Thanks to web analytics which give you the reports, schemes, and analytics about how visitors of your website behave, we can easily classify and categorize the users depending on their age, gender, location, behavior, habit etc.; or for instance how they landed on your site. Also, you can see the most popular content on your website; your conversions; and so on. With this information, you can plan your strategies for business easily and make it grow faster.
How It’s Done & Why It’s Important?
Customer Journey Map
In web analytics, a customer journey map is a visual representation of every experience your visitors have via your website. It helps you see how and where the visitors interact with and understand their needs and interest in order to organize and plan your work. With this map, you can make your website more effective and interesting for your visitors and close the gaps between the experience you wanted and the experience received by the visitor.
We can say that one of the main goals of web analytics is to gain access to the user experience. With the data acquired via analytics, we can aim for specific conclusions.
That data contains lots of info about the visitors of your website, such as their age, their location, their interests, or simply the way they use your website.
With this information, you can simply see who your visitors are and their interests, and when you see what they’re looking for, you can deliver it.
Quantitive vs. Qualitative Research
In analytics, there are two main types of research: quantitive and qualitative research. The main differences between these two lines in the data, of course; consist of the data sample, data analysis or the outcomes.
Quantification of data helps us to generalize results from a sample to an entire population of interest and the measurement of the incidence of various views and opinions in a given sample. But the main interest in qualitative research is to understand underlying reasons and motivations. This provides insights into the setting of a problem.
After all, here is a small list of questions which can be answered via web analytics:
- What are the users doing on your website?
- Which words are searched the most?
- Are there any anomalies in the technology segments?
- What are the differences between the new and present users?
- Anomalies based on demography
- How many of the visitors are members of your website?
- In which pages the users clicked “help” the most?