SEO Website Design Tips for Small Businesses

10 February 2021

As a small business owner, you may feel like you need to do everything at once. Build your site, generate great content, advertise, keep up with search engine algorithms, learn who your audience is, learn who your competition is – and on and on that list goes. At these stressful moments, it is important to step back and remember the adage “slow and steady wins the race”. Your business wasn’t built overnight, and neither will your digital marketing be.

The key to effectively marketing your small business is knowing where to put your efforts first. Website design is one of the most important elements of that and is a great place to start. Once you have the basics of your web design ironed out, you can do more work here and there to complete your digital marketing strategies over time.

Not sure where to start? Our Nashville web designers offer six tips for getting started.

Contents

1 SEO Website Design Tips for Small Businesses
2 Put It All Together

SEO Website Design Tips for Small Businesses

1. Learn how Google Crawls Your Site

As you are building your website and planning for your future in digital marketing, it is important to understand how Google crawls your site. That means understanding what it is that Google looks for on websites when they rank them in search engine results. Google’s algorithms change routinely, but there are a few concepts that are always the same – such as SEO and website design.

When ranking websites, Google looks at factors like:

Utility and usability (user-friendliness, page load speed, graphics loading, etc.)
Content (quality long-form content)
Long-tail keywords
Related key terms
Backlinks
Internal linking strategy
Optimized media

2. Choose a Clean and Simple Layout

As you get started with website design, one of the best ways to start is by choosing a clean and simple website layout. You want users to be attracted to your site and engaged with it, but you don’t want it cluttered or distracting. Choose a design that speaks to your brand and mission. Choose a color scheme that matches your logo and branding. Make sure your font is easy to read. Use the same template style for all pages.

3. Make Sure Your Site Performs

Yes, Google crawls and ranks based on SEO, but they also crawl and rank based on performance. That means you should make sure your site is optimized for fast page load speed, mobile use, and image speed. If your site only works on a computer, you will lose an endless number of possible mobile users.

4. Use a Consistent Layout and Formatting

Web design is just one aspect of building your brand. You should make sure that your website layout and formatting is consistent with other marketing materials, such as social media. Being consistent helps you establish your brand and makes you easily recognizable to customers from various platforms.

5. Use Every SEO Opportunity

Search engines match up results with websites based on their optimization and relevance to the search term. That means you should use every SEO opportunity you have. That means including your keyword in the page title, meta description, and URL. If your page is titled “Best Dog Toys”, your meta description should include that phrase, and your URL should be something akin to www.yoursite.com/best-dog-toys.

6. Add Alternative Text on Your Images

Alternative text, or ALT text, is an SEO tactic that seems small but can have big results. When you add an image to your webpage, you will have an option to add ALT text or an ALT tag. You want to put your keyword in that box so that search engines know that your image also links to your keyword for the page. Your images are indexed just like content.

Put It All Together

As you can see, there are many aspects to web design. For a small business, one of the best things you can do is to make a plan for where you will start and what goals you want to accomplish here and there. By using these six tips as you build your website, you will have a solid foundation for your digital marketing that will last a long time. For the latest trends and challenges in SEO click: https://whitepeak.io/blog/seo-trends-challenges-2022/

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Ariana Smith

I enjoy writing and I write quality guest posts on topics of my interest and passion. I have been doing this since my college days. My special interests are in health, fitness, food and following the latest trends in these areas. I am an editor at Content Rally.

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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

The Benefits Of Custom Dirtbike Graphics

A dirt bike is an investment. The owner wants to protect this investment while making it their own. Customizable graphics kits provide an excellent way to ensure each bike reflects the personality of the rider. However, this is only one of several benefits of graphics kits. Find other benefits listed below. Checkout Five Crucial Benefits Of Custom Dirtbike Graphics: 1. Distinct Appearance Many people choose options from Senge Graphics because they don't want their bikes to look like the others. They want their bike to stand out in the crowd and be noticed. With many graphic packages to choose from, a person won't find it difficult to achieve this goal. The owner chooses the colors, patterns, and gradients. This means every rider can have a bike that is as unique as they are. When choosing these graphics, the rider must ensure those graphics are UV resistant. The decals only provide this visual appeal if they remain bright and glossy. Inexpensive graphics fade quickly and make the bike look old and neglected. Spend a little more to get quality graphics that last. 2. The Right Fit Another benefit of investing in quality graphics is they will be created to fit the specific make and model of the bike. The rider determines which parts of the bike they want to cover with graphics and purchases those pieces. This means they can cover any damage to the bike while leaving other parts exposed. Hide rust damage and scratches, knowing the decals will cover any marks with ease. This allows the bike to look new longer and present the right image. 3. An Affordable Option A person may wish to update the look of their bike without spending the money to have it painted. A graphics kit allows them to do so at an affordable price. One reason a person may choose to use graphics is they want to update their bike regularly. They don't want to have it in the shop being repainted, as this process takes time. Graphics can be applied in a matter of hours, making this ideal for people who like to feel as if they have a new bike every year or two. A new paint job requires multiple coats, and each coat must dry before the next one is applied. With graphics, a person applies them, allows them to cure, and begins riding again. 4. No Commitment A rider might find they need to secure new sponsors. The partnership with current sponsors isn't working out and they are ready to move on. However, the rider might hesitate to take this step because it means changing the graphics on their bike. Doing so is easy with the help of a custom graphics kit. They won't spend a lot of time and money updating the graphics when they make this move, which riders appreciate. It allows them to find partnerships that are beneficial for both parties. 5. Easy to Install Anyone who can read and follow directions will find they can apply dirtbike graphics. Preparation is key to a successful job, so make certain time and effort are put into this part of the process. The manufacturer includes instructions to follow, and the rider should review these instructions, as they do vary by the product. By following the specific instructions provided with the graphics kit, a rider finds the job is done right the first time. Look into custom graphics kits today. Many riders find they have ample kits to choose from for their dirt bike make and model. Customizable kits are also offered, so no rider has to do without. Learn more today to see which kit is right for your needs. Read Also: Purchasing a Road BikeAre You Thinking About Buying Quad Bike For Your Kid?8 Useful Tips to Help You Prepare For Your First Motorcycle Track Day

