Question 1
Difficulty: medium
How do you approach building a new paid search campaign from scratch for a brand you’ve never worked with before?
Sample answer
I start by understanding the business, not the keywords. I want to know the product margins, target customer, seasonality, conversion path, and what a profitable acquisition looks like. From there, I map campaigns by intent and structure them in a way that makes testing easy, usually separating brand, non-brand, competitor, and high-intent categories. I’ll build the keyword list from search term data, competitor research, and customer language, then pair it with tightly written ads and landing pages that match the intent. Before launch, I make sure tracking is clean so I can trust the data. Once the campaign is live, I watch search terms, query quality, CTR, conversion rate, and CPA closely, then refine quickly. My goal is always to launch with enough control to learn fast without wasting spend.
Question 2
Difficulty: medium
Tell me about a time you improved SEM performance through optimization.
Sample answer
In a previous role, I inherited a Google Ads account that had decent traffic but weak efficiency. The biggest issue was that the account was too broad, so relevant queries were getting mixed with low-intent traffic. I started by pulling search term reports and grouping the queries by intent, then I rebuilt the structure around tighter themes. I also added a stronger negative keyword list and shifted budget toward the campaigns and ad groups with the best conversion rate. On the creative side, I tested more specific ad copy that aligned with each audience segment instead of using generic messaging. Within a few weeks, we saw a noticeable drop in CPA and a better conversion rate, without sacrificing volume. What I learned was that performance gains often come from simplifying the account and being disciplined about segmentation, not just raising bids or budgets.
Question 3
Difficulty: medium
How do you decide whether to use broad match, phrase match, or exact match in a search campaign?
Sample answer
I treat match types as tools, not rules. My choice depends on the maturity of the account, the quality of the conversion data, and how much control we need. If I’m launching a new campaign or working in a highly regulated or niche space, I usually start with phrase and exact match to stay close to the search intent and maintain tighter control. If the account has strong conversion data and good negatives in place, broad match can be valuable because it helps uncover new queries and scale efficiently, especially when paired with smart bidding. I also look at the search terms themselves, not just the match type. If broad match is bringing in high-quality traffic and stable CPA, I’m open to using it. If it starts drifting, I tighten the structure. For me, match type strategy is really about balancing control, discovery, and efficiency.
Question 4
Difficulty: easy
What metrics do you focus on first when evaluating the health of a paid search account?
Sample answer
I start with the metrics that tell me whether the account is producing business value and whether the data is trustworthy. At the top level, I look at spend, conversions, CPA, ROAS, and conversion rate, because those show whether the account is working economically. Then I dig into CTR, impression share, and average CPC to understand demand capture and auction competitiveness. If the funnel is underperforming, I’ll also check landing page behavior and tracking integrity to make sure the issue isn’t upstream or technical. I pay close attention to search term quality, because that often reveals whether targeting is aligned with intent. I don’t like optimizing vanity metrics in isolation; a high CTR means little if the traffic doesn’t convert. My first goal is always to identify where performance is breaking down in the chain, then prioritize the highest-impact fixes.
Question 5
Difficulty: medium
How do you handle a situation where a campaign is spending heavily but not generating conversions?
Sample answer
My first step is to diagnose the problem rather than making knee-jerk changes. I check whether the issue is traffic quality, landing page performance, or tracking. If the campaign is getting clicks but no conversions, I’ll review search terms, ad relevance, and match types to see if we’re attracting the wrong audience. I also look at the landing page experience, because sometimes the traffic is fine but the page is slow, unclear, or not aligned with the ad promise. If the conversion tracking looks suspicious, I verify tags and event setup before changing bids. Once I identify the root cause, I make the smallest meaningful change first, such as adding negatives, refining ad copy, or narrowing targeting. I’ve found that disciplined troubleshooting saves budget and avoids creating new problems. The key is to move quickly, but not randomly.
Question 6
Difficulty: medium
Describe how you would run A/B tests on ad copy for a search campaign.
