Jun 27, 2022
In Agriculture Forum
Have you experienced SEO results in a way that rings true with the causal Banner Design statement made? Your experience is just as valid as that of others. If you've seen the opposite happen - for example, deleting unnecessary JPEGs from a page resulted in an increase in your page's ranking - then that's reason enough to investigate further. Identify other factors With the example given above, there may be other reasons why adding JPEGs to a page correlates with an Banner Design increase in SERP ranking for a page. Advertising Continue reading below For example, maybe the images included alt attributes and that was actually what made the difference in ranking. Perhaps images were part of a page redesign and other things like unique copy were also introduced at the same time. It is also difficult with studies conducted by third parties to know the true methodology. Perhaps there were other variables at play that Banner Design the researchers did not take into account. This alone could call into question the validity of the experiment. What is the sample size? When performing statistical experiments, a researcher will look for results that have reached statistical significance. In other words, an assurance that Banner Design the relationship between X and Y did not happen by chance. In order to achieve a reliable level of statistical significance, your sample size must be large enough. If your sample size is not large enough, your experiment may be subject to sampling error. A correlation can emerge that simply wouldn't be there Banner Design in a larger sample size. Advertising Continue reading below In our example, what if only three websites were used in the study of how JPEGs affect rankings. If two of them saw their rankings increase when adding JPEGs to a page and one of them did not, you might conclude that JPEGs have a positive effect on rankings. . However, what if you added seven more websites to your study and each of those did not Banner Design show an increase in rankings when JPEGs were added to the page. This would bring the result to two which showed rank increases and eight which did not. What would happen to the results with 10 other websites? Three is simply too small a sample size to make claims on all search engine index websites. How varied is the Banner Design sample? Likewise, if your sample is not a sufficiently diverse representation of the data set, you risk sampling errors. For example, what if the websites chosen for our hypothetical study were all e-commerce sites. Advertising Continue reading below Would this be a reliable enough experiment to apply these results to news-only sites? Could they be applied to YMYL sites?