will be responsible for all aspects of development, from initial design to deployment and maintenance.
Pros:
- Control: You maintain complete control over the development process.
- Communication: Easier communication and collaboration since the team is within the same organization.
- Confidentiality: Reduced risk of intellectual property theft.
Cons:
- Resource Strain: Your current projects might suffer if resources are diverted to the MVP.
- Limited Expertise: Your team might lack the specific skills required for the MVP.
- Cost: Fixed costs associated with maintaining the team, regardless of workload.
Scenario 2 – Hiring an in-house team
How this works: This involves recruiting new employees specifically for the MVP project. This can include developers, designers, testers, and project managers.
Pros:
- Dedicated Team: A dedicated team focused solely on the MVP can increase productivity and quality.
- Tailored Skills: You can hire team members with the exact skills needed for the project.
- Long-term Value: The team can continue to develop and maintain the product post-launch.
Cons:
- High Initial Cost: Recruitment, salaries, and benefits can be expensive.
- Time-Consuming: The hiring process can be lengthy and might delay the project start.
- Uncertainty: If the MVP fails, the investment in the team might not yield the expected return.
Additional Consideration: Only consider hiring an in-house development team if the estimated profits from the MVP are projected to outweigh the costs of development.
Staff Augmentation
How this model works: Staff augmentation involves hiring temporary external developers or other professionals to supplement your existing team. This can be done through contract work, freelancers, or agencies.
Pros:
- Flexibility: You can scale the team up or down based on project needs.
- Cost-Effective: Lower costs compared to hiring full-time employees.
- Access to Expertise: Gain access to specialized skills that your in-house team might lack.
- Speed: Quickly ramp up your development team without the lengthy hiring process.
Cons:
- Integration: External staff might take time to integrate with your in-house team.
- Communication: Potential communication barriers if the augmented staff are remote.
- Dependency: Reliance on external personnel who may leave once the contract ends.
- Quality Control: Maintaining consistent quality and oversight can be challenging.
Outsourcing to a Software Development Company
How this model works: Outsourcing involves contracting an external software development company to handle the entire MVP development process. This includes everything from initial design and development to testing and deployment.
Pros:
- Expertise: Access to a team with broad experience and specialized skills.
- Focus: Allows your in-house team to focus on core business activities.
- Speed: Development companies often have established processes and can start quickly.
- Cost-Effective: Potentially lower costs compared to maintaining an in-house team, especially for short-term projects.
Cons:
- Control: Less direct control over the development process and priorities.
- Communication: Potential communication issues due to time zones, language barriers, or different work cultures.
- Quality and Reliability: Varying quality between companies; need to thoroughly vet potential partners.
- Security Risks: Increased risk of intellectual property theft or data breaches.
Evaluating the Software Development Company:
- Reputation: Research the company’s history, client reviews, and case studies.
- Expertise: Ensure the company has experience in your industry and with similar projects to gauge the effectiveness of their MVP development services.
- Communication: Assess their communication practices and ensure they align with your expectations.
- Transparency: Look for a company that provides clear timelines, cost estimates, and regular progress updates.
- Post-Launch Support: Consider the availability of ongoing support and maintenance services after the MVP launch.
Additional Factors that Influence the Cost of MVP Development
When developing a Minimum Viable Product (MVP), various factors can significantly impact the overall cost. Understanding these elements can help in better planning and budgeting for the project. Here are some crucial factors that influence the cost of MVP development:
Technology Stack
The choice of technology stack is a pivotal factor in determining the cost of MVP development. If the project requires the use of cutting-edge or highly specialized technologies, the cost will likely be higher. This is primarily because experts in these niche areas are often scarce and command higher salaries. For example, employing a tech stack that includes advanced machine learning algorithms, blockchain technology, or uncommon programming languages can drive up costs. Conversely, using more common and widely adopted technologies can reduce expenses, as there is a larger pool of available talent.
