Google Analytics is a powerful tool that tracks and analyzes website traffic for informed marketing decisions.
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_gid
ID used to identify users for 24 hours after last activity
24 hours
_gat
Used to monitor number of Google Analytics server requests when using Google Tag Manager
1 minute
__utmb
Used to distinguish new sessions and visits. This cookie is set when the GA.js javascript library is loaded and there is no existing __utmb cookie. The cookie is updated every time data is sent to the Google Analytics server.
30 minutes after last activity
__utmc
Used only with old Urchin versions of Google Analytics and not with GA.js. Was used to distinguish between new sessions and visits at the end of a session.
End of session (browser)
__utmz
Contains information about the traffic source or campaign that directed user to the website. The cookie is set when the GA.js javascript is loaded and updated when data is sent to the Google Anaytics server
6 months after last activity
__utmv
Contains custom information set by the web developer via the _setCustomVar method in Google Analytics. This cookie is updated every time new data is sent to the Google Analytics server.
2 years after last activity
__utmx
Used to determine whether a user is included in an A / B or Multivariate test.
18 months
_ga
ID used to identify users
2 years
_gali
Used by Google Analytics to determine which links on a page are being clicked
30 seconds
_ga_
ID used to identify users
2 years
_gac_
Contains information related to marketing campaigns of the user. These are shared with Google AdWords / Google Ads when the Google Ads and Google Analytics accounts are linked together.
90 days
__utma
ID used to identify users and sessions
2 years after last activity
__utmt
Used to monitor number of Google Analytics server requests
10 minutes
Data quality – ScienceDirectData are used in the delivery of many products and services, and so data quality is an important component of customers’ perceptions of the quality of…
Data that is of high quality is precise, comprehensive, valid, distinct, timely, and appropriate for the use for which it was intended. Inaccurate analysis, bad decisions, and reputational harm can result from low-quality data.
The importance of data quality includes improved decision-making, reduced costs, enhanced customer satisfaction, increased operational efficiency, and improved competitive advantage. A good application is through implementing it within an organization. To guarantee the accuracy and dependability of their data, organizations ought to make investments in data quality management procedures.