5 tips to evaluate search engine marketing (SEM) skills
Assess SEM skills like keyword research, ad optimization, and performance tracking to ensure effective campaigns that drive measurable business growth.

Search engine marketing skills are easiest to judge from scored evidence, not from a resume line that says four years of paid search. Give the candidate one small, real campaign problem, score it against a rubric you wrote before you met them, and compare every candidate on that same scale.
Here is the awkward part. The U.S. Bureau of Labor Statistics says advertising, promotions and marketing managers typically need a bachelor's degree plus work experience in a related occupation, and it puts the median pay for marketing managers at $166,790 as of May 2025 ($133,660 for advertising and promotions managers, $165,780 across the combined group). So the market screens on experience and pays real money for it. Yet a 2022 reanalysis of selection-method validity by Sackett and colleagues places general years of experience among the weaker predictors of job performance, with structured interviews among the strongest. Screening SEM candidates on years served filters your pipeline without telling you much about who can actually run the account.
That gap is what this page fixes.
TL;DR
- Score evidence, not tenure. Years in paid search is a weak performance signal; a scored work sample and a structured interview are far better ones.
- Decide what good looks like before you write the test. Map each competency to one piece of evidence and one weight, then score every candidate the same way.
- Test diagnosis, not button-clicking. Automated bidding does the mechanics now, so the skill worth paying for is reading a bad account and deciding what to change first.
- Make the work sample small and honest: one brief, a 90 minute cap, real but anonymised data, and the same scoring rubric for everyone.
- Watch for the three tells of a weak SEM hire: no negative keyword habit, no conversion tracking question, and vanity metrics in the report.
- A certification proves exposure to the platform. It does not prove judgment, so treat it as a tiebreaker rather than a gate.
What is search engine marketing?
Search engine marketing is the practice of winning visibility on a search results page, mainly by buying it. In normal usage SEM means paid search: keyword bidding, ad copy, budget allocation and conversion tracking, usually in Google Ads or Microsoft Advertising. The money and the measurement are what make it SEM.
What is SEM in digital marketing?
Inside a digital marketing team, SEM is the channel that buys intent. Social and display interrupt someone who was doing something else. Search catches a person who has already typed what they want. That difference drives everything about how the role is judged: an SEM specialist is accountable for cost per acquisition and incremental revenue, not reach or impressions.
SEO vs SEM: where the two overlap
Definitions genuinely disagree here, and a candidate who pretends otherwise is bluffing. Some sources treat search engine marketing as the umbrella covering both paid search and search engine optimisation. Most working teams now use SEM to mean paid and SEO to mean organic. Both readings are defensible, so the useful interview question is not "which is right" but "where do the two compete for the same budget".
One honesty check is easy to run. Google names some of its more notable ranking systems in public, including BERT, RankBrain, neural matching and SpamBrain, and says plainly that this is not a complete list. A candidate who promises to work specific undisclosed ranking factors is overselling. A candidate who points you at Google's documented ranking systems and then talks about testing is doing the job.

