Q: What is Google Analytics (GA)? 
A: Google Analytics (GA) is a data analysis tool provided by Google, which can be used to analyze the data status of websites or apps (but it is still mostly used in website data analysis), and it is also the most popular data analysis software in the world. And since the proportion of people who use the Google search engine is nearly over 80%, indirectly everyone has a high degree of trust in the accuracy of GA's data.
(source: https://www.awoo.com.tw/blog/2018/06/google-analytics/)

Q: How do users use data analysis report of website?
A: This report page is made by combining Google Analytics (GA) and CRM customer data in the CRM system. The purpose is to collect statistics on customers' browsing behaviors on the Internet, and combine it with the internal data of the CRM system for cross-analysis.


Q: What is the difference between just GA and GA connected with CRM data?
A: The data on GA records the browsing records of all visitors and makes a summary statistical chart. However, after being connected with the data in the CRM system, users can see the browsing behavior of individual visitors and provide more accurate marketing strategies for different visitors.

Q: How do users use the analysis report of website data, RF-Pageviews?
A:
RFP Definition
R: Number of days since the recent visit
F: Visit frequency (work sessions)
P: Number of pages in a single work session (pages/sessions)
The report not only combines Google Analytics (GA) with the customer information of CRM system but also classify the visitors by calculating and clustering according to the above three indicators. This way, sales can follow-up based on the grouped result and make accurate marketing strategy implementation.

Q: How does this report help?
A: After identifying the groups, the next step is to identify which groups are most likely purchase the products (target groups). It is necessary to focus on the most important and most likely to buy groups and take good advantage of market segmentation. For the different groups, provide different follow-up marketing strategies to create the best value exchange. In addition, it can also understand which products each customer needs from the different browsing behaviors, and provide a customized purchase list.