Module 3 Quiz :Digital Marketing Analytics in Theory (Digital Marketing Specialization) Answers 2025
Question 1
Which of the following is an example of how verification is used?
❌ YouTube demonetizing offensive videos
✅ Confirming statistics on viewability
❌ Calling a cable company to confirm ads
❌ None of the above
Explanation:
Verification ensures ads are viewable, brand-safe, and fraud-free. Confirming viewability statistics is a core verification task.
Question 2
Which of the following best defines brand lift?
❌ How much an ad is estimated to increase sales
❌ How much a brand’s equity contributes to sales
✅ How an ad has affected perception of a brand
❌ None of the above
Explanation:
Brand lift measures changes in perception (awareness, favorability, intent) caused by advertising.
Question 3
If an ad is widely seen and talked about but received poorly, which metric will likely NOT be high?
❌ Ad recall
❌ Communication
❌ Brand awareness
✅ Favorability
Explanation:
Poor reception typically reduces favorability, even if recall and awareness are high.
Question 4
Which company will likely have the most complete customer digital behavior data?
❌ Toyota
✅ Uber
❌ Mattel
❌ Kellogg’s
Explanation:
Uber operates a fully digital, app-based service, capturing location, usage, and transaction data directly.
Question 5
Traits of a little-known but loved niche company:
❌ Low awareness & low favorability
✅ Low brand awareness & high brand favorability
❌ High ad recall & low conversation
❌ High awareness & high purchase interest
Explanation:
Niche brands are often deeply loved by a small audience but not widely known.
Question 6
Which is NOT a high-value customer for a wholesale food seller?
❌ A national supermarket chain
❌ McDonald’s
❌ The military of India
✅ A billionaire buying wine samples for personal use
Explanation:
Wholesale food sellers prioritize large, repeat institutional buyers, not individual consumers.
Question 7
Sales data tends to be more reliably objective than attribution data.
✅ True
❌ False
Explanation:
Sales are directly observed outcomes, while attribution relies on models and assumptions.
Question 8
Given revenue mix from Products A and B, what is the best conclusion?
✅ It is wise to develop more items like Product B
❌ Discontinue Product A
❌ No further DMA is needed
❌ None of the above
Explanation:
Product B generates disproportionately higher revenue, suggesting higher value potential.
Question 9
Large DMA companies like Nielsen tend to focus on:
❌ One client at a time
❌ Single-channel attribution
❌ Qualitative data over quantitative
✅ Marketing attribution models
Explanation:
Nielsen specializes in cross-channel measurement and attribution modeling.
Question 10
If sales drop after stopping newspaper ads…
❌ Attribution data would be useless
❌ They should start TV ads
❌ It is impossible to gauge impact
✅ Many sales were likely attributable to newspaper ads
Explanation:
A significant drop after removal suggests the channel contributed meaningfully to sales.
🧾 Summary Table
| Question | Correct Answer | Key Concept |
|---|---|---|
| Q1 | Confirming viewability | Verification |
| Q2 | Perception change | Brand lift |
| Q3 | Favorability | Brand metrics |
| Q4 | Uber | First-party data |
| Q5 | Low awareness, high favorability | Niche brands |
| Q6 | Individual billionaire | Customer value |
| Q7 | True | Data reliability |
| Q8 | Invest in Product B | Product mix |
| Q9 | Attribution models | DMA |
| Q10 | Sales attributable to ads | Causality |