AI beïnvloedt de diensten van een marketingbureau op verschillende manieren. Ten eerste kan AI helpen bij het automatiseren van repetitieve taken, zoals het plannen van sociale mediaposts, het versturen van e-mails en het genereren van rapporten. Dit stelt marketeers in staat zich te concentreren op strategische en creatieve aspecten van hun werk. Ten tweede verbetert AI de mogelijkheid om data te analyseren. AI-tools kunnen enorme hoeveelheden data verwerken om inzichten te verkrijgen in klantgedrag, markttrends en de prestaties van campagnes. Dit leidt tot beter geïnformeerde beslissingen en meer gepersonaliseerde marketingstrategieën. Daarnaast maakt AI gepersonaliseerde klantervaringen mogelijk. Door middel van machine learning kan AI klantgegevens analyseren om voorkeuren en behoeften te begrijpen, waardoor marketingberichten en aanbiedingen worden afgestemd op individuele consumenten. Contentcreatie wordt ook beïnvloed. AI kan assisteren bij het genereren van concepten voor advertentieteksten, e-mailonderwerpen en zelfs blogposts, wat het creatieve proces kan versnellen en nieuwe ideeën kan aanleveren. Predictieve analyses, aangedreven door AI, helpen bureaus om toekomstige resultaten te voorspellen, zoals klantverloop of de waarschijnlijkheid van aankoop, wat proactieve marketinginspanningen mogelijk maakt. Tot slot kan AI de effectiviteit van advertentiecampagnes optimaliseren door middel van geautomatiseerde biedingen, targeting en A/B-testen, waardoor de ROI wordt gemaximaliseerd. Kortom, AI stelt marketingbureaus in staat efficiënter, effectiever en datagedreven te werken, met als resultaat betere resultaten voor hun klanten.

Google Performance Max optimises your bids. Meta Advantage+ chooses your target audience. AI writes your ad copy. And soon, a customer will be able to set up a campaign themselves in a few clicks that just works.

Perhaps the most uncomfortable development for marketing agencies is that your client can set up successful campaigns themselves. Not because AI takes over your manual work, but because the barrier to entry for online marketing disappears. The complexity that a marketing agency provided value for years is vanishing. This leads to an entrepreneur doing it themselves or having it done by a freelancer who carries it out for a bargain price.

The question that remains, then, is: what else does your marketing agency do? Billing hours for campaign management is a business model with an expiry date. That date is coming sooner than most agencies would like to admit. But those who make the right choices now are building a position that AI won't simply take over. Because what AI cannot do is understand the story the collected data is telling and translate that insight into the right strategy. That is the added value that remains. And in this article, we explain how agencies can respond to that.

The business model of agencies is creaking.

Writing down hours for execution work always felt logical. Building campaigns, creating reports, setting up A/B tests: it all takes time. So you write down those hours, the client pays, and everyone's happy. However, that work was never strategic; it was execution. Necessary execution, and execution that certainly required expertise, but as long as that expertise was scarce, you could be well paid for it.

Scarcity is rapidly disappearing. What used to be asked of an agency to perform, an entrepreneur can now increasingly do themselves within a marketing platform. And agencies that don't yet feel this in their billable hours will feel it in their rates in the coming years. Because a client who sees AI doing the heavy lifting will sooner or later ask the question: What am I actually paying for?

The agencies that survive are not the ones that evade this question; they are the agencies that have already asked themselves this question and found an honest answer. They have stopped selling hours and started selling something the client cannot deliver themselves: insight, advice, and decisions. These three components cannot be handled by an entrepreneur or an LLM themselves because that data is not available, or that data is not understood.

What your customers will no longer have to pay for

Customers will no longer buy hours, but rather a solution. Take two agencies with the same campaign:

• Bureau A has an experienced data-driven marketer who, in an hour, sees where things are going wrong, makes three adjustments, and makes the campaign profitable.
• Bureau B is setting up an A/B test, waiting for data, evaluating after four weeks, making adjustments, waiting again, and after three months has arrived at the same result.

Who has delivered more value? Bureau A. Who gets paid more if they both bill their hours? Bureau B.

That's the problem with hours as a revenue model: it punishes efficiency and rewards slowness. And in a world where AI is taking over more and more executive work, that problem only gets bigger. Because the hours that remain are precisely the hours where most of the value lies.

What customers *do* buy

Customers buy both input and output. Two different things, but both valuable.

