4 WordPress Plugins to Make Your Blog More Powerful

02 April 2016

Starting a blog is one thing, but making it successful requires a lot of creativity and dedication. The blog is considered as an integral part of the lead generation process because it not only converts a random person to a potential lead but also helps him make better decisions. It is due to the reason famous B2B companies Cloudways and Design Mantic believes in doing effective blogging.

These companies are not only writing blogs to promote their services. But, they are producing remarkable content to quench the thirst of their prospects. And, this is where WordPress serves as a tremendous CMS.

If you are running a WordPress-hosted blog and looking for results-driven plugins, then you have reached the right place. Here, I will reveal some of the most amazing WP plugins that will take your blog to the sky in no time.

So, here you go…

All in One SEO Pack

If you are eager to make your blog successful, make sure to satisfy search engines. However, it is only possible if you are using an appropriate SEO friendly plugin for your WP hosted blog. Despite of hundreds of plugins, I prefer All in One SEP Pack. The reason is quite obvious. It is easy to use, extremely effective and helps in optimizing the content through brilliant use of targeted keywords.

Therefore, if you haven’t been optimizing your blog for search engines, then it is a perfect time for you to download this plugin for better outcomes.

Akismet

When running a blog, it is extremely essential for you to keep it protected against spammers. Because once you become the victim, you will have to go through some serious problems as far as the rankings and traffic is a concern.

To help resolve this issue, Akismet is a highly recommended anti-spam plugin for WP users. The best thing about this plugin is that it picks the spammers quite early and stops them make any unwanted activity within the blog. It is because of this reason I would suggest you install Akismet to your blog right now.

SumoMe

Running a blog without social sharing buttons is like writing a book and keeping it at home. Remember, attracting thousands of visitors to a blog won’t maximize the effect until you install a social sharing plugin. For this, I would strongly advise you to use SumoMe.

Industry influencer and a great human being Jeff Bullas also use SumoMe to help his readers share valuable content across all the gigantic social platforms quite easily. So, what are you waiting for?

Hello Bar

I believe that there is no other plugin better than Hello Bar for generating leads. I have been using this plugin for quite some time and it really helped me improved the figures quite drastically. There are two factors that make Hello Bar a legit choice for lead generation. The first one is its compatibility with WP and the second one is its attractive interface.

If you are desperately looking to attract more potential customers, then I would suggest you use Hello Bar as a vital source.

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Sharmita Shee

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Ecommerce Software Development Trends

In the past year, eCommerce has expanded from being something that would guarantee convenience to become somewhat of a necessity. In fact, according to experts, it has been one of the major avenues that have kept the global economy going. When the pandemic hit and lockdowns ensued, policymakers quickly realized that Ecommerce could be a major way for enabling people to access resources. Even before the pandemic hit, Ecommerce commerce was growing at staggering double-digit growth rates. According to UNCTAD, global Ecommerce has hit 25 trillion in 2018! For businesses, this means an exciting new opportunity. You can either take your physical brick-and-mortar store online or you can simply start an eCommerce platform and become an aggregator. In this resource article, we are going to focus on the best Ecommerce software development trends for businesses. List of 5 Major Ecommerce Software Development Trends 1. The Rise of Ecommerce Platforms- Retail software development has benefitted from the emergence of easy and simple eCommerce platforms. You do not need to spend a ton of money to start your own venture. You can easily choose between great platforms like WooCommerce, Shopify, Joomla, and BigCommerce. This has made it easier for people with lower investments to get into business in a short time. 2. The Growth of PWAs to boost Ecommerce- Ecommerce is all about the app experience. The rise of smartphones and internet technologies have made it possible to create immersive shopping experiences in apps. However, just like the last point, small businesses cannot afford to break the bank in terms of custom app building. Enter PWAs or Progressive Web Apps. These mimic the website experience like an app. 3. Voice Search Influencing Ecommerce- Look around you. There is a huge proliferation in the number of smart devices we are using to communicate with the internet. From home assistants like Alexa to connected Car technology and Google Assist on our phones, we are speaking to search engines and allowing them to help us. Ecommerce web development should take into account the role of voice search. 4. Social Media and Omnichannel Ecommerce Sales- You would have heard your friends or relatives bragging about how they got a great lamp from Facebook’s Marketplace. In fact, for experts, this is the next logical step in the evolution of eCommerce. As a business that is looking to get into this field, you must focus on omnichannel eCommerce sales and marketing. This can open up entirely new avenues for sales. 5. The Impact of Augmented Reality on Ecommerce- Tech innovators and software developers are now looking at ways and means of creating as realistic an eCommerce buying experience as possible. This is why Augmented Reality or AR is going to become the next big thing in eCommerce software development. People want to see how they would look if they would be able to have a virtual try for the products they buy. The Ecommerce Software Development Support System: What is it? While the above technologies are some of the biggest trends in the eCommerce software development ecosystem, there is more that meets the eye. Every developer or entrepreneur who has started an Ecommerce venture knows one thing for sure- it is all about the experience. To support this, there are three major verticals that you need to take into consideration. In this section, we are going to list them down- The Cloud Support- When you are hosting an Ecommerce website you are handling tons of data and details that not only need lightning-fast processing speeds but also guarantee a safe and secure environment. This is where the Cloud becomes important when it comes to creating a good user experience for the platform. Payment Solutions Providers- The growth of Ecommerce happened around the same time when the Fintech industry started booming. The better the payment solutions providers, the easier and comfortable will be the user experience. As a business, you will have to pick the ones that can benefit the business to the greatest possible extent. Mobile Commerce- Do you think that the Ecommerce industry would have taken off in the way it did if smartphones did not exist? Probably not. This is why mobile or M-commerce has become such an integral part of Ecommerce software development. Mobile responsiveness, experiences, and speed are what make a good platform great. The Bottom Line: There is a reason why the advent of new technology is taking Ecommerce software development to new heights. In this article, we have tried to look at some technologies that are redefining the Ecommerce ecosystem. We have also looked at technologies that are considered as the bare foundations that help in setting up an Ecommerce platform that is solid in terms of UI and UX. If you have any other questions that you want us to answer, drop them in the comments section below.

