Web Analytics Strategy: From Data Collection to Action

Oct 1, 2025

Are you worried that the number of accesses to your website is increasing, but it's not leading to results?

Creating a website is not the end. By analyzing access data and user behavior, and repeating improvements, you can finally realize its true value. In other words, understanding and practicing website analysis methods is essential for business success.

This article comprehensively explains everything about website analysis, from the basics to the latest methods using AI, and includes success stories. It is packed with practical techniques that lead to CVR improvement, as well as useful information for small businesses and freelance web designers. Be sure to grasp strategies for successful data-driven management through this article.

Keys to Success in Website Analysis

Three Common Pitfalls in Website Analysis and How to Avoid Them

Website analysis is essential for business success, but if you proceed with analysis without using appropriate methods, you may draw incorrect conclusions and implement ineffective measures. Here, we explain three common pitfalls in website analysis and how to avoid them.

Pitfall	Avoidance Strategy
Fragmented Data Analysis Focusing only on individual metrics like access numbers and conversion rates without grasping the overall picture and drawing conclusions.	Integrated Perspective Comprehensively analyze multiple metrics like access numbers, stay time, bounce rates, and conversion rates to understand the overall user behavior. Utilizing tools like Google Analytics for data visualization can make it easier to grasp the overall picture.
Unclear Goal Setting and Metric Selection Mistakes Analyzing without a clear purpose for the website or proceeding with analysis without selecting appropriate metrics that lead to goal achievement.	Clear Goal Setting and KPI Definition Clarify the purpose of the website and set KPIs (Key Performance Indicators) that align with that purpose. For example, if the goal is to increase sales, set conversion rates and average order values as KPIs. By setting specific target figures, interpreting the analysis results becomes easier.
Lack of Interpretation of Analysis Results and Absence of Appropriate Measure Implementation Only viewing the analysis results as numbers and executing ineffective measures without deeply considering the background and causes of user behavior.	Hypothesis Testing and Continuous Improvement Based on insights gained from analysis results, formulate specific hypotheses and verify them through experiments such as A/B testing. Continue implementing measures that show results and improve or discontinue ineffective measures. It is crucial to repeatedly improve the website based on a data-driven PDCA cycle.

By avoiding these pitfalls, you can conduct more accurate and effective website analysis and achieve your business goals.

Achieving a 2x CVR with Data-Driven Website Improvements! 5 Success Stories

We present five success stories that dramatically improved conversion rates (CVR) based on website analysis results. From these cases, you can gain insights into effective website improvement.