After a campaign, you find that website traffic was high but conversion rates were low, resulting in flat sales. How would you analyze this data and what recommendation would you make for the next campaign?
Why This Is Asked
No verbatim questions exist for this role, but the duty includes post-campaign post-mortems and developing optimization recommendations, so this assesses analytical thinking and data-driven decision-making.
General Approach
Use a simple framework: define metrics, segment the funnel, identify the biggest drop-off, form a hypothesis, and propose a low-cost test. Show that you let data guide your suggestions.
Sample STAR Answer▾
Situation
In a university fundraising project, our donation page received 2,000 visits from social media ads but only 20 donations, a 1% conversion rate, far below our target of 5%.
Task
I needed to identify where potential donors were dropping off and suggest an actionable improvement for the next drive.
Action
I broke down the funnel: landing page → donation form. The landing page had a 60% click-through to the form, but the form itself had an 80% abandonment rate. I hypothesized the form was too long, so I A/B tested a shorter version that asked only essential info and added a progress bar. I also checked session recordings and saw users hesitating at the payment step, so I added common mobile wallet options.
Result
In the next campaign, the shorter form increased completion by 25%, and overall conversion rose to 4.2%, nearly hitting our goal.
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