Post by parvej64 on Oct 23, 2023 13:42:52 GMT 10
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. Quantity is not quality No year-to-year comparisons Ignoring context Misinterpretation of bounce 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, this can significantly affect the interpretation of the results. For example, a higher number of visits does not necessarily translate into higher quality. So pay attention to photo retouching parameters such as the time users spend on the website or the number of subpages visited during a single visit, 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. When checking whether marketing activities are effective, it is easy to rely on the previous month. However, if in November you observe a decrease in traffic, for example in a store selling garden deckchairs, this does not necessarily mean a decrease in the quality of positioning activities. To check the actual state of affairs, it is worth comparing data from the current and previous years. Ignoring context Many people only look at site-wide averages.
If you only examine quantitative data and ignore qualitative data, this can significantly affect the interpretation of the results. For example, a higher number of visits does not necessarily translate into higher quality. So pay attention to photo retouching parameters such as the time users spend on the website or the number of subpages visited during a single visit, 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. When checking whether marketing activities are effective, it is easy to rely on the previous month. However, if in November you observe a decrease in traffic, for example in a store selling garden deckchairs, this does not necessarily mean a decrease in the quality of positioning activities. To check the actual state of affairs, it is worth comparing data from the current and previous years. Ignoring context Many people only look at site-wide averages.