In the diagram above, for each of the three indicators for pages A and B, which page's values should be evaluated?
At first glance, it would seem that Page A, with its longer "Average Page Visit Time," and Page B, with its lower "Bounce Rate" and "Exit Rate," are better.
However, in this case, the correct assessment namibia phone number material would be, "A judgment cannot be made based on this information alone."
This is because the "role" of Page A and the "role" of Page B are not included in the assumptions of the discussion.
What if page A was the "top page" of the site and page B was the "product list page"? In this case, too, the correct assessment would be "I can't decide which is better." I'm not being mean.
For example, if the top page is designed to transition to each page, it is not surprising that the "average time on page" is short. Also, LPs that have as few links as possible tend to have a high "bounce rate." In addition, it is quite natural that the "exit rate" is high on thank you pages after a product purchase.
As in these examples, it makes no sense to pit metrics from different pages with different roles against each other and argue which is better.
If you want to be a better manager, you need to be careful not to get confused by these kinds of hoaxes.
Next, we consider another case.
The figures for Period X and Period Y below are data for one consecutive month, and the products are from a page on business services. In addition, inquiries about services whose demand does not fluctuate significantly throughout the year are counted as conversions.
Page A is the "Home Page" and Page B is the "Inquiry Form" number.
Let's say that the main product is introduced on the top page.