Sample answer
I treat ad testing as a structured experiment, not a creative exercise alone. First, I define what I want to learn, such as whether value-based messaging outperforms urgency-based messaging or whether including a specific qualifier improves conversion rate. Then I isolate the variable so I’m not changing too many elements at once. I’ll usually test one core difference in headlines or descriptions while keeping the rest consistent. I also make sure the test has enough traffic and time to produce meaningful results, because small sample sizes can be misleading. I evaluate the test using CTR, conversion rate, CPA, and sometimes downstream quality if that data is available. If one version wins, I don’t just declare victory and move on; I look at why it won and whether that insight should influence other campaigns. Good testing should improve both performance and our understanding of the audience.
Question 7
Difficulty: hard
How do you use Google Ads automation and Smart Bidding without losing control of performance?
Sample answer
I’m comfortable using automation, but I don’t treat it as a set-it-and-forget-it solution. Smart Bidding can be very effective when the account has enough conversion volume and clean tracking, but it needs guardrails. I start by making sure the campaign structure is logical, conversion actions are properly prioritized, and budgets are sufficient for the bidding strategy to learn. Then I monitor performance trends rather than reacting to every daily fluctuation. I also keep an eye on search terms, audience signals, and geo/device performance so I can catch issues that bidding alone won’t solve. If a strategy is overspending or missing targets, I’ll adjust the target CPA or ROAS gradually instead of making large swings. Automation works best when humans focus on strategy, data quality, and creative direction. I use it to scale efficiency, not to replace judgment.
Question 8
Difficulty: medium
Tell me about a time you had to work with other teams to improve SEM results.
Sample answer
In one role, I was managing search campaigns for a product that had strong demand but a landing page that wasn’t converting as well as it should. Rather than trying to fix everything inside the ad account, I partnered with the design and web teams to review the user journey. We found that the page had too many distractions above the fold and the main call to action was not obvious. I shared the paid search data so they could see which queries and messages were driving the highest-intent traffic, and we aligned the page copy with that intent. We also improved the form flow to reduce friction. After the changes went live, the campaign conversion rate improved without increasing spend. That experience reinforced for me that SEM performance is often a cross-functional problem, and the best results come when teams work from the same data and business goal.
Question 9
Difficulty: hard
How do you prioritize keywords and budgets when you have limited spend but many opportunities?
Sample answer
I prioritize based on intent, expected value, and confidence level. If budget is tight, I focus first on the keywords most likely to drive profitable conversions, usually high-intent terms closer to the bottom of the funnel. I also look at historical performance, if available, to see which segments have the best CPA or ROAS. When data is limited, I use proxy signals like commercial intent, relevance to the product, and competitiveness of the query. I’m careful not to spread budget too thin across too many campaigns, because that can make it hard to gather meaningful data. Instead, I’ll concentrate spend where it can learn fastest, then expand once I have proof. I also factor in seasonality and business goals, since sometimes the right move is to protect budget for a segment that matters strategically, even if it doesn’t have the biggest volume. The goal is to spend intentionally, not evenly.
Question 10
Difficulty: hard
What would you do if leadership asked for more conversions, but your data shows that scaling spend would likely increase CPA above target?
Sample answer
I’d be honest about the tradeoff, but I wouldn’t stop at saying no. I’d explain what the data suggests: if we scale current tactics aggressively, CPA will likely rise because we’re already capturing the most efficient demand. Then I’d present options. One option might be to expand into new keyword themes or audiences with slightly higher CPA but acceptable overall return. Another could be to improve conversion rate on the landing page so we can absorb more traffic efficiently. I might also recommend testing new ad copy, new match type strategies, or broader geo/device coverage if those segments show potential. I think leadership usually responds well when you frame the issue in business terms and offer a path forward rather than just highlighting the constraint. My job is to balance growth and efficiency and make the tradeoff visible, not pretend both can always move in the same direction.