Which SEM skills matter most when hiring?
Six competencies carry most of the performance difference between a strong SEM hire and an expensive one. The trick is to decide the weight of each before you see a single candidate, because weights set after the fact just ratify whoever you already liked.
The Testlify Competency-to-Evidence Matrix exists for this step: it maps every role to the competencies that matter, then connects each competency to measurable evidence through assessments, work samples, interviews and structured reviewer feedback. Do not start with a test. Start with the role.
Competency | What good looks like | Evidence source | Weight |
|---|---|---|---|
Account diagnosis | Opens a messy account and names the three changes worth making first, in order, with a reason | Work sample on real anonymised data | 30% |
Measurement and tracking | Asks how conversions are defined before quoting any cost per acquisition figure | Structured interview question | 20% |
Keyword and match-type judgment | Builds a tight keyword set and a negative keyword list in the same breath | Practical task, scored against a key | 15% |
Budget allocation | Moves spend between campaigns and can say what they expect to lose by doing it | Work sample, budget reallocation brief | 15% |
Reporting and communication | Builds a one-page report a founder can act on, with no vanity metrics | Spreadsheet task, reviewed blind | 10% |
Adaptability to automation | Has an opinion on where automated bidding helps and where it hides waste | Structured interview question | 10% |
Those weights are a starting point for a small team hiring one generalist, not a law. An ecommerce account with 40,000 products needs feed and shopping depth that this table underweights. Shift the percentages to the account you actually run, write them down, and leave them alone once candidates start arriving.
What makes a search engine marketing expert?
A search engine marketing expert is someone who can tell you what to stop doing. Operators optimise what is in front of them. Experts decide which campaigns deserve to exist, which keywords are buying traffic you were going to get free anyway, and when the honest answer is that paid search is the wrong channel for this product.
Three questions separate the two groups faster than any credential:
- "What would you turn off first in this account, and what do you expect to lose?" Experts answer with a tradeoff. Operators answer with a tactic.
- "How would you know whether this campaign added revenue rather than captured it?" This is the incrementality question. It is the single best filter in the whole interview, because it cannot be answered from platform training.
- "Tell me about a campaign you killed." Anyone who has run real budget has killed something. A candidate with only wins has either been lucky or is editing.
Pro tip: ask the incrementality question early, before the candidate has warmed up into pitch mode. The quality of the answer barely changes with preparation, so you learn more from it in minute six than in minute fifty.
Which search engine marketing techniques should you test?
Test the techniques that cost money when they go wrong, and skip the ones a platform now does by itself. That list has changed a lot in three years.
- Keyword research and match types. Can they build a keyword set that matches commercial intent, and do they reach for negative keywords without being asked? The negative keyword habit is the cheapest signal of a disciplined buyer.
- Ad copy and structured testing. Not "write a clever headline" but "tell me what this test proves and how long it needs to run".
- Bidding and budget allocation. Give them a fixed monthly budget, three campaigns with different returns, and a growth target that does not quite fit. Watch what they protect.
- Conversion tracking and attribution. Where are conversions defined, what counts as one, and what breaks when a form moves? Candidates who skip this step will report numbers nobody can trust.
- Landing page diagnosis. The ad is rarely the problem. Strong candidates look past the auction to the page.
What not to over-test: manual bid adjustments, exhaustive platform trivia and anything a candidate can look up in twenty seconds. That was a reasonable test in 2018. It now screens for memory rather than judgment.
Which search engine marketing tools matter in a test?
Four tools cover almost every real SEM job: the ad platform itself, an analytics product, a search console for the organic side, and a spreadsheet. Candidates will name more. The useful question is whether they can work in the four that matter when the data is messy.
Be careful about testing tool familiarity directly. A strong buyer who has spent five years in Microsoft Advertising will look weak on a Google Ads screenshot quiz and still be the better hire. Test the reasoning and let the interface be the thing they learn in week one.
Which SEM reporting tools should candidates know?
Reporting is where weak SEM candidates give themselves away, and it is the easiest skill to test honestly. Hand over a messy export of campaign data and ask for a one-page summary aimed at someone who does not run ads. You are scoring three things: did they pick metrics tied to money, did they explain a decline without hiding it, and did they recommend a next action.
Dashboard products matter less than the habit. A candidate who can build that one page in a spreadsheet can build it in any reporting tool you hand them. A candidate who can only produce a 14-tab dashboard with no recommendation will keep doing exactly that after you hire them.
