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Graded Quiz: Marketing Analytics in Action :Marketing Analytics with Meta (Meta Marketing Analytics Professional Certificate) Answers 2025

Question 1

When setting a SMART goal, what do the S and M stand for?
Specific and Measurable
❌ Simple and Manageable
❌ Specific and Manageable
❌ Simple and Measurable


Question 2

Blake plans to use likes as a KPI. Is this a good choice?
No
❌ Yes


Question 3

What are some limitations of observational methods? (Choose all that apply)
Doesn’t take contextual variables into account
Might deliver biased outcomes
❌ Tests may not have sufficient statistical power
❌ Very complex and time-consuming


Question 4

What could help to make Blake’s hypothesis stronger?
A time frame they are looking at the behavior
❌ A budget for the test
❌ A goal for this test
❌ A null hypothesis


Question 5

What is the preferred method of multi-touch attribution to get the most valid results?
Data-driven attribution
❌ Direct attribution
❌ Last touch attribution
❌ Model-based attribution


Question 6

Blake wants to start exploring their data. Which of the following is a good place to start?
Descriptive Statistics
❌ Visualizing The Data
❌ Creating a Model


Question 7

What can Blake attempt next after evaluating results against goals and KPIs?
Add perspective and context to the results
❌ Run a different analysis
❌ Propose alternative hypotheses


Question 8

Blake finds that people abandon purchases due to too many checkout fields. What’s the right recommendation?
Update the checkout process and reduce the number of fields.
❌ Make no recommendation
❌ Change the target audience


Question 9

When creating a presentation, what should you focus on first?
Goals, Objectives, and KPIs
❌ Data results
❌ Future plans
❌ Campaign setup


Question 10

How could you open your presentation?
All of the above
(Story, Fact, or Question)


🧾 Summary Table

Q# ✅ Correct Answer Key Concept
1 Specific and Measurable SMART goal fundamentals
2 No Likes ≠ business KPI
3 Context not included; Bias possible Observational method limits
4 A time frame SMART hypothesis improvement
5 Data-driven attribution Most valid multi-touch model
6 Descriptive Statistics First step in data exploration
7 Add perspective and context Turning results into insights
8 Update checkout fields Actionable recommendation
9 Goals, Objectives, and KPIs Foundation of presentations
10 All of the above Engaging presentation openings