Location
Geographical location plays a significant role in the cost of MVP development. The hourly rates for developers and designers vary considerably around the world. Typically, Asian countries such as India, Vietnam, and the Philippines offer the most cost-effective options, with lower hourly rates compared to their counterparts. In contrast, North America and Europe are among the most expensive regions for hiring tech professionals. For instance, a developer in the United States or Western Europe might charge three to four times more per hour than a developer in Southeast Asia. Thus, choosing a development team from a region with lower labor costs can significantly reduce the overall project budget.
Project Scope
The scope of the project is another critical factor affecting the cost of MVP development. This includes the number of features and functionalities, the complexity of the application, and the level of UI and UX design required. A project with a vast array of features, intricate functionalities, and sophisticated user interface design will inherently cost more than a simpler, more streamlined MVP. For instance, an MVP requiring advanced data analytics, real-time synchronization, and custom animations will necessitate more development time and expertise, thereby increasing costs. Additionally, high standards for user experience and interface design will demand more resources in terms of design and testing, further driving up the expenses.
It is difficult to give exact numbers for MVP development cost estimations, there are multiple factors of consideration including the nature of team onboarding, the technologies selected, and the market you are targeting.
In today’s fast-paced digital landscape, decision-making is the lifeblood of enterprise growth and resilience. Organizations are constantly seeking the edge that allows them to make faster, smarter, and more informed decisions. In recent years, enterprise AI tools have emerged as a game-changer, reshaping how businesses process information, analyze data, and act strategically. But how exactly do these tools enhance decision-making processes at scale? From data-driven insights to autonomous operations, let’s explore the transformative impact of AI on enterprise-level decisions and why investing in AI-powered platforms is now a competitive necessity.
Understanding Enterprise AI Tools
At its core, enterprise AI refers to the integration of artificial intelligence capabilities into business applications, workflows, and processes. These powerful tools range from enterprise ai platforms that streamline data handling to specialized AI agents that automate tasks and even make independent choices within set parameters. Unlike traditional software, AI tools can learn from data, adapt to new conditions, and continuously improve their recommendations.
The Power of Data-Driven Decisions
An overwhelming amount of business data is generated every second — from customer interactions and sales to supply chain movements and social media trends. Sifting through this data manually is impractical. AI tools, such as machine learning models and enterprise ai agents, are built for this very challenge. They can process enormous data sets at remarkable speeds, identify patterns invisible to human analysts, and provide actionable insights in real time.
This data-driven approach empowers enterprises to make proactive rather than reactive decisions. When a retail company, for example, leverages AI to analyze shopper behavior, they can anticipate demand, adjust inventories, and fine-tune marketing strategies—all based on timely, evidence-backed insights.
Enhancing Human Expertise with AI Agents
One of the most exciting advancements in enterprise AI is the rise of AI agents—software entities that act autonomously on behalf of users or organizations within digital environments. But, what is an ai agent? At a fundamental level, an AI agent perceives its environment, processes information, and takes action to achieve predefined goals. In the enterprise realm, these agents can automate everything from handling customer queries and processing invoices to detecting cybersecurity threats.
AI agents don’t just boost speed and efficiency; they augment and scale human expertise. By handling repetitive or complex decision points, they free up leadership to focus on creativity, long-term strategy, and relationship-building.
Real-Time Analytics for Agile Responses
Making sound decisions often hinges on timing. Traditional BI (Business Intelligence) systems may offer static reports, but AI-powered analytics are dynamic and immediate. By deploying an enterprise ai platform that integrates AI-driven analytics, companies can monitor key performance indicators in real-time and receive instant notifications when anomalies or opportunities appear.
Imagine a financial services firm that uses AI to flag suspicious transactions as soon as they’re detected. Instead of waiting for a delayed manual review, the business can take preemptive action—protecting reputations, resources, and customer trust.
