Improving SEO Performance Using Python
Improving SEO performance is vital for increasing website visibility and attracting more organic traffic. Enhanced SEO leads to higher search engine rankings, which can drive more potential customers and boost overall business growth.
Search Engine Journal contributor Andreas Voniatis has published an article featuring useful tips on using Python to test SEO theories.
He says, “We will go through the steps required on how you would use Python to test your SEO theories.
Choose Rank Positions
One of the challenges of testing SEO theories is the large sample sizes required to make the test conclusions statistically valid.
Split tests – popularized by Will Critchlow of SearchPilot – favor traffic-based metrics such as clicks, which is fine if your company is enterprise-level or has copious traffic.
If your site doesn’t have that envious luxury, then traffic as an outcome metric is likely to be a relatively rare event, which means your experiments will take too long to run and test.
Instead, consider rank positions. Quite often, for small- to mid-size companies looking to grow, their pages will often rank for target keywords that don’t yet rank high enough to get traffic.”
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