What Is Google Analytics? A Beginner’s Guide to Website & Marketing Measurement

What Is Google Analytics? A Beginner’s Guide to Website & Marketing Measurement

When people visit your website, they generate a large amount of information.

For example:

• Where did they come from?

• Which pages did they visit?

• How long did they engage with the site?

• What device did they use?

• Did they complete an important action?

• Which marketing channel brought them to the website?

Without analytics, it can be difficult to answer these questions.

Google Analytics is a web analytics platform that helps businesses and website owners understand how users interact with their digital properties.

The current generation of Google Analytics is called Google Analytics 4 (GA4).

In this guide, you'll learn:

• What Google Analytics is

• What GA4 means

• How GA4 works

• Users, sessions and events

• Important metrics

• Traffic sources

• Conversions

• Reports

• Google Ads integration

• UTM parameters

• E-commerce measurement

• Common mistakes

• How beginners can start using analytics

What Is Google Analytics?

Google Analytics is a platform used to collect, organize and analyze information about interactions with websites and apps.

Businesses can use analytics to understand:

• Acquisition

• Engagement

• Conversions

• User journeys

• Campaign performance

• Content performance

• E-commerce activity

For example, imagine a website receives 10,000 visitors.

Analytics can help you understand where those visitors came from and what they did on the website.

What Is GA4?

GA4, or Google Analytics 4, is Google's current analytics property model.

One of the major differences from older versions of Google Analytics is its emphasis on an event-based data model.

Instead of thinking primarily in terms of pageviews and sessions, GA4 organizes user interactions as events.

For example:

• Page view

• Scroll

• Click

• Search

• Video interaction

• Form submission

• Purchase

This event-based approach allows websites and apps to measure a broader range of interactions.

How Does Google Analytics Work?

A simplified process looks like this:

User visits website

↓

Analytics measurement code collects eligible interaction data

↓

Data is processed

↓

Events and parameters are organized

↓

Reports and analysis become available

The exact implementation depends on the website, app and measurement configuration.

What Is an Event?

An event represents an interaction or occurrence that is measured.

Examples include:

• Page view

• Click

• Scroll

• Search

• Video start

• File download

• Form submission

• Purchase

Events can contain additional information called parameters.

For example, a purchase event might include information about:

• Product

• Price

• Currency

• Quantity

The exact event structure depends on the implementation.

Automatically Collected Events

GA4 can automatically collect certain events depending on the platform and configuration.

Examples can include certain page-view and session-related events.

Google also provides enhanced measurement capabilities that can automatically measure certain interactions when enabled and supported.

These can include interactions such as:

• Scrolls

• Outbound clicks

• Site search

• Video engagement

• File downloads

The exact availability depends on the implementation and settings.

Recommended Events

Some events are commonly recommended for particular types of businesses or user actions.

Examples can include:

• Sign-up

• Login

• Search

• Add to cart

• Begin checkout

• Purchase

Using consistent event naming can make analysis easier.

Custom Events

Businesses can also create custom events for interactions that aren't covered by existing recommended or automatically collected events.

For example, a website might want to measure:

"Download interview preparation PDF"

A custom event could be configured for that interaction.

Custom events should be designed carefully so that reporting remains understandable.

What Is a User?

A user represents an individual or device identity as interpreted by the analytics system.

User identification in analytics isn't necessarily equivalent to knowing the real-world identity of a person.

The exact user-counting methodology depends on the analytics configuration and reporting settings.

This distinction is important when interpreting analytics data.

What Is a Session?

A session represents a period of user activity on a website or app.

For example:

A person arrives on a website, views several pages and performs several interactions.

Those interactions can occur within a session.

Sessions are useful for understanding visits, but they shouldn't automatically be interpreted as individual people.

Users vs Sessions

Consider this simplified example:

One person visits your website three different times.

You could potentially see:

1 user

and:

3 sessions

The exact reported values depend on the measurement and identity configuration.

