Post by parvej64 on Nov 4, 2023 3:58:45 GMT
Earning money on a book blog is not difficult if you update the content on a regular basis, maintain its quality and maintain the interest of readers. mistakes in e-commerce analytics most often made by online entrepreneurs CubeGroup AUTHOR: CubeGroup PUBLISHED: May , CATEGORY: Analytics The most common analytics mistakes made by online entrepreneurs. You will be surprised, but many of them are obvious and easy to avoid. If you run a business on the Internet, you certainly know how important it is to analyze statistical data.
However, it must be remembered that when doing this, it is easy to make simple mistakes in analysis, which strongly affect the final conclusions. CONTENTS Quantity is not quality No year-to-year comparisons Ignoring context Misinterpretation of bounce photo retouching rate Focusing only on selected phrases Ignoring the competition Skipping multi-channel tracks Forgetting about the mobile channel No tagging No spam filtering No conclusions drawn Summary Quantity is not quality If you only examine quantitative data and ignore qualitative data, the interpretation of the results.
For example, a higher number of visits does not necessarily translate into higher quality. So pay attention to parameters such as the time users spend on the website or the number of subpages visited during a single visit (the latter factor may be misleading, as we will mention later). Similarly, it is worth taking into account conversions achieved thanks to a specific traffic source. Don't forget that both their number and value will matter. Sometimes it may turn out that smaller trades will be more important due to the total profit they generate. No year-to-year comparisons One common mistake in analytics is ignoring seasonality.
However, it must be remembered that when doing this, it is easy to make simple mistakes in analysis, which strongly affect the final conclusions. CONTENTS Quantity is not quality No year-to-year comparisons Ignoring context Misinterpretation of bounce photo retouching rate Focusing only on selected phrases Ignoring the competition Skipping multi-channel tracks Forgetting about the mobile channel No tagging No spam filtering No conclusions drawn Summary Quantity is not quality If you only examine quantitative data and ignore qualitative data, the interpretation of the results.
For example, a higher number of visits does not necessarily translate into higher quality. So pay attention to parameters such as the time users spend on the website or the number of subpages visited during a single visit (the latter factor may be misleading, as we will mention later). Similarly, it is worth taking into account conversions achieved thanks to a specific traffic source. Don't forget that both their number and value will matter. Sometimes it may turn out that smaller trades will be more important due to the total profit they generate. No year-to-year comparisons One common mistake in analytics is ignoring seasonality.