Audience targeting (demographics, interests, lookalike) in Digital Marketing - Interactive Code Practice

Practice - 5 Tasks

1fill in blank

easy

Complete the code to select the audience based on age group.

Digital Marketing

target_audience = audience.filter(age [1] 25 to 34)

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

Abetween

Bequals

Cexcludes

Dincludes

Attempts:

3 left

💡 Hint

Common Mistakes

Using 'equals' selects only one age, not a range.

Using 'includes' is not a valid filter keyword here.

The correct keyword to select an age range is between, which specifies the audience aged 25 to 34.

2fill in blank

medium

Complete the code to target users interested in sports.

Digital Marketing

target_audience = audience.filter(interest == '[1]')

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

Atravel

Bcooking

Csports

Dmusic

Attempts:

3 left

💡 Hint

Common Mistakes

Selecting unrelated interests like music or cooking.

Leaving the interest blank.

The interest to target is sports to reach users who like sports-related content.

3fill in blank

hard

Fix the error in the code to create a lookalike audience.

Digital Marketing

lookalike_audience = create_lookalike(source_audience, [1]=1)

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

Ascale

Bweight

Cpercentage

Dsize

Attempts:

3 left

💡 Hint

Common Mistakes

Using 'scale' or 'percentage' which are not valid parameters here.

Using 'weight' which is unrelated.

The correct parameter to define the size of the lookalike audience is size.

4fill in blank

hard

Fill both blanks to filter audience by gender and location.

Digital Marketing

filtered_audience = audience.filter(gender == '[1]' and location == '[2]')

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

Afemale

Bmale

CUSA

DCanada

Attempts:

3 left

💡 Hint

Common Mistakes

Mixing gender and location values.

Using invalid country names.

The code filters for female users located in the USA.

5fill in blank

hard

Fill all three blanks to create a dictionary for audience segments with age, interest, and lookalike score.

Digital Marketing

audience_segments = { [1]: '[2]', 'interest': '[3]'}

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

A'age'

B30-40

Cfitness

D'score'

Attempts:

3 left

💡 Hint

Common Mistakes

Using 'score' as a key instead of 'age'.

Mixing keys and values incorrectly.

The dictionary key for age is 'age', the age range is 30-40, and the interest is fitness.

Practice

1. What does demographic targeting focus on when showing ads?

easy

A. Websites people visit

B. People's favorite movies

C. People who look like your customers

D. Basic facts like age and location

Solution

1. Step 1: Understand demographic targeting

   Demographic targeting uses basic personal information such as age, gender, and location to show ads.

2. Step 2: Compare options

   Websites people visit relates to behavioral targeting, favorite movies to interests, and people who look like customers to lookalike targeting.

3. Final Answer:

   Basic facts like age and location -> Option D

4. Quick Check:

   Demographics = age, location [OK]

Hint: Demographics = basic personal facts like age [OK]

Common Mistakes:

• Confusing interests with demographics
• Thinking lookalike means demographics
• Mixing online behavior with basic facts

2. Which of the following is the correct way to describe lookalike audience targeting?

easy

A. Finding new people similar to your best customers

B. Targeting people based on their exact location

C. Showing ads only to people who visited your website

D. Targeting users by their favorite hobbies

Solution

1. Step 1: Define lookalike targeting

   Lookalike targeting finds new people who share similar traits with your best existing customers.

2. Step 2: Eliminate other options

   Targeting people based on their exact location is about location, C is retargeting website visitors, and D is interest targeting.

3. Final Answer:

   Finding new people similar to your best customers -> Option A

4. Quick Check:

   Lookalike = similar new people [OK]

Hint: Lookalike = find new similar people [OK]

Common Mistakes:

• Confusing lookalike with location targeting
• Mixing retargeting with lookalike
• Thinking lookalike targets hobbies

3. If an advertiser wants to show ads to people who like hiking and outdoor activities, which audience targeting should they use?

medium

A. Demographic targeting

B. Lookalike targeting

C. Interest targeting

D. Location targeting

Solution

1. Step 1: Identify the targeting type for hobbies

   Interest targeting focuses on what people enjoy or do online, like hiking and outdoor activities.

2. Step 2: Exclude other targeting types

   Demographics target basic facts, lookalike finds similar people, and location targets places.

3. Final Answer:

   Interest targeting -> Option C

4. Quick Check:

   Hobbies = Interest targeting [OK]

Hint: Hobbies and likes = interest targeting [OK]

Common Mistakes:

• Choosing demographics for hobbies
• Confusing lookalike with interests
• Mixing location with interests

4. An advertiser tries to create a lookalike audience but accidentally selects demographic targeting instead. What is the main issue?

medium

A. The ads will target basic facts, not similar new customers

B. The ads will only show to people with similar interests

C. The ads will reach people who visited the website

D. The ads will not run at all

Solution

1. Step 1: Understand lookalike vs demographic targeting

   Lookalike finds new similar customers; demographic targets basic facts like age and location.

2. Step 2: Identify the mistake impact

   Choosing demographic means ads target basic facts, missing the goal of finding similar new customers.

3. Final Answer:

   The ads will target basic facts, not similar new customers -> Option A

4. Quick Check:

   Wrong targeting type = wrong audience [OK]

Hint: Lookalike ≠ demographics; check targeting type carefully [OK]

Common Mistakes:

• Assuming demographic targeting finds similar customers
• Thinking ads won't run if targeting is wrong
• Confusing website visitors with lookalike

5. A company wants to increase sales by targeting new customers similar to their top buyers who are mostly women aged 25-35 interested in fitness. Which combined audience targeting strategy should they use?

hard

A. Use demographic targeting for age and gender only

B. Create a lookalike audience based on top buyers including demographics and interests

C. Target random users in the same location

D. Use interest targeting for fitness only

Solution

1. Step 1: Analyze the target customer profile

   The top buyers are women aged 25-35 interested in fitness, combining demographics and interests.

2. Step 2: Choose the best targeting strategy

   Lookalike audience based on this combined profile finds new similar customers effectively.

3. Step 3: Exclude less effective options

   Demographics or interests alone miss part of the profile; random location targeting is too broad.

4. Final Answer:

   Create a lookalike audience based on top buyers including demographics and interests -> Option B

5. Quick Check:

   Lookalike + combined data = best new customers [OK]

Hint: Combine lookalike with demographics and interests for best match [OK]

Common Mistakes:

• Using only demographics or interests separately
• Ignoring lookalike for new customer growth
• Targeting random users without data