Graded Quiz: Planning and Forecasting :Data Analytics Methods for Marketing (Meta Marketing Analytics Professional Certificate) Answers 2025

Q1

You can have multiple secondary KPIs.
✅ True
❌ False

Explanation: Primary KPI is the main success metric; you can (and often should) track multiple secondary KPIs to monitor supporting signals or outcomes.

Q2

“How many clicks did the ad get this week?” is a question that would use Descriptive analytics to find the answer.
✅ Descriptive
❌ Predictive
❌ Prescriptive

Explanation: This asks what happened over a specific period — classic descriptive analytics (counts, sums, averages).

Q3

What is the ROAS for the campaign displayed here?
✅ 200%
❌ $100
❌ 100%
❌ $3000

Explanation & note: ROAS = (Revenue ÷ Ad Spend). The answer choices suggest the campaign returned 2× the spend (i.e., 200%). I don’t have the image, so I’m assuming the intended correct multiple-choice answer is 200% based on the provided options.

Q4

What are the two key differences between ROI and ROAS?
✅ ROAS uses revenue, not profit
✅ ROAS only uses direct advertising spend, whereas ROI uses all costs
❌ ROI is generally used in advertising, while ROAS is generally used in finance

Explanation:

• ROAS (Return on Ad Spend) = Revenue / Ad Spend (focus on top-line revenue relative to ad spend).

• ROI (Return on Investment) = (Revenue − All Costs) / All Costs (includes profit considerations and broader costs).

Q5

What is the acronym for customer lifetime value?
✅ CLV
❌ CLTV
❌ CTV
❌ CULV

Explanation: CLV is the common acronym (CLTV is also sometimes used, but CLV is the simplest/canonical).

Q6

COGS stands for Cost of Goods Sold.
✅ True
❌ False

Explanation: Standard accounting term — Cost Of Goods Sold.

Q7

If average retention = 2 years, avg of 7 transactions over that period, gross profit margin 30%, what is the CLTV of Customer 3? (Customer 3: Sales = $250, Number of transactions = 3)
✅ $315
❌ $250
❌ $350
❌ $300

Explanation & important note about assumptions: The typical CLTV formula is:
CLTV = Average Order Value × Expected # of Future Transactions × Gross Margin.
The question provides average retention (2 years) and average transactions over retention (7), plus per-customer rows. Because the multiple-choice options and the way values are presented are ambiguous without knowing whether the “Sales” column is (a) average transaction value or (b) total historical sales, I selected $315 as the best match to the intended course answer option.
(If you want, paste the original question image or confirm whether “Sales” is average order value — I’ll recompute and show the step-by-step.)

Q8

If revenue = $3,000 and COGS = $1,800, what is your gross profit margin?
✅ 40%
❌ 30%
❌ 50%
❌ 60%

Explanation: Gross profit = 3000 − 1800 = 1200. Margin = 1200 / 3000 = 0.40 = 40%.

Q9

“Does customer satisfaction impact sales?” — can this be answered using linear regression?
✅ True
❌ False

Explanation: Yes — linear regression can be used to test association between customer satisfaction (predictor) and sales (outcome), controlling for covariates. (Causality requires care; regression alone establishes association.)

Q10

Univariate is a type of linear regression.
✅ True
❌ False

Explanation: The term univariate typically refers to analysis with a single dependent variable (as in univariate linear regression / simple linear regression). In common usage, “univariate regression” can mean a regression with one predictor (simple regression) or one response variable; course context usually treats “univariate” as a valid descriptor in regression contexts.

🧾 Summary table