User experience is an important part of generation, transformation and sales. The smallest distortion of UX armor will also cost repeated visitors and revenue, while the larger distortion may be defeated by competitors. Finding these problems and identifying new opportunities are complex, time-consuming and expensive, and a lot of testing and research are required in this process. But here, Google Analytics competes to provide intuitive insight into UX design improvements. Male (picture: Nielsen Norman Group) the importance of carrying out quantitative research on health level is obvious to 27% of enterprises. But the other 27% did little or no research before UX design projects. This provides an opportunity for enterprises to defeat their competitors through more sophisticated user experience models. The
Male (picture: Nielsen Norman Group) UX research methodology related analysis engines are very dependent in enterprises, and 67% of people use this method to provide customers with more strategic services. With direct data sets and intelligent insight, Google Analytics is popular in enterprises. Although the platform has many advanced functions built in, it can use the free version of analytics to perform powerful UX research. Let’s take a closer look at how to use the insights provided by Google Analytics to improve UX design for online business. The
How Google Analytics helps UX, user experience and transformation are closely related concepts. Successful enterprises understand that even the best digital marketing campaign will encounter difficulties in ensuring leadership and achieving goals if the performance of the UX model on the website is insufficient. Before implementing marketing activities, owners and marketing personnel should take some time to ask themselves a few simple questions. How useful is our website? Can visitors easily browse our pages? Can our website make it easy for visitors to contact us? How does the website help customers with our brand? By tracking specific key metrics, UX designers can learn from the user’s behavior, from the moment the user first visits the page to the moment the user registers a service or purchases a product. The
Although there is no unified measurement item to analyze UX design, Google Analytics is excellent in providing insight into website performance, which can help users optimize pages into better UX for sales and conversion. There are two key areas to focus on when improving UX design. First, user behavior makes what people actually do on the website possible. This information may help to identify potential problem areas in order to provide a better experience for traffic arriving at the site, so as to assign and adjust priorities. The
Secondly, the action process may help to chart the user’s journey from the moment of arrival to the moment of exit. This form of insight is ideal if there are problems with information visualization. The Google Analytics behavior report can identify the pages with the largest traffic and the paths that are usually moved. However, it can also help you point out other paths that can be better optimized. Audience insights provided by Google Analytics for potential customer websites can be the perfect tool for UX experts. Provide a comprehensive analysis of who the users are, and provide important insight into each user’s demographics, concerns, location, equipment used, time and frequency of participation or lateness. The
Male UX experts on Google Analytics
Just do it. The
So, how to overcome this limitation? Launch opportunity hit. This allows the user to accurately calculate the time sent on the page without recording other page views or events. You simply implement this code and send time hits to run at specific intervals on the site. After the implementation of (picture: Smash magazine), the click through rate will be displayed in the action > website speed > user time section of Google Analytics. It is very important to distinguish the session time between actual traffic and bad traffic. Platforms like finteza can help you make decisions. The tool identifies the quality of incoming traffic and specifies specific categories (e.g. \