Why Prototype Design Is A Way To Make Your UX Design Perfect

You are now ready to launch a new product to the market- where do you begin? You must consider many factors before letting your customers try out your product. One of the crucial processes is known as prototyping. UX designers develop a model that will test its usability and evaluate its functionality – a functional app prototype. Many UX services offer are ready to help business owners and organizations develop prototypes. You need a professional UX team to work seamlessly, identify the product's gaps, and enhance user experience. As for app design costs, you can read more in Eleken’s article. If you want to launch any successful product, you need to employ the best UI and UX designers for the job. When it comes to interacting and engaging with tech products, user experience and interaction is a top pre-requisite. By working with the professional UX design agencies in San Francisco, you will be able to create better, more efficient, and productive products that are loved by your customers whether you operate in the B2B or the B2C niche. Besides enhancing product quality, prototyping mitigates the risks involved in web development. Therefore, creating a prototype is a crucial step in product development. It is a process that brings the design concepts to life. This article examines the importance of prototypes to show why you need to create one for your web product. What Is a Prototype? During web development, the UX team creates a model of the product. This mockup replicating user interaction is known as a prototype. It is a design phase that shows how the product will function from the entry point to the various sections. This layout helps the client to understand the design direction and the overall approach. The primary purpose of creating this mockup is to gather feedback and improve on the design flaws. However, the reasons might vary for many designers, depending on the project goals and business needs. You can use different design programs to create the mockups, such as Adobe XD, Sketch, Figma, and Webflow, among many others. But how do you know how to rate the quality of a prototype? An effective prototype has an appealing representation, accurate details, and interactive features. It is important to note that prototypes are not final; it undergoes continuous improvements depending on the user feedback. Why Prototyping is Important Since you now know what a prototype entails, let us explore why it is an essential process in user experience design. 1. Better Outreach to Clients The web development industry is quite competitive since many companies and large organizations want different web products. Thus, you can use a prototype to convince clients that your development team is up to the task and can deliver impressive products. Talk is cheap, and most clients will go for an agency with a realistic mockup of what they want. Your web design firm has a higher chance of landing a client if you develop a detailed prototype. This will show your commitment level and preparedness to accomplish the project. Besides, it is a fun process that brings out your creative side compared to written documentation. Therefore, develop a flawless prototype and land that huge product development contract to gain a competitive edge. 2. Accurate Feedback Developing a prototype is important since it saves you a lot of frustration in changing a product. Sometimes a client might come with different expectations after you have completed the development phase. These changes will consume time and resources that you could have avoided if you had a detailed mockup. Thus, it is advisable to have a prototype that displays the final product. It will help you gather accurate feedback and additional requirements from your client. They will have a better understanding of the final product. 3. Enhanced Design Process Creativity does not happen once; you have to change the first design until it suits your product objectives. Developing a prototype ensures you achieve the desired results. Prototyping does not need much time and money; thus, you can change it many times until you are satisfied. This iterative process will help you improve the model and create stellar products. 4. Better Project Planning Most design teams often focus on short-term goals to complete the tasks. This approach might be detrimental to the entire project because they do not plan it accurately from the beginning to the end. But developing a prototype solves this problem. You can plan your projects better since you have a precise idea of what you want and can accurately calculate the resources required for completion. 5. Client Satisfaction The product development process is transparent; the customer gives the product requirements, and the team does the work. After completion, the client checks the work and makes corrections or closes the project if they're satisfied. However, this model does not involve the client 100%, and there will be many communication gaps. Prototypes work much better as they encourage client interaction and allow room for communication. You can follow the progress and give intermediate feedback to avoid costly errors and revisions afterward. 6. Less Frequent Modifications Completing projects without prototyping might seem fast. Still, making any changes to an already finished product is expensive and frustrating, especially with a team of freelancers. It usually has negative consequences. Therefore, take time to create a mockup and engage the client for feedback before proceeding to the development phase. You can easily alter a prototype compared to a finished product. Thus, avoid these modifications by presenting a detailed prototype and confirming every essential aspect of dev work before it gets done. 7. Better Work Morale Many people love to procrastinate when a project arises. The team might postpone starting projects even at design agencies, especially if they don't understand the product and client's needs. But with a prototype in place, the team will be motivated to start the design process right away, as they have a set of workable tasks and milestones. 8. Stellar Final Product When the client gets a prototype, they provide feedback on improvements. This is an effective approach to making the web product better with every iteration. With ongoing changes and revisions of the product design, the team and the client better grasp the progress. They can continually revisit the initial specifications and make adjustments to stay on track with the original business idea. Even large-scale changes surfacing underway can be implemented quicker and cheaper at the prototyping stage compared to the final product's revision. Final Word The design phase is not complete without a prototype. Develop accurate prototypes if you want to create a top-tier product with an exceptional user experience. Thus, prototyping is a win-win situation, as your client will know what to expect from the final product, and the team will simplify the development process. Read Also: Guide to Hiring a WordPress Developer 7 Advantages of Using Website Design Templates Bootstrap Templates and Allied Tools to Make Your Web Presence Easy and Instant

SEO Website Design Tips for Small Businesses