如何评估 Google Ads 专家：5 级面试框架

How do you tell whether a Google Ads specialist is genuinely strong? It is rarely about who can adjust bids faster or navigate the interface more confidently. The real difference is the level at which they think: Can they diagnose a problem from the data? Design a strategy for the stage of the business? Connect media decisions to profit, customers, and the wider team?

After seven years working in Google Ads—from staring at accounts every day and changing budgets and bids to thinking more systematically about growth—I have made plenty of mistakes and gradually developed my own evaluation framework. I have also interviewed candidates and exchanged ideas with many practitioners. The gap is usually not operational skill. It is the dimension of thinking.

This article turns that framework into a set of interview questions arranged across five capability levels, from execution to decision-making. The first level includes the core direction behind a strong answer. The remaining four list the questions only, because a good question is often the best prompt for better thinking. The framework is itself part of the answer: it shows the areas a capable Google Ads specialist should understand.

The five capability levels

1. Core capability and fundamentals. Does the person have a structured understanding of the core components of Google Ads? This is the foundation for every level that follows.
2. Data analysis and diagnosis. When something goes wrong, can they read the data, locate the cause, and make a sound judgment? This is the line between someone who can operate an account and someone who can solve problems.
3. Strategy and account architecture. Can they create an appropriate media plan and make decisions for different stages and conditions? This tests proactive design, not passive execution.
4. Commercial judgment and cross-functional collaboration. Can they look beyond the ad platform and understand media through the lens of profit, customers, products, and teamwork? This determines whether they can grow from an executor into a decision-maker.
5. Industry perspective and growth potential. Do they keep learning and form their own view of industry change? This determines how far they can grow over time.

Level 1: Core capability and fundamentals

1. What are the core factors that determine Google Ads performance?

A strong answer should see performance as an end-to-end chain: understand the customer’s needs and pain points; build a product that genuinely addresses them; identify the moments when a customer is likely to have purchase intent; reach those people with relevant traffic; use creative and copy to connect the product to the customer in that moment; and use the landing page to carry the conversion through. The chain runs from the product outward, not from the dashboard inward.

2. How do you think about conversion tracking in Google Ads? How do you distinguish primary from secondary conversions?

Conversion tracking is the mechanism that tells Google what counts as a valuable outcome. Primary conversions are used to guide bidding; secondary conversions are there for observation. Enhanced conversions can use customer-provided data such as an email address to recover signals that may be missed because of cross-device behavior or cookie loss. The more complete the signal, the more accurately automated bidding can learn. For European markets, consent requirements and the effect of GDPR on cookie collection also need attention.

3. Google Ads includes Search, Shopping, Performance Max, Display, Video, and Demand Gen. How do you understand their different roles?

The important point is not memorizing definitions one by one. It is understanding each format’s role in the customer decision funnel: Display and Video can create demand and build awareness at the top of the funnel; Demand Gen can nurture interest and encourage consideration in the middle; Search and Shopping capture existing demand near the bottom; and Performance Max can automatically reach across the funnel. Different stages call for different combinations.

4. What bidding strategies are available in Google Ads, and how do you think about them?

The core principle is simple: the maturity of the data should determine the degree of automation.

5. How do you approach audience targeting and remarketing? How does audience strategy differ by campaign type?

The audience logic is different across campaign types. In Search, the audience is fundamentally keyword intent. In Shopping, it is shaped by the product feed and search-term matching. In Performance Max, audience signals give the system a direction for learning; they are not hard targeting. Display and Video use more traditional audience targeting. Demand Gen reaches potential customers through interest and behavioral signals. Remarketing should also be layered: users in different recency windows have different levels of intent and should not receive the same treatment.

6. How important is creative to campaign performance? How do you test it—what do you test, which metrics do you watch, and how do you judge the result?

Creative is fundamentally about creating demand through context. The same product can perform very differently when it is presented in a different situation. The question is not simply whether an asset looks good; it is what situation it creates and what need it activates. Creative variety also expands the system’s room to optimize, so horizontal, vertical, and square formats all matter. In Shopping, the main product image is creative too, and it should be tested and iterated. Watch for creative fatigue as well: declining results are not always a bidding or audience problem—sometimes the creative has simply worn out.

