People are tethered to their phones even when they are not using it. When they are not doing anything, they remain close to their phones to hear any notification ringtone.
More importantly, they use their phones to access websites, shop, watch YouTube, log on to Facebook or Instagram, or search on Google. By the end of 2019, the number of mobile Internet users would have grown to 4.68 billion.
A mobile UX designer optimizes your website making use of the best practices for mobile users. If your website is not yet optimized, you need to do it right away.
It’s projected that by 2021, 73% of all eCommerce activities will come from mobile users. Right now, China alone has 98% penetration rate in terms of mobile Internet.
What Can a Mobile UX Designer Do for You?
To answer that, you must first know what makes a good website. Google has attempted to answer this question by listing the following elements:
Make the navigation easy for the user. Call to actions should take a prominent position
The users can call customer service directly from the website
Menus should be clear and concise
Visitors tap the logo when they go back to the home page
The local search box should be visible at first glance
Add filters to narrow down the search, particularly for eCommerce sites
In the same vein, the site should yield relevant results in response to site query
Avoid site registration before users can explore your website
Users can make a purchase even without registering to your site
Quick sharing to social networks
Quick links so they can email themselves and finish the task on other devices
The website should be optimized for mobile, which means fonts are larger and the images are expandable
What Can You Expect from a Mobile UX Designer?
A mobile UX designer will make sure that people will have a positive user experience when they access your website through mobile devices.
A good designer will:
Conduct UX research to understand users’ needs and behaviors
Cut out the clutter for easier navigation. The navigation should be intuitive
Properly use colors, graphics, font, and negative space to highlight key content and promote activity
Test your mobile website for optimum experience and functionality
Make sure your website is stable for mobile use
Insist on the consistency of themes and design across devices
Ensure that important elements measure 18mm so they can be easy to tap
Finally, the mobile UX designer should ensure that your website loads fast. According to Google, most mobile websites load at an average of 15 seconds.
That won’t do. The same Google research warned that customers almost always leave when it takes more than 10 seconds for the mobile landing page to load. Even if the website loads for 1-3 seconds, the bounce rate will increase to 32%.
The mobile app services of Sunlight Media include a dedicated mobile UX designer who will check and test the architecture and workflow of your app. They will work with you to achieve your goals and ensure the app will adhere to your style guide. Head to their website now or contact them at 323-868-3581.
Content Rally wrapped around an online publication where you can publish your own intellectuals. It is a publishing platform designed to make great stories by content creators. This is your era, your place to be online. So come forward share your views, thoughts and ideas via Content Rally.
OCR (Optical Character Recognition) is a technique that is used to convert the text written on the images of scanned documents, subtitles in a TV broadcast, printed text, invoices, passports, etc. Soda PDF us this technique to helps its users edit the contents written in an image of anything.
OCR Module Tools in Soda PDF :
As we click on the OCR (Optical Character Recognition) module in the soda pdf document, a bunch of tools available in this section will appear on the screen that can help the user in editing the text present in the image.
OCR (Optical Character Recognition) does only one thing at the start, and that is the scanning of the image. After scanning it head towards the editing of the image text portion. All the tools given in this module determine how the OCR engine is going to interact with your document.
Auto and Manual Feature :
The auto and manual feature are very useful for the users of Soda PDF. Once these options select any image in the document, that image lights up and become accessible. This feature works only with the individual image at one time.
The selection of the auto option, helps us see that it will scan the image right away and makes the image editable without making any changes in the rest of the document. The manual feature will also do the same thing as the auto feature do, but the only thing you must decide is the part of the image that OCR will have to scan for you and what parts it ignores.
Page Range and Entire Document :
The page range and the entire document feature will scan the entire pages of your document. It will then create for you a new PDF of the recognized portions of your PDF so that your original document stays intact.
With the page range feature, you can pick any page range and scan it, or you can simply click on the option of the entire document to make a brand-new PDF for you of the whole document right away.
Batch :
Using the Batch feature, you can apply OCR to multiple PDF’s, and when they open up in Soda PDF, you can edit them right away.
From External Image :
You can also create a PDF directly from an external image ready to be edited using the From External Image to browse your computer and chose one.
Scan and Recognize :
If you want to use your scanner, you can click on Scan and Recognize option of OCR in your Soda PDF document. This option will create a PDF out of the scanned page. It makes it ready to use immediately and save some of your time.
what OCR (Optical Character Recognition) in Soda PDF does is that it not only helps you edit the entire image but also makes the text in that image editable for you. This is a very simple, yet a useful application of Soda PDF.
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Beyond the aesthetics of modern web design lies a realm of functionalities designed to entice, intrigue, and encourage action. It's not just about displaying information anymore; it's about creating a dynamic dialogue between the site and its visitors. From clever countdown widgets that build anticipation to popups that capture attention at just the right moment, interactive tools are redefining the digital journey.
As you embark on this exploration, you'll discover how these tools can be the key to not only attracting eyeballs but also driving tangible results. So, are you ready to unlock the next level of online engagement and conversion? Let's dive deeper.