How Have Python Made Machine Learning Convenient?

In the world of software development, Machine Learning also known as ML and Python are the two most popular terms that are in the current craze. Python is a high-level software programming language that has become the underlying base of many famous applications like Nextdoor, Instagram, etc. Machine Learning is a very important part of Artificial Intelligence (AI). Both of them target towards improving the many aspects of computer applications in their own different ways. Python is a programming language that is extremely easy to understand because of its simple syntax structure. As a result, developing the applications becomes a quite easy and simple yet strong framework. Machine Learning, on the other hand, helps an application to self-improvement without any prior programming. Integration of Python with Machine Learning has offered a number of benefits to the candidates because of which, candidates are able to work in this field more conveniently and efficiently. In order to understand how Python has made things convenient for the individuals, it is important to understand the various facilities of machine learning with Python. How Have Python Made Machine Learning Convenient? Ease of Understanding: As discussed above Python is one of the simplest forms of programming applications. Since, Machine Learning consists of complex algorithms, having one easy language to form the structure increases the code readability and decreases its maintenance. Vast Libraries: The huge volume of libraries that are available in Python for Machine Learning’s disposal is simply amazing. Some of the famous libraries are Numpy and SciPy for respectively for scientific computation and advanced ones. Data Analysis and Mining heavily rely on SciKit- learn. One framework named PyTorch is specially developed for Machine Learning. Other popular frameworks include Apache Spark, CNTK, TensorFlow, etc. Better quality output: Python is easy to understand and develop leaves the developers with plenty of time to increase the quality of Machine Learning application. The trial and error time on the complex algorithms is much less thereby providing plenty of space for improvement. The result of such an effort is usually very satisfying providing the end user with a pleasant experience. Extensive Support: The community of Python and Machine Learning Developers is ever increasing. In case, one stumbles in any area for their development, there is a horde of solutions available that are provided by the members of this huge community. Help is just a click away for any issues that one encounters during the course of development Flexibility: The flexibility the Python provides in developing frameworks for Machine Language is just amazing. The numerous approaches that can be used in development are lucrative for the designers and the developers. Linking data is altogether quite different becomes very easy for Python based Machine Learning frameworks. Name and Fame: The popularity of Machine Learning with Python base is on high demand. As a result, more and more people are inclining to learn and use the combinations. Therefore, it is easy to get such trained individuals in the market and get the job done. Higher Career Opportunities: In the hindsight of the previous discussion, more and more companies and organization are changing their base towards Python based Machine Learning frameworks. Therefore, job opportunities are increasing. This results in getting better jobs where the pay is extremely good and rewarding. Fewer Trials and Tribulations: Since Python has such a huge number of libraries, there is no practical need to compile the language in the instructions of the Machine Learning beforehand. It can be directly used in the program. Needless to mention, it saves time and effort which the two essential factors in any development and delivery. Cost Saving: It is a known fact that Python is an open source language that can be used freely in the system without any licenses. This aspect saves a huge amount of money that is otherwise spent on licensing fees across numerous platforms. The cost saving is immense which increases the budget of the project thereby increasing the quality in general. Dynamic Support: Machine Learning is a fast-paced framework that needs dynamic support. There are very less number of high-level programming languages in the current market that can provide such support, except that of python. Platform That Is Quite Independent: The flexibility that Python provides urges the developer to use it in any Machine Learning platform. This independence of platform that can be seen in the case of Python is making it extremely handy for a Machine Learning project that leads to successful development. Statistical Modeling: The model that can be used to develop a Machine Learning framework can be many. Python helps to create statistical modeling for the Machine Learning that is easy to comprehend and maintain. Data Set Maintenance: The first step towards developing a successful Machine Learning framework is to maintain a strong data set. Data set can be defined as a collection of information that the Machine Learning uses to enrich its algorithms. Using Python to set up the data set for Machine Learning is extremely easy and hassle-free. No Learning Hassles: As previously mentioned Python is easy to understand. This causes no learning hassles for individuals. Therefore, creating able developers with Python knowledge for Machine Learning frameworks becomes quite easy and less time-consuming. Easy Transition in Research: The machine learning frameworks that are primarily developed for the research projects rely heavily on Python as their base. Research projects related to pattern recognition or data analysis do not have enough time or budget for complex development languages. In such scenarios, Python provides the best solution with its ease of understanding and easy comprehensiveness. Customization Is Quite Convenient: Python’s flexibility with its easy to understand programming syntax and platform independence actually helps it to be customized to any need. A solution fits in all the needs and requirements without much hassle. Highly Adaptable In Nature: Python is a programming language that is quite easy to comprehend. The range of its comprehension is on a global scale. Even a fourteen-year-old kid would be able to understand and code in Python. This aspect increases its adaptability in the numerous Machine Learning platforms that are widely used across various areas. No Space Crunch: Machine Learning is all about efficient data handling and the way an application with the use of available data can do a better performance without any human intervention. This requires a lot of server space to load various kinds of data to feed into the respective algorithms. Python’s easy code requires much less space as compared to others. Therefore, it saves precious server space to accommodate more data thereby increasing the Machine Learning performance. Conclusion: The rising popularity wave of Python and Machine Learning will not go away that easily. Therefore, it is high time that both these aspects should be learned and implemented. Learning them would open different doors for numerous opportunities. Python because of its easy comprehensiveness will be the only weapon to code Machine Learning in the near future. It is always advised to future ready with an enhanced skill set. Machine Learning will slowly have a huge impact on the world we live in. Understanding and controlling machine learning would be the only way to survive in the cutthroat competition. Using the weapon of python one should start conquering the area of Machine Learning. It is the best buddy that developers want to be friends. The benefits would be extremely rewarding when one integrates the programming language of Python with the various aspects of Machine Learning framework. Read Also: How Developers Can Get More Out Of Hadoop? Kids Will Get These Benefits If They Learn Coding New Platforms To Explore In Advertising This Year 5 Things To Take Into Account To Hire Custom Software Development Services Coming Soon: A New Tech Challenge For Lenders – UMDP Data Standardization To Aid Closing

