Graded Quiz: Optimization :Data Analytics Methods for Marketing (Meta Marketing Analytics Professional Certificate) Answers 2025
Question 1
✅ It can help you predict what will work in the future for your company
✅ It can help you analyze last year’s data to understand which marketing activities contributed most to your results
✅ It can help plan how to best spend your money next year to improve results
❌ Is solely used to determine on which platform your advertisement performed best
Question 2
✅ Help you better allocate your marketing budget by knowing what works and what doesn’t.
✅ Better understand the impact of your marketing efforts.
❌ Understand the impact of Facebook ads alone on your sales.
❌ Understand the impact of organic engagement alone on your sales.
Question 3
✅ It gives more credit to first and last touch points whether they are clicks or impressions, while the credit for the remaining touchpoints in the middle is divided equally.
❌ Other options
Question 4
✅ True
❌ False
Question 5
✅ Attribution modeling can help advertisers understand how much influence their ads on different platforms had on their result
❌ Other options
Question 6
✅ Helps with in-channel optimization (❌ Not true for MMM)
✅ Great for granularity (❌ Not true for MMM)
✅ Need high quality data (True)
✅ Great for big picture (True)
Question 7
✅ Data Collection
❌ Predict your KPI
❌ Identify the variables affecting your outcome
❌ Modeling
Question 8
✅ It’s not always easy to connect data from different platforms and devices. Also, connecting all the advertising touchpoints to one individual user can be challenging
❌ Other options
Question 9
✅ Retention
✅ Awareness
✅ Conversion
❌ Exploration
Question 10
✅ True
❌ False
🧾 Summary Table
| Q# | ✅ Correct Answer(s) | Key Concept |
|---|---|---|
| 1 | Predict future, Analyze last year, Plan future spend | MMM benefits |
| 2 | Better allocate budget, Understand marketing impact | MMM purpose |
| 3 | More credit to first & last touchpoints | Positional attribution model |
| 4 | True | Attribution = assigning credit |
| 5 | Influence of ads on different platforms | Attribution modeling purpose |
| 6 | “Helps with in-channel optimization” & “Great for granularity” are not true | MMM is macro, not micro |
| 7 | Data Collection | First step in MMM |
| 8 | Hard to connect cross-device/platform data | Measurement challenge |
| 9 | Awareness, Conversion, Retention | Funnel stages |
| 10 | True | Funnel troubleshooting |