• Input is your strategy and advice. The questions you ask, but that the client doesn't ask themselves. The moment you say: your budget is going 60%% to a channel that demonstrably doesn't convert. Or: you measure sessions, but not what happens afterwards, so you're optimising for the wrong thing. Those sorts of insights don't come from a platform. They come from a person who understands the data AND knows what to do with it.
• Output is the result that you make possible. Not the campaign that you built, but the revenue that came out of it. The cost per acquisition that you lowered. The decision that you made in time because you had the data to see it coming.

This is increasingly being re-evaluated. Because a client who asks for a time report is actually asking the wrong question. The correct question should not be: how much time did it take? But: what did it yield for me?

If you can answer that question with data, concrete figures, and insights that come from nowhere else, you're already beyond the conversation about hourly rates.

Then you're no longer a campaign manager. Then you're the person at the table who makes decisions possible, you're the strategic partner for your clients. And that is precisely the position that agencies that will still exist in the future are moving towards. But what does this shift look like in practice?

From campaign manager to strategic partner

Becoming a strategic partner sounds appealing, but what will you do differently on Monday than last week? The answer lies in four concrete steps.

1. Understand what's actually happening. You can't give strategic advice based on data you don't trust. This starts with insight into the entire data stream, not just what's in your marketing or analytics platform, but what has actually been measured, where data is lost, and what that means for the conclusions you draw.

2. Act proactively on what you see. Don't wait for the client to ask how the campaign is performing. Identify changes yourself: a channel that is declining, a conversion rate that deviates, a campaign that costs money without results. And act on it, not in a monthly report, but at the moment it is relevant.

3. Translate data into a decision. A good agency doesn't send its client a dashboard full of charts and expect them to figure out what's important. A strategic partner translates data into a conclusion, into a recommendation, into a decision.

4. Also wants to be remunerated based on results. This means retainers based on the value you deliver, not on the number of hours you write. It requires transparency about results and the confidence to say: we stand by what we recommend.

This is the difference between a campaign manager and a strategic partner, not just in the position you hold, but in the work that you do. You spend less time building campaigns and more time understanding campaigns. You let data dictate what the next step is, not gut feeling or client pressure.

But then you need to have that data and be able to do something with it. Draw the right conclusions, and act on them. That's where most agencies are still going wrong right now: not just in how they measure, but in what they do afterwards with what they see.

How can AdPage help with this?

Many agencies already have a server-side tagging setup running for their clients, or another tracking solution. The data comes in, that's not the problem. The problem is what happens afterwards.

They open GA4, see a dashboard full of charts, and have a hunch there's something within it. But what exactly, and what they should do with it, takes time. Time they don't have, or can't allocate. The predictable result is data piling up in a report nobody looks at, the client receives a monthly update with figures they could see themselves, and the strategic conversation you actually want to have never happens.

That's the problem we solve at AdPage. Not only by ensuring reliable data comes in, but also by helping you do something with it. Within AdPage's software, you simply set up these data questions in Dutch. For example:

• Which channel had the lowest cost per acquisition last quarter?
• What is the average order value of customers coming via Meta versus Google?
• Where is the budget leaking without converting?

No reports to build, no data to export, just ask your own Data assistant get an immediate answer. You then share that answer with your client, not as a dashboard or graph, but as insight, as a conclusion, as advice. So that the conversation isn't about what the figures are, but about what you're going to do with them.

And you don't have to wait for someone to ask. If something deviates (a conversion rate suddenly drops, a channel goes quiet, a tracking issue quietly erodes your data) you'll get an immediate alert. So you'll be the first to call your client. Not to limit damage, but to show that you already saw it coming and have already fixed it.

The question isn't what AI does. The question is what you do.

The question was: what else does a marketing agency do if AI is running the campaigns? The answer is not “less”. The answer is “different”.

AI is taking over the execution. Building campaigns, optimising bids, compiling target audiences. That's not the threat, it's the liberation. Because all that work has been taking away from what makes you most valuable as a marketer: understanding what the data says, and telling your client what they should do with it.

The agencies that now understand this are building a position that AI cannot take over. They are stopping selling hours and starting to sell insights. They are not the executor that reports monthly, but the partner that advises weekly. The one who signals before the client sees it themselves, and substantiates with data why a decision is the right one.

The agencies that postpone this decision will soon notice that clients are willing to pay less for the same work. The agencies that make the change now will later wonder why they didn't start sooner.

The question is therefore not what AI does with your desk. The question is what you do with the space that AI gives you.

Curious how AdPage can help you with that? Schedule an introduction via the button below.