How to Hire the Right Google Ads Guy for Your Business
- David Brett
- 22 hours ago
- 12 min read
You've hired the polished Google Ads specialist. The proposal is sharp, the credentials look impressive, and the presentation is full of confident language about growth. Three months later, your budget has gone into clicks, impressions, and reports, but qualified enquiries haven't moved.
That experience is common because businesses often hire a Google Ads guy based on surface signals. Certifications, attractive case studies, and confident communication matter, but they don't prove that someone can connect search demand to margin, pipeline, or revenue. The test is whether the person can make sound decisions with imperfect data, explain trade-offs clearly, and adapt as Google changes the search experience.
Ireland's paid-media market is large enough to expose weak operators quickly. Digital advertising reached €1.06 billion in 2024, up from €959 million in 2023, with the market expanding from €615 million in 2019, according to the IAB Ireland and IRM Online Adspend Study. Hiring well isn't an administrative task. It's a commercial decision.
Table of Contents
Defining What Your Business Actually Needs - Identify the operating problem - Write the one-paragraph brief
Freelancer vs Agency vs Growth Partner - Comparison at a glance
Skills and Benchmarks That Prove Competence - What technical competence looks like
Interview Questions That Reveal Real Ability - Questions worth asking
Red Flags and Onboarding Mistakes to Avoid - Fix the first fourteen days
Why Most Google Ads Hires Fail
A Dublin-based services company recently described the familiar pattern to its leadership team. The owner had chosen an agency after a persuasive sales call and a detailed proposal. The agency promised structured campaigns, regular optimisation, and transparent reporting. The account was launched quickly, but the reporting focused on clicks and impressions while sales enquiries remained weak.
The owner didn't discover the central problem immediately. The account looked busy. Search terms were appearing, ads were receiving traffic, and the monthly report contained plenty of charts. What the report didn't answer was whether the right prospects were clicking, whether tracking was reliable, or whether the budget was being allocated to commercially valuable searches.
Practical rule: A busy account isn't necessarily a productive account. Ask what changed in qualified pipeline, not how many platform actions were completed.
The business had made three hiring mistakes:
It tested presentation instead of judgement: The candidate knew how to describe campaign types, but nobody asked how they would prioritise limited budget across intent levels.
It accepted blended reporting: Brand and non-brand traffic were treated together, making the account appear healthier than its acquisition activity.
It ignored commercial context: The specialist wasn't given enough information about sales capacity, customer value, qualification criteria, or margins.
The cost went beyond wasted advertising spend. The team lost time reviewing irrelevant reports, chasing explanations, and correcting decisions that should have been made during account planning. Sales staff also began to distrust paid search because the campaign generated activity without producing enough useful conversations.
The same failure appears when a company assumes artificial intelligence can replace judgement without assigning anyone responsibility for the outcome. AI can help with analysis and workflow, but a human still needs to review recommendations, understand platform changes, and catch blind spots. A business that hires a weak operator and gives that operator more automation hasn't solved the original problem.
A robust hiring process must test strategic thinking, measurement discipline, commercial alignment, and adaptability before a contract is signed. Credentials can support the decision. They can't make it for you.
Defining What Your Business Actually Needs
Don't start by searching for a Google Ads guy. Start by defining the job.
Your monthly budget is an important filter, but it isn't the only one. A business spending under €3,000 per month generally needs a hands-on operator who can build, manage, and explain the account without excessive process. A company spending €15,000 or more per month may need a strategist who can govern structure, measurement, forecasting, landing-page priorities, and channel allocation, with execution shared across a team.
The numbers don't create rigid hiring rules. They indicate the level of operating complexity you can reasonably expect. A small account can still require specialist expertise if the market is competitive or the sale is high-value. A larger account can still fail if the business has weak tracking or no clear definition of a qualified conversion.
Identify the operating problem
Write down which of these situations describes you:
A new account: You need research, architecture, conversion tracking, landing-page alignment, ad assets, and a launch plan.
An underperforming account: You need diagnosis before further optimisation. The problem might involve search intent, bidding, tracking, offer quality, or sales follow-up.
A scaling account: You need budget allocation, incremental testing, feed or asset improvements, and stronger commercial forecasting.
A capability gap: You have an internal marketer who needs senior paid-search support rather than a fully outsourced department.
