Practice Test Flashcards
7 cards from real Mobile Marketing practice questions. Tap to flip, then mark Knew It or Still Learning — missed cards come back until you master them.
Read the first 7 Practice Test flashcards as text
What is 'cost per install' (CPI) in mobile marketing?
Answer: The amount an advertiser pays each time a user installs their app as a result of an ad
CPI is calculated by dividing total ad spend by the number of installs generated, making it a key performance indicator for user acquisition campaigns.
Which iOS feature significantly impacted mobile ad tracking by requiring user permission to share their IDFA?
Answer: App Tracking Transparency (ATT)
Apple's ATT framework, introduced in iOS 14.5, requires apps to ask users for permission before tracking them using the IDFA, reducing advertiser data availability.
A mobile marketer segments users by 'recency, frequency, and monetary value.' What is this segmentation model called?
Answer: RFM analysis
RFM analysis scores users on how recently they engaged, how often they engage, and how much revenue they generate, enabling targeted re-engagement strategies.
What is 'programmatic advertising' in the mobile context?
Answer: Automated, real-time buying and selling of mobile ad inventory using algorithms
Programmatic mobile advertising uses real-time bidding (RTB) and demand-side platforms (DSPs) to automate the purchase of ad impressions at scale.
Which of the following metrics best indicates the monetization effectiveness of a mobile app?
Answer: Average revenue per user (ARPU)
ARPU measures the average revenue generated per user over a given period, directly reflecting how well the app converts its user base into revenue.
What does 'A/B testing' allow mobile marketers to determine?
Answer: Which version of an ad, message, or feature performs better with real users
A/B testing splits an audience into two groups, each seeing a different variation, and compares outcomes to identify the statistically better-performing option.
In mobile marketing, what is a 'cohort analysis' used for?
Answer: Tracking the behavior of a group of users who share a common characteristic over time
Cohort analysis groups users by a shared trait—such as install week—and tracks how that group behaves over time, revealing retention and monetization trends.