A/B testing landing pages in Digital Marketing - Interactive Code Practice

Practice - 5 Tasks

1fill in blank

easy

Complete the sentence to explain what A/B testing is.

Digital Marketing

A/B testing is a method where you compare [1] versions of a landing page to see which performs better.

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

Aten

Bfive

Ctwo

Done

Attempts:

3 left

💡 Hint

Common Mistakes

Choosing a number other than two, like five or ten.

A/B testing compares two versions to find out which one works better.

2fill in blank

medium

Complete the sentence to identify what is tested in A/B testing.

Digital Marketing

In A/B testing, you change one [1] at a time to see its effect on user behavior.

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

Aelement

Bwebsite

Cuser

Ddevice

Attempts:

3 left

💡 Hint

Common Mistakes

Choosing 'website' or 'user' which are too broad.

Only one element, like a button or headline, is changed at a time to measure its impact.

3fill in blank

hard

Fix the error in the statement about A/B testing results.

Digital Marketing

The version with the higher [1] rate is usually considered the better option.

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

Aexit

Bbounce

Cloading

Dconversion

Attempts:

3 left

💡 Hint

Common Mistakes

Choosing bounce rate which is better when lower.

The conversion rate shows how many users complete the desired action, so higher is better.

4fill in blank

hard

Fill both blanks to describe a key step in A/B testing.

Digital Marketing

You should [1] the test for a [2] period to get reliable results.

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

Arun

Bstop

Clong

Dshort

Attempts:

3 left

💡 Hint

Common Mistakes

Choosing 'stop' or 'short' which can lead to unreliable data.

Running the test for a long period helps collect enough data for accurate conclusions.

5fill in blank

hard

Fill all three blanks to complete the A/B testing process description.

Digital Marketing

First, create [1] versions of your landing page. Then, [2] traffic evenly between them. Finally, [3] the results to decide the winner.

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

Atwo

Bsplit

Canalyze

Dignore

Attempts:

3 left

💡 Hint

Common Mistakes

Choosing 'ignore' instead of 'analyze' for the last step.

You create two versions, split traffic evenly, and analyze results to find the better page.

Practice

1. What is the main purpose of A/B testing landing pages?

easy

A. To compare two versions and find which performs better

B. To create multiple unrelated web pages

C. To increase website loading speed

D. To design logos for the website

Solution

1. Step 1: Understand the goal of A/B testing

   A/B testing is used to compare two versions of a webpage to see which one works better for visitors.

2. Step 2: Identify the correct purpose

   Among the options, only comparing two versions to find the better one matches the goal of A/B testing.

3. Final Answer:

   To compare two versions and find which performs better -> Option A

4. Quick Check:

   A/B testing purpose = Compare versions [OK]

Hint: Remember: A/B testing compares two versions only [OK]

Common Mistakes:

• Thinking A/B testing creates many unrelated pages
• Confusing A/B testing with website speed optimization
• Assuming A/B testing is for design tasks like logos

2. Which of the following is a correct step in setting up an A/B test for landing pages?

easy

A. Change the entire website design during the test

B. Test multiple changes at once to save time

C. Randomly split visitors between two page versions

D. Ignore visitor data and guess the better page

Solution

1. Step 1: Review proper A/B testing setup

   A/B testing requires splitting visitors randomly to fairly compare two versions.

2. Step 2: Identify the correct step

   Only randomly splitting visitors between two versions is a correct and essential step.

3. Final Answer:

   Randomly split visitors between two page versions -> Option C

4. Quick Check:

   Visitor split = Random between versions [OK]

Hint: Always split visitors randomly for fair comparison [OK]

Common Mistakes:

• Testing many changes at once causing unclear results
• Changing whole website instead of just landing pages
• Ignoring real visitor data during the test

3. If version A of a landing page has a 5% conversion rate and version B has a 7% conversion rate after testing with equal visitors, which version should you choose?

medium

A. Version A because it was tested first

B. Version B because it has a higher conversion rate

C. Neither, because conversion rates are too close

D. Both, by showing them randomly forever

Solution

1. Step 1: Compare conversion rates of both versions

   Version A has 5% and version B has 7%, so B performs better.

2. Step 2: Decide based on performance

   Choose the version with the higher conversion rate to improve results.

3. Final Answer:

   Version B because it has a higher conversion rate -> Option B

4. Quick Check:

   Higher conversion rate = Better version [OK]

Hint: Pick the version with the higher conversion rate [OK]

Common Mistakes:

• Choosing version tested first instead of better performing
• Ignoring small but meaningful conversion differences
• Continuing to show both versions without decision

4. A marketer ran an A/B test but changed the headline and the call-to-action button at the same time. What is the main problem with this approach?

medium

A. It makes it impossible to know which change affected results

B. It speeds up the test and gives clearer results

C. It reduces the number of visitors needed

D. It improves the website loading speed

Solution

1. Step 1: Understand the problem with multiple changes

   Changing more than one element at once confuses which change caused the result.

2. Step 2: Identify the main issue

   The main problem is losing clarity on which change improved or hurt performance.

3. Final Answer:

   It makes it impossible to know which change affected results -> Option A

4. Quick Check:

   Multiple changes = unclear results [OK]

Hint: Test one change at a time for clear results [OK]

Common Mistakes:

• Believing multiple changes speed up or clarify tests
• Thinking fewer visitors are needed with many changes
• Confusing test changes with website speed improvements

5. You want to improve a landing page using A/B testing. You have two versions: Version A with a blue button and Version B with a red button. After 1000 visitors each, Version A has 50 conversions and Version B has 55 conversions. What should you do next?

hard

A. Declare Version B the winner and switch all traffic to it immediately

B. Change both button color and headline and test again

C. Ignore the test and pick a new design randomly

D. Run the test longer to collect more data before deciding

Solution

1. Step 1: Analyze the conversion difference

   Version A has 5% conversion (50/1000), Version B has 5.5% (55/1000). The difference is small.

2. Step 2: Decide based on data size and difference

   Small differences with limited visitors need more data for reliable results.

3. Final Answer:

   Run the test longer to collect more data before deciding -> Option D

4. Quick Check:

   Small difference + limited data = test longer [OK]

Hint: Small differences need more visitors before deciding [OK]

Common Mistakes:

• Choosing winner too soon with small data
• Changing multiple elements before finalizing test
• Ignoring test results and guessing