These are different jobs. Someone excellent at rebuilding accounts may not be the right person to manage a mature e-commerce programme. Someone who can set strategy across multiple channels may not be willing to handle daily search-term reviews.
Your business model matters just as much. Lead generation requires a clear definition of qualified enquiries and a connection between form submissions, calls, CRM stages, and revenue. E-commerce depends on product feeds, product-page relevance, margin, stock, and transaction tracking. SaaS and B2B companies need someone who understands longer sales cycles and the difference between a lead and an opportunity. Local services require geographic discipline, availability checks, and tight alignment between ads and booking operations.
Use the paid search strategy framework as a prompt for your internal discussion, not as a substitute for that discussion.

Write the one-paragraph brief
Before interviewing anyone, write one paragraph covering:
Revenue goal: What must paid search contribute to the business?
Efficiency target: What CPA, ROAS, lead quality, or pipeline outcome matters?
Current pain: Where does the existing account fall short?
Resources: Who owns landing pages, creative, analytics, CRM, and sales follow-up?
Scope: Do you need execution, strategy, training, or all three?
This brief prevents a common waste of time. Businesses often interview candidates for a job they haven't defined, then choose the person who sounds most convincing rather than the person who fits the actual need.
Freelancer vs Agency vs Growth Partner
The right hiring model depends on how much complexity you have, how much senior attention you need, and whether you need one operator or a wider delivery team. Cost matters, but attention and accountability matter more.
The ranges below are planning categories, not verified market prices. Use them to structure a conversation, not to treat them as universal quotations.
Comparison at a glance
Hiring Model | Typical Monthly Cost | Attention Level | Strategic Depth | Best For |
|---|---|---|---|---|
Freelancer | Lower to moderate | Direct, but capacity-dependent | Strong in their speciality | Smaller budgets and focused execution |
Boutique agency | Moderate to high | Shared across a team | Broader capability, variable senior access | Businesses needing several disciplines |
Large agency | High | Often tiered by account value | Broad resources, senior attention may be limited | Complex organisations with wider media needs |
Growth partner | Bespoke | Senior and commercially involved | Strategy plus execution | Businesses needing experienced support without a large agency structure |
A freelancer is usually the cleanest choice when you need direct communication and practical account work. You can speak to the person making the changes, which simplifies feedback and reduces handoffs. The risk is concentration. If that person lacks analytics, creative, feed, or landing-page expertise, you may need to fill the gaps internally.
A boutique agency gives you a wider bench. It may provide paid search, analytics, creative, and conversion support under one relationship. The catch is that the senior person who wins the account may not manage it day to day. Ask exactly who will build campaigns, review performance, join meetings, and approve strategic changes.
Large agencies offer scale, process, and access to broader resources. That can suit a complex organisation with several markets or channels. It often suits smaller businesses less well because the account may receive a standard operating rhythm and limited senior involvement. Prestige isn't a substitute for attention.
The growth partner model sits between employment and traditional agency outsourcing. You get senior-level involvement and practical execution, but without building a full in-house team or paying for layers of account management. This arrangement works best when both sides agree on decision rights, reporting, testing, and the commercial definition of success.
The cheapest provider is expensive when nobody owns the business outcome.
Choose a freelancer when the work is narrow and execution-heavy. Choose a boutique agency when you need several connected capabilities. Consider a larger agency only when its scale solves a real operational problem. Choose a growth partner when strategic judgement and hands-on delivery must stay close together.
Skills and Benchmarks That Prove Competence
A Google Ads certification shows that someone can use the platform and recall its concepts. It doesn't show that they can protect margin, validate conversion data, or decide when an automated recommendation should be rejected.
Test competence across four layers: account architecture, measurement, commercial judgement, and adaptation.
What technical competence looks like
A capable specialist should be able to explain how they would structure Performance Max, Search, Shopping, and brand activity for your business. They should discuss intent, budget control, asset quality, product or service relevance, exclusions, and the limits of account-level averages.
Conversion tracking deserves direct scrutiny. Ask how the candidate would validate Google Tag Manager events, check duplicate conversions, reconcile Google Ads with analytics and CRM records, and decide which actions should enter bidding. For a lead-generation business, a form completion isn't automatically equivalent to a qualified opportunity.
