How to Visualize SEO Performance Metrics with Python and Matplotlib
1 min read
Summary
This piece discusses the significance of visualising SEO performance metrics in order to enhance organic traffic and search engine rankings.
It argues that utilising Python and Matplotlib to visualise SEO data offers a high level of customisation, allowing for the scheduling of scripts to update charts whenever new data becomes available, and the integration of various data sources.
The article presents a step-by-step guide to visualising SEO metrics using Python, outlining how to import the necessary libraries, prepare the SEO data, plot organic traffic over time, and visualise CTR alongside average keyword position, highlighting correlational trends between the two.
It also provides some best practice tips for effective SEO visualisation, emphasising the importance of clear labelling, the use of consistent colour schemes, and the incorporation of interactivity into charts.
Finally, it stresses the cost-effectiveness of using open-source tools such as Python and Matplotlib as opposed to expensive SEO analytics platforms.