Video Ads and Commercial Audience Targeting & Segmentation 1 — Questions and Answers
Question 1: Which targeting method uses browsing history and past purchase behavior to reach users most likely to convert on a video ad?
- Contextual targeting
- Behavioral targeting (Correct answer)
- Geographic targeting
- Demographic targeting
Correct answer: Behavioral targeting
Behavioral targeting leverages data on users' past online actions—such as browsing history and purchases—to serve ads to those most likely to respond positively.
Question 2: What is a 'lookalike audience' in video ad targeting?
- Targeting users who resemble characters in your ad creative
- Targeting users with similar traits to your existing best customers (Correct answer)
- Targeting users based on physical appearance data
- Targeting users who have previously seen your competitor's ads
Correct answer: Targeting users with similar traits to your existing best customers
Lookalike audience targeting identifies new potential customers who share characteristics with your highest-value existing customers, expanding reach while maintaining relevance.
Question 3: A video advertiser wants to reach users who searched for 'running shoes' in the past 30 days. Which targeting type best describes this approach?
- Affinity audience targeting
- In-market audience targeting
- Custom intent targeting (Correct answer)
- Remarketing
Correct answer: Custom intent targeting
Custom intent targeting allows advertisers to define audiences based on specific keywords and URLs users have recently searched, going beyond broad category interests.
Question 4: Which of the following best defines frequency capping in video ad targeting?
- Limiting the total ad budget per day
- Restricting the number of times one user sees the same ad in a given period (Correct answer)
- Setting a maximum bid for a target audience segment
- Capping the number of creatives in a single campaign
Correct answer: Restricting the number of times one user sees the same ad in a given period
Frequency capping limits how many times a specific user is shown the same video ad within a defined time window, preventing ad fatigue and improving user experience.
Question 5: What distinguishes affinity audiences from in-market audiences in video ad platforms like YouTube?
- Affinity audiences are based on real-time intent signals, while in-market audiences reflect long-term interests
- Affinity audiences reflect long-term interests and lifestyles, while in-market audiences signal active purchase intent (Correct answer)
- Affinity audiences are only available for display ads, not video
- In-market audiences are built from first-party data, while affinity audiences use third-party data
Correct answer: Affinity audiences reflect long-term interests and lifestyles, while in-market audiences signal active purchase intent
Affinity audiences represent users' established passions and habits over time, while in-market audiences are users currently researching or considering a purchase in a specific category.
Question 6: A brand wants to re-engage users who watched at least 50% of a previous video ad but did not convert. Which strategy should they use?
- Contextual keyword targeting
- Video remarketing (Correct answer)
- Lookalike audience expansion
- Broad demographic targeting
Correct answer: Video remarketing
Video remarketing allows advertisers to create audience lists from users who interacted with prior video content and serve follow-up ads to them.
Question 7: What is dayparting in video ad targeting?
- Splitting a video ad into multiple shorter segments
- Scheduling ads to run only during specific hours or days of the week (Correct answer)
- Allocating different budgets for each day of a campaign
- Targeting audiences in different time zones with localized content
Correct answer: Scheduling ads to run only during specific hours or days of the week
Dayparting allows advertisers to serve video ads only during specific times or days when their target audience is most active or receptive.
Video Ads and Commercial Audience Targeting & Segmentation 1
Which targeting method uses browsing history and past purchase behavior to reach users most likely to convert on a video ad?