Automating Complex Workflows
Enterprises routinely face multi-step, high-stakes decisions: approving credit, optimizing supply chains, or managing assets, for instance. AI tools can orchestrate these complex workflows with minimal human intervention. Utilizing sophisticated algorithms, the AI evaluates a multitude of variables, weighs probable outcomes, and recommends the best course of action.
For global manufacturers, this could translate to instantly rerouting logistics to avoid disruptions or forecasting machine maintenance to prevent costly downtimes. The result? Crucial decisions are created, validated, and executed faster and with greater precision.
Improving Accuracy and Reducing Bias
Human decision-makers, no matter how experienced, are prone to cognitive biases and errors. Fatigue, incomplete information, and emotional influences can skew even the most important choices. AI systems, when designed inclusively and trained on diverse data, reduce such biases by applying uniform standards and objective analysis.
Instead of relying on gut feelings or past experiences, leaders can trust AI-generated insights grounded in robust statistics and current realities. This not only boosts confidence but also brings consistency to decisions across the organization.
Scalability and Customization
A major limitation of human-driven decision-making is scalability. As businesses expand, the complexity and volume of decisions grow exponentially. AI platforms overcome this barrier by scaling effortlessly—from small teams to global operations—without compromising on quality or speed.
Modern enterprise ai solutions are also highly customizable. Organizations can tailor AI decision-making to fit unique policies, market requirements, and operational constraints. Through continuous learning, AI tools evolve alongside the business, always adapting to changing circumstances and priorities.
The Role of Transparency and Explainability
While AI can recommend or make decisions independently, it’s crucial that decision-makers understand the ‘why’ behind them. Leading AI solutions emphasize explainability—the ability to trace how and why an AI arrived at a specific conclusion. Transparent AI fosters trust, helps organizations meet regulatory requirements, and facilitates the collaboration between human and artificial decision-makers.
Collaboration Between Human and Artificial Intelligence
The future of decision-making isn’t about humans versus AI—it’s about synergy. Enterprises gain the most value when they combine human creativity, intuition, and ethics with the analytical power and speed of AI. Together, they form a powerful partnership where machines handle data-heavy tasks, while leaders focus on visionary thinking and nuanced judgment calls.
Industry Use Cases: Enterprise AI in Action
- Finance: AI agents monitor trades, detect fraud patterns, and optimize portfolios in real time.
- Retail: Predictive analytics guide merchandising, pricing strategies, and personalized customer engagement.
- Healthcare: AI streamlines patient diagnosis, supports treatment planning, and manages resource allocation.
- Manufacturing: Predictive maintenance schedules lower costs while supply chain AI minimizes bottlenecks and delays.
These are just the tip of the iceberg—AI’s ability to enhance enterprise decision-making spans every sector and discipline.
Choosing the Right Enterprise AI Platform
With a multitude of AI solutions available, selecting the right platform is critical. It’s important to consider scalability, ease of integration with existing tools, data security, and the availability of robust support. Leading enterprise ai platform providers offer comprehensive features, from custom AI agent creation to seamless workflow automation and real-time analytics.
Moreover, organizations can leverage lists of ready-to-deploy ai agents to address specific operational needs, ensuring rapid ROI and a smoother digital transformation journey.
Unlocking the Next Level of Business Intelligence
Enterprise AI isn’t just a technological upgrade—it’s the foundation of tomorrow’s decision-making excellence. By embedding AI into core business processes, organizations move beyond simple automation to true intelligence. They’re able to make better decisions, faster, and at greater scale than ever before.
As AI continues to advance, the value it brings to enterprise decision-making will only accelerate. The organizations embracing AI today aren’t just keeping pace with innovation—they’re shaping the future of their industries.
Frequently Asked Questions About Enterprise AI Tools and Decision Making1. What are enterprise AI tools?
Enterprise AI tools are software solutions powered by artificial intelligence technologies, designed to automate, optimize, and enhance complex business processes and decision-making at scale.
2. How do AI agents improve enterprise operations?
AI agents automate repetitive tasks, analyze data, and make independent recommendations, allowing businesses to act faster while reducing human error and cognitive bias.