This is why users and sessions are different concepts.

Important Google Analytics Metrics

Some commonly used metrics include:

The exact definition of each metric matters when interpreting reports.

What Is Engagement Rate?

GA4 uses engaged sessions as an important concept.

A session can qualify as engaged when it meets criteria such as:

• Lasting more than 10 seconds

• Having a key event

• Having multiple page or screen views

The engagement rate is based on engaged sessions relative to total sessions.

For example:

1,000 sessions

600 engaged sessions

Engagement rate:

600 ÷ 1,000 × 100 = 60%

The precise reporting definition should always be considered when comparing data.

What Are Views?

A view represents a page or screen view recorded by Analytics.

For a website, this can correspond to a webpage being viewed.

For apps, screen views can be measured.

Views can help you understand which content receives attention.

What Are Conversions or Key Events?

Businesses usually care about certain actions more than others.

For example:

• Purchase

• Lead submission

• Registration

• Subscription

• Demo request

GA4 allows important events to be designated for reporting as key events.

These actions can then be analyzed separately from less important interactions.

Example

Imagine a website has these events:

• Page view

• Scroll

• Button click

• PDF download

• Contact form submission

The business may decide that:

Contact form submission

is a key business outcome.

It can then analyze how many users complete that action and which acquisition sources contribute to it.

Traffic Sources

One of the most useful things analytics can tell you is where users came from.

Common traffic sources include:

• Organic Search

• Paid Search

• Organic Social

• Paid Social

• Referral

• Email

• Direct

For example:

This can help marketers understand which channels are contributing to website traffic.

What Is Organic Search?

Organic Search refers to traffic arriving through unpaid search-engine results.

For example:

A person searches Google → clicks an organic result → visits your website.

SEO is one of the primary methods businesses use to increase organic search visibility.

What Is Paid Search?

Paid Search refers to traffic generated through paid search advertising.

For example:

A person searches for a product → sees a Google Ads result → clicks the advertisement → visits the website.

Paid search traffic can be connected to advertising platforms for deeper analysis.

What Is Referral Traffic?

Referral traffic occurs when a user reaches your website through a link from another website.

For example:

Website A → Link → GoBizly

A visitor who clicks that link may be recorded as referral traffic depending on the measurement configuration.

What Is Direct Traffic?

Direct traffic generally refers to visits where the analytics system cannot identify a referring source in the expected way or where the source is classified as direct.

Direct traffic shouldn't automatically be interpreted as someone manually typing the URL.

There can be multiple reasons why attribution information is unavailable.

What Are UTM Parameters?

UTM parameters are tags added to URLs to help identify marketing campaigns.

A URL might look like:

https://example.com/course?utm_source=linkedin&utm_medium=social&utm_campaign=career-guide

Common UTM parameters include:

• utm_source
  

• utm_medium
  

• utm_campaign
  

• utm_content
  

• utm_term
  

Why Are UTM Parameters Useful?

Imagine you share the same article on:

• 
  LinkedIn
  

• 
  Facebook
  

• 
  Email
  

You can use campaign parameters to distinguish traffic from each source.

For example:

LinkedIn

utm_source=linkedin

Facebook

utm_source=facebook

Email

utm_source=newsletter

This can make campaign analysis more useful.

Google Analytics and Google Ads

Google Analytics can be connected with Google Ads to provide a more connected view of advertising and website activity.

Depending on the setup, advertisers can analyze:

• 
  Campaign traffic
  

• 
  User behavior
  

• 
  Conversions
  

• 
  Revenue
  

• 
  Audiences
  

Integration can also support advertising workflows involving Analytics conversions and audiences.

The exact capabilities depend on the account configuration and current Google platform functionality.

Google Analytics and Search Console

Google Search Console focuses primarily on Google Search performance.

Analytics focuses on user activity on the website or app.

They answer different questions.

Search Console

Can help answer:

• 
  What queries brought impressions?
  

