SEO Service Provider Should Be Aware Of These Risks

Search engine optimization (SEO) is essential to create a strong online presence for your website. To achieve better search rankings, businesses must keep their SEO strategies on point. Since the search algorithms receive regular updates, website rankings also fluctuate from time to time. Hence, frequent changes in a website’s SEO become necessary to optimize its performance. However, some of these changes may degrade the website rankings for unknown reasons. 

An SEO service provider identifies the root cause of ranking fluctuations and formulates effective marketing strategies to improve rankings. Read how the following SEO risks can enhance website performance.

SEO Risks worth taking

As websites face intense competition to rank higher in online searches, it requires some bold decisions to edge ahead of their competitors. Since SEO is a critical ranking factor for any website, marketers must take some risky decisions to fast achieve better rankings. Below are some common risk factors that may or may not provide the desired results, but are still worth taking.

A/B Testing Meta Descriptions for Best Results

The right meta description can significantly improve the click-through-rates (CTRs) of a website with maximum user engagement. However, it is not easy to create the right description as it depends on website type, target keywords, and target customers. So, for the best results, an AB statistical analysis is necessary to check how different meta descriptions are affecting the page traffic.

AB testing provides insights into the performance of web pages and enables you to make the required changes. However, A/B testing of webpages is a complex process as Google cannot show the same page with two different descriptions simultaneously. So, to perform A/B testing on webpages, you will have to choose two statistically different pages. The results may vary depending upon the nature of the page, so it is better to avoid direct comparison. In such cases, analyze the performance against the control group and variation group. The control group is the unaltered version of meta descriptions of the testing web page. Likewise, the variation group is a different version of the meta description under testing.