Suppose you launched a promotional campaign on ShopSM to drive conversions, but after the first week, the conversion rate is 60 percent below target. How would you investigate the problem and decide what to adjust?
RoleDigital Marketing Associate
DifficultyDifficult
TopicTechnical
Asked at
Why This Is Asked
ShopSM needs marketers who can interpret campaign data, spot conversion blockers, and make fast, informed adjustments. This question tests your analytical skills and familiarity with e-commerce performance metrics.
General Approach
Walk through a logical diagnostic framework: review data, segment, hypothesize, prioritize fixes (landing page, offer clarity, technical issues), test, and monitor. Show you can collaborate with technical teams if needed.
General Answer
Start by pulling the full funnel data for the campaign: impressions, click-through rate, add-to-cart rate, and completed purchase rate, to see exactly where the drop-off relative to target is concentrated, rather than assuming the whole campaign underperformed uniformly. Segment the data by channel, device, and audience to check whether the shortfall is happening everywhere or is concentrated in a specific segment, which would point to a targeting or channel-specific issue rather than a problem with the offer itself. Form a short list of hypotheses based on where the data points: if traffic is fine but conversion is weak, check the landing page for clarity of the offer, page load speed, and checkout friction; if traffic itself is below plan, check media delivery and whether the offer's visibility matches what was planned. Prioritize fixes that are fast to implement and address the biggest drop-off point first, such as clarifying a confusing offer or fixing a technical blocker, rather than trying to fix everything at once. Loop in the relevant technical or product team quickly if the issue looks like a site or app defect rather than a marketing one, and set a short monitoring window after each fix to confirm it's actually moving the number before declaring it resolved.
PH Interview Gotcha
Some candidates might say 'Tingnan ko lang kung bakit mababa, baka kulang sa ads.' Instead, demonstrate a structured analytical approach: check funnel metrics, segment data, form hypotheses, and test changes in English.
Sample STAR Answer▾
S
Situation
Imagine I am the Marketing Specialist for ShopSM and I recently launched a site-wide 'Flash Sale' promo to boost online purchases. Despite healthy traffic from our email and social media campaigns, the conversion rate is only 1.2 percent against a 3 percent target in the first week.
T
Task
My task is to identify the root cause of the underperformance and implement changes within 48 hours to improve conversions, while minimizing any negative impact on the campaign budget.
A
Action
First, I would check Google Analytics and our internal dashboard to see where users are dropping off in the funnel. I would segment data by traffic source, device type, and landing page exit rates. If I see high drop-off on the promo landing page, I would hypothesize that the value proposition is unclear or the discount mechanics are too complicated. I would then heatmap user clicks and scroll depth. Concurrently, I would run a quick A/B test with a simplified promo banner and clearer call-to-action. If the issue is technical (e.g., slow page load on mobile), I would loop in the web dev team for urgent fixes. I would also review customer support chats for common complaints.
R
Result
After identifying that the promo code field was hidden below the fold on mobile causing frustration, I moved it to the top. Conversion rate improved to 3.5 percent within three days, exceeding the original target.
Key Takeaway
Data-driven diagnosis and quick, targeted testing can rescue a campaign from underperformance.
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