7. Google Ads, the ecommerce platform, and GA4 often report different numbers. How do you interpret that, and which source do you trust?

Use Google Ads to judge media efficiency: which campaigns are performing and what should be adjusted. Use the ecommerce platform to judge the actual business outcome: how much revenue the business truly generated that month. Use GA4 to understand user behavior and the broader attribution picture: where customers came from and which paths they took.

Level 2: Data analysis and diagnosis

The key at this level is whether someone has a structured troubleshooting path instead of changing things by instinct. A person who can locate the stage where the problem begins before deciding what to change is operating at a very different level from someone who immediately changes bids or swaps creative.

1. How do you typically analyze performance and run a post-campaign review?
2. What does high CTR with low CVR usually suggest? What about low CTR with high CVR?
3. When Search performance is weak, how do you analyze it and what do you adjust?
4. When Performance Max is underperforming, which layers do you use to break down the problem?
5. When conversion costs keep rising, which dimensions do you investigate and optimize?
6. How do you decide when and how quickly to increase or reduce budget?

Level 3: Strategy and account architecture

At this level, do not only listen for operational steps. Listen for how the person creates the plan. Do they clarify the goal before choosing actions? Can they design a different approach for different stages and constraints, instead of applying the same template to every project?

1. When you take over an existing Google Ads account, what do you do first?
2. How do you operate during a cold start when there is not enough conversion data?
3. For a new product, how do the core goal and media strategy change from cold start, to growth, to stability?
4. How do you view the combination of broad-match keywords and Smart Bidding in Search?
5. How do you think about the relationship between media buying and the landing page?
6. How do you determine the maximum acceptable customer acquisition cost for a product? How should the approach differ for high-repeat-purchase versus low-repeat-purchase products?
7. How do you work with Facebook, influencer, PR, social, and operations teams? What should the collaboration look like?
8. When advertising in multiple countries, how do you structure accounts and allocate budget?

Level 4: Commercial judgment and cross-functional collaboration

This level tests whether someone can step outside the advertising interface and work through the business equation using profit, customers, products, and collaboration. A person who only watches ROAS is an executor. A person who connects media investment to the operating model is a decision-maker.

1. Is a higher Google Ads ROAS always better? How do you decide what a healthy ROAS looks like?
2. When leadership wants both stronger ROI and more scale, how do you think about the trade-off and break the goal into workable targets?
3. If the same product is sold on a DTC site and on Amazon, how should Google Ads support the two channels together?
4. How do you work with other departments during campaign execution? How can design, engineering, customer service, and supply chain each affect advertising performance?
5. How do you understand the place of paid media within the full business growth chain?
6. How do you understand customer thinking, and how does it shape your media decisions?
7. How familiar are you with competitors, the industry, the market, and the policy environment? How do you do the research?
8. How do you determine the stage of a product’s lifecycle? When should a business build a second growth curve, such as a new product, market, or channel?

Level 5: Industry perspective and growth potential

This level is not about what a person can do today. It is about how far they may go tomorrow. A personal thinking system, a habit of learning, and a considered view of industry change all shape a specialist’s long-term ceiling.

1. How do you define a brand?
2. How do you understand systems thinking in paid advertising?
3. What has been the biggest challenge you have encountered in real campaign work, and how did you solve it?
4. How do you stay current on Google Ads updates and new industry approaches?
5. Where do you see practical applications for AI in paid advertising?
6. As AI-driven buying and automation become more prevalent, what do you think the future of the Google Ads specialist role looks like? Which capability will matter most?

In the end, it is a question of judgment

Putting this list together was also a chance to reassess my own work. As the technical ceiling of campaign execution becomes more obvious and AI automation becomes more capable, the real differentiator will be higher-order thinking and the ability to keep evolving. In the end, it comes down to judgment.

For now, Levels 2 through 5 are presented as a question framework because of space. Future articles will break down some of the most useful questions with real project examples. Good questions can matter more than answers, because the questions determine the direction of your thinking.