How to use Metric Hierarchy to Guide the EDA?

An online apparel retailer is analyzing a recent decline in user purchases despite an increase in website traffic.

The data analysis team is utilizing metric hierarchy to systematically approach this issue through Root Cause Analysis. They've identified several key metrics to investigate.

Match the following metrics with the level in the metric hierarchy they most likely belong to as the team isolates the issue:

Metric I: Overall Website Traffic

Metric II: Conversion Rate per Product Category

Metric III: Average Time Spent on Product Pages

Metric IV: User Click-Through Rate from Marketing Emails

Choose the combination that accurately identifies the hierarchical level of each metric as the team narrows down the potential root causes.

Choose the closest answer:

Metric I: Low-Level, Metric II: Top-Level, Metric III: Mid-Level, Metric IV: Mid-Level.

Metric I: Mid-Level, Metric II: Low-Level, Metric III: Top-Level, Metric IV: Mid-Level.

Metric I: Top-Level, Metric II: Mid-Level, Metric III: Low-Level, Metric IV: Low-Level.

All metrics as Mid-Level.

How to use Metric Hierarchy to Guide the EDA?

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