3. Are AI-driven decisions always accurate?
While AI tools improve accuracy by processing data objectively, their effectiveness depends on the quality of the data and the design of the AI algorithms.
4. How can AI reduce bias in decision-making?
AI reduces bias by applying consistent standards and analyzing vast amounts of data objectively, provided it is trained with representative, unbiased datasets.
5. What industries benefit most from enterprise AI?
Industries such as finance, healthcare, retail, and manufacturing are seeing significant gains, but any sector dealing with complex data or process automation can leverage AI’s benefits.
6. What is the difference between an AI agent and traditional software automation?
Traditional automation follows simple, predefined rules, whereas AI agents can perceive their environment, learn from outcomes, and adapt to new scenarios autonomously.
7. Is explainability important in enterprise AI tools?
Yes. Transparency and explainability are crucial for trust, regulatory compliance, and effective collaboration between humans and AI systems.
8. How does AI integrate with existing enterprise software?
Leading enterprise AI platforms offer APIs and integration tools that seamlessly connect with existing ERP, CRM, BI, and data management systems.
9. What should businesses consider when selecting an AI platform?
Scalability, integration capabilities, security, explainability features, and user support are key criteria for selecting an effective enterprise AI platform.
10. Will AI replace human decision-makers in enterprises?
AI is designed to augment and scale human expertise, not replace it. The best results come from a partnership where AI handles data-heavy analysis and humans focus on strategic, creative, and ethical decision-making.
By understanding and leveraging the capabilities of enterprise AI tools, forward-thinking organizations are stepping confidently into a future where every decision counts—and every insight can drive lasting success.
As businesses evolve, they upgrade to better tools for managing their day-to-day activities. One of the tools that helps businesses grow is a collaborative platform, SharePoint. It serves as a centralized hub for document management, team collaboration, and other needs.
Organizations, due to reasons like mergers, acquisitions, etc., must transfer their data across SharePoint accounts. However, SharePoint to SharePoint migration is a challenging task that requires detailed knowledge about its architecture and how data is organized in the sites. Without adequate expertise in this field, transferring your SharePoint data can be catastrophic.
What are the Challenges of SharePoint Data Migration?
Despite the compelling benefits, SharePoint migration is not a simple drag-and-drop operation. Anyone trying to migrate to SharePoint must be aware of the following challenges:
SharePoint Migration Planning
Jumping straight to migration without a plan is a recipe for disaster. To avoid data corruption or complete data loss, a clear migration strategy and timeline is needed. You must consider the SharePoint migration limitations like restrictions on special characters in file names and URL length limitations.
Furthermore, proper communication between the different departments should be smooth. Without proper collaboration from every team member, the migration outcome can be disastrous.
Understanding the Large Volume of Data
The SharePoint data can range from a few GBs to a few hundred TBs. Analyzing this huge data set and understanding what to transfer and what to skip is a challenging task. Also, you must clearly set a priority level for the data transfer. Other difficult and time taking tasks involve categorizing data across various sites, lists, and libraries.
Identifying redundant information and determining the total data volume of data that will be transferred to the destination is equally important. Neglecting this step can lead to inefficient migration and potential data corruption due to insufficient storage.
Which Migration Type to Choose?
Just planning and analyzing data is not enough. You must also know which data migration method is best according to your organization. In my experience, I have seen a few businesses suffer heavy losses due to wrong way of transferring data.
Several types of migration exist, like batch migration, transferring all data at once (lead to significant downtime), and hybrid SharePoint migration. Alternatively, you also have the option to transfer the data in such a way that allows continued access to SharePoint data during migration.
Ensuring Original Data Integrity and Formatting
For an efficient SharePoint migration, you must make sure all the data remains in the original state. Any modification in the metadata, folder structure or hierarchy can create confusion in the organization. You must preserve the metadata, such as file name, creation dates, author information, and version history.
