Post by account_disabled on Feb 17, 2024 23:48:43 GMT -5
Web analytics is an excellent method to convert data and information into valuable content. Since, depending on what has been studied, work will be based on the behaviors obtained from the audiences, thus being able to achieve a higher level of loyalty. The objectives of web analytics So we already know how web analytics is defined in a certain way, and what it is looking for. However, this triggers a series of necessary characteristics that, at the same time, function as the key objectives of this type of methodology . For that reason, we are going to define what the objectives and characteristics are that are an essential part of each stage of analysis: 1.
Collection stage It is the initial stage of the analysis process. It entails the phone numbers data compilation of data and all the information that, being dispersed, seeks to be assembled into a group that has a criterion that identifies it. To exemplify this, imagine the following: Number of users who visit your website, and who also become customers by purchasing your product or service through advertising. That would be a set in which you could group all the users who meet these characteristics, making the analysis task much easier. Well, this is what this stage is about, identifying the data and then grouping it into its respective categories. 2. Measurement stage This is when the data obtained in the collection is used to be compared with another set of data and thus obtain a rate or percentage of something.
For example: Number of people who open your emails in an email marketing campaign, compared to those who do not. Or, when they open the email but at the same time fulfill the CTA function compared to those who do not. In short, it is placing each set of data obtained in a comparison with another set of data that is related, in order to obtain the levels of success or probability. 3. of the measurement, such as the conversion rate and percentage, or any other measurable value. This aspect is very important since you obtain the results that you will use as a database to check the level of success, which strategies work and which do not, if you have to change the formula or perspective, among many other important aspects.
Collection stage It is the initial stage of the analysis process. It entails the phone numbers data compilation of data and all the information that, being dispersed, seeks to be assembled into a group that has a criterion that identifies it. To exemplify this, imagine the following: Number of users who visit your website, and who also become customers by purchasing your product or service through advertising. That would be a set in which you could group all the users who meet these characteristics, making the analysis task much easier. Well, this is what this stage is about, identifying the data and then grouping it into its respective categories. 2. Measurement stage This is when the data obtained in the collection is used to be compared with another set of data and thus obtain a rate or percentage of something.
For example: Number of people who open your emails in an email marketing campaign, compared to those who do not. Or, when they open the email but at the same time fulfill the CTA function compared to those who do not. In short, it is placing each set of data obtained in a comparison with another set of data that is related, in order to obtain the levels of success or probability. 3. of the measurement, such as the conversion rate and percentage, or any other measurable value. This aspect is very important since you obtain the results that you will use as a database to check the level of success, which strategies work and which do not, if you have to change the formula or perspective, among many other important aspects.