Part 4 Website Analysis Methods
1. 5 common methods of website analysis
(1) Subdivision drill-down analysis method
The principle is to gradually find the problem part by decomposing the aggregated data in multiple dimensions. The main purpose of segmentation is to analyze summary and average data, find problems and improve them.
(2) Comparative analysis method
Compare two interrelated indicator data to quantitatively display and explain the size of the research object, its level, and the speed of delivery. There are usually three methods of comparison: year-on-year, month-on-month and fixed-base ratios.
(3) Cluster analysis method
Analyze website branding and user behavior from a higher perspective. It is common to cluster a website's pages, features, and user behaviors and attributes. The most common function of cluster analysis is the trouble caused by "?" in the URL.
(4) Qualitative and quantitative analysis method
Volume is an absolute value, used to measure the number of things, such as how many people come to the website, how many times they visit, how many pages are viewed, and how many orders are generated. These absolute value data can be classified as website volume indicators.
Quality is a ratio used to measure effectiveness. For example, bounce rate, conversion rate, average dwell time, number of pages viewed per visit, average order value, these ratios can all be classified as quality indicators of the website.
Traffic, website pages and visitor behavior can be effectively analyzed through two dimensions: quality and quantity.
(5) Conversion and funnel analysis method
An opportunity converts when a visitor achieves a "specific action or goal." There are three types of goals: Site Goal, Time on Site goal, and Pages/Visit goal. The process of conversion is the funnel.
Conversion and funnel analysis are mainly used to measure the efficiency of the entire conversion path and the effect of each page in the conversion process. The most common scenario on the website is the analysis of the registration process and shopping cart process.
2. Indicators and latitude
(1)Indicators
It can be measured numerically, such as the number of daily visitors, page views, conversions, bounce rate, etc.
(2) Latitude
Latitude is the attribute of the indicator, such as city, browser, time, page name browsed, product category purchased, etc.