Interactive Tools For Websites: Why It Is Crucial
In the vast universe of the Internet, websites often face the challenging task of standing out amidst a sea of competitors. It's no longer enough to simply be online; success hinges on how well a website can interact with its users. This is where interactive tools make a monumental difference.
The Link Between Engagement And Conversion
Every click, scroll, or hover on a website tells a story — a story of a user's journey from a curious visitor to a potential customer. Engagement is the first step in forging a connection. When visitors are actively interacting, they're investing their time and emotion into what the site has to offer. This active participation paves the way for conversions, whether it's signing up for a newsletter, making a purchase, or any other desired action. Simply put, higher engagement can often translate into higher conversion rates.
Benefits Of Interactive Features For Visitors And Businesses
For visitors, interactive features offer a personalized, immersive experience. Instead of passively consuming content, they're invited to participate, making their online journey more memorable and impactful. Whether it's a quiz that offers tailored product recommendations or a chatbot providing instant support, these features make the user feel valued and understood.
For businesses, the advantages are manifold. Interactive tools can lead to increased dwell time, providing more opportunities for branding and message reinforcement. They offer valuable insights into user behavior, preferences, and pain points, allowing businesses to fine-tune their strategies.
Pioneering Engagement Tools: A Closer Look
Delving into the world of pioneering engagement tools reveals a medley of innovative strategies designed to enthrall users and drive conversions. Here's a closer look at some game-changing tools that have redefined the way we interact online.
Countdown Widgets
How They Work:
At its core, countdown widgets for websites are digital timers, ticking away the seconds and minutes of a particular event or deadline. Be it heralding the launch of a new product, highlighting the end of a sale, or marking the start of a webinar, these widgets play on human psychology. The ticking clock creates a palpable sense of urgency and anticipation, compelling users to act before time runs out.
To maximize the effectiveness of countdown widgets, it's crucial to employ them judiciously. Overuse can desensitize users to a sense of urgency. Moreover, always ensure that the event or deadline you're counting down to holds genuine value for the user. Pairing the widget with compelling visuals and concise, action-driven text can further amplify its impact.
Popups
[caption id="" align="alignnone" width="2400"] Popups[/caption]
Different Types Of Popups:
Popups are versatile tools that can serve various functions.
Informational popups. These are designed to update users about essential website changes or privacy policies. They're typically concise and straightforward, ensuring users are informed without overwhelming them.
Promotional popups. They are the digital equivalents of storefront sale signs. These might advertise a limited-time offer or discount.
Feedback popups. They might ask for star ratings, brief comments, or even detailed reviews, helping businesses understand their strengths and areas of potential enhancement.
Email subscription popups. These popups invite users to stay connected by subscribing to newsletters, updates, or exclusive offers.
Exit-intent popups. Triggered when the system detects a user is about to close the tab or navigate away, exit-intent popups present a final, compelling offer or message.
The key to popups is moderation. Bombarding users with incessant popup messages can swiftly turn intrigue into irritation. Timing is crucial. For instance, an exit-intent popup can be a last-ditch effort to retain their attention. Similarly, understanding the user's journey can help in strategically placing popups for maximum effectiveness without being intrusive.
Interactive Surveys And Quizzes
Surveys and quizzes engage users actively, making them feel part of a two-way conversation. When a user takes a quiz, they're not just absorbing information; they're sharing insights about their preferences and needs. This enables websites to tailor content and offers precisely to the user, enhancing relevancy and driving engagement.
Beyond personalization, these interactive tools are goldmines of data. By analyzing responses, businesses can pinpoint audience segments, refine product offerings, and sharpen their marketing tactics. In essence, every user interaction becomes an opportunity for businesses to learn, adapt, and evolve.
Live Chat Features
Live chat serves as a digital concierge, connecting users with businesses in real time. No more waiting on hold or navigating through tedious email threads. With just a click, users can pose questions, raise concerns, or simply chat, fostering a sense of immediacy and personalized attention.
Gamification Elements
Games aren't just for fun; they're powerful engagement drivers. By incorporating gamification elements like points, badges, or leaderboards, websites transform mundane tasks into exciting challenges. Whether it's completing a profile, sharing content, or making a purchase, gamification rewards users for their actions, making their digital journey feel more like an adventure than a chore.
User Testimonials And Reviews
Nothing vouches for a brand like the voice of its customers. User testimonials and reviews provide an unfiltered glimpse into real experiences, offering prospects both validation and reassurance. These authentic narratives, beaming with praise or constructively critical, solidify a brand's credibility, paving the way for trust and long-term loyalty.
Avoiding Overwhelm: Less Can Be More
In the intricate dance of digital engagement, it's not always about having more tools, but about wielding them wisely. While it might be tempting to incorporate every interactive feature available, bombarding users with too many stimuli can lead to cognitive overload. It's like walking into a room with blaring music, flashing lights, and a crowd vying for your attention all at once.
The key is to curate and prioritize. A well-placed popup can be effective, but combine it with constant notifications, quizzes, and live chat prompts, and you risk alienating the user. Remember, the goal is to guide and engage, not to overwhelm. By being discerning in our choice of interactive elements, we can ensure that users not only stay but also enjoy their digital journey.
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.
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