MongoDB vs PostgreSQL: 15 critical differences

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Key differences between Google Search Console and Google Analytics
At this point, you already understand the background, similarities, and basic use cases of Google Search Console and Google Analytics . With these things in mind, let’s dive into a comparison of the differences between the two tools .

1. Data/Measurements
The first important point of comparison is the data that each platform collects for you.

Google Analytics tracks dozens of metrics, though most people only use a small handful. The most notable metrics are:

Bounce Rate: Your bounce rate is the percentage of visitorsgreece whatsapp number data who “bounce” off your website without clicking through to another page.
Unique Pageviews: Google Analytics defines a typical pageview as any pageview on your site. A unique pageview is the number of pageviews minus all views from people who visited the page multiple times in one session (for example, by reloading the page).
Average session duration : This is the average amount of time visitors have viewed your content. Google Analytics calculates this figure by dividing the number of sessions by the total duration of all sessions in seconds.
Conversions : Google Analytics defines a “ conversion ” as anything that is “important to the success of your business.” This includes macro conversions, like purchasing something, and micro conversions, like signing up for your email marketing list.
Audience demographics: Google Analytics classifies users by age, gender, affinity categories, market segments, and other categories. Here's how Google Analytics defines each of them:
A chart showing how Google Analytics classifies people
How does Google Analytics classify people?
The metrics that Google Search Console tracks are more related to your website than to your audience. The most notable metrics and measurements are:

Impressions. The number of people who saw your link on Google.
Clicks: The number of people who clicked on your link .