Irish benchmarks can provide a starting point, but they aren't a promise. A practical search baseline is approximately 3.3% to 3.5% CTR and 4.2% to 4.4% conversion rate, according to Ireland Google Ads benchmark data from XYZ Lab. The same source notes that branded campaigns can reach 8% to 12% or more CTR, which is why a blended account CTR can disguise weak non-brand performance.
Cost discipline matters because CPC varies by market. Irish PPC guidance suggests that many industries need to plan around €1 to €2 CPC, while more competitive categories can reach €4 to €12 or higher, as outlined in Irish Google Ads cost guidance from Hello Digital. The candidate should connect bids to contribution margin, sales capacity, and conversion quality rather than chasing cheap traffic.
For shopping, the same source reports benchmark figures of approximately 4.8% CTR, €0.35 CPC, 8.2% conversion rate, and 4.50 ROAS in Ireland. Treat those as comparative reference points, not guaranteed outcomes. Ask how feed structure, titles, images, stock, price, and product-page relevance influence performance.
Skill Area | What to Test For | Competent Benchmark |
|---|---|---|
Campaign architecture | Clear separation of intent, brand, non-brand, product, and service themes | Explains why each campaign exists and what decision it supports |
Measurement | GTM validation, analytics reconciliation, CRM quality, conversion hierarchy | Can distinguish a platform event from a commercially useful outcome |
Bidding | Choice of bidding method linked to data quality and business economics | Explains when automation needs constraints, segmentation, or a reset |
Query control | Match-type logic, negative keywords, search-term analysis, intent tiers | Can show how relevance is protected without blocking useful demand |
Creative and assets | Responsive search ad assets, extensions, landing-page alignment | Connects message quality to query intent and page experience |
Reporting | Brand versus non-brand, device, geography, intent, CPC, CVR, and value | Reports decisions and outcomes, not a list of platform changes |
AI adaptability | Practical use of automation with human review and safeguards | Understands that automation changes execution, not accountability |
Use this plain-English explanation of how Google Ads works to prepare non-specialist interviewers. Your aim isn't to test terminology. It's to find out whether the candidate can explain cause and effect.
Interview Questions That Reveal Real Ability
Generic questions produce rehearsed answers. Give candidates a specific situation and ask them to explain their sequence of decisions.
Start with an inherited account that has declining qualified leads. Ask, “What would you inspect before changing bids or budgets?” A strong answer starts with conversion integrity, attribution, search terms, brand and non-brand separation, landing pages, lead quality, and recent account changes. A weak answer jumps straight to broad match, new ad copy, or a different bidding strategy.
Ask, “How would you handle a disagreement between Google Ads conversions and your analytics or CRM data?” A capable specialist won't declare one system correct by default. They'll map definitions, attribution settings, time windows, imported conversions, duplicate events, offline stages, and the commercial source of truth.
Questions worth asking
“When would you stop or constrain automated bidding?” Strong candidates discuss data quality, conversion lag, volume, budget limits, seasonality, and whether the selected conversion represents value. Weak candidates describe automation as self-correcting.
“How would you structure a new service campaign with a limited monthly budget?” Look for prioritisation around commercial intent, geography, landing-page readiness, conversion actions, and a testing order. Be wary of someone who proposes covering every related query immediately.
“Tell me about an underperforming campaign you audited.” The answer should show a diagnostic chain, not a list of platform features. The candidate should explain what evidence changed their mind.
“How do you report to a non-technical owner?” Strong operators translate CPC, conversion rate, lead quality, and spend into business decisions. Weak ones hide behind dashboards.
“What risks do you see in broad match, and when would you use it?” The best response recognises that broad match can expand reach while requiring control through conversion quality, exclusions, query monitoring, and budget discipline.

Don't accept confident language without a working example. Give finalists a sanitised account snapshot containing campaign names, spend, clicks, conversions, search terms, and landing-page details. Ask for a 30-day optimisation plan with priorities, dependencies, risks, and the decisions they won't make yet.
A good submission will identify what needs verification before action. It will distinguish urgent tracking problems from useful tests, explain why budget should move, and identify what the sales team must confirm. It should also be easy for a non-specialist to understand.
Keep the exercise bounded and fair. Don't ask candidates to perform unpaid account work that you intend to use. Evaluate the thinking, structure, assumptions, and communication.