Failing to do so will consume significant amount of time in correctly organizing the data after migration. Furthermore, SharePoint sites have different permissions and access levels assigned. Migrating SharePoint data along with all its permissions is also important to avoid any data accessibility issues or security breaches.
When to Start the Migration?
You cannot just start migration whenever you feel like it. You are migrating data from live servers. Therefore, picking the wrong time, especially during the peak hours, will lead to serious downtime issues.
Ask your team members about the off-peak hours to avoid impacting your user’s experience. If you plan on a scheduled migration then you have to rely on a third-party SharePoint data migration tool, since the native method from Microsoft lacks this feature.
Updating or Educating your Work Force.
Whether you are doing a SharePoint to SharePoint migration or transferring data from an on-premises server to SharePoint Online. Employees who will be handling the SharePoint sites must be trained about their operation and use.
A successful migration isn’t just about moving data. It also involves adapting to the new environment. To achieve this, you must run comprehensive training programs, especially when migrating from significantly different ecosystems like Google Workspace.
Proven Solutions to Achieve Efficiency in SharePoint Data Migration
Overcoming the challenges in the previous section requires a strategic approach and the right tools. Follow the guidelines given below for an interruption free migration:
- Proper Planning and Assessment: Invest significant time in planning the migration. Consult with your team to clearly define the steps and approach you must take. Make a detailed migration roadmap for an efficient migration.
- Select the Right Tool: For migrating from on-premises SharePoint and file shares to SharePoint Online, you can use Microsoft SharePoint Migration Tool (SPMT). For migrations from external environments like Google Workspace, Migration Manager can be helpful. However, for advanced features like scheduling and granular filtering, use a third-party SharePoint data migration tool like Kernel for SharePoint Migration.
- Minimize Downtime with Correct Migration Type: If you have large datasets, then phased migration and batch migration approaches will be most beneficial for you. These migration types, due to their data transfer nature, help to reduce the downtime. Categorize data and migrate it in manageable batches.
- Remove Obsolete Data: Before migrating, try to clean and optimize the data. Identify and remove redundant, outdated, and trivial data to reduce the migration time and improve the efficiency of the process.
- Data Mapping and Permission Migration: Carefully map the data fields between the source and destination environments to ensure data integrity. Use migration tools that allows you to schedule the migration and can even transfer SharePoint Sites permissions and access rights.
- User Training and Testing: Implement a comprehensive user training plan in advance of the migration. Conduct testing in a temporary environment to identify and resolve any potential issues. Also, after migration, validate data integrity.
- Expert Assistance: If you do not have a SharePoint administrator or they have less experience in this field, take assistance from outside. Contact experienced SharePoint migration consultants who can provide guidance, planning assistance, and technical expertise.
Conclusion
Better team collaboration, enhanced security, improved performance, or integration of new AI features. Whatever your reason may be, it’s worth migrating to SharePoint. This blog covered the common challenges you will face during SharePoint migration, along with proven solutions to help you.
However, for an efficient migration, it is vital to pick a reliable SharePoint data migration tool like Kernel for SharePoint Migration. The tool allows for scheduling migrations and transferring permissions. Take the free trial today.
Introduction
The current competitive eCommerce landscape makes supporting features that empower consumers to make informed choices instrumental in boosting conversion rates. WooCommerce product compare as a feature comes in handy just for this scenario. Enabling customers to contrast differences between many products side-by-side makes purchasing easier and speeds up the completion of the sales process. It is worth questioning how to appropriately use WooCommerce product comparison features or which plugins may be used while ensuring seamless function.
What Is WooCommerce Product Comparison?
WooCommerce product comparison is a feature that allows online consumers to compare features, specifications, prices, and reviews of various products directly on your website. Rather than having to open several product tabs or constantly switch between listings, customers can easily compare WooCommerce products in one location.
This functionality is especially beneficial in product categories such as electronics, fashion, or home appliances, where the purchase decision is based on product features. Providing this convenience is a positive reflection on your brand and keeps the customers interested.
