AD0-E408 · Question #89
Management at a subscription-based service is concerned about the churn rate among its existing customers. After analyzing customer data, they notice that users who do not engage with the latest…
The correct answer is D. Test variations of the content recommendation algorithm. Testing variations of the content recommendation algorithm (D) directly addresses the root cause: users who don't engage with relevant content are more likely to churn. Adobe Target is an A/B testing and personalization platform, so testing algorithmic variations to surface…
Question
Management at a subscription-based service is concerned about the churn rate among its existing customers. After analyzing customer data, they notice that users who do not engage with the latest content have a higher likelihood of canceling their subscriptions. What optimization strategies in Adobe Target could address this issue?
Options
- AIncrease the subscription prices for premium content
- BImplement a gamification feature on the website
- CLaunch a social media campaign to attract new users
- DTest variations of the content recommendation algorithm
How the community answered
(28 responses)- A18% (5)
- B7% (2)
- C4% (1)
- D71% (20)
Explanation
Testing variations of the content recommendation algorithm (D) directly addresses the root cause: users who don't engage with relevant content are more likely to churn. Adobe Target is an A/B testing and personalization platform, so testing algorithmic variations to surface better content matches is exactly what the tool is designed for - improving engagement through experimentation.
Why the distractors are wrong:
- A (raise prices) worsens churn by adding friction, not reducing it.
- B (gamification) is a valid engagement tactic in general, but it doesn't directly address the content relevance gap identified in the data, and it falls outside Adobe Target's optimization scope.
- C (social media campaign) targets acquisition, not retention - the wrong problem entirely.
Memory tip: When you see "Adobe Target" in a question, lock onto two keywords - test and personalize. The tool exists to run experiments and optimize user experiences. Any answer that involves testing a variation of something the user interacts with (recommendations, layouts, CTAs) is almost always the right frame. If the data points to a behavior gap (low content engagement → churn), the Adobe Target answer will fix that specific behavior through testing.
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