Once you know your marketing budget, the next decision is who spends it. Here’s a straight comparison of the three models — including how AI has changed the way results get measured and reported.
In our last post we walked through how much a business should actually budget for marketing. The question that follows immediately is: who should be responsible for spending it? Most business owners default to whichever option they’ve heard of first, rather than the one that actually fits their situation. This post breaks down the three real options — in-house, agency, and Marketing as a Service — on the criteria that matter, and looks at how AI-driven measurement is changing what “good reporting” should look like in 2026.
The Three Models, Side by Side
As with budget, the right answer depends on your Situation and Objective, not on which model sounds most impressive. Here’s how they compare across the factors that actually affect day-to-day results.
| In-House | Agency | Marketing as a Service | |
| Cost | High fixed cost: salary, PRSI, tools, training, recruitment | Mid-high, often with setup fees and longer contracts | Predictable monthly retainer, scales with need |
| Speed to start | Slow: 6–12 weeks to hire, plus onboarding | Moderate: onboarding and account setup | Fast: typically live within 1–2 weeks |
| Skill breadth | Limited to what one or two people can cover | Broad, but shared across many client accounts | Broad, dedicated team: strategy, content, paid, design, analytics |
| Flexibility | Low: a hire is a fixed cost regardless of workload | Low-mid: usually locked into a set scope or contract | High: retainer flexes up or down with the season |
| Risk | Single point of failure if the hire underperforms or leaves | Account handler turnover, less day-to-day visibility | Team-based delivery reduces single-person dependency |
In-House: full control, full overhead
Hiring in-house gives you a team member who lives and breathes your business, is available every day, and builds deep product knowledge over time. The trade-off is cost and skill breadth: one person, or even a small team of two or three, is rarely strong across strategy, content, paid media, design, and analytics simultaneously. Most in-house hires end up specialising in one or two areas and outsourcing the rest anyway — which means the “we’ll just hire someone” option often quietly becomes a hybrid model.
A traditional agency gives access to a wide skill set without the overhead of employment. The trade-off is that your account is one of many, service is usually built around fixed retainer scopes that are slow to flex, and reporting is often a monthly or quarterly PDF assembled well after the period it covers — useful for a record, less useful for a decision that needs making this week.
Marketing as a Service: team access with retainer flexibility
MaaS is structured to take the best of both: a dedicated team covering the full skill set, but without the fixed overhead of employment or the rigid scope of a traditional agency contract. Retainers flex with the season, and — critically — the reporting is built to support decisions in real time rather than after the fact.
What It Actually Costs: An Irish SME View
Numbers below are illustrative annual ranges based on the Irish market, to help frame the comparison — actual figures will vary by sector, seniority, and scope.
| Model | Typical annual investment | What’s actually included |
| In-house marketing executive | €42,000–€55,000 salary + approx. 15–20% employer overhead (PRSI, leave, tools) = €48,000–€66,000 | One person, one skill set — usually needs external support for design, paid media, or dev |
| Traditional agency | €24,000–€60,000+ depending on scope, often plus separate media spend | Shared account team, typically time-boxed scope, reporting monthly or quarterly |
| Marketing as a Service | €18,000–€42,000 depending on retainer level, plus media spend | Full team access, real-time AI-powered reporting, flexible scope |
The headline number rarely tells the full story. An in-house salary looks cheaper than a retainer until you add recruitment costs, the tools an in-house marketer needs to buy separately, and the gap in specialist skills that inevitably gets outsourced anyway.
The Part Most Businesses Get Wrong: How Performance Gets Measured
Whichever model you choose, the model is only as good as your ability to see what’s actually working. This is where most businesses — regardless of whether they’ve gone in-house, agency, or MaaS — fall short. Reporting is too often a static document, built manually, delivered weeks after the activity it describes, and too high-level to support a real decision.
This is a deliberate point of difference in how we work. Every campaign we run is measured and reported through AgencyDashboard.io, an AI-powered performance platform that sits at the centre of our Marketing as a Service model.