Watch the practical demonstration below, then ask the candidate to explain which parts of the workflow they would automate and which decisions they would keep under human control.
Red Flags and Onboarding Mistakes to Avoid
A polished candidate can still waste your budget. The warning sign is not limited experience. It is persuasive communication without clear accountability when performance becomes difficult to explain.
Reject anyone who guarantees a specific ROAS, ranking position, or instant result. Auction conditions, offer strength, tracking, sales follow-up, competition, and landing-page quality all affect advertising performance. A capable specialist will define how results are measured, identify improvement priorities, and explain which outcomes remain outside their control.
Test account ownership before discussing tactics. Your business should retain administrative control of Google Ads, analytics, Tag Manager, Merchant Centre, and related data systems. Grant the provider the access required for their work, but do not make the account dependent on a personal login or an agency's internal structure.
Reporting built around clicks alone is another warning sign. Irish search behaviour is changing, so visibility metrics provide a weaker proxy for demand. Analysis of 175 million Irish searches found average CTR falling from 3.62% to 2.67% year on year, while average position improved from 6.38 to 6.18, according to Friday's analysis of Irish searches and AI Overviews. Ask candidates to explain query intent, qualified conversion rate, and commercial outcomes. Anyone who cannot connect those measures is focused on the wrong problem.
Fix the first fourteen days
Your onboarding should establish:
Access and ownership: Confirm admin access, billing responsibility, user permissions, and account history.
Tracking validation: Test every primary conversion, inspect duplicate events, and compare platform data with analytics and CRM records.
Commercial briefing: Document customer types, qualification rules, margins, sales capacity, geography, and exclusions.
Baseline reporting: Agree on brand and non-brand views, intent tiers, CPC, conversion rate, lead quality, and reporting cadence.
Change control: Define who can alter budgets, bidding, targeting, tracking, and landing pages, and how urgent issues are escalated.
Use Google Ads and Google Analytics measurement guidance to make the measurement discussion specific. Do not spend weeks debating strategy before confirming that the account records the action your business values.
The search environment is changing too. Google's 2025 Marketing Live announcement says ads are expanding in AI Overviews and being tested in AI Mode. Third-party analysis reported ads on 25.56% of search results containing AI Overviews by October 2025, compared with 5.17% in March, a 394% increase, in the Friday analysis cited above. Treat those figures as a reason to test judgement, not as permission to chase every new placement.

Ask the specialist which commercial and transactional queries deserve budget, how they would improve the landing-page experience, and how they would measure qualified outcomes as informational searches attract fewer clicks. Their answers should show strategic thinking, AI-era adaptability, and an understanding of how advertising contributes to revenue.
A Smarter Alternative for Irish Businesses
A reliable hiring decision comes from five checks:
Define the job: Document the business model, account condition, budget, target outcome, and available internal support.
Match the provider: Select a freelancer, agency, in-house specialist, or growth partner according to account complexity and the attention required.
Test judgement: Give candidates account scenarios and a short paid assessment. Credentials alone do not prove sound decisions.
Verify control: Confirm account ownership, tracking responsibility, reporting access, and references before work begins.
Set the operating rhythm: Agree on KPIs, decision rights, testing priorities, and escalation procedures before launch.

Scéaled offers an alternative to hiring a generalist Google Ads operator or assigning the account to a large agency team. Its Dublin-based team includes former Google marketers and works across paid search, SEO, content, conversion optimisation, measurement, and process automation. That combination helps when the commercial problem extends beyond the ads platform.
The commercial test is straightforward: can the person connect search intent, tracking, landing pages, sales quality, and revenue decisions? A specialist who reports platform activity without explaining its commercial effect is an account operator, not a growth partner.
The strongest arrangement keeps senior judgement close to the account and uses automation for repetitive analysis and workflow. One accountable owner should oversee measurement and commercial alignment, rather than leaving those decisions between disconnected specialists.
If a previous Google Ads hire wasted budget, change the vetting process. Use the checklist, test the candidate's reasoning, and put access and reporting conditions in the contract.
Scéaled provides senior Google Ads management, paid-search strategy, measurement, SEO, and conversion support for Irish businesses that need qualified demand rather than empty traffic. Visit Scéaled to book a strategy conversation and assess whether its former-Google team and connected growth approach fit your business model and budget.
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