eCommerce Marketing eCommerce Analytics and Performance Measurement 2 — Questions and Answers
Question 1: What is 'cohort analysis' in eCommerce analytics?
- Grouping products by category
- Analyzing groups of customers who share a common characteristic (e.g., acquisition month) over time to understand retention and LTV trends (Correct answer)
- Analyzing competitor behavior
- Grouping orders by shipping region
Correct answer: Analyzing groups of customers who share a common characteristic (e.g., acquisition month) over time to understand retention and LTV trends
Cohort analysis groups customers by a shared starting event (like first purchase date) and tracks their behavior over time, revealing retention patterns and how different acquisition cohorts compare.
Question 2: What is 'traffic source analysis' in eCommerce and why is it important?
- Analyzing how fast traffic moves through your warehouse
- Understanding which marketing channels (organic search, paid, email, social) drive the most visitors and revenue to optimize budget allocation (Correct answer)
- Analyzing server traffic loads
- Monitoring social media mentions only
Correct answer: Understanding which marketing channels (organic search, paid, email, social) drive the most visitors and revenue to optimize budget allocation
Traffic source analysis shows which channels deliver the most valuable visitors, enabling data-driven decisions about where to invest marketing budget for the best ROI.
Question 3: What does 'session duration' measure in eCommerce analytics?
- The time it takes to process an order
- The average amount of time users spend on the website during a visit (Correct answer)
- The duration of an ad campaign
- The time between a customer's first and second purchase
Correct answer: The average amount of time users spend on the website during a visit
Session duration measures how long users engage with your site per visit; longer sessions on product and category pages often correlate with higher purchase intent and conversion rates.
Question 4: What is 'new vs. returning visitor' segmentation used for in eCommerce analytics?
- Filtering email lists
- Understanding the difference in behavior and conversion rates between first-time and repeat visitors to tailor marketing strategies (Correct answer)
- Separating wholesale from retail orders
- Comparing desktop vs. mobile traffic only
Correct answer: Understanding the difference in behavior and conversion rates between first-time and repeat visitors to tailor marketing strategies
Segmenting new vs. returning visitors reveals different conversion rates and behaviors, allowing marketers to personalize experiences — acquisition-focused for new visitors, retention-focused for returning ones.
Question 5: What is 'product performance reporting' in eCommerce analytics?
- Reporting on employee performance during order fulfillment
- Analyzing which products drive the most revenue, views, add-to-cart events, and conversions to optimize the catalog (Correct answer)
- Reviewing product packaging quality
- Tracking return rates only
Correct answer: Analyzing which products drive the most revenue, views, add-to-cart events, and conversions to optimize the catalog
Product performance reports analyze key metrics per SKU — revenue, views, conversion rate, and units sold — helping identify bestsellers, underperformers, and catalog optimization opportunities.
Question 6: What is 'attribution window' in eCommerce marketing analytics?
- The window of time your website is visible in a browser
- The time period within which a customer's action (like a purchase) is credited to a prior marketing touchpoint (Correct answer)
- The time it takes to build a campaign report
- The display window for seasonal promotions
Correct answer: The time period within which a customer's action (like a purchase) is credited to a prior marketing touchpoint
The attribution window defines how long after a marketing touchpoint (ad click, email open) a resulting conversion is credited to that touchpoint, affecting how marketing ROI is calculated.
What is 'cohort analysis' in eCommerce analytics?