- Every metric that matters — cost per lead, conversion rate, channel-by-channel ROI, share of search, campaign pacing — is captured continuously, not compiled at month-end
- AI does the heavy lifting on analysis: flagging underperforming channels, surfacing the metrics that actually correlate with revenue, and cutting through vanity metrics like impressions or likes
- Reports are generated and interpreted by AI, meaning insight is available on demand rather than waiting for a scheduled review call
- Business owners can see, in plain language, what’s working, what isn’t, and what to do next — without needing to interpret a spreadsheet themselves
This matters because the biggest cost in marketing isn’t usually the spend itself — it’s the delay between a channel underperforming and someone noticing. AI-driven, always-on measurement closes that gap. Frankly, every business owner should be insisting on this level of visibility from whoever manages their marketing, regardless of which of the three models they choose.
The Bigger Shift: AI Is Changing What ‘Good Marketing Management’ Looks Like
AgencyDashboard.io is one part of a much broader trend. Across every stage of marketing — research, content production, media buying, and measurement — AI is moving from a novelty to a baseline expectation. Businesses that adopt it well are pulling ahead; those that treat it as optional are increasingly working with a genuine information disadvantage against competitors who can see their numbers in real time.
How to make the best use of AI in your marketing, whichever model you choose:
- Insist on real-time reporting, not static monthly decks — if your current setup can’t tell you how a campaign is performing today, it’s already out of date
- Use AI for pattern-spotting, not decision-making — AI is excellent at flagging what changed and why; the strategic call on what to do about it should stay with people who understand your business and customers
- Feed AI clean, consistent data — fragmented tracking (multiple ad accounts, no unified analytics) blunts the value of any AI layered on top, so tracking hygiene comes first
- Use AI to protect capacity, not just to cut cost — automating reporting and routine analysis frees your team (in-house or agency) to spend time on strategy and creative, rather than assembling spreadsheets
- Treat AI visibility (GEO) as part of the same shift — the same AI tools now shaping how customers find you (via ChatGPT, Perplexity, and AI Overviews) are shaping how you should be measuring what happens once they arrive.
A Simple Way to Decide
If you’re still weighing it up, a rough rule of thumb:
- Choose in-house if you need someone embedded daily in the business and you can commit to hiring across at least two or three specialisms over time
- Choose an agency if you need a single, well-defined project delivered (e.g. a rebrand or a one-off campaign) with a fixed scope and timeline
- Choose Marketing as a Service if you want broad skill coverage, flexible spend, and — critically — a real-time, AI-powered view of what’s actually working, without the overhead of building that capability yourself.
Frequently Asked Questions
Can I combine models — for example, an in-house marketing manager plus a MaaS team?
Yes, and it’s increasingly common. A single in-house marketing manager can act as the internal point of contact while a MaaS team covers execution across content, paid media, and design — giving you daily oversight without the cost of building a full internal team.
How is AI-powered reporting different from the dashboards agencies already provide?
Most agency dashboards display data — they show you numbers. An AI-powered platform like AgencyDashboard.io interprets it: flagging what’s underperforming, explaining likely causes, and surfacing the specific metrics tied to revenue rather than requiring you to dig through a spreadsheet to find them.
Is Marketing as a Service suitable for very small businesses?
Yes — it’s often a better fit for smaller businesses than either alternative, because it avoids the fixed cost of a hire while still providing broader skill coverage than most small businesses could afford to build in-house.
What happens if my business needs change halfway through a retainer?
This is one of the main advantages of the MaaS model over a traditional agency contract: retainers are built to flex with a season, a launch, or a change in priorities, rather than locking you into a fixed scope for the full contract term.
Do I need to understand AI or data analytics myself to benefit from this?
No — that’s the point. AI-powered reporting is built to translate performance data into plain-language recommendations, so decisions can be made by business owners without requiring them to become data analysts themselves.
Need Help With Your Project?