Here’s What You Should Know About Domain Registration

A website is essential today to grow your business in this technological era. To launch a website, you need domain registration and name, which helps the visitors identify and visit it. A domain name acts as an address and guides the customers or visitors to your website. This demands a business to create or find a suitable name to bring traffic to its website and increase its sales. For a business to improve its brand image, a website with a good domain name and design and high-speed hosting services are important. Therefore, searching for a distinct domain using a search tool and buying it from a reliable source helps you do the domain registration at an affordable price. 3 Factors Which You Have To Know About Domain Registration Nevertheless, finding a suitable domain requires you to put some effort into creating a name that represents your business, brand, service, or product. The IP address of your website consists of several numbers, which are not easy to remember. A domain registration name replaces the series of numbers to help one remember a website’s address easily. A name that is easy to remember needs to follow certain requirements. Here are some points to consider when choosing a domain name. 1. Choose A Perfect Domain Name To have your domain easy-to-remember and accessible to your customers, choose short names that include keywords related to your business or industry. For better traffic, your website anime selections are essential. Avoid using hyphens, numbers, or special characters because they will confuse Internet users, who will find them difficult to type or remember when they search your website online. Moreover, you need to do the domain registration and name with the right extension, which can be any of the generic top-level extensions such as .com, .org, .net, online, .site, .club, .biz, .info, .host, etc. The domain extensions will help give your business and brand more visibility and reachability. 2. Use The Domain Name Search Tool To Find A Perfect Name With more than 2 billion websites on the web, it is not easy to just register domain instantly. To help you with it, you can get the assistance of a domain name service provider, who can offer you a domain name search tool, which will help you find the availability of your desired domain. To use the tool, you need to enter your preferred name in the tool’s search bar and click on the ‘search' button. If the mentioned name is available, the page will redirect you to the purchase page or else. You will be prompted with the message “domain name not available.” In such cases, you can change the spelling or change the extension and search until you get the domain registration. Relevant niches names are the best pick as the website’s names. 3. Protect Your Domain From Malicious Intrusions A domain registered or bought should be safeguarded from malicious intrusions. Once the domain registration is done, all your personal data provided for registration is available for the public to view. Keep your domain secure. All the search engines are giving the maximum preferences to secure websites. The security maintained is not only giving your customer a safe place for transactions. It is also going to boost the positions of your websites. To avoid viewing it, you can shield your information with security tools like the privacy and protection scans available with the registrar or web hosting service provider. By paying extra, you can opt for privacy protection. Conclusion: For your domain registration, you must have to follow these things and factors. Because you are doing the analysis about the registration process, you will have to know more about it. But if you have any plan to set up an e-commerce based website, you have to analyze the websites’ risky factors especially. And build the website as secure as possible. So take a look at the characteristics and investigate everything before going for the registration process. Read Also: SEO Website Design Tips for Small Businesses Tips on Building Your Resume for a Website Design Company How to Design an Effective Company Website 7 Rules of Effective Ecommerce Web Design

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Ecommerce Software Development Trends

How Have Python Made Machine Learning Convenient?

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