Key Elements in Data Analytics
Tracking the achievement of your site or campaign entails continuous analysis and adjustments. Always remember the key elements, and TAO. That’s because a number is only a number until you examine it. You need to interpret the values because the numbers tell how users interact with your digital campaign.
Whether it’s your mobile application, blog, or eCommerce site, interpreting numbers is essential. Check the trends and changes in the numbers to learn how you perform instead of focusing on one number. There are certain key elements to look at when performing data analytic.
Key Elements to Analyze
Remember these three aspects when checking the key elements in web analytics:
- Why are people checking your site? Analyzing behavior data is one of the key elements that predict the intent of the users or visitors.
- Are they completing the goals you intend them to perform? These key elements are the outcomes metrics. They show the number of visitors who performed the intended action on your site or app.
- What should you do to influence users to achieve the goal? Do you notice the patterns of their behavior? The answers to these inquiries are the key elements of user experience.
The behavior of web users is probably the most essential out of all the key elements. That’s because it tells a lot regarding their intent. You can look at the referral URLs and look for terms on the website. Doing so can mean a lot about visitors’ issues that they expect on your site. Take a look at some ways you can learn your guests’ intent.
- Look at the Density Analysis. Use a heatmap to check where the people are pointing on your site. You may see that there are “clumps” of clicks they land on. Many individuals might click on a specific page element that is not a link or button.
- Check the Segmentation. We’ll dive into this element later on. Segmentation is the selection of a sample of visitors to analyze according to a common characteristic. For instance, you may check only those guests from the USA. Or you may use only new visitors when analyzing. This method lets you determine if certain visitors behave a specific way.
- Behavior and Content Metrics. This method centers on analyzing information about user behaviors. That’s because it gives many insights into the value and engagement of visitors. You may also detect the pages that are the most famous on your site and which ones they leave from frequently. Other indicators for these key elements are the amount of pages they saw and the time spent on the site.
Internal search is one of the most overlooked key elements in this analysis. But it’s just as essential as the others. Even though we spend a lot of time analyzing and optimizing the external search, we also need to explore the internal inquiry. It helps you expose the threats and weaknesses to your site navigation and know how effective it is. Does it provide the necessary solutions to them? Are there gaps in inventory that your site can make use of?
One example of analyzing and optimizing internal search is considering the keywords users search for on a hotel site. External searches may include the name of the hotel and rates. Search may consist of the guidelines on pets, babysitting services, table mountain, and more on the website.
Use an analytics tool to check what keywords the users are looking for. It may include the pages they see post-searching, plus if they do a search again. But the most important of all key elements is whether the visitor converts or not.
No matter how many visits and searches you get, you still want people to perform that one action to raise your revenue. Conversion is the most essential out of all key elements. Analyzing the KPIs and goals determines the improvements you can make in your campaign.
You can look at the user’s intent to know if your site meets the users’ goals and if they are aligned with the plan. Then, you look at the user experience to understand how results can be influenced.
Here’s why the outcomes are of utmost importance. After doing a search, there might be 80 people who go on the home page. Then, only 40 visitors go from the page to the goal. Then only 20 visitors perform the next step. Out of 20, only three might make the purchase. Therefore, out of 80, only three were able to increase your revenue.
You should test and check the user behavior patterns to know which aspects influence the user experience. Learn why the users act a certain manner on your site to demonstrate that behavior can be impacted to improve outcomes.
Segmentation and Other Key Elements
Each site visitor is different. However, there are so many methods to characterize the groups of users. Doing so will allow you to analyze and optimize each group. The process of describing the users is called user segmentation. Here are some essential key elements in segmentation.
People who land on your site through typing, search engines, and those who come from an article have different behaviors. They have different click paths, conversion rates, and exit pages necessary key elements. Check out the page that these visitors visit on your site. Then, ask yourself if there’s something you need to attain to improve their experience.
Those who go to your site using different pages have different behaviors too. Check what you can do to affect the landing page. Which landing page’s key elements should you change to affect the outcomes?
Check the outcomes of technology on the user behavior. Your site might have a slow loading time if low-bandwidth users have a high bounce rate. Open source technology visitors may also have different expectations. So do users of varying browsers. Ask yourself what you should do and how they affect your visitors.
© Image credits to Tim Mossholder
Posted in data analytics