Whether you work in SEO or transition to SEO data analysis, you can achieve excellent results in your respective niche as long as you have solid professional skills.

 

From practical experience, SEO and data analysis are closely integrated. SEO is a process — a dynamic process of improving keyword rankings through optimization methods. Data analysis is about results: it reviews the effectiveness of SEO work, identifies shortcomings, and guides improvements. **Data-driven SEO is scientific SEO.**

 

Some practitioners, after learning development techniques, focus solely on ranking one or several keywords for a website. However, if a competitor’s website has massive data, manual work alone is insufficient. Without analyzing such data through data analysis, the final result is: you can never surpass your competitor, or it takes an extremely long time to do so. Take the SEO Tutorial Self-Study Website (https://en.shmitong.com) as an example. It has a large volume of external link data. Surpassing it manually is highly unlikely.

 

Other SEO specialists notice their website is indexed but not ranking, and feel frustrated. Yet they fail to analyze the proportion of invalid indexation and related metrics — this is exactly the cause of their problem.

 

Remember: SEO and data analysis are inseparable and closely linked!

 

1. What is data analysis?

 

Data analysis is the process of collecting a large amount of data, analyzing it using appropriate statistical methods, extracting useful information, forming conclusions, and summarizing the data in detail. This process also supports the quality management system. In practice, data analysis helps people make judgments and take appropriate actions.

 

From an SEO perspective, website data — such as indexation volume, keyword ranking positions and quantity, bounce rate, etc. — can guide the website’s optimization strategy for the next period.

 

2. Basic steps of data analysis?

 

There are generally four steps: **collect data → organize data → analyze data → draw conclusions**. Results-oriented data analysis provides clear direction for website optimization.

 

3. Dimensions of data analysis for SEO optimization.

 

Core SEO data analysis includes (but is not limited to):
– Whether keyword rankings are in ideal positions
– Overall website bounce rate
– Which sections or pages users prefer to click
– Indexation volume trends
– Valid indexation ratio
– Number of 404 pages
– Overall final conversion rate

Using Baidu Statistics and Baidu Search Resource Platform, you can analyze large amounts of data and draw conclusions for a given period.

 

Website security data analysis.
When website data is poor, security settings may seem unimportant. Once data performance becomes strong, the site becomes vulnerable to malicious attacks. Therefore, website security data analysis is essential: typical areas include server and website vulnerability analysis, attack frequency, volume, and methods (DDoS, CC, etc.). Security data analysis guides more complete website protection.

---