If you make improvements and re-analyze the weblog of the funnel from the main page to the detail page, you will be able to figure out whether the improvements you made were positive! Source: Google Analytics showing customers (2nd edition) / Author: Junyoung Moon / Published by Hanbit Media Co., Ltd. Analytics Funnel Above, I briefly explained how to identify funnel problems. In addition to this, there are many problems that can be identified through web log analysis. We can also see what time of day users flock to our site and what search terms they use to access it! Using this, we can take actions to attract customers, such as holding events tailored to our users or issuing surprise coupons to customers who come in with specific search terms. So what does the blog analytics funnel look like overall? Web log analysis process infographic Web log analysis process 1. Set a purpose Determine the purpose of your analysis.
Only when the purpose is clear can you decide which
Web logs to collect, how to analyze them, and how to take action. Shall we set the goal Spain WhatsApp Number Data of improving the subscription rate? – Purpose: Improve the subscription rate up to 40% – Collection: Collect the number of visitors to the registration page and registration completion page – Analysis: Calculate the subscription rate (number of visitors to the registration completion page / Number of visitors to the registration page) * 100 – Action: When the subscription rate is lower than 40% , Check and improve any inconveniences users are experiencing on the sign-up page Visual visitor behavior analysis tool 2. Collect data that suits your purpose Once the purpose is determined, we collect data that meets the purpose. Two things are needed to collect data. 1. Programming code for weblog collection 2. Webload database for storing collected data After writing programming code to collect the page address accessed by the user, the collected data is stored in the weblog database.
Act based on analysis results
Once analyzed, the actions set in the goal stage are executed. As set out above, check Romania phone data whether there are any. Difficulties users are experiencing on the sign-up page and improve them. Take actions to achieve a 40% sign-up rate, such as reducing the number of input items on . The sign-up page or inserting text that reminds subscribers of the benefits provided. 5. Repeat again! Even if you complete an action, the log analysis process is not completely finished! Repeat the purpose, collection, analysis, and action steps until you achieve a 40% sign-up rate. If you need data other than the number of accessed pages and users, you can plan to establish additional data or plan other actions other than improving the sign-up page. Up to this point, we have learned about web log analysis! To collect weblogs, you need to know how to write programming code and SQL code, and to analyze them, you need to know how to use Excel, R, Python, etc. But don’t worry.