The ABCs of Google Analytics include Audience, Behavior and Conversions. These reports provide an overview of who your visitors are, what they do on your site, and what activities they complete.
Google Analytics collects the following information through the default implementation:Number of users.Session statistics.Approximate geolocation.Browser and device information.
Common hit types include page tracking hits, event tracking hits, and ecommerce hits. Each time the tracking code is triggered by a user's behavior (for example, user loads a page on a website or a screen in a mobile app), Analytics records that activity.
Like many web analytics tools, Google Analytics tracks basic pageviews and visit data such as device type, operating system, and browser type. In addition, you can track limited user-level properties (limited to 20 max), given that you've set up individual user tracking.
Metrics. These are quantitative analyses of a particular sort of data. Metrics such as average session lengths, website visits, web pages per session, and the average amount of time on site are all examples. Metrics are a unit of measurement that is used to evaluate measurements across several dimensions.
There are four basic types of goals you can create within Google Analytics: destination, event, duration, and pages per session. If you use Google Ads, you can also use Smart Goals to track qualified visitors to your site from a pay-per-click campaign.
Drive uses data to improve your experience
To improve Drive's performance and reliability, and to help with troubleshooting in case of issues while you use Drive, we collect performance data and crash analytics. We also save this info to help prevent abuse of our services and for analysis.
Google Analytics determines the location of visitors based on the IP address of their device. The physical location is retrieved from a database that maps IP addresses with locations. What is this This location method has been around for a while and is also used in the new version of GA.
It helps marketers understand the impact of their actions on customer behavior, satisfaction, and loyalty, as well as on business outcomes and revenue. However, not all marketing analytics are created equal. There are three main types of marketing analytics: descriptive, predictive, and prescriptive.
Before you start tracking events, it's important to understand how they're put together. Each event is made up of four components that you define. These are category, action, label, and value.
IP addresses are not available in your Google Analytics reports. So, while Google does collect IP addresses, Google doesn't provide that data to end users. The bottom line is you are not able to see IP addresses anywhere in your Google Analytics reports.
Possible sources include: “google” (the name of a search engine), “facebook.com” (the name of a referring site), “spring_newsletter” (the name of one of your newsletters), and “direct” (users that typed your URL directly into their browser, or who had bookmarked your site).
This type of analysis helps describe or summarize quantitative data by presenting statistics. For example, descriptive statistical analysis could show the distribution of sales across a group of employees and the average sales figure per employee.
Examples of goals include making a purchase (for an ecommerce site), completing a game level (for a mobile gaming app), or submitting a contact information form (for a marketing or lead generation site). Defining goals is a fundamental component of any digital analytics measurement plan.
In Google Analytics 4, there are three User metrics: Total Users, Active Users, and New Users. The metric is measured by the number of new unique user IDs that logged the first_open or first_visit event. Primary user metric in GA4: Number of distinct users who visited your website or application.
Information Google collects. We collect information to provide better services to all our users — from figuring out basic stuff like which language you speak, to more complex things like which ads you'll find most useful, the people who matter most to you online, or which YouTube videos you might like.
Google uses the information shared by sites and apps to deliver our services, maintain and improve them, develop new services, measure the effectiveness of advertising, protect against fraud and abuse, and personalize content and ads you see on Google and on our partners' sites and apps.
Google keeps track of every activity you perform on their apps, devices, and browsers while searching and using the internet. Whenever you watch a video, conduct a search, interact with ads or content, and make a purchase, Google collects and stores that information.
Google uses a variety of sources to collect data including satellite imagery, geological surveys, municipality maps, third-party surveys and of course, street view cars (5M+ miles covered). They have built proprietary technology to combine all these disparate data sources together to generate the most accurate maps.
At its core, marketing seeks to take a product or service, identify its ideal customers, and draw the customers' attention to the product or service available.
Four main types of data analyticsPredictive data analytics. Predictive analytics may be the most commonly used category of data analytics.Prescriptive data analytics.Diagnostic data analytics.Descriptive data analytics.
Out of the box, Google Analytics provides three metrics that are commonly used as gauges of engagement: Bounce Rate, Pages/Visit, and Avg. Visit Duration.
An event allows you to measure a specific interaction or occurrence on your website or app. For example, you can use an event to measure when someone loads a page, clicks a link, or completes a purchase, or to measure system behavior, such as when an app crashes or an impression is served.
Analytics can be applied to any area of a business including strategy, operations and sales. For example, operations analytics might look at product cost, quality control and the throughput of resources such as production lines.