
This tests role-related knowledge in digital advertising sales, particularly the ability to use Google’s ad platforms and data to diagnose and solve client business problems, a core duty for the Account Manager role.
Structure your answer by first acknowledging the client’s business goal, then show how you would segment and analyze campaign data to find inefficiencies, and finally propose a tailored, measurable action plan. Emphasize collaboration with internal teams and the client.
Start by reconfirming the client's actual business goal, such as leads, sales, or brand awareness, since a drop in ROI means different things depending on what the campaign was actually meant to achieve. Diagnose systematically by checking campaign structure, any recent targeting or bid strategy changes, creative fatigue, seasonality, landing page performance, conversion tracking accuracy, and shifts in the competitive landscape during that period. Segment the data by campaign, ad group, device, geography, and time period to isolate where the decline is concentrated rather than treating it as one uniform drop. Form a hypothesis on the most likely primary driver and validate it against the data before proposing any fix. Propose a tailored action plan, which might include reallocating budget toward better-performing segments, refreshing ad creative, adjusting the bidding strategy, fixing tracking or attribution gaps, or testing new audience segments. Set clear, measurable success metrics and a review timeline, and involve relevant internal specialists such as analytics or creative teams rather than presenting a fix as something you alone will resolve.
Many Filipino candidates over-explain using Taglish without offering a clear structure, saying 'Dati kasi nag-boost kami ng ads pero bumaba ang ROI, ewan ko ba parang may problema sa algorithm.' Instead, state the drop in percentages, explain how you analyzed the data, then outline specific corrective actions clearly.
Situation
In my last role at a media agency, I managed a top e-commerce client whose Google Ads campaigns suddenly underperformed. Their cost per acquisition rose by 25% over two months, threatening their quarterly targets.
Task
I needed to quickly identify the root cause of the decline and present a recovery plan that would restore performance within 30 days.
Action
I first pulled performance reports segmented by device, location, and audience, comparing them to the same period last year. I discovered that mobile conversion rates had dropped due to a slow-loading landing page after a site redesign. I also noticed that competitor ad spend in their key categories had increased. I proposed a three-pronged approach: work with their web team to optimize mobile page speed, shift budget to high-converting desktop and tablet audiences, and use Audience Insights to exclude existing customers while targeting lookalikes of their best buyers.
Result
Within four weeks, CPA returned to the previous quarter's level, and by the second month, ROI improved by 15% above the original baseline. The client increased their monthly retainer as a result.
Data-driven diagnosis combined with cross-team collaboration is essential for turning around declining campaigns.
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