Practice Test Geeks(CEC) Certified Ecommerce Consultant Practice Test
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Analytics & Performance Optimization Flashcards

7 cards from real CEC practice questions. Tap to flip, then mark Knew It or Still Learning — missed cards come back until you master them.

Read the first 7 Analytics & Performance Optimization flashcards as text

  1. An ecommerce site runs an A/B test on its product page CTA button color. After 2 weeks, the result shows p=0.08. What should the consultant recommend?

    Answer: Continue the test to gather more data or accept the null hypothesis

    A p-value of 0.08 does not meet the standard 0.05 significance threshold, meaning results are inconclusive and the test should continue or be treated as no significant difference found.

  2. Which ecommerce KPI directly measures the percentage of customers who make a second purchase?

    Answer: Repeat Purchase Rate

    Repeat Purchase Rate calculates the proportion of customers who have placed more than one order, directly measuring loyalty and retention.

  3. What is the primary purpose of setting up 'custom dimensions' in a web analytics platform?

    Answer: To capture business-specific data not tracked by default, such as logged-in status or product category

    Custom dimensions allow you to send and analyze data unique to your business that the analytics platform doesn't collect out of the box.

  4. A store's cart abandonment rate jumps from 65% to 80% after a checkout redesign. What is the most critical next step?

    Answer: Use session recordings and funnel reports to identify where users drop off in the new checkout

    Session recordings and funnel analysis pinpoint the exact step causing abandonment, enabling targeted fixes rather than guesswork.

  5. In ecommerce, 'CLV:CAC ratio' of 3:1 is generally considered:

    Answer: A healthy benchmark meaning customers generate 3x their acquisition cost

    A 3:1 CLV to CAC ratio is widely cited as the minimum healthy threshold, meaning each customer generates three times what it cost to acquire them.

  6. What does 'incrementality testing' measure in ecommerce marketing analytics?

    Answer: The true lift in conversions caused by a marketing channel versus what would have happened without it

    Incrementality testing isolates a channel's true causal impact by comparing a test group exposed to the channel against a holdout group that wasn't.

  7. Which tool is best suited for identifying specific user interaction problems on an ecommerce site through visual behavior data?

    Answer: Heatmap and session recording tools like Hotjar or Microsoft Clarity

    Heatmap and session recording tools visualize where users click, scroll, and rage-click, revealing UX friction invisible in numeric analytics alone.