Advantages of WooCommerce Product Compare
Having a WooCommerce product compare functionality has a number of benefits:
Informed Purchases: Customers are able to compare products on different parameters and make informed buying decisions.
Lower Returns: With more defined expectations prior to buying, returns due to misinterpretation are less likely.
Higher Engagement: Consumers spend longer browsing your site when they are able to engage with products via comparison.
Higher Conversions: Faster decision-making can result in quicker checkouts.
Best WooCommerce Product Comparison Plugin
To include comparison functionality in your store, use a WooCommerce product comparison plugin. Such plugins typically provide customizable comparison tables, automatic product data syncing, and mobile-friendly layouts.
Some of the most popular ones are:
YITH WooCommerce Compare: A top solution with drag-and-drop comparison and customizable templates.
Products Compare for WooCommerce: A lightweight solution that works with your current theme.
Compare Products WooCommerce Plugin by WPXtension: Reckoned for having a seamless user interface and advanced features.
Whichever compare products WooCommerce plugin you use, ensure that it works with your version of WooCommerce and has support for your product types.
How to Set Up Product Comparison in WooCommerce
Product comparison setup on your WooCommerce store is easy with the correct plugin. Here’s the lowdown:
Install the Plugin: Navigate to your WordPress dashboard > Plugins > Add New. Search for your preferred WooCommerce product comparison plugin, install and activate it.
Configure Settings: Adjust the comparison table design, button appearance, and where the comparison feature is shown.
Add Comparison Tags: Tag your products with comparison-friendly tags such as size, color, features, etc.
Test User Experience: Verify that customers can easily choose and compare WooCommerce items without hiccups.
You can also place the comparison option on category pages or through a floating button to enhance visibility.
Advanced Features to Search for in a Compare Products WooCommerce Plugin
While choosing a plugin, look for these advanced features:
AJAX functionality for live comparison updates without page reloads.
Mobile responsiveness to provide usability across devices.
Custom attributes support for comparing special product specifications.
Wishlist or Save for Later integrations for an enhanced user experience.
These aspects provide a more active and individualized shopping experience, further increasing the value of your WooCommerce product comparison tool.
SEO and Marketing Impact
Employing a WooCommerce product comparison feature benefits not only customers but also SEO. By building comparison pages that are search engine-indexed, you have a better chance of catching long-tail keywords such as “Product A vs Product B.” Furthermore, keyword-dense comparison tables increase keyword density and relevance, which benefits your organic rankings.
Marketing-wise, comparison features can be advertised in your product emails, social media, and retargeting ads to re-engage users who previously browsed several products.
Conclusion
Providing a WooCommerce product compare feature is no longer an option; it’s becoming the norm for customer-focused eCommerce stores. From assisting customers in finding the correct product to increasing your store’s conversion rate, the advantages are clear. Select the correct WooCommerce product comparison plugin, make it your own to fit your brand, and watch as customer satisfaction and sales increase.
With comparison tools that make it easy for customers to compare WooCommerce products, you build a frictionless shopping experience that engages users. Don’t let this chance slip away—begin applying compare products WooCommerce plugin features to your store today!
A WooCommerce compare products feature makes shopping more engaging by enabling customers to compare two or more products side-by-side. This feature facilitates well-informed purchasing decisions, minimizes returns, and maximizes conversions. With a WooCommerce product comparison plugin, owners can show editable comparison tables, enable mobile views, and provide essential product information. Plugins such as YITH and WPXtension’s compare products WooCommerce plugin are in high demand. The feature also supports SEO by generating keyword-rich comparison content. By enabling users to compare WooCommerce products efficiently, you increase customer satisfaction and establish a competitive, user-friendly online store experience. https://thebigblogs.com/guest-posting/#wpfa:cG9zdC5waHA/cG9zdD0xMTg0NTYmYWN0aW9uPWVkaXQ=
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