• 
  How many clicks came from Google Search?
  

• 
  Which pages appeared in Search?
  

• 
  What is the reported search position?
  

Analytics

Can help answer:

• 
  What did users do after arriving?
  

• 
  Which pages did they view?
  

• 
  Did they engage?
  

• 
  Did they complete important actions?
  

Using both can provide a more complete view of organic search performance.

E-commerce Measurement

Online stores can use analytics to measure shopping activity.

Depending on implementation, businesses can track events such as:

• 
  Product view
  

• 
  Add to cart
  

• 
  Begin checkout
  

• 
  Purchase
  

• 
  Refund
  

Purchase data can include information such as:

• 
  Product
  

• 
  Quantity
  

• 
  Revenue
  

• 
  Currency
  

• 
  Transaction ID
  

This allows businesses to analyze the customer journey from product discovery to purchase.

Example E-commerce Funnel

A simplified e-commerce funnel could be:

Product View

↓

Add to Cart

↓

Begin Checkout

↓

Purchase

Suppose:

10,000 people view a product.

2,000 add it to cart.

800 begin checkout.

500 purchase.

You can calculate conversion rates between these stages to identify potential areas for improvement.

Google Analytics Reports

GA4 provides different reporting and analysis capabilities.

Common areas include:

Reports

Useful for regularly monitoring acquisition, engagement, monetization and other information.

Explore

Provides more flexible analysis capabilities.

Advertising

Helps analyze advertising-related performance and attribution.

Admin

Used for configuration, data streams, events, key events, integrations and other settings.

The interface and available reports can change over time.

Acquisition Reports

Acquisition reports help answer:

How did users arrive at the website?

You might analyze:

• 
  Organic Search
  

• 
  Paid Search
  

• 
  Organic Social
  

• 
  Paid Social
  

• 
  Referral
  

• 
  Email
  

This is particularly useful for marketers.

Engagement Reports

Engagement reporting helps answer:

What did users do after arriving?

You can analyze:

• 
  Pages/screens
  

• 
  Events
  

• 
  Landing pages
  

• 
  Engagement
  

• 
  User interactions
  

Monetization Reports

For businesses with revenue-generating activities, monetization reporting can help analyze:

• 
  Purchases
  

• 
  Revenue
  

• 
  Products
  

• 
  E-commerce activity
  

How to Set Up Google Analytics

A simplified setup process looks like this:

Step 1 — Create a Google Analytics property

Create a GA4 property for the relevant website or app.

Step 2 — Create a data stream

For a website, configure a web data stream.

Step 3 — Add the measurement implementation

This can be done through the website's platform, Google Tag Manager or another supported method.

Step 4 — Verify data

Visit the website and check whether activity appears correctly.

Step 5 — Configure important events

Identify the actions that matter to the business.

Step 6 — Configure key events

Mark important business outcomes appropriately.

Step 7 — Connect relevant platforms

Where appropriate, connect:

• 
  Google Ads
  

• 
  Search Console
  

• 
  Other supported tools
  

Step 8 — Test

Verify that events and conversions are being recorded correctly.

Google Tag Manager vs Google Analytics

These tools are often confused.

Google Analytics

Used primarily for:

• 
  Collecting analytics data
  

• 
  Reporting
  

• 
  Analysis
  

• 
  Understanding user behavior
  

Google Tag Manager

Used to manage and deploy tags and tracking configurations.

For example, Tag Manager can help implement:

• 
  Analytics tags
  

• 
  Advertising tags
  

• 
  Conversion tracking
  

• 
  Other third-party tags
  

They can work together, but they serve different purposes.

Common Google Analytics Mistakes

1. Tracking everything without a plan

More data doesn't automatically mean better analysis.

Define the important business questions first.

2. Incorrect event implementation

If events are configured incorrectly, reports can become misleading.

3. Counting duplicate conversions

Poor implementation can sometimes result in the same action being recorded multiple times.

