GMC Data Analysis & Decision Making 2

Question 1

A growth team notices their conversion rate dropped 15% after a website redesign. Which analysis method best isolates the redesign as the cause?

Accepted Answer

A/B test with a control group

Answer

An A/B test with a control group isolates the redesign's impact by comparing it against the original version under identical conditions.

Question 2

Which metric would MOST directly indicate that a growth experiment improved long-term business value rather than just short-term conversions?

Accepted Answer

Customer lifetime value (LTV)

Answer

LTV captures the total revenue a customer generates over their relationship with the business, reflecting true long-term value.

Question 3

When analyzing a marketing funnel, you find a 70% drop-off between 'Add to Cart' and 'Checkout.' What is the most appropriate next step?

Accepted Answer

Segment users who dropped off and analyze their behavior patterns

Answer

Segmenting drop-off users and analyzing their behavior reveals why they left, enabling targeted and evidence-based fixes.

Question 4

A/B test results show a p-value of 0.08. How should a growth marketer interpret this?

Accepted Answer

The result does not meet the standard 95% confidence threshold

Answer

A p-value of 0.08 exceeds the conventional 0.05 threshold, meaning the result falls short of 95% statistical significance.

Question 5

Which data visualization is BEST suited for showing how users move through sequential stages of an onboarding flow?

Accepted Answer

Funnel chart

Answer

Funnel charts visually represent the progressive drop-off between sequential stages, making them ideal for onboarding flow analysis.

(GMC) Growth Marketing Certification Practice Test