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Guide to Google Analytics Data Interpretation

The interpretation of Analytics Data can be a difficult task to perform, especially for a platform like Google that is known to have deeply planted roots in the Digital world. Generally, the interpretation of Data Analytics is carried out by an analyst who is hired to study the reports and formulate a conclusion for the companies in the form of data. While Google is a vast platform with over a hundred different categories, sometimes the interpretation gets a wee bit harder in the hands of an analyst. The importance of Data Analytics is evident in the events when a deal is to be made between the companies. This requires the submission of an accurate data set to the companies to motivate their decisions.
The following infographic focuses on all the right and wrongs of Data Analytics as many times, analysts either fail to address the most significant issues or do not know the procedure to do so, resulting in poor reports and interpretation. Scaling between high and low metric, the infographic puts the interpretation of data analytics in two categories to provide a better overview of how the Google Analytics structure works. From Advertising to Bounce Rate, Average Session Duration, Pages per Session, Page Views, Conversions, Conversion Rate, and Cost Per Conversion, this infographic describes the high and low metrics of each category of data.

To achieve better outcomes, it is imperative to know and your business and its future goals. Without having first0hand knowledge about your company and the stakeholders, it is impossible to move forward and juggle the risk. It is also important to note that since unlike any other platform, Google happens to be slightly difficult to understand when it comes to Data Analytics, it is also the best chance you have at knowing your website visitors and its indicators.

Guide to Google Analytics Data Interpretation
Infographic by: Lupagedigital.com

Share This Infographic On Your Site

Guide to Google Analytics Data Interpretation #infographic

Guide to Google Analytics Data Interpretation

The interpretation of Analytics Data can be a difficult task to perform, especially for a platform like Google that is known to have deeply planted roots in the Digital world. Generally, the interpretation of Data Analytics is carried out by an analyst who is hired to study the reports and formulate a conclusion for the companies in the form of data. While Google is a vast platform with over a hundred different categories, sometimes the interpretation gets a wee bit harder in the hands of an analyst. The importance of Data Analytics is evident in the events when a deal is to be made between the companies. This requires the submission of an accurate data set to the companies to motivate their decisions.
The following infographic focuses on all the right and wrongs of Data Analytics as many times, analysts either fail to address the most significant issues or do not know the procedure to do so, resulting in poor reports and interpretation. Scaling between high and low metric, the infographic puts the interpretation of data analytics in two categories to provide a better overview of how the Google Analytics structure works. From Advertising to Bounce Rate, Average Session Duration, Pages per Session, Page Views, Conversions, Conversion Rate, and Cost Per Conversion, this infographic describes the high and low metrics of each category of data.

To achieve better outcomes, it is imperative to know and your business and its future goals. Without having first0hand knowledge about your company and the stakeholders, it is impossible to move forward and juggle the risk. It is also important to note that since unlike any other platform, Google happens to be slightly difficult to understand when it comes to Data Analytics, it is also the best chance you have at knowing your website visitors and its indicators.

Guide to Google Analytics Data Interpretation
Infographic by: Lupagedigital.com

Share This Infographic On Your Site

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