4. Ignoring attribution limitations

Analytics data is not a perfect representation of every user interaction.

Different systems can produce different numbers.

5. Comparing incompatible metrics

Make sure you're comparing equivalent:

• 
  Time periods
  

• 
  Dimensions
  

• 
  Metrics
  

• 
  Attribution settings
  

6. Focusing only on traffic

10,000 visitors aren't necessarily more valuable than 1,000 visitors if the smaller group produces significantly better business outcomes.

7. Not checking tracking after website changes

Website redesigns, tag changes and platform updates can affect measurement.

Tracking should be tested periodically.

How Marketers Use Google Analytics

A marketer might use Analytics to answer questions such as:

Question 1

Which channel brings the most users?

Check acquisition reporting.

Question 2

Which channel generates the most conversions?

Analyze acquisition alongside key events.

Question 3

Which pages attract users?

Analyze page and landing-page performance.

Question 4

Where do users drop off?

Compare important stages of the user journey.

Question 5

Which campaigns generate valuable traffic?

Use campaign parameters and advertising integrations.

A Practical Example

Imagine GoBizly publishes an article:

"How to Prepare for a Digital Marketing Interview"

The article receives visitors from:

• 
  Google Search
  

• 
  LinkedIn
  

• 
  Newsletter
  

• 
  Direct traffic
  

Analytics can help answer:

• 
  Which source brought users?
  

• 
  How engaged were they?
  

• 
  Did they read other articles?
  

• 
  Did they download a resource?
  

• 
  Did they subscribe to the newsletter?
  

This allows content decisions to be based on actual user behavior rather than assumptions.

A Simple Analytics Framework

When analyzing a website, use this sequence:

Acquisition

Where did users come from?

↓

Engagement

What did they do?

↓

Conversion

Did they complete the desired action?

↓

Value

Did that action contribute meaningful business value?

↓

Optimization

What should be improved?

This is more useful than looking at traffic numbers in isolation.

Frequently Asked Questions

Is Google Analytics free?

Google provides a free version of Google Analytics. There is also a paid enterprise offering known as Google Analytics 360.

Is GA4 the same as Google Analytics?

GA4 is the current Google Analytics property model. The term "Google Analytics" is often used generally to refer to the platform.

What is the difference between GA4 and Universal Analytics?

Universal Analytics used an older measurement model and was replaced by GA4 for standard Google Analytics properties.

GA4 uses an event-based data model.

Can Google Analytics track sales?

Yes, when e-commerce measurement is properly implemented.

Can Google Analytics track Google Ads?

Google Ads and Google Analytics can be connected to share relevant measurement and advertising data.

Does Google Analytics track personal information?

Analytics implementations should be designed carefully to respect applicable privacy requirements and platform policies. Businesses should avoid sending prohibited personally identifiable information to Analytics.

Can Google Analytics track every user perfectly?

No.

Analytics is a measurement system, not a perfect record of every user interaction.

Factors such as consent choices, browser behavior, technical implementation and attribution methodology can affect the data.

What should a beginner learn first?

Start with:

1. 
   Users
   

2. 
   Sessions
   

3. 
   Events
   

4. 
   Key events
   

5. 
   Traffic sources
   

6. 
   Landing pages
   

7. 
   Acquisition
   

8. 
   Engagement
   

9. 
   Conversion measurement
   

10. 
    Basic reporting
    

Conclusion

Google Analytics is a powerful tool for understanding how people interact with websites and apps.

With GA4's event-based approach, marketers can measure interactions ranging from page views and clicks to purchases and other important actions.

The most useful way to approach analytics isn't to collect as much data as possible.

Instead, start with questions:

Where are users coming from?

What are they doing?

Which actions matter to the business?

What is contributing to those actions?

What can we improve?

When analytics is connected to clear business objectives, it becomes much more than a traffic-reporting tool.

Good analytics turns website and marketing activity into information that can support better decisions.