What is the difference between clicks and visits in Google Analytics?

Clicks demonstrates the quantity of times any client taps on a promotion while visits shows the quantity of one of a kind sessions every visits make.

When a user will be used to your advertisements, as a green text line text lines, this adwords is a mouse click.

Access is each each files sent to the browser by the web server

Clicks                                                                                           Visits

It indicates the number of times user clicks                       It indicates the number of unique sessions
on your ad.                                                                      associated with each of the visitor.


An ad can be clicked several times by the same              A visit made by a unique visitor is recorded only
visitor which results in several clicks to be recorded.       only once in a single session.(Session is of 30               
                                                                                      minutes.)


Any user can visit a site by clicking on an ad and            Visits from adclicks and bookmarks if happens on
also visit it again by clicking any bookmark url.               different sessions can result in several visits from a                 
                                                                                     single click.

Google Adwords tracks clicks.                                       Google Analytics tracks visits.

Adwords filters out invalid clicks generated within           Analytics displays all data without any filtering.
the same session.

CTR (Click Through Rate) is the percentage of clicks on the website link. CTR is considered to be a relatively important metric in SEO, and of an ad campaign, such as a facebook ad for the advertiser's Page.
Google Analytics is the most powerful digital data statistic tool for webmasters. Google Analytics primarily analyzes the number of people who visit your site, categorizes and tracks the number of people by behavior, age, language, computer equipment, phone, keyword, etc.