Google Analytics for SEO - Interactive Code Practice

Practice - 5 Tasks

1fill in blank

easy

Complete the code to identify the metric that shows the number of users visiting a website.

SEO Fundamentals

metric = '[1]'

Drag options to blanks, or click blank then click option'

AUsers

BSessions

CBounce Rate

DPageviews

Attempts:

3 left

💡 Hint

Common Mistakes

Confusing Sessions with Users, as Sessions count visits, not unique people.

The Users metric counts the number of unique visitors to a website, which is essential for SEO analysis.

2fill in blank

medium

Complete the code to select the Google Analytics report that shows how visitors find your website.

SEO Fundamentals

report = '[1]'

Drag options to blanks, or click blank then click option'

AAudience Overview

BBehavior Flow

CAcquisition Overview

DReal-Time Overview

Attempts:

3 left

💡 Hint

Common Mistakes

Choosing Audience Overview, which focuses on visitor characteristics, not acquisition.

The Acquisition Overview report shows the channels through which visitors arrive at your website, such as organic search, direct, or referrals, which is key for SEO.

3fill in blank

hard

Fix the error in the code to correctly calculate the bounce rate percentage.

SEO Fundamentals

bounce_rate = (bounces [1] sessions) * 100

Drag options to blanks, or click blank then click option'

A-

B/

C+

D*

Attempts:

3 left

💡 Hint

Common Mistakes

Using addition or subtraction instead of division, which gives incorrect results.

The bounce rate is calculated by dividing the number of bounces by the number of sessions, then multiplying by 100 to get a percentage.

4fill in blank

hard

Fill both blanks to create a dictionary comprehension that maps each landing page to its average session duration if the duration is greater than 60 seconds.

SEO Fundamentals

avg_duration = {page: data[1] for page, data in pages.items() if data[1][2] 60}

Drag options to blanks, or click blank then click option'

A['avg_session_duration']

B<

C>

D['bounce_rate']

Attempts:

3 left

💡 Hint

Common Mistakes

Using the wrong key or comparison operator, leading to incorrect filtering.

The code extracts the average session duration for each page and filters pages where this duration is greater than 60 seconds.

5fill in blank

hard

Fill all three blanks to create a dictionary comprehension that maps keywords to their click-through rate (CTR) if CTR is above 5%.

SEO Fundamentals

ctr_data = [1]: [2] for [3] in keywords.items() if ctr > 5

Drag options to blanks, or click blank then click option'

Akeyword

Bctr

Ckeyword, ctr

Attempts:

3 left

💡 Hint

Common Mistakes

Using incorrect variable names or missing the filter condition.

The comprehension maps each keyword to its CTR, filtering only those with CTR above 5%.