The Stages of Website Optimization

website-optimizationThere are so many businesses launching every moment and new technology kicking in that it becomes almost impossible to reach the target audience with a lousy website. With the competition rising in the digital world at a rapid rate, it is important to keep your website updated.

According to an article in crazyegg.com, worldwide e-commerce revenue is projected to reach 4.88 trillion US dollars in 2021. Therefore, it should be your goal to augment your portion as much as possible.  That’s where website optimization comes in handy. It is the process to improve the performance of your website by implementing various ways. There are so many factors that can help you have a first-class website starting from on-page SEO factors to conversion rate optimization.

Here is an infographic designed by gathering as much information possible from the internet that will help you build an awesome website:-

  • Review & Research:-

    The first and foremost thing that you should do is research. It may be a lot to take at first but don’t try to do everything at once.  Doing research will help you analyze and identify the areas you need to improve. Start by researching your competitor’s website and see what they are implementing. This will help you get some reference.

  • Plan of Action:-

    Start making and planning strategies after you are done with your research work. Create a list of experiments and decide on your plan of action. If you are a beginner, start by focusing on Meta tags like page titles, URLs, and Meta descriptions. Map out your entire site and use the keyword research you compiled from step one. If you are done with the basics, take it one step further and pay attention to the loading time of your page.

    According to a study in Akamai, it was found that about half of the web users expect a site to load in 2 seconds or less. If it does not load within three seconds, visitors leave the site. ” After carefully judging the situation it was decided that the user’s experience is very critical and Google also announced that the loading speed of a page was an important ranking factor for mobile.

    Execution:-

    Now, begins the actual thing. You need to execute your strategies. Note your stats which include starting data or metrics then set goals, and determine the final observation. Run the experiments for about 2-5 weeks and gather the final data.

  • Tracking Result:-

    Now, it is time to make a decision. Based on your target and goals, the experiment that you ran, was it a success? If yes, then great and if the answer is no, it is okay. Try running other experiments and implement the lessons you learned. If you run the experiment just for a particular page or portion of your site, apply that strategy somewhere else too. For example, if a template on your landing page increasing your conversion rate, use that in other parts as well. Now if the test is a success, apply it to all landing pages and keep tracking results!

  • Reuse the  Fruitful Process:-

    Now, it is time to use the fruitful process and take notes of your learning from the experiment. After that, use another strategy but only run one experiment at a time. Do not overlap it.

Website Optimization Lifecycle:-

You should learn from your mistakes and reconstruct on your accomplishment. It will help you to create designs that will reach your target audience by using customer data to fuel continuous growth on the website.

Review & Research:-

The research stage should be your guide on how to make each change on your website. This should be the main stage in every experiment. You should always return to this stage and make use of the data you collected.

  • Have enough knowledge about your niche:-

    Do plenty of research on your competitors and how they are marketing their products. Your aim is to find out gaps and opportunity that you can use for your company.

  • Investigate your customer division:-

    Don’t ignore the problem on your websites instead of addressing them. This way you will be able to convert visitors into customers. Do not assume anything; this is your opportunity to fix things.

Plan of Action:-

Come up with different experiments after every research based on your findings. This will bring you to an even stronger position.

  • Use your competitor research:-

    Take advantage of the gaps where your competitors are falling short. Now, use that and position your company smartly.

  • Target the audience:-

    Once you have analyzed and researched the faults on your website, work on improving them and reach the target audience.

Execution:-

Success metrics will help you monitor and analyze how much data and stats you need for the final result. This way, you’ll know if your tests are making an impact and you’ll know what your time frame is for gathering results.

  • Set goals:-

    Set a central goal and then break that goal into smaller pieces to help you sift out useful data from what can seem like an overwhelming number of factors.

  • Pick an end date:-

    The best way to determine the length of time that is ideal for your business and your customers is to start with the industry norm of 2-4 weeks and then customize from there.

Tracking Result:-

Not all experiments will end in success, and that’s okay! Website optimization is a learning process that helps you get better with each new experiment. The key takeaway is to learn what works and what doesn’t so you can build on your experience and keep improving your website over time

  • Identify the inferior method:-

    Did your experiment yield any positive results? If you run the experiment just for a particular page or portion of your site, apply that strategy somewhere else too.

  • Find opportunities:-

    Analyze the factors on your audience’s surfing that have a direct impact on conversions. Concentrate on these areas for your next round of tests.

Reuse the  Fruitful Process:-

Now, it is time to use the fruitful process and take notes of your learning from the experiment. After that, use another strategy but only run one experiment at a time. Do not overlap it.