Many people who run a website have certain numerical goals in mind.
With access analysis, you can view data such as monthly page views and conversions, allowing you to see how well your goals are being achieved.
This is called " monitoring ."
Monitoring is a iran cell phone number list necessary phase in website management as it allows you to check progress towards your goals.
Using an access analysis tool makes it possible to visualize the user profile .
Google Analytics allows you to check attributes such as gender, age, and region.
You can also check the device, browser, and network used to access the site.
Knowing this data will give you a clear picture of where you need to improve.
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Are you familiar with the business term "persona marketing"? When considering a marketing strategy, a fictional character who uses your company's products or services is referred to as a "persona." There are probably many people who want to get started with persona marketing or want to easily learn about it.
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User behavior analysis
Many people in charge are concerned that although they are able to attract visitors to their website, the CVR is low.
The root cause of these problems is a lack of understanding of " what actions users are taking ."
If your access analysis shows that many users are visiting your site but are leaving before they reach the conversion point, you can determine that this is an area that needs improvement.
If you do not perform access analysis, your page views may increase while your CVR continues to decline.
Preparation before performing access analysis
Now let's actually start analyzing your website. Before we begin, there are a few things you need to do to prepare.
Decide on the final goal (KGI)
Decide on intermediate goals (KPIs)
Clarify the purpose of your website
Check the access analysis terms
Creating an environment for hypothesis testing
Decide on the final goal (KGI)
First, before performing access analysis, determine the KGI of your website.
Let's clarify what kind of results we want to get by operating a website on Google . The thing to be careful of here is to "use specific numbers."
Get ~~ conversions per month
Increase annual repeat customer rate by ~~%
Increase average customer spending by ~~ yen
There is little point in analyzing access without numbers. KGI is often used as a reference when analyzing access.
Decide on intermediate goals (KPIs)
Once the KGI has been decided, the KPIs will be determined.
It is necessary to break down what measures are needed to achieve the KGI and create KPIs to check the degree of achievement at each stage .
Rather than trying to achieve KGI all at once, you can get closer to KGI by stepping on KPIs at regular intervals. Access analysis is also checked by stepping on KPIs, so KPIs are essential.
Clarify the purpose of your website
It is very important to clarify the purpose of your website .
If you can't answer the question, "Why do you run this website?" then your purpose isn't clear.
If you can answer "Because...", then the purpose is clear and it's OK to continue using it as is.
Although it is not the most important item in access analysis, please clarify your purpose for future reference.
Check the access analysis terms
When performing access analysis, various technical terms will be displayed. It is important to understand these terms in advance .
As an example, we will introduce some frequently used words when analyzing access.
PV: Page views. The number of times a user visited a page during a period.
Sessions: The number of times a user visited your website.
UU: Unique users. The number of users who visited a website during a period.
Bounce Rate: The number of times a user viewed a page during a period of time.
Exit rate: The number of users who leave your website
Bounce rate: The number of users who leave after viewing only the first page they visit.
CVR: Conversion rate. The percentage of users who visit a website who convert.
Be sure to keep these analytics-related terms in mind.
Creating an environment for hypothesis testing
Finally, create an environment for hypothesis testing .
For example, "double measurement by Google Analytics" may occur.
This is because multiple tracking codes are embedded, which can result in incorrect measurements, so please be sure to set it up properly to prevent this from happening. This is essential to getting accurate numbers.
Unless you verify your hypothesis, performing access analysis will not lead to any future improvements.