Graded Quiz: Optimizing Your Marketing Mix :Marketing Analytics with Meta (Meta Marketing Analytics Professional Certificate) Answers 2025

Question 1

Which of the following is a primary benefit of A/B testing different ads?
✅ Finding the most optimal version of an ad.
❌ Finding what channel is most effective
❌ Gauging brand awareness

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Question 2

True or False: When testing two variations of one variable, you use an A/B test.
✅ True
❌ False

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Question 3

You want to know which platform (Facebook, TV, radio) is most effective. Which study should you run?
✅ Marketing Mix Modeling (MMM)
❌ Brand Lift Test
❌ Conversion Lift Study
❌ A/B Test

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Question 4

In Facebook A/B testing, what does the power of the test mean?
✅ The likelihood that the test can detect a difference if one actually exists.
❌ Likelihood of conversions
❌ Desired results probability
❌ Repeatability

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Question 5

True or False: A good confidence level after an A/B test is at least 75%.
✅ False
❌ True

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Question 6

True or False: You can increase confidence level by running the test longer.
✅ True
❌ False

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Question 7

True or False: It’s a good idea to avoid running ad campaigns before and after an A/B test.
✅ True
❌ False

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Question 8

True or False: Marketing mix modeling is not useful for predicting future campaigns.
✅ False
❌ True

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Question 9

True or False: All data is worth including in a marketing mix model even if there isn’t something to compare it to.
✅ False
❌ True

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Question 10

What are innovations improving marketing mix modeling? (Select all that apply)
✅ Manual data collection from APIs
✅ Machine learning
❌ Streamlined consumer behaviors
❌ More social media usage

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🧾 Summary Table