Search marketing tips for a faster shortlist
Five search marketing tips that cut the time between the application and the decision, in the order they pay off:
- Write the rubric before the job post. If you cannot say what a 4 out of 5 looks like on account diagnosis, you are not ready to interview anyone.
- Replace the portfolio review with a work sample. A portfolio shows you the campaigns that went well, filtered by the candidate. A work sample shows you how they think on your data.
- Score blind where you can. Strip names from the spreadsheet task before anyone reviews it. Reviewers who have already met the candidate score the person, not the work.
- Use the same brief for every candidate. Comparable scores are the entire point. A bespoke exercise per candidate throws away the comparison you went to the trouble of building.
- Keep the unpaid ask small. A 90 minute capped task is reasonable. A full account audit is unpaid consulting, and the strongest candidates will decline it, which means your test quietly selects for the people with the least choice.
That last one is a real tradeoff rather than a platitude. Shorter tasks are fairer and get better completion rates, but they also measure less. Ninety minutes is about the point where you can see diagnosis and still look a candidate in the eye.
How do you run a fair SEM work-sample test?
Work samples earn their place because they measure the job rather than the story about the job. A well-known meta-analysis by Roth, Bobko and McFarland found work sample tests show meaningful predictive validity, while also arguing that earlier classic estimates had been overstated. Useful, then, but not magic: the value depends on job relevance, standardised scoring and a proportionate burden on the candidate.
A fair version looks like this:
- Anonymise one month of real campaign data. Change the brand names, keep the shape of the numbers.
- Write one brief and one scoring key, with a defined answer for each competency in the matrix above.
- Cap the task at 90 minutes and say so in the invitation.
- Have two reviewers score independently on a 1 to 10 scale per competency, then compare before discussing.
- Run the structured interview after the scores are in, so the conversation tests the gaps rather than repeating the exercise.
Build in a question about automation while you are there. The World Economic Forum's Future of Jobs Report 2025 expects 39% of existing skill sets to be transformed or outdated between 2025 and 2030, names AI and big data the fastest-growing skill group, and reports 86% of employers expecting AI and information processing to be transformative by 2030. On its arithmetic, 59 workers in every 100 need training by then. Paid search sits near the front of that change, because the bidding and creative mechanics an SEM specialist used to be hired for are the parts being automated first. Hire for the judgment that survives it.
Hire SEM specialists on evidence, not guesswork
The practical blocker is usually not the rubric. It is that building, sending, scoring and comparing a work sample by hand takes longer than most teams have, so the portfolio review wins by default.
Testlify closes that gap with role-specific skills assessments and work-sample question types built for exactly this shape of test. Practical tasks accept a file upload, a URL or both, so a candidate can hand back a real worked spreadsheet. Office-app questions are bound to the real products, including Google Sheets and Microsoft Excel, which means the reporting task above can be sat inside the tool the job actually uses. AI auto-scoring reads documents, spreadsheets and content at a URL, and the product's own disclaimer keeps the decision where it belongs: AI scores and insights are for guidance only, with human judgment for the final call. Weighted scoring lets you set the matrix weights directly, from x0 to x5 per test. Percentile benchmarking shows how a candidate ranks against the others who sat the same assessment, and an AI checker classifies an answer as human, AI generated or mixed. Across 25+ question types it plugs into the ATS a team already runs, with 100+ ATS integrations available.
If you want the surrounding pieces: the SEM specialist job description template covers the posting, the senior SEM manager assessment covers the senior end of the role, and the wider digital marketing manager hiring guide covers the team around the hire. For adjacent screening work, see assessing digital marketing skills, the performance marketing test walkthrough, and a bank of digital marketing interview questions to pair with the work sample.
Want to see the work-sample flow on your own data? Book a 30 minute demo and bring one messy campaign export with you.
FAQs
Senior SEO Specialist
Soham is a senior SEO specialist specializing in B2B HR tech. He covers search, answer, and generative engine optimization (SEO/AEO/GEO) for talent acquisition, skills-based hiring, and assessment-driven recruiting audiences.
LinkedInRelated resources
View all
Skill assessment
5 tips to evaluate UX/UI design skills

Skill assessment
Brand Management Skills: How to Evaluate Them Before You Hire

Skill assessment
5 tips to evaluate data validation skills

Skill assessment
5 tips to evaluate user support skills

Skill assessment
5 tips to evaluate network security skills

Skill assessment
5 tips to evaluate mobile app development skills
Get started.
Hire on proof, not resumes.
Run your first skills-based assessment free — no credit card required.