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Diagnose Declining Email Click-Through Rate

Last updated: May 31, 2026

Quick Overview

This question evaluates diagnostic analytics skills including metric definition and validation, segmentation and cohort analysis, tracking and deliverability triage, hypothesis generation, and experiment-based root-cause identification.

  • medium
  • eBay
  • Analytics & Experimentation
  • Data Analyst

Diagnose Declining Email Click-Through Rate

Company: eBay

Role: Data Analyst

Category: Analytics & Experimentation

Difficulty: medium

Interview Round: HR Screen

An e-commerce marketplace sends marketing emails to sellers to encourage actions such as listing more products, joining campaigns, or using promotional tools. Recently, the email click-through rate has dropped sharply. How would you analyze the decline? In your answer, cover: 1. How you would define and validate the core metric. 2. What diagnostic cuts or segmentations you would examine. 3. How you would distinguish a real user-behavior change from a tracking, deliverability, or mix-shift issue. 4. What hypotheses could explain the decline. 5. What data or experiments you would use to confirm the root cause. 6. What actions you would recommend based on different findings.

Quick Answer: This question evaluates diagnostic analytics skills including metric definition and validation, segmentation and cohort analysis, tracking and deliverability triage, hypothesis generation, and experiment-based root-cause identification.

eBay logo
eBay
May 28, 2026, 12:00 AM
Data Analyst
HR Screen
Analytics & Experimentation
9
0

An e-commerce marketplace sends marketing emails to sellers to encourage actions such as listing more products, joining campaigns, or using promotional tools. Recently, the email click-through rate has dropped sharply.

How would you analyze the decline? In your answer, cover:

  1. How you would define and validate the core metric.
  2. What diagnostic cuts or segmentations you would examine.
  3. How you would distinguish a real user-behavior change from a tracking, deliverability, or mix-shift issue.
  4. What hypotheses could explain the decline.
  5. What data or experiments you would use to confirm the root cause.
  6. What actions you would recommend based on different findings.

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